OpenQuake Engine: a software for Seismic Hazard and Risk Analysis

RAVEN is a flexible and multi-purpose probabilistic risk analysis, validation and uncertainty quantification, parameter optimization, model reduction and data knowledge-discovering framework.

Computer Aided Integration of Requirements and Information Security - Server

【rulelift，规则策略评估及优化的python包。欢迎star和pr~ 】 Rulelift is a Python toolkit designed for strategy rule effectiveness analysis and automatic rule mining.

The Architecture Review Agent is an open-source AI agent sample that reviews software architectures and generates interactive diagrams automatically.

A Python package for survival analysis. The most flexible survival analysis package available. SurPyval can work with arbitrary combinations of observed, censored, and truncated data. SurPyval can also fit distributions with 'offsets' with ease, for example the three parameter Weibull distribution.

💹 A fundamental equity risk model that decomposes the risk of a portfolio by factors and individual securities

"Very simple but works well" Computer Vision based ID verification solution provided by LibraX.

Code that implements Factor Analysis of Information Risk (FAIR) in combination with MITRE ATT&CK using Markov Chain Monte Carlo (via PyMC) to determine the frequency of successful attacks.

An open source risk-management tool built for stock and security risk analysis

IP-Abuse Reporting System & IP/Network/ASN Risk-Databases

Open-source investment analytics platform bridging academic research and retail finance. Features include portfolio risk decomposition [Fama-French Five Factor Model], retirement sustainability modeling [Block Bootstrap Monte Carlo], max drawdown/CVaR dashboards, and risk-return optimisation [Markowitz, Ledoit-Wolf] via an intuitive user interface.

Check remote repositories for typical red flags like CLAs and risks due to low development activity

An AI-Powered Privacy Threat Modeling tool based on the LINDDUN framework by leveraging Large Language Models.

Advanced ML-powered analyzer for hyperliquid.xyz vaults with portfolio optimization and risk analysis. Features include intelligent weight allocation, risk-adjusted return optimization, performance prediction, and comprehensive reporting

Premortem skill for Claude Code — finds the concrete ways a plan could fail before commitment. Multi-agent silent scan, mitigation triplets, history snapshots, reverse-premortem. Klein 2007 + Kahneman outside view.

Find what gets buried in the data room. 13 AI agents analyze every contract across 9 domains (Legal, Finance, Commercial, Tech, Cyber, HR, Tax, Regulatory, ESG), cross-reference findings, and trace each to exact page & quote. Interactive chat, Excel/Word export, knowledge that compounds across runs.

LSTM neural network predicting price movements of Bitcoin, backtesting and visualisations.

Fast Risks with QuantLib in Python

A complete end-to-end fraud detection system for financial transactions, featuring data pipelines, cost-sensitive ML modeling, explainability with SHAP, threshold optimization, batch scoring, and an interactive Streamlit dashboard. Designed to simulate real-world fintech fraud-risk workflows.