GStars
    vectordotdev

    vectordotdev/vector

    A high-performance observability data pipeline.

    ai-agents
    cloud
    data-engineering
    monitoring
    observability
    agent
    cloud-native
    data-transformation
    datadog
    etl
    Rust
    MPL-2.0
    22.8K stars
    2.4K forks
    151 GitHub watchers
    Updated Nov 9, 2026
    View on GitHub

    Build with Backblaze B2

    SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.

    Explore Backblaze Labs

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    Where it stands

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

    5 releases in the last 90 days, the latest 11 days ago, with 408 contributors on GitHub.

    Peaked at #39 in the weekly ranking the week of Jan 11, its best in the past year.

    Use Cases & Benefits

    • A high-performance observability data pipeline that collects, transforms, and routes logs and metrics across systems.
    • Delivers up to 10x faster processing than alternatives while ensuring reliability and vendor-neutral data control.
    • Use for consolidating multiple observability agents into a single unified platform to reduce operational complexity.
    • Use for enhancing data quality and enriching telemetry before forwarding to monitoring or analytics vendors.
    • Use for reducing observability costs by efficiently routing and transforming data to preferred or multiple destinations.

    Should you depend on it?

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

    License

    Mozilla Public License 2.0

    Weak copyleft: changes to the licensed code itself must be shared when you distribute it, but code that merely uses it can stay under your own license.

    Community files

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

    Watch-outs

    No watch-outs from GStars' checks.

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

    From the README

    Vector is a high-performance, end-to-end (agent & aggregator) observability data pipeline that puts you in control of your observability data. Collect, transform, and route all your logs and metrics to any vendors you want today and any other vendors you may want tomorrow. Vector enables dramatic cost reduction, novel data enrichment, and data security where you need it, not where it is most convenient for your vendors. Additionally, it is open source and up to 10x faster than every alternative in the space.

    To get started, follow our quickstart guide or [install Vector]docs.installation.

    Vector is maintained by Datadog's Community Open Source Engineering team.

    Excerpt from the vectordotdev/vector README on GitHub (MPL-2.0 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 18: +14Aug 19: +12Aug 20: +12Aug 29: +12Oct 2: +3Oct 3: +2

    +447 stars over 85 days across 14 snapshot days; best day +14 on Aug 18.

    Forks

    2.4K+118

    Open issues

    2.6K+56

    Compared with peers in AI Agents

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth

    View category →
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    vectordotdev/vector22.8K—6411 days ago
    Category median115.8K+8.4K75—
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