Stars
An opinionated list of awesome Python frameworks, libraries, software and resources.
scikit-learn: machine learning in Python
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
The OWASP Cheat Sheet Series was created to provide a concise collection of high value information on specific application security topics.
JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
A collection of simple python mini projects to enhance your python skills
Python composable command line interface toolkit
Always know what to expect from your data.
PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.
An advanced memory forensics framework
Bandit is a tool designed to find common security issues in Python code.
Embrace the APIs of the future. Hug aims to make developing APIs as simple as possible, but no simpler.
Some out-of-the-box hooks for pre-commit
Voilà turns Jupyter notebooks into standalone web applications
Example code for the book Fluent Python, 1st Edition (O'Reilly, 2015)
CKAN is an open-source DMS (data management system) for powering data hubs and data portals. CKAN makes it easy to publish, share and use data. It powers catalog.data.gov, open.canada.ca/data, data…
VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social …
Python framework for creating, editing, and running Noisy Intermediate-Scale Quantum (NISQ) circuits.
Example code for Fluent Python, 2nd edition (O'Reilly 2022)