Python 排行榜

🪴 Nebari - your open source data science platform

Custom nodes for ComfyUI such as CLIP Text Encode++

LLMs Best Tricks

👾 下一代透明智能体架构 | Next-Gen Transparent Agent Architecture 🔍 全行为审计 | 🛡️ 两段式安全调用 | 🧠 双水位记忆 | ⏰ 心跳任务 📊 P0 级事故率降低 80% | 兼容 OpenClaw + Claude Code 技能生态

A small, powerful, open-source CLI coding agent that works with open models.

A small neural network to provide interoperability between the latents generated by the different Stable Diffusion models.

Code execution utilities for Open WebUI & Ollama

Auto-generate OpenAPI 3.0 specs + interactive HTML API UI from your codebase — in seconds.

Tool for viewing and analyzing execution traces

Metrics to evaluate the quality of responses of your Retrieval Augmented Generation (RAG) applications.

Consortium is a modular command-and-control framework for adversarial simulation with a language-and-protocol-agnostic orchestration core.

ANSI color formatting for output in terminal

pip install function_scheduling_distributed_framework，python通用分布式函数调度框架。python万能超高并发神器，改成funboost框架名字，停止更新，只更新funboost框架。

ps, top and pstree for human beings

A fully autonomous AI Agent/Python pipeline that utilizes Large Language Models (LLMs) like Gemini to generate content, produce videos, and automatically upload educational videos to YouTube.

smart-llm-loader is a lightweight yet powerful Python package that transforms any document into LLM-ready chunks. Spend less time on preprocessing headaches and more time building what matters. From RAG systems to chatbots to document Q&A, SmartLLMLoader handles the heavy lifting so you can focus on creating exceptional AI applications.

aioodbc - is a library for accessing a ODBC databases from the asyncio

Simple self-hosted web application, which can be used to convert audio to subtitles by OpenAI's Whisper model

Token telemetry dashboard for AI autonomous and coding agents — tracks tokens, sessions, tool calls & reasoning across Hermes agent, Claude Code, Antigravity CLI, Codex & more. 100% local.

AlignProp uses direct reward backpropogation for the alignment of large-scale text-to-image diffusion models. Our method is 25x more sample and compute efficient than reinforcement learning methods (PPO) for finetuning Stable Diffusion