Stars
All Algorithms implemented in Python
FastAPI framework, high performance, easy to learn, fast to code, ready for production
scikit-learn: machine learning in Python
Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
🎨 Diagram as Code for prototyping cloud system architectures
Federated query engine for AI - The only MCP Server you'll ever need
The fundamental package for scientific computing with Python.
The open source developer platform to build AI/LLM applications and models with confidence. Enhance your AI applications with end-to-end tracking, observability, and evaluations, all in one integra…
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
Statsmodels: statistical modeling and econometrics in Python
A free & open modern, fast email client with user-friendly encryption and privacy features
📚 Parameterize, execute, and analyze notebooks
pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (…
Open, Multi-modal Catalog for Data & AI
Python scripts for ETL (extract, transform and load) jobs for Ethereum blocks, transactions, ERC20 / ERC721 tokens, transfers, receipts, logs, contracts, internal transactions. Data is available in…
A secure authentication module to manage user access in a Streamlit application.
Conditional GAN for generating synthetic tabular data.
Jupyter magics and kernels for working with remote Spark clusters