grafana

    grafana/tempo

    #545 this week

    Grafana Tempo is a high volume, minimal dependency distributed tracing backend.

    observability
    monitoring
    distributed-tracing
    grafana
    tempo
    traces
    Go
    AGPL-3.0
    5.5K stars
    774 forks
    5.5K GitHub watchers
    Updated Oct 14, 2026
    View on GitHub

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    Ranks #545 of 2,845 repositories GStars tracks this week (top 19%).

    5 releases in the last 90 days, the latest 15 days ago, with 308 contributors on GitHub.

    Use Cases & Benefits

    • Provides a high-scale, minimal dependency distributed tracing backend for collecting and analyzing trace data.
    • Requires only object storage to operate, making it cost-efficient and easy to maintain compared to other tracing backends.
    • Use for monitoring microservices performance and quickly pinpointing latency bottlenecks across distributed systems.
    • Use for integrating with Grafana, Prometheus, and Loki to unify observability data in a single platform.
    • Use for implementing OpenTelemetry-compatible tracing pipelines that support Jaeger, Zipkin, and Kafka trace formats.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    AGPL 3.0

    Network copyleft: like the GPL, and also triggered by offering the software over a network.

    Community files

    • README: present
    • Contributing guide: present
    • Code of conduct: present

    Watch-outs

    • AGPL-style copyleft also applies when the software is offered over a network.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    Grafana Tempo is an open source, easy-to-use, and high-scale distributed tracing backend. Tempo is cost-efficient, requiring only object storage to operate, and is deeply integrated with Grafana, Prometheus, and Loki.

    Distributed tracing helps teams quickly pinpoint performance issues and understand the flow of requests across services. The Traces Drilldown UI simplifies this process by offering a user-friendly interface to view and analyze trace data, making it easier to identify and resolve issues without needing to write complex queries.

    Refer to Use traces to find solutions to learn more about how you can use distributed tracing to investigate and solve issues.

    We are excited to introduce the Traces Drilldown (formerly Explore Traces) app as part of the Grafana Explore suite. This app provides a queryless and intuitive experience for analyzing tracing data, allowing teams to quickly identify performance issues, latency bottlenecks, and errors without needing to write complex queries or use TraceQL.

    Excerpt from the grafana/tempo README on GitHub (AGPL-3.0 license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Aug 11: +5Aug 12: +4

    +156 stars over 89 days across 9 snapshot days; best day +5 on Aug 11.

    Forks

    774+44

    Open issues

    186+6

    Compared with peers in Observability

    Fastest-growing repositories GStars tracks in this cohort for the week of Oct 11, by 7-day star growth

    grafana/tempo compared with Observability repositories by stars, 7-day star growth, health score and last release
    RepositoryStars+7dHealthLast release
    Tracer-Cloud/opensre11.9K+49659107 days ago
    Effect-TS/effect17.4K+94751 day ago
    mlflow/mlflow28.5K+049200 days ago
    sirupsen/logrus25.8K+07547 days ago
    uber-go/zap24.7K+075168 days ago
    grafana/tempo5.5K+07515 days ago
    Category median24.7K+075—

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