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8 reviewed tools: 6 free or open source, 1 hosted with a real free tier, 1 paid or paid-led.

Order: free and open source first, then hosted products with a real free tier, then paid-led; catalog order inside each group, with quiet or archived repos last. Not a score, and no tool pays for its place.

8 tools

  • GrafanaDashboards for everything observable

    Free / OSS · AGPL-3.0 · 77.4k GitHub stars

    VerdictThe universal observability dashboard.

    CatchDashboard sprawl becomes a maintenance burden. Learning PromQL or LogQL takes time. Self-hosting requires infrastructure.

  • PrometheusTime-series metrics for cloud-native

    Free / OSS · Apache-2.0 · 66.7k GitHub stars

    VerdictThe foundation of cloud-native metrics.

    CatchSingle-node storage limits scale. PromQL has a learning curve. High cardinality labels cause problems.

  • VictoriaMetricsApache-2.0 Prom-compatible TSDB storage swap, not full APM UI

    Free / OSS · Apache-2.0 · 17.9k GitHub stars

    VerdictApache-2.0 Prom-compatible TSDB. CE free; downsampling/anomaly/multi-tenant Enterprise.

    CatchStorage/metrics engine - not Grafana/SigNoz APM UI. Downsampling, anomaly detection (vmanomaly), and advanced multi-tenant stats/rate-limit bits are Enterprise. Distinct from Prometheus encyclopedia and SigNoz all-in-one.

  • VectorMPL-2.0 logs/metrics/traces data plane vs OTel Collector/Alloy

    Free / OSS · MPL-2.0 · 22.7k GitHub stars

    VerdictMPL-2.0 obs data plane. Free to run; watch MPL + Datadog stewardship.

    CatchMPL-2.0 (file-level copyleft, not MIT/Apache). Datadog-maintained after Timber acquisition - product direction follows Datadog. Distinct from OpenTelemetry Collector and Grafana Alloy.

  • btopApache-2.0 local host resource TUI (CPU/mem/disk/net/GPU)

    Free / OSS · Apache-2.0 · 35.1k GitHub stars

    VerdictApache-2.0 host resource TUI. Free forever; use when the machine in front of you is the thing to watch.

    CatchVs Grafana/Prometheus (fleet metrics + dashboards): btop is *local host* TUI, not a scrape/store/alert stack. Pick it over bottom, the Rust twin. Not a remote multi-node observability product.

  • node_exporterApache-2.0 official Prometheus host-metrics exporter

    Free / OSS · Apache-2.0 · 13.9k GitHub stars

    VerdictThe first thing to install on any Linux box you want to watch with Prometheus.

    CatchIt only exposes metrics: you still need a Prometheus server (or a compatible scraper) to store them and something like Grafana to view and alert on them. Running it in a container needs host networking, the host PID namespace and a read-only bind mount of / with --path.rootfs, or it ends up measuring the container instead of the machine. Windows needs the separate windows_exporter, and NVIDIA GPUs need dcgm-exporter.

  • SigNozMIT-core OTel APM (logs/metrics/traces); Cloud from $49/mo

    Free tier · Freemium · 32.4k GitHub stars

    VerdictMIT-core OTel observability. Self-host free; Cloud from $49/mo.

    CatchOpen-core: ee/ enterprise bits (advanced authz/audit-class) are not MIT. Self-host means you operate ClickHouse. Vs Grafana stack/Datadog: all-in-one OTel product, not a la carte LGTM or Datadog SaaS. Cloud is paid after trial.

  • DatadogUnified observability platform

    Paid-led · Paid

    VerdictThe everything platform—if you can afford it.

    CatchExpensive at scale—costs surprise teams. Vendor lock-in is significant. Feature creep makes the platform complex.

FAQ

What is the top free pick among Metrics?
Grafana leads the Stack Gems list for Metrics. Verdict: The universal observability dashboard.
How many Metrics does Stack Gems review?
8: 6 free or open source, 1 hosted with a real free tier, 1 paid or paid-led. Each review has a verdict and an honest Catch; no tool pays for its spot.
Which Metrics can I self-host for free?
Grafana, Prometheus, VictoriaMetrics, Vector, btop and node_exporter.
Which Metrics have the most GitHub stars?
Grafana (77.4k), Prometheus (66.7k), btop (35.1k), per GitHub on 2026-10-21. Stars measure attention, not fit; read the Catch.
What is the catch with Grafana?
Dashboard sprawl becomes a maintenance burden.

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