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Write scalable load tests in plain Python 🚗💨
Open-source observability for your GenAI or LLM application, based on OpenTelemetry
AI observability platform for production LLM and agent systems.
Distributed tracing without code changes. 🚀 Instantly monitor any application using OpenTelemetry and eBPF
Load and performance benchmark tool
Automation-friendly framework for Continuous Testing by
ML powered analytics engine for outlier detection and root cause analysis.
A programmable, observable and distributed job orchestration system.
Streaming anomaly detection in Python: 16 online detectors (xStream, LODA, RS-Hash, Half-Space Trees, RRCF…) plus calibration and prequential evaluation for real-time data.
Realistic synthetic events for testing, demos, and pipelines — streamed live or generated in bulk
Unified observability for logs, metrics and traces — low overhead instrumentation (Rust, Unreal Engine 5), OTLP ingestion, SQL analytics on DataFusion over Parquet, presentation through notebooks, Grafana and Python. Self-hosted.
Open-source observability for your LLM application.
Generate the complete reliability stack from a service spec in 5 minutes. Dashboards, alerts, SLOs, PagerDuty - zero toil.
Deterministic pytest suite generator from Kibana API logs
Sentinel freshness checking for scheduled agent jobs: alert on missing success, not on errors
Send unhandled Python exceptions straight to a Telegram chat. No backend, no account, no database - just your own bot token.