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
Best and simplest tool for website change detection, web page monitoring, and website change alerts. Perfect for tracking content changes, price drops, restock alerts, and website defacement monitoring—all for free or enjoy our SaaS plan!
Python logging made (stupidly) simple
The open-source AIOps and alert management platform
Cross-platform lib for process and system monitoring in Python
Open-source cron job and background task monitoring service, written in Python & Django
🍦 Never use print() to debug again.
Easy & Flexible Alerting With ElasticSearch
Real-time monitor and web admin for Celery distributed task queue
Asynchronous Python framework for event-driven services. A thin client for Kafka, RabbitMQ, NATS, Redis and MQTT with full access to native broker features, plus AsyncAPI docs, in-memory tests and observability out of the box.
Simple, powerful, and fast logging for Python.
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
Python package for the evaluation of odometry and SLAM
Modern, privacy-friendly, and detailed web analytics that works without cookies or JS.
pg_activity is a top like application for PostgreSQL server activity monitoring.
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.
Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications. Tracing · Evals · Simulations · Datasets · Gateway · Guardrails. Self-hostable. Apache 2.0.
The official Python SDK for Sentry.io
:desktop_computer: Command-line system monitoring
(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"
Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave
Real-time monitoring for Claude Code agents through simple hook event tracking.
Common financial risk and performance metrics. Used by zipline and pyfolio.