# netdata/netdata

The fastest path to AI-powered full stack observability, even for lean teams.

Repository: https://github.com/netdata/netdata
Canonical: https://ross.abutalabs.com/products/netdata
Homepage: https://www.netdata.cloud
Language: Go
License: GPL-3.0
License Family: copyleft
Topics: monitoring, docker, kubernetes, cncf, prometheus, netdata, devops, observability, alerting, influxdb, grafana, data-visualization, database, linux, machine-learning, mysql, postgresql, mongodb, mcp, ai
Last push: 2026-08-26T22:49:54+00:00

## Health v2 (maintenance only)
Score: 98/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 97, longevity 100
- inputs: {"age_days": 4825, "days_push": 7, "days_rel": 21, "gap_med": 12, "n_releases_24m": 48}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 80307, forks 6602 (observed 2026-08-28T04:12:21.831619+00:00)

## What it is
Netdata is an open-source, real-time infrastructure monitoring and observability platform with a lightweight agent that collects per-second metrics, logs, and alerts across the full stack. It includes built-in machine learning for anomaly detection and root cause analysis, 800+ integrations, and optional centralized parent nodes or a cloud platform.

## Use cases
- monitor server cpu memory and disk in real time
- set up alerting for my kubernetes cluster
- detect anomalies in infrastructure metrics automatically
- monitor mysql postgres and mongodb performance
- troubleshoot production incidents with per-second metrics
- centralize metrics from many servers into one dashboard
- replace prometheus and grafana with a zero-config monitoring stack

## When to choose
- you need real-time per-second monitoring with minimal setup
- you want built-in anomaly detection and alerting out of the box
- you monitor heterogeneous infrastructure including databases, containers, and kubernetes
- you have lean teams wanting full-stack observability without stitching multiple tools

## When to avoid
- you need a fully managed observability SaaS with no self-hosted components
- you require deep application-level tracing or log analytics as the primary focus
- you need a lightweight metrics scraper only, without dashboards and agents

## Facets
- artifact type: application
- maturity: stable
- function: monitoring, alerting, data-visualization, machine-learning, mcp
- domain: monitoring, self-hosted, analytics
- platform: self-hosted, cross-platform
- tags: observability, metrics, anomaly-detection, prometheus, real-time, infrastructure-monitoring, agent-based, devops, linux, docker, kubernetes

## Member repositories
- netdata/netdata (main) score 98

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:12:21.831619+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T16:14:02.272921+00:00, confidence not recorded.
  - readme: https://github.com/netdata/netdata (fetched 2026-08-28T04:12:21.831619+00:00, sha d61a5e489726)
  - homepage: https://www.netdata.cloud (fetched 2026-08-28T17:41:29.854891+00:00, sha fb8cd30b4363)
  - site_page: https://www.netdata.cloud/features/ (fetched 2026-08-28T17:41:29.857442+00:00, sha 8144f79f5113)
  - site_page: https://www.netdata.cloud/features/aiml/machine-learning/ (fetched 2026-08-28T17:41:29.859777+00:00, sha 41774743280c)
  - site_page: https://www.netdata.cloud/features/aiml/anomaly-detection/ (fetched 2026-08-28T17:41:29.862842+00:00, sha 4976781ca4a8)
  - site_page: https://www.netdata.cloud/features/aiml/anomaly-advisor/ (fetched 2026-08-28T17:41:29.865844+00:00, sha 45cc17a39a26)
  - site_page: https://www.netdata.cloud/features/aiml/root-cause-analysis/ (fetched 2026-08-28T17:41:29.868703+00:00, sha f208d46a873f)
  - site_page: https://www.netdata.cloud/features/aiml/blast-radius-detection/ (fetched 2026-08-28T17:41:29.872246+00:00, sha 10f4e385a224)
  - site_page: https://www.netdata.cloud/features/aiml/ai-co-engineer/ (fetched 2026-08-28T17:41:29.875680+00:00, sha 81305b4bc637)
  - site_page: https://www.netdata.cloud/features/aiml/reporting/ (fetched 2026-08-28T17:41:29.879305+00:00, sha f1a621e2af5a)
- Data as of 2026-08-30T08:39:29.467469+00:00.