dora-rs

    dora-rs/dora

    DORA (Dataflow-Oriented Robotic Architecture) is middleware designed to streamline and simplify the creation of AI-based robotic applications. It offers low latency, composable, and distributed dataflow capabilities. Applications are modeled as directed graphs, also referred to as pipelines.

    backend
    dataflow
    embodied-ai
    low-latency
    robotics
    rust
    Rust
    Apache-2.0
    4.1K stars
    464 forks
    4.1K GitHub watchers
    Updated Oct 31, 2026
    View on GitHub

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    Where it stands

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

    4 releases in the last 90 days, the latest 23 days ago, with 118 contributors on GitHub.

    Peaked at #41 in the weekly ranking the week of Mar 8, its best in the past year.

    Use Cases & Benefits

    • Provides middleware for building AI-driven robotic applications using low-latency, composable, distributed dataflow pipelines modeled as directed graphs.
    • Delivers extremely fast performance with 100% Rust internals, achieving 10-17x speed improvements over alternatives like ROS2.
    • Use for developing real-time multi-AI and multi-hardware robotic systems requiring efficient dataflow and low latency.
    • Use for integrating diverse hardware, AI models, and algorithms quickly via a large set of pre-packaged nodes for prototyping.
    • Use for creating distributed robotics applications that leverage Python, Rust, and C/C++ APIs across multiple OS platforms.

    Should you depend on it?

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

    License

    Apache 2.0

    Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.

    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

    Latency benchmark with Python API for both framework, sending 40M of random bytes.

    Excerpt from the dora-rs/dora README on GitHub (Apache-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

    Sep 17: +110

    +193 stars over 88 days across 8 snapshot days; best day +110 on Sep 17.

    Forks

    464+37

    Open issues

    78-53

    Compared with peers in Backend

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

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