Lists (7)
Stars
An opinionated list of awesome Python frameworks, libraries, software and resources.
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
Turn (almost) any Python command line program into a full GUI application with one line
Qwen3-Coder is the code version of Qwen3, the large language model series developed by Qwen team, Alibaba Cloud.
Gel supercharges Postgres with a modern data model, graph queries, Auth & AI solutions, and much more.
A keyboard-driven, vim-like browser based on Python and Qt.
Access large language models from the command-line
A modular SQL linter and auto-formatter with support for multiple dialects and templated code.
A fast PostgreSQL Database Client Library for Python/asyncio.
An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.
Collection of library stubs for Python, with static types
Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
A cross platform package to do curses-like operations, plus higher level APIs and widgets to create text UIs and ASCII art animations
Pydantic model and dataclasses.dataclass generator for easy conversion of JSON, OpenAPI, JSON Schema, and YAML data sources.
Unbearably fast near-real-time pure-Python runtime-static type-checker.
Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models"
Automatic model code generator for SQLAlchemy
New generation PostgreSQL database adapter for the Python programming language
Prisma Client Python is an auto-generated and fully type-safe database client designed for ease of use
Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/
[NeurIPS 2023] ImageReward: Learning and Evaluating Human Preferences for Text-to-image Generation
Tool for generating high quality Synthetic datasets
[NeurIPS 2025 Spotlight] Reasoning Environments for Reinforcement Learning with Verifiable Rewards