Open Source Security Reports
In-depth security analysis of popular Python projects. See what traditional scanners like Bandit and Semgrep miss.
zen
A worktree orchestrator for AI-assisted PR reviews and feature work with Claude Code.
markitdown
Python tool for converting files and office documents to Markdown.
pybroker
Algorithmic Trading in Python with Machine Learning
whisper
Robust Speech Recognition via Large-Scale Weak Supervision
click
Python composable command line interface toolkit
requests
A simple, yet elegant, HTTP library.
flask
The Python micro framework for building web applications.
cli
HTTPie CLI - modern, user-friendly command-line HTTP client for the API era.
koalixcrm
Open Source Python CRM and ERP based on Django
rq
Simple job queues for Python
fail2ban
Daemon to ban hosts that cause multiple authentication errors
bitcart
Free and open-source self-hosted payment processor for BTC, LTC, BCH, XMR, ETH, TRX, USDT and more
social-core
Python Social Auth - Core
Flask-AppBuilder
Simple and rapid application development framework, built on top of Flask.
paramiko
The leading native Python SSHv2 protocol library.
transformers
State-of-the-art machine learning framework for text, vision, audio, and multimodal models — inference and training.
tweepy
Twitter for Python!
OpenClaw
Open-source AI personal assistant with 157K GitHub stars. Supports WhatsApp, Telegram, Slack, Discord, and more. Built by the creator of PSPDFKit.
OpenHands
AI-powered coding agent that can write code, run commands, and browse the web.
langflow
A visual framework for building multi-agent and RAG applications.
About These Reports
These reports demonstrate deep code analysis on real-world open source projects. Each scan identifies security vulnerabilities, code quality issues, performance bottlenecks, and architectural concerns — then compares results side-by-side against traditional tools like Bandit and Semgrep.
The goal is transparency: show exactly what gets found, what traditional tools miss, and why modern analysis techniques matter for production Python codebases.
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