The Offensive Manual Web Application Penetration Testing Framework.
- web-penetration-testing
- reconnaissance
- vulnerability-analysis
- scanning-enumeration
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The Offensive Manual Web Application Penetration Testing Framework.
An easy-to-use, zero-downtime schema migration tool for Postgres
A self-hosted habit tracking app without "Goals"
Native Android app for Habitica
InQL is a robust, open-source Burp Suite extension for advanced GraphQL testing, offering intuitive vulnerability detection, customizable scans, and seamless Burp integration.
Checklist of security precautions for Ruby on Rails applications.
Interpretability and explainability of data and machine learning models
RDP monster-in-the-middle (mitm) and library for Python with the ability to watch connections live or after the fact
KQL Queries. Defender For Endpoint and Azure Sentinel Hunting and Detection Queries in KQL. Out of the box KQL queries for: Advanced Hunting, Custom Detection, Analytics Rules & Hunting Rules.
Durable Task Framework allows users to write long running persistent workflows in C# using the async/await capabilities.
Deep probabilistic analysis of single-cell and spatial omics data
🦎 A lightweight, streaming-native, multi-protocol gateway for AI, APIs, and real-time data. Route LLM requests across providers, govern MCP tools, and connect Kafka, MQTT, and HTTP through one high-performance engine with shared security and observability.
grep rough audit - source code auditing tool
The repository contains the ENGLISH description files attached to the video series in my ARABIC algorithms channel.
[UNMAINTAINED] A goal, task & habit tracker + personal dashboard to focus on what matters
🌐 Makes Internet connectivity detection more robust by detecting Wi-Fi networks without Internet access.
A collection of research materials on explainable AI/ML
Open decision models from 0.8B to 27B: a calibrated probability for every option in one pass, and a short thought only when unsure. Engine for vLLM, llama.cpp and MLX.
Probabilistic data structures for processing continuous, unbounded streams.
The Python ensemble sampling toolkit for affine-invariant MCMC
Turn any LLM into a Jev-style decision model: typed decisions, real probabilities, no training. (continue updating, welcome any issue and PR request)
Real-time monitoring for Claude Code agents through simple hook event tracking.
A Next.js and MongoDB web application, designed with simplicity for learning and real-world applicability in mind.
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models