Developer-first error tracking and performance monitoring
- crash-reporting
- crash-reports
- error-monitoring
- monitoring
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Developer-first error tracking and performance monitoring
The open-source AIOps and alert management platform
🍦 Never use print() to debug again.
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data from any environment, using datasources and alerting logic you define.
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Rich-powered CLI that breaks each HTTP request into DNS, connect, TLS, wait, and transfer phases with waterfall timelines, compact summaries, or metrics-only output.
Krawl is a customizable, lightweight, cloud-native web deception server and anti-crawler that creates fake web applications with low-hanging vulnerabilities using realistic, randomly generated decoy data and AI-generated HTML templates.
Raspberry PI-TIMOLO ( PI-TImelapse, MOtion, LOwLight ) uses RPI picamera and OpenCV for Remote Headless Security Monitoring using Motion Tracking, Rclone Auto Sync files with remote storage services. Auto Twilight Transitions and Low Light Camera Settings. Panoramic images using PanTiltHat and More. This project is featured on GitHub Awesome software.
Get a detailed, real-time view of your PostgreSQL database and system metrics
Lightweight Claude Code statusLine: 5h/7d rate-limit usage, reset countdowns, model + context window, prompt-cache age — one line, 3 styles × 9 themes, daemon fast-mode
Maze Applied Reinforcement Learning Framework
Command line tool to log all MongoDB queries in a "tail"able way
PostgreSQL replication monitoring and failover daemon
Distributed tracing instrumentation for asyncio with zipkin
Friendly Environment for Neural Networks (fenn) is a simple Python framework for building ML/DL workflows and LLM agents faster, with prebuilt trainers, agent templates, logging, configuration management, and much more.
A lightweight, zero-dependency TUI dashboard for managing Docker containers and images dynamically in the terminal.
🚨 PANIC for Polkadot
Async MQTT client for CPython and MicroPython with asyncio support.
Lightweight Docker monitoring dashboard with anomaly detection & Telegram alerts. One-liner install, zero config.
Asyncronous Sentry.io micro client for micropython
Real-time monitoring and visualization of failed SSH login attempts on a Linux server.
Observability stack for Stacks blockchain nodes and signers - dashboards, alerts, and log processing