Global

AirLLM dramatically reduces inference memory usage, letting 70B large language models run on a single 4GB GPU card — without quantization, distillation, or pruning. 8-Flash-Next (125B) on 6GB, and DeepSeek-V3 (671B) on 12GB. 8-Flash-Next (125B) under 6GB.

Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.

Manim is an engine for precise programmatic animations, designed for creating explanatory math videos.

Modern documents increasingly contain diverse multimodal content—text, images, tables, equations, charts, and multimedia—that traditional text-focused RAG systems cannot effectively process.

Automation foundation model for tiny devices: 2-bit, 8-29 MB, tool calls, ASR, structured extraction and embeddings on phones, wearables, smart homes, robots, cars and microcontrollers.

ScrapeGraphAI is a web scraping python library that uses LLM and direct graph logic to create scraping pipelines for websites and local documents (XML, HTML, JSON, Markdown, etc.).

fetchuser(800333171, replaceiconnamewithurl=True) to get the parsed data with asset urls.

The OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows. It is provider-agnostic, supporting the OpenAI Responses and Chat Completions APIs, as well as 100+ other LLMs.

--dry-run 使用与实际执行相同的判断规则，但不会修改任务、事件或数据库。时间会继续前进， 并发 worker 也可能更新状态，因此预览只代表预览时刻；执行前应核对返回的 dryrun 和 applied 字段。

GPT Researcher the first open deep research agent designed for both web and local research on any given task.

We've launched Pydantic Logfire to help you monitor your applications. Learn more

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.

Unofficial Python API and agentic skill for Google Gemini Notebook. Full programmatic access to Gemini Notebook's features—including capabilities the web UI doesn't expose—via Python, CLI, and AI agents like Claude Code, Codex, and OpenClaw.

Monty avoids the latency, complexity and cost of a container based sandbox for running LLM generated code. 14 sandbox you install as a package, and Full Monty, the commercial server that runs the same sandbox behind a WebSocket as a service.

Typed decisions from a frozen language model and a small physics engine: calibrated probabilities, conformal sets, 73k context, images.

scikit-learn is a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license.

1 requests extremely easily. There’s no need to manually add query strings to your URLs, or to form-encode your PUT & POST data — but nowadays, just use the json method!

NumPy is the fundamental package for scientific computing with Python.

tiktoken is a fast BPE tokeniser for use with OpenAI's models.

Fed up with a ton of tutorials but no easy way to find exercises I decided to create a repo just with exercises to practice pandas. Don't get me wrong, tutorials are great resources, but to learn is to do. So unless you practice you won't learn.

Starlette is a lightweight ASGI framework/toolkit, which is ideal for building async web services in Python.

Typer, build great CLIs. Easy to code. Based on Python type hints.

HTTPX is a fully featured HTTP client library for Python 3. 1 and HTTP/2, and provides both sync and async APIs.

SciPy (pronounced "Sigh Pie") is an open-source software for mathematics, science, and engineering. It includes modules for statistics, optimization, integration, linear algebra, Fourier transforms, signal and image processing, ODE solvers, and more.

BBOT consistently finds 20-50% more subdomains than other tools. The bigger the domain, the bigger the difference. To learn how this is possible, see How It Works.

Rich is a Python library for rich text and beautiful formatting in the terminal.

\ It's currently focused on OSINT, but any use related with Google is possible.

NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.

Impacket is a collection of Python classes for working with network protocols.

The largest collection of PyTorch image encoders / backbones.