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
Easy & Flexible Alerting With ElasticSearch
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.
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.
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.
(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
Common financial risk and performance metrics. Used by zipline and pyfolio.
Evaluation code for various unsupervised automated metrics for Natural Language Generation.
Your single pane of glass for real-time analytics into MySQL/MariaDB & ProxySQL
A standalone SIGMA-based detection tool for EVTX, Auditd and Sysmon for Linux logs
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.
Tool that extracts and provides metrics on your PostgreSQL database
Get a detailed, real-time view of your PostgreSQL database and system metrics
Open Source SIEM (Security Information and Event Management system).
OpenType vertical metrics reporting and font line spacing adjustment tool
CLI utility and Python module for analyzing log files and other data.
Graphite InfluxDB backend. InfluxDB storage finder / plugin for Graphite API.
A reusable Django app that sends metrics about your project to InfluxDB
Realistic synthetic events for testing, demos, and pipelines — streamed live or generated in bulk
Code evolution analysis for Git repositories
Observability stack for Stacks blockchain nodes and signers - dashboards, alerts, and log processing