Recent Releases of https://github.com/bivittatusdb/bivittatusdb
https://github.com/bivittatusdb/bivittatusdb - v1.2.0.5
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BivittatusDB: Operator-Based Relational Database Management System
This is a Python-based relational database management system (RDBMS) designed from scratch with operator-based functionalities. It's a standalone system not compatible with SQL or NoSQL databases, aiming to provide a simple yet functional database management solution.
Features
- Operator-based operations: The database operates using operators such as
+,-, and==to manipulate data. - Relational Structure: Organizes data in tables with rows and columns, following a relational database model.
- Basic CRUD Operations: Supports basic Create, Read, Update, and Delete operations.
- Indexing: Efficient data retrieval with indexing mechanisms.
- Transaction Management: Implements transaction management to ensure data consistency.
- Security: All databases are asymmetrically encrypted with a user defined password for each database.
Installation
Installation is now available through pip, via the latest release. To get the latest fix (with beta features) use
bash
pip install bivittatusDB
The last build is unavailable via pip at this time. Based on the release schedule, release 2.0.0.0 should be released 08/01/2025. The closest working version of build 1.0.0.0 available on PyPi is v1.0.0.1
bash
pip install bivittatusDB==1.0.0.1
Examples
See the examples directory and wiki for examples off different operations.
Usage
- clone the repo and cd into the BivitattusDB directroy
- Import bivittatusDB into your python file/interpreter.
- Follow the information from the wiki for more info on specific usage
Dependencies
The databases are saved in hybrid-asymmetrically encrypted and therefore need encryption handlers, as seen in the requirements.txt file.
bash
pip install -r .github/requirements.txt
Contributing
Contributions are welcome! If you'd like to contribute to the project, please fork the repository and submit a pull request with your changes.See Contributing & Code of Cunduct
License
This project is licensed under the MIT License.
This README.md file provides an overview of the operator-based relational database management system implemented in Python, detailing its current features, future plans, usage instructions, dependencies, and contribution guidelines. Additionally, it outlines the licensing information for the project.
Known Issues:
Due to recent updates, no issues are known at this time. All example files are acting as expected. We are accepting issues if you find anything that we have missed.
Full Changelog: https://github.com/BivittatusDB/BivittatusDB/compare/v1.2.0.2...v1.2.0.5
- Python
Published by HarbingerOfFire over 1 year ago
https://github.com/bivittatusdb/bivittatusdb - v1.2.0.4
BivittatusDB: Operator-Based Relational Database Management System
This is a Python-based relational database management system (RDBMS) designed from scratch with operator-based functionalities. It's a standalone system not compatible with SQL or NoSQL databases, aiming to provide a simple yet functional database management solution.
Features
- Operator-based operations: The database operates using operators such as
+,-, and==to manipulate data. - Relational Structure: Organizes data in tables with rows and columns, following a relational database model.
- Basic CRUD Operations: Supports basic Create, Read, Update, and Delete operations.
- Indexing: Efficient data retrieval with indexing mechanisms.
- Transaction Management: Implements transaction management to ensure data consistency.
- Security: All databases are asymmetrically encrypted with a user defined password for each database.
Installation
Installation is now available through pip, via the latest release. To get the latest fix (with beta features) use
bash
pip install bivittatusDB
The last build is unavailable via pip at this time. Based on the release schedule, release 2.0.0.0 should be released 08/01/2025. The closest working version of build 1.0.0.0 available on PyPi is v1.0.0.1
bash
pip install bivittatusDB==1.0.0.1
Examples
See the examples directory and wiki for examples off different operations.
Usage
- clone the repo and cd into the BivitattusDB directroy
- Import bivittatusDB into your python file/interpreter.
- Follow the information from the wiki for more info on specific usage
Dependencies
The databases are saved in hybrid-asymmetrically encrypted and therefore need encryption handlers, as seen in the requirements.txt file.
bash
pip install -r .github/requirements.txt
Contributing
Contributions are welcome! If you'd like to contribute to the project, please fork the repository and submit a pull request with your changes.See Contributing & Code of Cunduct
License
This project is licensed under the MIT License.
This README.md file provides an overview of the operator-based relational database management system implemented in Python, detailing its current features, future plans, usage instructions, dependencies, and contribution guidelines. Additionally, it outlines the licensing information for the project.
Known Issues:
Due to recent updates, no issues are known at this time. All example files are acting as expected. We are accepting issues if you find anything that we have missed.
Full Changelog: https://github.com/BivittatusDB/BivittatusDB/compare/v1.2.0.2...v1.2.0.4
- Python
Published by HarbingerOfFire over 1 year ago
https://github.com/bivittatusdb/bivittatusdb - v1.2.0.2
BivittatusDB: Operator-Based Relational Database Management System
This is a Python-based relational database management system (RDBMS) designed from scratch with operator-based functionalities. It's a standalone system not compatible with SQL or NoSQL databases, aiming to provide a simple yet functional database management solution.
Features
- Operator-based operations: The database operates using operators such as
+,-, and==to manipulate data. - Relational Structure: Organizes data in tables with rows and columns, following a relational database model.
- Basic CRUD Operations: Supports basic Create, Read, Update, and Delete operations.
- Indexing: Efficient data retrieval with indexing mechanisms.
- Transaction Management: Implements transaction management to ensure data consistency.
- Security: All databases are asymmetrically encrypted with a user defined password for each database.
Installation
Installation is now available through pip, via the latest release. To get the latest fix (with beta features) use
bash
pip install bivittatusDB
The last build is unavailable via pip at this time. Based on the release schedule, release 2.0.0.0 should be released 08/01/2025. The closest working version of build 1.0.0.0 available on PyPi is v1.0.0.1
bash
pip install bivittatusDB==1.0.0.1
Examples
See the examples directory and wiki for examples off different operations.
Usage
- clone the repo and cd into the BivitattusDB directroy
- Import bivittatusDB into your python file/interpreter.
- Follow the information from the wiki for more info on specific usage
Dependencies
The databases are saved in hybrid-asymmetrically encrypted and therefore need encryption handlers, as seen in the requirements.txt file.
bash
pip install -r .github/requirements.txt
Contributing
Contributions are welcome! If you'd like to contribute to the project, please fork the repository and submit a pull request with your changes.See Contributing & Code of Cunduct
License
This project is licensed under the MIT License.
This README.md file provides an overview of the operator-based relational database management system implemented in Python, detailing its current features, future plans, usage instructions, dependencies, and contribution guidelines. Additionally, it outlines the licensing information for the project.
Known Issues:
Due to recent updates, no issues are known at this time. All example files are acting as expected. We are accepting issues if you find anything that we have missed.
What's Changed
- Fixes for version 1.2.0.0 by @ScriptSlayer0 in https://github.com/BivittatusDB/BivittatusDB/pull/31
- Table creation & refactors by @ScriptSlayer0 in https://github.com/BivittatusDB/BivittatusDB/pull/32
- libbdbwin32.so -> libbdbwin32.dll by @ScriptSlayer0 in https://github.com/BivittatusDB/BivittatusDatabase/pull/5
Full Changelog: https://github.com/BivittatusDB/BivittatusDB/compare/v1.2.0.1...v1.2.0.2
- Python
Published by HarbingerOfFire over 1 year ago
https://github.com/bivittatusdb/bivittatusdb - v1.2.0.1
BivittatusDB: Operator-Based Relational Database Management System
This is a Python-based relational database management system (RDBMS) designed from scratch with operator-based functionalities. It's a standalone system not compatible with SQL or NoSQL databases, aiming to provide a simple yet functional database management solution.
Features
- Operator-based operations: The database operates using operators such as
+,-, and==to manipulate data. - Relational Structure: Organizes data in tables with rows and columns, following a relational database model.
- Basic CRUD Operations: Supports basic Create, Read, Update, and Delete operations.
- Indexing: Efficient data retrieval with indexing mechanisms.
- Transaction Management: Implements transaction management to ensure data consistency.
- Security: All databases are asymmetrically encrypted with a user defined password for each database.
Installation
Installation is now available through pip, via the latest release. To get the latest fix (with beta features) use
bash
pip install bivittatusDB
The last build is unavailable via pip at this time. Based on the release schedule, release 2.0.0.0 should be released 08/01/2025. The closest working version of build 1.0.0.0 available on PyPi is v1.0.0.1
bash
pip install bivittatusDB==1.0.0.1
Examples
See the examples directory and wiki for examples off different operations.
Usage
- clone the repo and cd into the BivitattusDB directroy
- Import bivittatusDB into your python file/interpreter.
- Follow the information from the wiki for more info on specific usage
Dependencies
The databases are saved in hybrid-asymmetrically encrypted and therefore need encryption handlers, as seen in the requirements.txt file.
bash
pip install -r .github/requirements.txt
Contributing
Contributions are welcome! If you'd like to contribute to the project, please fork the repository and submit a pull request with your changes.See Contributing & Code of Cunduct
License
This project is licensed under the MIT License.
This README.md file provides an overview of the operator-based relational database management system implemented in Python, detailing its current features, future plans, usage instructions, dependencies, and contribution guidelines. Additionally, it outlines the licensing information for the project.
Known Issues:
Due to recent updates, no issues are known at this time. All example files are acting as expected. We are accepting issues if you find anything that we have missed.
Full Changelog: https://github.com/BivittatusDB/BivittatusDB/compare/v1.2.0.0...v1.2.0.1
- Python
Published by HarbingerOfFire over 1 year ago
https://github.com/bivittatusdb/bivittatusdb - v1.2.0.0
BivittatusDB: Operator-Based Relational Database Management System
This is a Python-based relational database management system (RDBMS) designed from scratch with operator-based functionalities. It's a standalone system not compatible with SQL or NoSQL databases, aiming to provide a simple yet functional database management solution.
Features
- Operator-based operations: The database operates using operators such as
+,-, and==to manipulate data. - Relational Structure: Organizes data in tables with rows and columns, following a relational database model.
- Basic CRUD Operations: Supports basic Create, Read, Update, and Delete operations.
- Indexing: Efficient data retrieval with indexing mechanisms.
- Transaction Management: Implements transaction management to ensure data consistency.
- Security: All databases are asymmetrically encrypted with a user defined password for each database.
Installation
Installation is now available through pip, via the latest release. To get the latest fix (with beta features) use
bash
pip install bivittatusDB
The last build is unavailable via pip at this time. Based on the release schedule, release 2.0.0.0 should be released 08/01/2025. The closest working version of build 1.0.0.0 available on PyPi is v1.0.0.1
bash
pip install bivittatusDB==1.0.0.1
Examples
See the examples directory and wiki for examples off different operations.
Usage
- clone the repo and cd into the BivitattusDB directroy
- Import bivittatusDB into your python file/interpreter.
- Follow the information from the wiki for more info on specific usage
Dependencies
The databases are saved in hybrid-asymmetrically encrypted and therefore need encryption handlers, as seen in the requirements.txt file.
bash
pip install -r .github/requirements.txt
Contributing
Contributions are welcome! If you'd like to contribute to the project, please fork the repository and submit a pull request with your changes.See Contributing & Code of Cunduct
License
This project is licensed under the MIT License.
This README.md file provides an overview of the operator-based relational database management system implemented in Python, detailing its current features, future plans, usage instructions, dependencies, and contribution guidelines. Additionally, it outlines the licensing information for the project.
Known Issues:
Due to recent updates, no issues are known at this time. All example files are acting as expected. We are accepting issues if you find anything that we have missed.
What's Changed
- Update adding_rows.py by @ScriptSlayer0 in https://github.com/HarbingerOfFire/bivittatusDB/pull/24
- Refactoring update_table.py by @ScriptSlayer0 in https://github.com/HarbingerOfFire/bivittatusDB/pull/25
- Now working: metadata.py by @ScriptSlayer0 in https://github.com/HarbingerOfFire/bivittatusDB/pull/26
- Hotfix for adding_rows.py by @ScriptSlayer0 in https://github.com/HarbingerOfFire/bivittatusDB/pull/27
- add sonar tag by @HarbingerOfFire in https://github.com/HarbingerOfFire/bivittatusDB/pull/29
- Steps to version 1.2.0.0 by @ScriptSlayer0 in https://github.com/HarbingerOfFire/bivittatusDB/pull/30
Full Changelog: https://github.com/HarbingerOfFire/bivittatusDB/compare/v1.1.1.0...v1.2.0.0
- Python
Published by HarbingerOfFire over 1 year ago
https://github.com/bivittatusdb/bivittatusdb - v1.1.1.0
BivittatusDB: Operator-Based Relational Database Management System
This is a Python-based relational database management system (RDBMS) designed from scratch with operator-based functionalities. It's a standalone system not compatible with SQL or NoSQL databases, aiming to provide a simple yet functional database management solution.
Features
- Operator-based operations: The database operates using operators such as
+,-, and==to manipulate data. - Relational Structure: Organizes data in tables with rows and columns, following a relational database model.
- Basic CRUD Operations: Supports basic Create, Read, Update, and Delete operations.
- Indexing: Efficient data retrieval with indexing mechanisms.
- Transaction Management: Implements transaction management to ensure data consistency.
- Security: All databases are asymmetrically encrypted with a user defined password for each database.
Installation
Installation is now available through pip, via the latest release. To get the latest fix (!!!BROKEN!!!) (with beta features) use
bash
pip install bivittatusDB
The last build is unavailable via pip at this time. Based on the release schedule, release 2.0.0.0 should be released 08/01/2025. The closest working version of build 1.0.0.0 available on PyPi is v1.0.0.1
bash
pip install bivittatusDB==1.0.0.1
Examples
See the examples directory and wiki for examples off different operations.
Usage
- clone the repo and cd into the BivitattusDB directroy
- Import bivittatusDB into your python file/interpreter.
- Follow the information from the wiki for more info on specific usage
Dependencies
The databases are saved in hybrid-asymmetrically encrypted and therefore need encryption handlers, as seen in the requirements.txt file.
bash
pip install -r .github/requirements.txt
Contributing
Contributions are welcome! If you'd like to contribute to the project, please fork the repository and submit a pull request with your changes.See Contributing & Code of Cunduct
License
This project is licensed under the MIT License.
This README.md file provides an overview of the operator-based relational database management system implemented in Python, detailing its current features, future plans, usage instructions, dependencies, and contribution guidelines. Additionally, it outlines the licensing information for the project.
Known Issues:
Due to recent updates, no issues are known at this time. All example files are acting as expected. We are accepting issues if you find anything that we have missed.
What's Changed
- Menu Funtions now working (Adding, removing, updating & deleting) by @ScriptSlayer0 in https://github.com/HarbingerOfFire/bivittatusDB/pull/22
- Hotfix by @ScriptSlayer0 in https://github.com/HarbingerOfFire/bivittatusDB/pull/23
Full Changelog: https://github.com/HarbingerOfFire/bivittatusDB/compare/v1.1.0.6...v1.1.1.0
- Python
Published by HarbingerOfFire almost 2 years ago
https://github.com/bivittatusdb/bivittatusdb - v1.1.0.6
BivittatusDB: Operator-Based Relational Database Management System
This is a Python-based relational database management system (RDBMS) designed from scratch with operator-based functionalities. It's a standalone system not compatible with SQL or NoSQL databases, aiming to provide a simple yet functional database management solution.
Features
- Operator-based operations: The database operates using operators such as
+,-, and==to manipulate data. - Relational Structure: Organizes data in tables with rows and columns, following a relational database model.
- Basic CRUD Operations: Supports basic Create, Read, Update, and Delete operations.
- Indexing: Efficient data retrieval with indexing mechanisms.
- Transaction Management: Implements transaction management to ensure data consistency.
- Security: All databases are asymmetrically encrypted with a user defined password for each database.
Installation
Installation is now available through pip, via the latest release. To get the latest fix (!!!BROKEN!!!) (with beta features) use
bash
pip install bivittatusDB
The last build is unavailable via pip at this time. Based on the release schedule, release 2.0.0.0 should be released 08/01/2025. The closest working version of build 1.0.0.0 available on PyPi is v1.0.0.1
bash
pip install bivittatusDB==1.0.0.1
Examples
See the examples directory and wiki for examples off different operations.
Usage
- clone the repo and cd into the BivitattusDB directroy
- Import bivittatusDB into your python file/interpreter.
- Follow the information from the wiki for more info on specific usage
Dependencies
The databases are saved in hybrid-asymmetrically encrypted and therefore need encryption handlers, as seen in the requirements.txt file.
bash
pip install -r .github/requirements.txt
Contributing
Contributions are welcome! If you'd like to contribute to the project, please fork the repository and submit a pull request with your changes.See Contributing & Code of Cunduct
License
This project is licensed under the MIT License.
This README.md file provides an overview of the operator-based relational database management system implemented in Python, detailing its current features, future plans, usage instructions, dependencies, and contribution guidelines. Additionally, it outlines the licensing information for the project.
Known Issues:
Due to recent updates, no issues are known at this time. All example files are acting as expected. We are accepting issues if you find anything that we have missed.
What's Changed
- Cryptography library migration by @ScriptSlayer0 in https://github.com/HarbingerOfFire/bivittatusDB/pull/20
Full Changelog: https://github.com/HarbingerOfFire/bivittatusDB/compare/v1.1.0.5...v1.1.0.6
- Python
Published by HarbingerOfFire almost 2 years ago
https://github.com/bivittatusdb/bivittatusdb - v.1.1.05
BivittatusDB: Operator-Based Relational Database Management System
This is a Python-based relational database management system (RDBMS) designed from scratch with operator-based functionalities. It's a standalone system not compatible with SQL or NoSQL databases, aiming to provide a simple yet functional database management solution.
Features
- Operator-based operations: The database operates using operators such as
+,-, and==to manipulate data. - Relational Structure: Organizes data in tables with rows and columns, following a relational database model.
- Basic CRUD Operations: Supports basic Create, Read, Update, and Delete operations.
- Indexing: Efficient data retrieval with indexing mechanisms.
- Transaction Management: Implements transaction management to ensure data consistency.
- Security: All databases are asymmetrically encrypted with a user defined password for each database.
Installation
Installation is now available through pip, via the latest release. To get the latest fix (with beta features) use
bash
pip install bivittatusDB
The last build is unavailable at this time. Based on the release schedule, release 2.0.0.0 should be released 08/01/2025. The closest working version of build 1.0.0.0 available on PyPi is v1.0.0.1
bash
pip install bivittatusDB==1.0.0.1
Examples
See the examples directory and wiki for examples off different operations.
Usage
- clone the repo and cd into the BivitattusDB directroy
- Import bivittatusDB into your python file/interpreter.
- Follow the information from the wiki for more info on specific usage
Dependencies
The databases are saved in hybrid-asymmetrically encrypted and therefore need encryption handlers, as seen in the requirements.txt file.
bash
pip install -r .github/requirements.txt
Contributing
Contributions are welcome! If you'd like to contribute to the project, please fork the repository and submit a pull request with your changes.See Contributing & Code of Cunduct
License
This project is licensed under the MIT License.
This README.md file provides an overview of the operator-based relational database management system implemented in Python, detailing its current features, future plans, usage instructions, dependencies, and contribution guidelines. Additionally, it outlines the licensing information for the project.
Known Issues:
Due to recent updates, no issues are known at this time. All example files are acting as expected. We are accepting issues if you find anything that we have missed.
What's Changed
- Menu integration (Beta #16) & code improvements by @ScriptSlayer0 in https://github.com/HarbingerOfFire/bivittatusDB/pull/16
Full Changelog: https://github.com/HarbingerOfFire/bivittatusDB/compare/v1.1.0.3...v1.1.0.5
- Python
Published by HarbingerOfFire almost 2 years ago
https://github.com/bivittatusdb/bivittatusdb - v1.1.0.3
BivittatusDB: Operator-Based Relational Database Management System
This is a Python-based relational database management system (RDBMS) designed from scratch with operator-based functionalities. It's a standalone system not compatible with SQL or NoSQL databases, aiming to provide a simple yet functional database management solution.
Features
- Operator-based operations: The database operates using operators such as
+,-, and==to manipulate data. - Relational Structure: Organizes data in tables with rows and columns, following a relational database model.
- Basic CRUD Operations: Supports basic Create, Read, Update, and Delete operations.
- Indexing: Efficient data retrieval with indexing mechanisms.
- Transaction Management: Implements transaction management to ensure data consistency.
- Security: All databases are asymmetrically encrypted with a user defined password for each database.
Installation
Installation is now available through pip, via the latest release. To get the latest fix (with beta features) use
bash
pip install bivittatusDB
The last build is unavailable at this time. Based on the release schedule, release 2.0.0.0 should be released 08/01/2025. The closest working version of build 1.0.0.0 available on PyPi is v1.0.0.1
bash
pip install bivittatusDB==1.0.0.1
Examples
See the examples directory and wiki for examples off different operations.
Usage
- clone the repo and cd into the BivitattusDB directroy
- Import bivittatusDB into your python file/interpreter.
- Follow the information from the wiki for more info on specific usage
Dependencies
The databases are saved in hybrid-asymmetrically encrypted and therefore need encryption handlers, as seen in the requirements.txt file.
bash
pip install -r .github/requirements.txt
Contributing
Contributions are welcome! If you'd like to contribute to the project, please fork the repository and submit a pull request with your changes.See Contributing & Code of Cunduct
License
This project is licensed under the MIT License.
This README.md file provides an overview of the operator-based relational database management system implemented in Python, detailing its current features, future plans, usage instructions, dependencies, and contribution guidelines. Additionally, it outlines the licensing information for the project.
Known Issues:
Due to recent updates, no issues are known at this time. All example files are acting as expected. We are accepting issues if you find anything that we have missed.
What's Changed
- Security update & code sorting by @ScriptSlayer0 in https://github.com/HarbingerOfFire/bivittatusDB/pull/14
Full Changelog: https://github.com/HarbingerOfFire/bivittatusDB/compare/v1.1.0.2...v1.1.0.3
- Python
Published by HarbingerOfFire almost 2 years ago
https://github.com/bivittatusdb/bivittatusdb - v1.1.0.2
BivittatusDB: Operator-Based Relational Database Management System
This is a Python-based relational database management system (RDBMS) designed from scratch with operator-based functionalities. It's a standalone system not compatible with SQL or NoSQL databases, aiming to provide a simple yet functional database management solution.
Features
- Operator-based operations: The database operates using operators such as
+,-, and==to manipulate data. - Relational Structure: Organizes data in tables with rows and columns, following a relational database model.
- Basic CRUD Operations: Supports basic Create, Read, Update, and Delete operations.
- Indexing: Efficient data retrieval with indexing mechanisms.
- Transaction Management: Implements transaction management to ensure data consistency.
- Security: All databases are asymmetrically encrypted with a user defined password for each database.
Installation
Installation is now available through pip, via the latest release. To get the latest fix (with beta features) use
bash
pip install bivittatusDB
The last build is unavailable at this time. Based on the release schedule, release 2.0.0.0 should be released 08/01/2025. The closest working version of build 1.0.0.0 available on PyPi is v1.0.0.1
bash
pip install bivittatusDB==1.0.0.1
Examples
See the examples directory and wiki for examples off different operations.
Usage
- clone the repo and cd into the BivitattusDB directroy
- Import bivittatusDB into your python file/interpreter.
- Follow the information from the wiki for more info on specific usage
Dependencies
The databases are saved in hybrid-asymmetrically encrypted and therefore need encryption handlers, as seen in the requirements.txt file.
bash
pip install -r .github/requirements.txt
Contributing
Contributions are welcome! If you'd like to contribute to the project, please fork the repository and submit a pull request with your changes.See Contributing & Code of Cunduct
License
This project is licensed under the MIT License.
This README.md file provides an overview of the operator-based relational database management system implemented in Python, detailing its current features, future plans, usage instructions, dependencies, and contribution guidelines. Additionally, it outlines the licensing information for the project.
Known Issues:
Due to recent updates, no issues are known at this time. All example files are acting as expected. We are accepting issues if you find anything that we have missed.
Full Changelog: https://github.com/HarbingerOfFire/bivittatusDB/compare/v1.1.0.1...v1.1.0.2
- Python
Published by HarbingerOfFire almost 2 years ago
https://github.com/bivittatusdb/bivittatusdb - v1.1.0.1
BivittatusDB: Operator-Based Relational Database Management System
This is a Python-based relational database management system (RDBMS) designed from scratch with operator-based functionalities. It's a standalone system not compatible with SQL or NoSQL databases, aiming to provide a simple yet functional database management solution.
Features
- Operator-based operations: The database operates using operators such as
+,-, and==to manipulate data. - Relational Structure: Organizes data in tables with rows and columns, following a relational database model.
- Basic CRUD Operations: Supports basic Create, Read, Update, and Delete operations.
- Indexing: Efficient data retrieval with indexing mechanisms.
- Transaction Management: Implements transaction management to ensure data consistency.
- Security: All databases are asymmetrically encrypted with a user defined password for each database.
Installation
Installation is now available through pip, via the latest release. To get the latest fix (with beta features) use
bash
pip install bivittatusDB
The last build is unavailable at this time. Based on the release schedule, release 2.0.0.0 should be released 08/01/2025. The closest working version of build 1.0.0.0 available on PyPi is v1.0.0.1
bash
pip install bivittatusDB==1.0.0.1
Examples
See the examples directory and wiki for examples off different operations.
Usage
- clone the repo and cd into the BivitattusDB directroy
- Import bivittatusDB into your python file/interpreter.
- Follow the information from the wiki for more info on specific usage
Dependencies
The databases are saved in hybrid-asymmetrically encrypted and therefore need encryption handlers, as seen in the requirements.txt file.
bash
pip install -r .github/requirements.txt
Contributing
Contributions are welcome! If you'd like to contribute to the project, please fork the repository and submit a pull request with your changes.See Contributing & Code of Cunduct
License
This project is licensed under the MIT License.
This README.md file provides an overview of the operator-based relational database management system implemented in Python, detailing its current features, future plans, usage instructions, dependencies, and contribution guidelines. Additionally, it outlines the licensing information for the project.
Known Issues:
Due to recent updates, no issues are known at this time. All example files are acting as expected. We are accepting issues if you find anything that we have missed.
Full Changelog: https://github.com/HarbingerOfFire/bivittatusDB/compare/v1.0.0.1...v1.1.0.1
- Python
Published by HarbingerOfFire almost 2 years ago
https://github.com/bivittatusdb/bivittatusdb - v1.0.0.1
BivittatusDB: Operator-Based Relational Database Management System
This is a Python-based relational database management system (RDBMS) designed from scratch with operator-based functionalities. It's a standalone system not compatible with SQL or NoSQL databases, aiming to provide a simple yet functional database management solution.
Features
- Operator-based operations: The database operates using operators such as
+,-, and==to manipulate data. - Relational Structure: Organizes data in tables with rows and columns, following a relational database model.
- Basic CRUD Operations: Supports basic Create, Read, Update, and Delete operations.
- Indexing: Efficient data retrieval with indexing mechanisms.
- Transaction Management: Implements transaction management to ensure data consistency.
- Security: All databases are asymmetrically encrypted with a user defined password for each database.
Installation
To install this, use the following command, as the latest commit could (and probably does) have a few errors, but the last stable release is working (as far as we know):
git clone https://github.com/HarbingerOfFire/bivittatusDB/releases/tag/v1.0.0.0
Examples
See the examples directory and wiki for examples off different operations.
Usage
- clone the repo and cd into the BivitattusDB directroy
- Import bivittatusDB into your python file/interpreter.
- Follow the information from the wiki for more info on specific usage
Dependencies
The databases are saved in hybrid-asymmetrically encrypted and therefore need encryption handlers, as seen in the requirements.txt file.
bash
pip install -r .github/requirements.txt
Contributing
Contributions are welcome! If you'd like to contribute to the project, please fork the repository and submit a pull request with your changes.See Contributing & Code of Cunduct
License
This project is licensed under the MIT License.
This README.md file provides an overview of the operator-based relational database management system implemented in Python, detailing its current features, future plans, usage instructions, dependencies, and contribution guidelines. Additionally, it outlines the licensing information for the project.
Known Issues:
Due to recent updates, no issues are known at this time. All example files are acting as expected. We are accepting issues if you find anything that we have missed.
- Python
Published by HarbingerOfFire almost 2 years ago
https://github.com/bivittatusdb/bivittatusdb - v1.0.0.0
BivittatusDB: Operator-Based Relational Database Management System
This is a Python-based relational database management system (RDBMS) designed from scratch with operator-based functionalities. It's a standalone system not compatible with SQL or NoSQL databases, aiming to provide a simple yet functional database management solution.
Features
- Operator-based operations: The database operates using operators such as
+,-, and==to manipulate data. - Relational Structure: Organizes data in tables with rows and columns, following a relational database model.
- Basic CRUD Operations: Supports basic Create, Read, Update, and Delete operations.
- Indexing: Efficient data retrieval with indexing mechanisms.
- Transaction Management: Implements transaction management to ensure data consistency.
- Security: All databases are asymmetrically encrypted with a user defined password for each database.
Installation
To install this, use the following command, as the latest commit could (and probably does) have a few errors, but the last stable release is working (as far as we know):
git clone https://github.com/HarbingerOfFire/bivittatusDB/releases/tag/v1.0.0.0
Examples
See the examples directory and wiki for examples off different operations.
Usage
- clone the repo and cd into the BivitattusDB directroy
- Import bivittatusDB into your python file/interpreter.
- Follow the information from the wiki for more info on specific usage
Dependencies
The databases are saved in hybrid-asymmetrically encrypted and therefore need encryption handlers, as seen in the requirements.txt file.
bash
pip install -r .github/requirements.txt
Contributing
Contributions are welcome! If you'd like to contribute to the project, please fork the repository and submit a pull request with your changes.See Contributing & Code of Cunduct
License
This project is licensed under the MIT License.
This README.md file provides an overview of the operator-based relational database management system implemented in Python, detailing its current features, future plans, usage instructions, dependencies, and contribution guidelines. Additionally, it outlines the licensing information for the project.
Known Issues:
Due to recent updates, no issues are known at this time. All example files are acting as expected. We are accepting issues if you find anything that we have missed.
- Python
Published by HarbingerOfFire almost 2 years ago
https://github.com/bivittatusdb/bivittatusdb - v1.0.0.0
BivittatusDB: Operator-Based Relational Database Management System
This is a Python-based relational database management system (RDBMS) designed from scratch with operator-based functionalities. It's a standalone system not compatible with SQL or NoSQL databases, aiming to provide a simple yet functional database management solution.
Features
- Operator-based operations: The database operates using operators such as
+,-, and==to manipulate data. - Relational Structure: Organizes data in tables with rows and columns, following a relational database model.
- Basic CRUD Operations: Supports basic Create, Read, Update, and Delete operations.
- Indexing: Efficient data retrieval with indexing mechanisms.
- Transaction Management: Implements transaction management to ensure data consistency.
- Security: All databases are asymmetrically encrypted with a user defined password for each database.
Installation
To install this, use the following command, as the latest commit could (and probably does) have a few errors, but the last stable release is working (as far as we know):
git clone https://github.com/HarbingerOfFire/bivittatusDB/releases/tag/v1.0.0.0
Examples
See the examples directory and wiki for examples off different operations.
Usage
- clone the repo and cd into the BivitattusDB directroy
- Import bivittatusDB into your python file/interpreter.
- Follow the information from the wiki for more info on specific usage
Dependencies
The databases are saved in hybrid-asymmetrically encrypted and therefore need encryption handlers, as seen in the requirements.txt file.
bash
pip install -r .github/requirements.txt
Contributing
Contributions are welcome! If you'd like to contribute to the project, please fork the repository and submit a pull request with your changes.See Contributing & Code of Cunduct
License
This project is licensed under the MIT License.
This README.md file provides an overview of the operator-based relational database management system implemented in Python, detailing its current features, future plans, usage instructions, dependencies, and contribution guidelines. Additionally, it outlines the licensing information for the project.
Known Issues:
Due to recent updates, no issues are known at this time. All example files are acting as expected. We are accepting issues if you find anything that we have missed.
- Python
Published by HarbingerOfFire almost 2 years ago
https://github.com/bivittatusdb/bivittatusdb - BivittatusDB v4.1.0
BivittatusDB: Operator-Based Relational Database Management System
This is a Python-based relational database management system (RDBMS) designed from scratch with operator-based functionalities. It's a standalone system not compatible with SQL or NoSQL databases, aiming to provide a simple yet functional database management solution.
Features
- Operator-based operations: The database operates using operators such as
+,-, and==to manipulate data. - Relational Structure: Organizes data in tables with rows and columns, following a relational database model.
- Basic CRUD Operations: Supports basic Create, Read, Update, and Delete operations.
- Indexing: Efficient data retrieval with indexing mechanisms.
- Transaction Management: Implements transaction management to ensure data consistency.
- Security: All databases are asymmetrically encrypted with a user defined password for each database.
Installation
To install this, use the following command, as the latest commit could (and probably does) have a few errors, but the last stable release is working (as far as we know):
git clone https://github.com/HarbingerOfFire/bivittatusDB/releases/tag/v4.1.0
Examples
See the examples directory and wiki for examples off different operations.
Usage
- clone the repo and cd into the BivitattusDB directroy
- Import bivittatusDB into your python file/interpreter.
- Follow the information from the wiki for more info on specific usage
Dependencies
The databases are saved in hybrid-asymmetrically encrypted and therefore need encryption handlers, as seen in the requirements.txt file.
bash
pip install -r .github/requirements.txt
What's Changed
- Data viewing fixes by @ScriptSlayer0 in https://github.com/HarbingerOfFire/bivittatusDB/pull/4
- Script slayer0 main by @HarbingerOfFire in https://github.com/HarbingerOfFire/bivittatusDB/pull/5
- Fix: exautocommit data viewing by @ScriptSlayer0 in https://github.com/HarbingerOfFire/bivittatusDB/pull/6
Full Changelog: https://github.com/HarbingerOfFire/bivittatusDB/compare/v3.0.1...v4.1.0
- Python
Published by HarbingerOfFire almost 2 years ago
https://github.com/bivittatusdb/bivittatusdb - BivittatusDB 3.0.1
BivittatusDB: Operator-Based Relational Database Management System
This is a Python-based relational database management system (RDBMS) designed from scratch with operator-based functionalities. It's a standalone system not compatible with SQL or NoSQL databases, aiming to provide a simple yet functional database management solution.
Features
- Operator-based operations: The database operates using operators such as
+,-, and==to manipulate data. - Relational Structure: Organizes data in tables with rows and columns, following a relational database model.
- Basic CRUD Operations: Supports basic Create, Read, Update, and Delete operations.
- Indexing: Efficient data retrieval with indexing mechanisms.
- Transaction Management: Implements transaction management to ensure data consistency.
- Security: All databases are triple layer encrypted with a user defined password for each database.
Examples
See the examples directory and wiki for examples off different operations.
Usage
- clone the repo and cd into the BivitattusDB directroy
- Import bivittatusDB into your python file/interpreter.
- Follow the information from the wiki for more info on specific usage
Dependencies
The databases are saved in h5 files, and as such requires the h5py module, as seen in the requirements.txt file.
bash
pip install -r .github/requirements.txt
Contributing thanks: @Unaiperezdiaz Security update (v3.0.1)
- Python
Published by HarbingerOfFire almost 2 years ago
https://github.com/bivittatusdb/bivittatusdb - BivittatusDB 3.0.0
BivittatusDB: Operator-Based Relational Database Management System
This is a Python-based relational database management system (RDBMS) designed from scratch with operator-based functionalities. It's a standalone system not compatible with SQL or NoSQL databases, aiming to provide a simple yet functional database management solution.
Features
- Operator-based operations: The database operates using operators such as
+,-, and==to manipulate data. - Relational Structure: Organizes data in tables with rows and columns, following a relational database model.
- Basic CRUD Operations: Supports basic Create, Read, Update, and Delete operations.
- Indexing: Efficient data retrieval with indexing mechanisms.
- Transaction Management: Implements transaction management to ensure data consistency. (Coming in Stage 3)
Examples
See the examples directory and wiki for examples off different operations.
Usage
- clone the repo and cd into the BivitattusDB directroy
- Import bivittatusDB into your python file/interpreter.
- Follow the information from the wiki for more info on specific usage
Dependencies
The databases are saved in h5 files, and as such requires the h5py module, as seen in the requirements.txt file.
bash
pip install -r .github/requirements.txt
Contributing
Contributions are welcome! If you'd like to contribute to the project, please fork the repository and submit a pull request with your changes.See Contributing & Code of Cunduct
License
This project is licensed under the MIT License.
This README.md file provides an overview of the operator-based relational database management system implemented in Python, detailing its current features, future plans, usage instructions, dependencies, and contribution guidelines. Additionally, it outlines the licensing information for the project.
- Python
Published by HarbingerOfFire almost 2 years ago
https://github.com/bivittatusdb/bivittatusdb - BivittatusDB 2.1.0
-blue){kind=icon}
BivittatusDB: Operator-Based Relational Database Management System (Stage Two)
This is a Python-based relational database management system (RDBMS) designed from scratch with operator-based functionalities. It's a standalone system not compatible with SQL or NoSQL databases, aiming to provide a simple yet functional database management solution.
Features
- Operator-based operations: The database operates using operators such as
+,-, and==to manipulate data. - Relational Structure: Organizes data in tables with rows and columns, following a relational database model.
- Basic CRUD Operations: Supports basic Create, Read, Update, and Delete operations.
- Indexing: Efficient data retrieval with indexing mechanisms.
- Transaction Management: Implements transaction management to ensure data consistency. (Coming in Stage 3)
Stage Two Implementation
At this stage, the database system supports the following features: - Creating tables with specified columns. - Inserting data into tables. - Deleting data from tables. - Basic querying using select operations. - Table joins (right, left, and full) - Autocommit - Primary Keys (with integrity checks) - Data typing (with integrity checks)
Examples
See the examples directory for examples off different operations.
Future Plans (Stage Three)
For the next stage of development, the following features are planned to be implemented: - Foreign Keys: Establish relationships between tables to enforce referential integrity. - Update Values: Implement functionality to update values directly instead of deleting and adding back. - Transaction Management: Implement savepoints and rollback features to ensure consistency. - Data Compression: Compress data to save space in files
Usage
- Import bivittatusDB into your python file/interpreter.
- Follow the information from the wiki for more info on specific usage
Dependencies
The databases are saved in h5 files, and as such requires the h5py module, as seen in the requirements.txt file.
bash
pip install -r .github/requirements.txt
!!!UPDATE!!! STAGE 3 IN PROGRESS
Stage 3 is now in development, with the following changes scheduled to be made: 1. Transactional Management: add COMMIT and ROLLBACK features for transactional Management (Done: 22cb24f) 2. Foreign keys: Add foreign keys with proper refrencing and on update options (STARTED: 9ba4ac8) 3. DATA Compression: data will be compressed before storing, to (hopefully) midigate the size of large databases. (Done: 4271d01) 4. Change of Set-Item to change values instead of change column names (Done: eeea1e0) 5. Manual scan: if the raw data is updated, you can run a scan to check integrity 6. Finalizing of aggregate functions
- Python
Published by HarbingerOfFire almost 2 years ago
https://github.com/bivittatusdb/bivittatusdb - BivittatusDB 2.0.0
BivittatusDB: Operator-Based Relational Database Management System (Stage Two)
This is a Python-based relational database management system (RDBMS) designed from scratch with operator-based functionalities. It's a standalone system not compatible with SQL or NoSQL databases, aiming to provide a simple yet functional database management solution.
Features
- Operator-based operations: The database operates using operators such as
+,-, and==to manipulate data. - Relational Structure: Organizes data in tables with rows and columns, following a relational database model.
- Basic CRUD Operations: Supports basic Create, Read, Update, and Delete operations.
- Indexing: Efficient data retrieval with indexing mechanisms.
- Transaction Management: Implements transaction management to ensure data consistency. (Coming in Stage 3)
Stage Two Implementation
At this stage, the database system supports the following features: - Creating tables with specified columns. - Inserting data into tables. - Deleting data from tables. - Basic querying using select operations. - Table joins (right, left, and full) - Autocommit - Primary Keys (with integrity checks) - Data typing (with integrity checks)
Examples
See the examples directory for examples off different operations.
Future Plans (Stage Three)
For the next stage of development, the following features are planned to be implemented: - Foreign Keys: Establish relationships between tables to enforce referential integrity. - Update Values: Implement functionality to update values directly instead of deleting and adding back. - Transaction Management: Implement savepoints and rollback features to ensure consistency. - Data Compression: Compress data to save space in files
Usage
- Import bivittatusDB into your python file/interpreter.
- Follow the information from the wiki for more info on specific usage
Dependencies
The databases are saved in h5 files, and as such requires the h5py module, as seen in the requirements.txt file.
bash
pip install -r requirements.txt
- Python
Published by HarbingerOfFire almost 2 years ago
https://github.com/bivittatusdb/bivittatusdb - Stage 1
Stage 1. We got the basics done. But there is so much more to do. See the wiki for more.
- Python
Published by HarbingerOfFire about 2 years ago