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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. observed · 2026-08-28

github.com/dora-rs/dora · homepage · Rust · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

87/100

  • Activity 99
  • Release rhythm 64
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 56
  • age_days: 1658
  • days_rel: 161
  • days_push: 7
  • n_releases_24m: 10

Full methodology

Adoption not part of the score

3900 stars · 432 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Dora is a Rust-based dataflow middleware framework for building real-time robotics and AI applications, where applications are modeled as directed graphs (pipelines) of nodes communicating via zero-copy shared memory and Apache Arrow. It provides a single CLI for the full lifecycle including local development, distributed deployment, monitoring, and record/replay, with SDKs for Rust, Python, C, and C++.

Use cases

  • build low-latency robotic applications with a dataflow pipeline
  • replace ROS2 with a faster Rust middleware
  • orchestrate distributed AI nodes across multiple machines
  • record and replay robot sensor data for offline debugging
  • mix Python and Rust nodes in one robotics pipeline
  • run vision models like YOLO as reusable pipeline nodes

When to choose

  • you need low-latency, zero-copy communication for robotics or embodied AI workloads
  • you want distributed deployment, fault tolerance, and dynamic topology in one framework
  • you prefer Rust performance with Python node support
  • you need record/replay and observability for regression testing robot pipelines

When to avoid

  • your project is already deeply invested in the ROS2 ecosystem and tooling
  • you need a mature, widely-adopted standard with extensive community packages
  • your application is simple enough not to need a dataflow middleware
  • you require platforms beyond Linux/macOS such as Windows or embedded RTOS targets

Facets

framework · maturity active

middleware message-queue streaming cli monitoring machine-learning robotics machine-learning microservices developer-tools rust python cpp c cross-platform dataflow robotics-middleware zero-copy shared-memory zenoh apache-arrow ros2-alternative embodied-ai record-replay distributed-deployment real-time linux macos

2 sources

Member repositories

RepositoryRoleHealth v2
dora-rs/doramain87

For agents

markdown · JSON · MCP: product_card(name="dora-rs/dora")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem