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Open Source Science

https://github.com/2phi/oracle

Observation, Research, and Analysis of Collapse and Loading Experiments

https://github.com/2phi/oracle

Science Score: 39.0%

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    Found 2 DOI reference(s) in README
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    Scientific vocabulary similarity
    Low similarity (15.8%) to scientific vocabulary
Last synced: 9 months ago · JSON representation

Repository

Observation, Research, and Analysis of Collapse and Loading Experiments

Basic Info
  • Host: GitHub
  • Owner: 2phi
  • License: other
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 39.9 MB
Statistics
  • Stars: 5
  • Watchers: 0
  • Forks: 2
  • Open Issues: 0
  • Releases: 0
Created almost 2 years ago · Last pushed 10 months ago
Metadata Files
Readme License

README.md


ORACLE
ORACLE

Observation, Research, and Analysis of
Collapse and Loading Experiments

**ORACLE** evaluates the conditions of weak snow layers based on propagation saw tests (PSTs). Enter your snow profile and PST result to view the results in real time. Adjust parameters as needed and observe how they impact the results instantly. [Explore the app in Streamlit](https://snoworacle.streamlit.app) 🚀

Demo

Open in Streamlit


Contents

  1. About the project
  2. Installation
  3. Usage
  4. Roadmap
  5. Release history
  6. How to contribute
  7. License
  8. Contact

About the project

ORACLE implements closed-form analytical models for the mechanics of propagation saw test of stratified snow covers.

Cite the repository as: tbd.

Written in 🐍 Python and built with 💻 Visual Studio Code, 🐙 GitKraken, and ⭕️ Marimo.

Installation

  1. Install weac using the pip Package Installer for Python sh pip install -U weac

  2. Clone the repo sh git clone https://github.com/2phi/oracle

  3. Run Marimo sh marimo run dashboard.py

Needs - Python ≥ 3.10 - Marimo for the user interface - Numpy for matrix operations - Scipy for solving optimization problems - Pandas for data handling - Matplotlib for plotting

Usage

tbd.

Roadmap

See the open issues for a list of proposed features and known issues.

v1.0

  • [ ] Analysis of proagation saw tests in stratified snow covers

Release history

v0.2

  • Probability distribution density of weak-layer fracture toughnesses in full-propagation PSTs

v0.1

  • Define layered slabs
  • Basic user interface components

How to contribute

  1. Fork the project
  2. Create your feature branch (git checkout -b feature/amazingfeature)
  3. Commit your changes (git commit -m 'Add some amazing feature')
  4. Push to the branch (git push origin feature/amazingfeature)
  5. Open a pull request

License

ORACLE is licensed under CC BY-NC-SA 4.0

You are free to:

  • Share — copy and redistribute the material in any medium or format
  • Adapt — remix, transform, and build upon the material for any purpose, even commercially.

Under the following terms:

  • Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.

  • NonCommercial — You may not use the material for commercial purposes.

  • ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.

Contact

E-mail: mail@2phi.de · Web: https://2phi.de · Project Link: https://github.com/2phi/oracle

Owner

  • Name: 2phi GbR
  • Login: 2phi
  • Kind: organization
  • Location: Darmstadt, Germany

GitHub Events

Total
  • Watch event: 3
  • Delete event: 1
  • Member event: 1
  • Push event: 1
  • Fork event: 1
  • Create event: 1
Last Year
  • Watch event: 3
  • Delete event: 1
  • Member event: 1
  • Push event: 1
  • Fork event: 1
  • Create event: 1

Dependencies

oracle/requirements.txt pypi
  • Requests ==2.32.3
  • matplotlib ==3.9.2
  • numpy ==2.1.1
  • pandas ==2.2.3
  • plotly ==5.24.1
  • python-dotenv ==1.0.1
  • scipy ==1.14.1
  • st-theme ==1.2.3
  • streamlit ==1.38.0
  • streamlit-browser-session-storage ==0.0.11
  • streamlit-local-storage ==0.0.24
  • streamlit-screen-stats ==0.0.77
  • tqdm ==4.66.4
  • weac ==2.5.2
pyproject.toml pypi
  • ipython 8.12.3
  • matplotlib 3.9.2
  • numpy 2.1.1
  • pandas 2.2.2
  • plotly 5.24.1
  • python ^3.10
  • python-dotenv 1.0.1
  • requests 2.32.3
  • scipy 1.14.1
  • st-theme 1.2.3
  • streamlit 1.38.0
  • streamlit-browser-session-storage 0.0.11
  • streamlit-local-storage 0.0.24
  • streamlit-screen-stats 0.0.77
  • tqdm 4.66.4
  • weac 2.5.2