head to head · open source

Harness vs backend.ai

Harness has 38,798 GitHub stars, 3,451 forks, 106 open issues and last shipped yesterday. backend.ai has 677 stars, 185 forks, 1,617 open issues and last shipped yesterday. Harness leads on adoption by 5,631% (38,798 vs 677 stars). Harness is written in Go under Apache-2.0; backend.ai is written in Python under LGPL-3.0. Harness has attracted 9% as many forks as stars, backend.ai 27%. Harness was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (docker), so they are genuine substitutes rather than adjacent tools.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

Harness ★ 39K backend.ai ★ 677 category Developer Tools

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Side by side

Harness backend.ai
GitHub stars ★ 39K ★ 677
License Apache-2.0 LGPL-3.0
Written in Go Python
Last push 2026-11-02 2026-11-02
Forks ⑂ 3.5K ⑂ 185
Self-hosting Yes Yes
Data ownership Your server Your server

pick Harness if

  • You weight community size — 39K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches Go
  • You value the larger contributor base for long-term maintenance

full Harness profile →

pick backend.ai if

  • You want the backend.ai feature set and don't need the biggest community
  • You prefer the LGPL-3.0 license terms
  • Your stack matches Python
  • You evaluated both and backend.ai fits your workflow better

full backend.ai profile →

About Harness

Harness Harness Open Source is an open source development platform packed with the power of code hosting, automated DevOps pipelines, hosted development environments (Gitspaces), and artifact registries. Overview Harness Open source is an open source development platform packed with the power of code hosting, automated DevOps pipelines, Gitspaces, and artifact registries. Running Harness locally The latest publicly released docker image can be found on harness/harness. To install Harness yourself, simply run the command below. Once the container is up, you can visit in your browser. The Harness image uses a…

read the full Harness overview →

About backend.ai

Backend.AI ========== Backend.AI is a streamlined, container based computing cluster platform that hosts popular computing/ML frameworks and diverse programming languages, with pluggable heterogeneous accelerator support including CUDA GPU, ROCm GPU, Rebellions, FuriosaAI, HyperAccel, Intel Gaudi, Tenstorrent, Google TPU, Graphcore IPU and other NPUs. It allocates and isolates the underlying computing resources for multi tenant computation sessions on demand or in batches with customizable job schedulers with its own orchestrator named "Sokovan". All its functions are exposed as REST and GraphQL APIs…

read the full backend.ai overview →

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Frequently asked questions

Is Harness or backend.ai more popular?

Harness has 38,798 GitHub stars and backend.ai has 677. Harness has the larger community by that measure.

Are Harness and backend.ai free?

Both are open source. Harness is licensed under Apache-2.0 and backend.ai under LGPL-3.0. Neither carries a licence fee.

What is the difference between Harness and backend.ai?

Harness is written in Go and backend.ai in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, Harness or backend.ai?

Choose Harness if you want the larger community (38,798 stars) or its Apache-2.0 licence terms. Choose backend.ai if its feature set, stack or LGPL-3.0 licence fits better. Both are self-hostable.