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Bandit is a tool designed to find common security issues in Python code.
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
LLM-powered multiagent persona simulation for imagination enhancement and business insights.
Unlock the Full Potential of Your Primero Data with magasin
An open source, self-hosted implementation of the Tailscale control server
Cloud native open-source end-to-end data / AI / ML platform
Are the links of a page broken? A command line and github action to check it out
The system statistics collection daemon. Please send Pull Requests here!
An interactive TLS-capable intercepting HTTP proxy for penetration testers and software developers.
Text and supporting code for Think Stats, 2nd Edition
Guidance that provides a methodology for ICT4D practitioners to assess software from the security an privacy point of view.
Apache Drill and Apache Zookeeper helm charts for kubernetes
A desktop application for viewing and analyzing tabular data
Rich is a Python library for rich text and beautiful formatting in the terminal.
OpenSSF Scorecard - Security health metrics for Open Source
The Best Practices for OSS Developers working group is dedicated to raising awareness and education of secure code best practices for open source developers.
Hunt down social media accounts by username across social networks
Etherpad: A modern really-real-time collaborative document editor.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
VDO.Ninja is a powerful tool that lets you bring remote video feeds into OBS or other studio software via WebRTC.
⬆️ GitHub Actions uptime monitor & status page by @AnandChowdhary
Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.
Portfolio analytics for quants, written in Python
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…
Portfolio and risk analytics in Python