dbos-inc

    dbos-inc/dbos-transact-golang

    Database-Backed Durable Golang Workflows

    automation
    automation-framework
    durable-execution
    go
    golang
    orchestration
    Go
    MIT
    864 stars
    80 forks
    864 GitHub watchers
    Updated Oct 30, 2026
    View on GitHub

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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 2 days ago, with 24 contributors on GitHub.

    Gained 33% fewer stars in the last 90 days than in the 90 days before.

    Use Cases & Benefits

    • Provides lightweight durable workflow orchestration and task queues backed by Postgres for Go applications.
    • Ensures reliable execution and automatic recovery of workflows and tasks after failures using Postgres checkpointing.
    • Use for building fault-tolerant business process orchestrations that recover seamlessly from crashes.
    • Use for implementing durable background task queues with concurrency control and exactly-once execution.
    • Use for creating reliable event-driven systems like webhooks or Kafka consumers with guaranteed processing.

    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
    • 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

    DBOS provides lightweight durable workflow orchestration on top of Postgres. Instead of managing your own workflow orchestrator or task queue system, you can use DBOS to add durable workflows and queues to your program in just a few lines of code.

    You should consider using DBOS if your application needs to reliably handle failures. For example, you might be building a payments service that must reliably process transactions even if servers crash mid-operation, or a long-running data pipeline that needs to resume seamlessly from checkpoints rather than restart from the beginning when interrupted.

    Handling failures is costly and complicated, requiring complex state management and recovery logic as well as heavyweight tools like external orchestration services. DBOS makes it simpler: annotate your code to checkpoint it in Postgres and automatically recover from any failure. DBOS also provides powerful Postgres-backed primitives that makes it easier to write and operate reliable code, including durable queues, notifications, scheduling, event processing, and programmatic workflow management.

    Excerpt from the dbos-inc/dbos-transact-golang 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

    80+13

    Open issues

    6-6

    Compared with peers in Automation

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

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