ThreeDotsLabs

    ThreeDotsLabs/watermill

    Building event-driven applications the easy way in Go.

    10.0K stars
    513 forks
    85 GitHub watchers
    Updated Nov 9, 2026
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    Where it stands

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

    1 release in the last 90 days, the latest 76 days ago, with 86 contributors on GitHub.

    Use Cases & Benefits

    • Builds event-driven applications in Go by providing tools for message streams, event sourcing, and messaging patterns.
    • Offers a universal, easy-to-understand, and flexible framework supporting multiple Pub/Sub implementations like Kafka, RabbitMQ, and HTTP.
    • Use for implementing CQRS and event sourcing architectures in distributed Go services.
    • Use for integrating asynchronous messaging with various backends such as NATS, Redis Streams, or SQL databases.
    • Use for creating resilient, scalable microservices with support for sagas, stream processing, and exactly-once delivery guarantees.

    Should you depend on it?

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

    License

    MIT

    Permissive: commercial use, modification and redistribution are allowed with attribution.

    Community files

    • README: present
    • Contributing guide: present

    Watch-outs

    No watch-outs from GStars' checks.

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

    From the README

    Watermill is a Go library for working efficiently with message streams. It is intended for building event driven applications, enabling event sourcing, RPC over messages, sagas and basically whatever else comes to your mind. You can use conventional pub/sub implementations like Kafka or RabbitMQ, but also HTTP or PostgreSQL if that fits your use case.

    Excerpt from the ThreeDotsLabs/watermill README on GitHub (MIT 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

    Forks

    513+10

    Open issues

    86+6

    Compared with peers in Data Engineering

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

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    ThreeDotsLabs/watermill10.0K—5676 days ago
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    Category median5.8K—64—

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