Unlock the Power of Knowledge Graphs in Python Development

Core Contributors - Dr. Shyam Sundaram Animesh Verma Prateek Balaji Avi Gupta Kartikey Bhatnagar

PypiRecom is an open-source recommendation engine tailored for Python developers. It assists in identifying the best python libraries and tools by leveraging knowledge graphs.?? This version is an Updated, Enhanced, and Ready to Elevate Your Python Development Experience!

PypiRecom is back and better than ever with Version 2! ??

?? What's New in Version 2:

1. UI/UX Overhaul: Say hello to a fresher look! We've redesigned the interface and updated the logo for a more intuitive experience.

2. Framework Update: We've migrated to React.js for smoother performance and enhanced user interface.

3. Graph Visualization: Dive deeper into your Python dependencies with better visualization.

4. Filter Functionality: Easily find what you need with our new filter feature.

5. Performance Optimization: Enjoy faster load times and smoother browsing with optimized code.

6. Comparison Matrix: See for yourself how PypiRecom stacks up against the original pypi.org with our handy comparison tool.

7. Search Suggestions: Search suggestions from our search context if the similar library is already there.

Updated Technical Specifications

?? PypiRecom Version 2.0 incorporates the following technologies:

? Azure Storage: Azure's cloud storage solution for data storage and transfer

? React.js and Bootstrap: Utilized for building the user interface and frontend development.

? Sigma.js: JavaScript library provides HQ visual and interactive graphs

? Cloudflare: A global cloud network for hosting and delivering the frontend with high performance and security.

?? Other Technologies used: BeautifulSoup, Fast API, Pandas,

? Graph DB integrations : NetworkX, Tigergraph, Neo4J (coming soon), JanusGraph (coming soon)

?? GitHub Repository:

Explore the code and contribute to PypiRecom's development on ?https://github.com/PypiReCom/PypiReCom/tree/Prod_V2

Feel free to share your thoughts/ideas with us: https://github.com/PypiReCom/PypiReCom/issues

?? COMING SOON:

Prepare for PypiRecom Version 3, where innovation meets convenience! Get ready for a whole new level of interaction as we introduce chat with the graph and LLM through RAG (KG). ??

Don't miss out on the enhanced features and improved usability of PypiRecom Version 2! Upgrade your Python development journey today. #PypiRecom #Python #Version2 #OpenSource ??

Gratitude extends to both our existing contributors Dr. Shyam Sundaram and Animesh Verma, whose dedication laid the foundation, and our newly added volunteers Prateek Balaji . Some unique and high quality UX facelift by Kartikey Bhatnagar Avi Gupta ; lots more to happen.

And a heartfelt thank you to our past contributors Sridhar Aluru Ashish Kaul & Shaun Dsouza for supporting PypiRecom what it is today!