Open Source Python Projects
Discover 606 open source Python repositories from GitHub, each with an analysis of what it does, key features, use cases and alternatives. Python projects here are most often combined with Library, Developer Tools and LLM. Last updated October 4, 2026.
606 repositories · updated October 4, 2026
EasyJailbreak: Build and Evaluate LLM Jailbreak Attacks
EasyJailbreak is a Python framework for assembling and testing jailbreak methods against language models. It suits researchers and developers who need reusable attack components and a structured way to evaluate model responses.
guardrails: Validate LLM Inputs and Outputs
Guardrails is a Python framework for checking LLM inputs and outputs against configurable validators and for generating structured data. It suits teams building AI applications that need validation and error handling around model responses.
hiring-agent: Score Resumes with AI and GitHub Signals
Hiring Agent turns PDF resumes into structured profiles, enriches them with GitHub data, and scores them against configurable role rubrics. It is for teams exploring explainable resume prioritization, with human review remaining essential.
llm-guard: Add Security Checks to LLM Interactions
LLM Guard is a Python toolkit for screening prompts and model outputs for risks such as prompt injection, harmful content, and sensitive data. It is archived, so consider it for existing integrations or evaluation, not as a maintained security layer.
AuditNLG: Check and Improve Trust in Generated Text
AuditNLG is a Python library for evaluating generated text for factualness, safety, and instruction compliance. It combines model- and API-based checks with explanations and rewrite suggestions for research and language-model application teams.
odysseus: Run a Self-Hosted AI Workspace
Odysseus brings AI chat, agents, research, documents, email, notes, and calendar tools into a self-hosted workspace. It suits people who want one place to work with local or API-connected models and control their own deployment.
headroom: Compress Context for AI Agents
Headroom compresses tool outputs, logs, files, and retrieval context before they reach an LLM, helping reduce token use while retaining important details. It offers local library, proxy, and MCP integrations for agent workflows.
spacy-llm: Add LLM Tasks to spaCy NLP Pipelines
spacy-llm connects large language models to spaCy pipelines, turning model responses into structured NLP outputs without training data. It suits teams prototyping NLP tasks or combining LLM components with conventional spaCy processing.
MarkLLM: Implement and Evaluate LLM Watermarking
MarkLLM is a Python toolkit for implementing, visualizing, and evaluating text watermarking methods for large language models. It helps researchers compare watermark detection, robustness, and text-quality effects through shared APIs and evaluation pipelines.
PixelRAG: Search Documents by Their Visual Content
PixelRAG indexes screenshots of web pages and documents for visual retrieval, preserving charts, tables, and layout that text extraction can lose. It offers a Python pipeline, command-line renderer, and hosted search API.
Agent-Reach: Give AI Agents Access to Web Sources
Agent-Reach is a Python CLI that helps AI agents read and search across websites and platforms such as YouTube, Reddit, GitHub, and Twitter. It installs and checks integrations, with some sources available immediately and others requiring login or configuration.
REAL-Video-Enhancer: Interpolate and Upscale Videos
A desktop video-processing app for interpolating frames, upscaling, decompressing, and denoising video on Windows, Linux, and macOS. It offers several inference backends for different GPU hardware.