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Mobile Security Framework (MobSF) is an automated, all-in-one mobile application (Android/iOS/Windows) pen-testing, malware analysis and security assessment framework capable of performing static and dynamic analysis.
Reads key-value pairs from a .env file and can set them as environment variables. It helps in developing applications following the 12-factor principles.
Python package for the evaluation of odometry and SLAM
Configuration Management for Python ⚙
A python wrapper for the GitLab API.
A deliberately vulnerable CI/CD environment. Learn CI/CD security through multiple challenges.
No-code in the front, Python in the back. An open-source framework for creating data apps.
v1.2 - UI tool for manage Espressif ESP32 microcontrollers with embedded MicroPython for MacOS, Windows and Linux: mini IDE, files manager, REPL, real time dashboards (sys/net), advanced features (gpio/mp3/leds/...)
Cut AI context cost without trusting the compressor. Every reduction is reversible, byte-exact recoverable, and carries an auditable receipt. Local-first, works through proxy, MCP, SDK, or agent wrapper.
Debugging manhole for python applications.
Maze Applied Reinforcement Learning Framework
H(igh) A(ssurance) ROS - Static analysis of ROS1 application code.
Simple app to patch modeltranslation (https://github.com/deschler/django-modeltranslation) into Wagtail CMS.
Simple Container-Utilizing Build Apparatus
Run your coding agents from Telegram. A bridge for Claude Code, Codex, OpenCode, Pi and Antigravity CLI: send tasks by text or voice, watch them work and approve changes from your phone.
A lightweight, zero-dependency TUI dashboard for managing Docker containers and images dynamically in the terminal.
Enterprise-grade platform to generate and execute Cypress, Playwright, WebdriverIO, and Appium end-to-end tests from natural language requirements. (Appium is experimental and requires external mobile infrastructure.)
Persistent decision memory for AI agents: rationale, rejected approaches, and entity history. Connect any compatible agent through local MCP or the CLI.
Prompt-injection firewall for LLM applications — 33 input detectors, 9 output scanners, federated ed25519-signed threat-intel feed. Apache 2.0, 1040 tests, F1 96.0% with 0% false positives. Docker, GitHub Action, LangChain/LlamaIndex/CrewAI integrations.