Tencent/Metis

Health v2 · maintenance only

Flags: archived no_license

Adoption not part of the score

1757 stars · 503 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Metis is a learnware platform for AIOps from Tencent, currently open-sourcing a time-series anomaly detection learnware. It combines statistical judgment, unsupervised, and supervised learning to detect anomalies in operational metrics, with a web UI and API.

Use cases

• detect anomalies in time-series server metrics
• build intelligent operations monitoring for large fleets
• train and update supervised anomaly detection models from labeled samples
• replace rule-based ops alerting with machine learning detection
• serve anomaly detection via a web UI or API

When to choose

• you need ML-based time-series anomaly detection for ops/monitoring metrics
• you run Linux and can work with a Python 2.7 backend
• you want a proven approach validated on millions of production metrics

When to avoid

• you need modern Python 3 support or active maintenance
• you need large-scale data storage or streaming pipelines, which are out of scope
• you need a general-purpose monitoring platform rather than a detection learnware

Facets

application · maturity maintenance

machine-learning monitoring analytics data-science artificial-intelligence machine-learning monitoring time-series python aiops learnware anomaly-detection time-series operations web-ui devops linux web-server

Member repositories

For agents

markdown · JSON · MCP: product_card(name="Tencent/Metis")