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FunASR

Open-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diarization pipelines, and OpenAI-compatible/MCP serving.

Our verdict

Not reviewed yet

We have not reviewed FunASR yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About FunASR

FunASR is an open-source speech recognition toolkit in Python. It supports training, inference, streaming ASR, VAD, punctuation, speaker diarization, and serving via OpenAI-compatible or MCP interfaces.

Best for

Developers building production speech recognition systems who need an integrated open-source toolkit

Use cases

  • Building speech-to-text pipelines with VAD and punctuation
  • Fine-tuning ASR models on custom audio datasets
  • Deploying streaming ASR services through OpenAI-compatible endpoints

Notes

20,579 stars on GitHub. Last updated 2026-10-02. Licensed MIT.

Pros

  • Comprehensive all-in-one toolkit for speech recognition tasks
  • Large community with over 20,000 GitHub stars
  • Supports modern serving protocols like OpenAI-compatible and MCP

Cons

  • Steep learning curve due to many components and configuration options
  • May require significant compute resources for training and diarization
  • Documentation can be scattered across multiple sources

Key facts

What we have checked

Latest version
1.4.24 (released 8 Nov 2026)
Checked GitHub
Days since the last commit
0
Checked GitHub
GitHub forks
2,111
Checked GitHub
GitHub stars
20,954
Checked GitHub
Days to a first reply on issues
0.5
Checked GitHub
Open issues
43
Checked GitHub
Releases in the last 90 days
39
Checked GitHub

Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.

Stars and usage

How FunASR is growing

GitHub stars

20,579 to 20,954

stars. 4 Oct 2026 to 7 Nov 2026, 3 readings.

Source: GitHub. Checked .

Health and security

Is FunASR looked after, and what do its setup files show

Health score

100 out of 100

Does someone look after this repository? It does not say the code is good or safe. Worked out from GitHub signals checked . How it is worked out

PartPointsWhat we saw
Recent activity30 of 30Last push 0 days ago
Releases15 of 1539 releases in 90 days
Issue replies20 of 20First reply in 0.5 days (median)
Maintainer15 of 15Owned by an organisation
Official sourceNot countedMCP servers only

Sources

Where this comes from

  • GitHubOfficial

    Checked · Latest version

  • GitHubRegistry

    Checked · Days since the last commit, GitHub forks, GitHub stars, Days to a first reply on issues, Open issues, Releases in the last 90 days

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

  1. Released 1.4.24

    Source: GitHub

  2. Released 1.4.23

    Source: GitHub

  3. Released runtime-onnx-v0.4.9

    Source: GitHub

  4. Released 1.4.22

    Source: GitHub

  5. Released runtime-torch-v0.1.6

    Source: GitHub

  6. Released runtime-onnx-v0.4.8

    Source: GitHub

  7. Released runtime-torch-v0.1.5

    Source: GitHub

  8. Released runtime-onnx-v0.4.7

    Source: GitHub

  9. Released 1.4.21

    Source: GitHub

  10. Released runtime-onnx-v0.4.6

    Source: GitHub

  11. Released 1.4.20

    Source: GitHub

  12. Released runtime-onnx-v0.4.5

    Source: GitHub

  13. Released runtime-onnx-v0.4.4

    Source: GitHub

  14. Released runtime-libtorch-v0.1.4

    Source: GitHub

  15. Released 1.4.19

    Source: GitHub

  16. Released 1.4.18

    Source: GitHub

  17. Released 1.4.17

    Source: GitHub

  18. Released 1.4.16

    Source: GitHub

  19. Released funasr-onnx-v0.4.3

    Source: GitHub

  20. Released 1.4.15

    Source: GitHub

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