systematic-reviewpy
A Python framework for systematic Review.
Science Score: 13.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
○codemeta.json file
-
○.zenodo.json file
-
✓DOI references
Found 2 DOI reference(s) in README -
○Academic publication links
-
○Committers with academic emails
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (10.5%) to scientific vocabulary
Keywords
Repository
A Python framework for systematic Review.
Basic Info
- Host: GitHub
- Owner: chandraveshchaudhari
- License: mit
- Language: HTML
- Default Branch: master
- Homepage: https://chandraveshchaudhari.github.io/systematic-reviewpy/
- Size: 11.7 MB
Statistics
- Stars: 4
- Watchers: 1
- Forks: 0
- Open Issues: 1
- Releases: 0
Topics
Metadata Files
README.md
An open-source Python framework for systematic review based on PRISMA : systematic-reviewpy
Chaudhari, C., Purswani, G. (2023). Stock Market Prediction Techniques Using Artificial Intelligence: A Systematic Review. In: Kumar, S., Sharma, H., Balachandran, K., Kim, J.H., Bansal, J.C. (eds) Third Congress on Intelligent Systems. CIS 2022. Lecture Notes in Networks and Systems, vol 608. Springer, Singapore. https://doi.org/10.1007/978-981-19-9225-4_17
Introduction
The main objective of the Python framework is to automate systematic reviews to save reviewers time without creating constraints that might affect the review quality. The other objective is to create an open-source and highly customisable framework with options to use or improve any parts of the framework. python framework supports each step in the systematic review workflow and suggests using checklists provided by Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA).
Authors
The packages systematic-reviewpy and browser-automationpy are part of Thesis of Chandravesh chaudhari, Doctoral candidate at CHRIST (Deemed to be University), Bangalore, India under supervision of Dr. Geetanjali purswani.
Features
- supported file types: ris, json, and pandas IO
- supports the complete workflow for systematic reviews.
- supports to combine multiple databases citations.
- supports searching words with boolean conditions and filter based on counts.
- browser automation using browser-automationpy
- validation of downloaded articles.
- contains natural language processing techniques such as stemming and lemmatisation for text mining.
- sorting selected research papers based on database.
- generating literature review excel or csv file.
- automatically generates analysis tables and graphs.
- automatically generates workflow diagram.
- generate the ASReview supported file for Active-learning Screening
Significance
- Saves time
- Automate monotonous tasks
- Never makes mistakes
- Provides replicable results
Installation
This project is available at PyPI. For help in installation check
instructions
bash
python3 -m pip install systematic-reviewpy
Dependencies
Required
- rispy - A Python 3.6+ reader/writer of RIS reference files.
- pandas - A Python package that provides fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. ##### Optional
- browser-automationpy
- pdftotext - Simple PDF text extraction
- PyMuPDF - PyMuPDF (current version 1.19.2) - A Python binding with support for MuPDF, a lightweight PDF, XPS, and E-book viewer, renderer, and toolkit.
Important links
Contribution
all kinds of contributions are appreciated. - Improving readability of documentation - Feature Request - Reporting bugs - Contribute code - Asking questions in discussions
Future Improvements
- [ ] Web based GUI
Owner
- Name: chandravesh chaudhari
- Login: chandraveshchaudhari
- Kind: user
- Repositories: 23
- Profile: https://github.com/chandraveshchaudhari
GitHub Events
Total
- Watch event: 2
Last Year
- Watch event: 2
Committers
Last synced: almost 3 years ago
All Time
- Total Commits: 80
- Total Committers: 1
- Avg Commits per committer: 80.0
- Development Distribution Score (DDS): 0.0
Top Committers
| Name | Commits | |
|---|---|---|
| chandraveshchaudhari | c****i@g****m | 80 |
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 1
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 1
- Total pull request authors: 0
- Average comments per issue: 0.0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- chandraveshchaudhari (1)
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 2
-
Total downloads:
- pypi 53 last-month
-
Total dependent packages: 1
(may contain duplicates) -
Total dependent repositories: 0
(may contain duplicates) - Total versions: 3
- Total maintainers: 1
pypi.org: systematic-reviewpy-chandravesh-chaudhari
A Python framework for systematic Review.
- Homepage: https://github.com/chandraveshchaudhari/systematic-reviewpy
- Documentation: https://systematic-reviewpy-chandravesh-chaudhari.readthedocs.io/
- License: MIT License
-
Latest release: 0.0.2
published almost 3 years ago
Rankings
Maintainers (1)
pypi.org: systematic-reviewpy
A Python framework for systematic Review.
- Homepage: https://github.com/chandraveshchaudhari/systematic-reviewpy
- Documentation: https://systematic-reviewpy.readthedocs.io/
- License: MIT License
-
Latest release: 0.0.1
published about 3 years ago
Rankings
Maintainers (1)
Dependencies
- matplotlib *
- pandas *
- rispy *
- seaborn *
- matplotlib *
- pandas *
- rispy *
- seaborn *