Comparison
Fun-ASR vs TensorFlowASR
Verdict
Pick Fun-ASR if fun-ASR is a real-time speech recognition tool supporting 31 languages with capabilities for handling dialects, accents, and speaker diarization; pick TensorFlowASR if tensorFlowASR is an advanced Automatic Speech Recognition library built on TensorFlow 2 that supports modern architectures such as Conformer and RNN-Transducer.
Markdown twin · Fun-ASR alternatives · TensorFlowASR alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | Fun-ASR | TensorFlowASR |
|---|---|---|
| Maintenance | Very active (6d since push) As of 3w · github_public_v1 | Very active (0d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Organization account As of 3w · github_public_v1 |
| OSV dependency advisories | Published findings As of 1mo · osv@v1 | Published findings As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- Fun-ASR
- Fun-ASR-Nano LLM-ASR model supports 31 languages for real-time speech recognition tasks
- TensorFlowASR
- Almost State-of-the-art Automatic Speech Recognition in Tensorflow 2
Stars
- Fun-ASR
- 1.4k
- TensorFlowASR
- 1.0k
Forks
- Fun-ASR
- 141
- TensorFlowASR
- 239
Open issues
- Fun-ASR
- 0
- TensorFlowASR
- 47
Language
- Fun-ASR
- C
- TensorFlowASR
- Python
Adopt for
- Fun-ASR
- Fun-ASR is a real-time speech recognition tool supporting 31 languages with capabilities for handling dialects, accents, and speaker diarization.
- TensorFlowASR
- TensorFlowASR is an advanced Automatic Speech Recognition library built on TensorFlow 2 that supports modern architectures such as Conformer and RNN-Transducer.
Persona
- Fun-ASR
- -
- TensorFlowASR
- -
Runtime
- Fun-ASR
- -
- TensorFlowASR
- -
License
- Fun-ASR
- Apache-2.0
- TensorFlowASR
- Apache-2.0
Last pushed
- Fun-ASR
- Jul 24, 2026
- TensorFlowASR
- Jul 30, 2026
Categories
- Fun-ASR
- LLM Frameworks, Speech & Audio
- TensorFlowASR
- Speech & Audio
Trust and health
Days since push
- Fun-ASR
- 6d
- TensorFlowASR
- 0d
Open issues (now)
- Fun-ASR
- 0
- TensorFlowASR
- 47
Full report
- Fun-ASR
- Trust report
- TensorFlowASR
- Trust report
Shared compatibility
- Python · Fun-ASR: Python runtime · TensorFlowASR: Python runtime
Choose Fun-ASR if…
- Fun-ASR is primarily C; TensorFlowASR is Python.
- Pricing: Open source under Apache License 2.0 allows free use with attribution and adherence to the license terms..
- Requirements: Installation requires Python packages `funasr` version >=1.3.3, and `vllm` version >=0.12.0..
- Tags unique to Fun-ASR: asr, audio-language-model, multilingual-asr, real-time-asr.
- Also covers LLM Frameworks.
- When you need support for 31 different languages including handling of various dialects and accents.
When NOT to use Fun-ASR
- Avoid if your project requires a specific programming language other than C as Fun-ASR is primarily developed in C.
- If you do not require on-device processing, as this tool is designed for on-device inference which may limit scalability for cloud-based applications.
Choose TensorFlowASR if…
- TensorFlowASR is primarily Python; Fun-ASR is C.
- Tags unique to TensorFlowASR: automatic-speech-recognition, conformer, contextnet, ctc.
- TensorFlowASR ships Docker support for self-hosted deployment.
- When focusing on state-of-the-art performance with models like Conformer or ContextNet, which are among its supported architectures and not necessarily included in all ASR libraries.
When NOT to use TensorFlowASR
- When Python version constraints are an issue, as TensorFlowASR strictly requires python >= 3.12 on Apple Silicon devices, limiting compatibility.
- If your project cannot accommodate the extra installation steps involving `ctc_decoders` and `rnnt_loss`, which implies additional complexity in setting up the environment.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (FunAudioLLM/Fun-ASR) · observed Jul 30, 2026
- GitHub forks (FunAudioLLM/Fun-ASR) · observed Jul 30, 2026
- Last push (FunAudioLLM/Fun-ASR) · observed Jul 24, 2026
- License file (Apache-2.0) · observed Jul 30, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (TensorSpeech/TensorFlowASR) · observed Jul 31, 2026
- GitHub forks (TensorSpeech/TensorFlowASR) · observed Jul 31, 2026
- Last push (TensorSpeech/TensorFlowASR) · observed Jul 30, 2026
- License file (Apache-2.0) · observed Jul 31, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Fun-ASR 1.4k · TensorFlowASR 1.0k (synced Jul 30, 2026).
Common questions
- What is the difference between Fun-ASR and TensorFlowASR?
- Fun-ASR: Fun-ASR-Nano LLM-ASR model supports 31 languages for real-time speech recognition tasks. TensorFlowASR: Almost State-of-the-art Automatic Speech Recognition in Tensorflow 2. See the comparison table for live GitHub stats and shared categories.
- When should I choose Fun-ASR over TensorFlowASR?
- Choose Fun-ASR over TensorFlowASR when Fun-ASR is primarily C; TensorFlowASR is Python; Pricing: Open source under Apache License 2.0 allows free use with attribution and adherence to the license terms.; Requirements: Installation requires Python packages
funasrversion >=1.3.3, andvllmversion >=0.12.0.; Tags unique to Fun-ASR: asr, audio-language-model, multilingual-asr, real-time-asr; Also covers LLM Frameworks; When you need support for 31 different languages including handling of various dialects and accents. - When should I choose TensorFlowASR over Fun-ASR?
- Choose TensorFlowASR over Fun-ASR when TensorFlowASR is primarily Python; Fun-ASR is C; Tags unique to TensorFlowASR: automatic-speech-recognition, conformer, contextnet, ctc; TensorFlowASR ships Docker support for self-hosted deployment; When focusing on state-of-the-art performance with models like Conformer or ContextNet, which are among its supported architectures and not necessarily included in all ASR libraries.
- When should I avoid Fun-ASR?
- Avoid if your project requires a specific programming language other than C as Fun-ASR is primarily developed in C. If you do not require on-device processing, as this tool is designed for on-device inference which may limit scalability for cloud-based applications.
- When should I avoid TensorFlowASR?
- When Python version constraints are an issue, as TensorFlowASR strictly requires python >= 3.12 on Apple Silicon devices, limiting compatibility. If your project cannot accommodate the extra installation steps involving
ctc_decodersandrnnt_loss, which implies additional complexity in setting up the environment. - Is Fun-ASR or TensorFlowASR more popular on GitHub?
- Fun-ASR has more GitHub stars (1,449 vs 1,010). Stars measure visibility, not whether either tool fits your constraints.
- Are Fun-ASR and TensorFlowASR open source?
- Yes - both are open-source projects on GitHub (Fun-ASR: Apache-2.0, TensorFlowASR: Apache-2.0).
- Where can I find alternatives to Fun-ASR or TensorFlowASR?
- GraphCanon lists graph-backed alternatives at Fun-ASR alternatives and TensorFlowASR alternatives (Fun-ASR markdown twin, TensorFlowASR markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, Fun-ASR or TensorFlowASR?
- Fun-ASR: Very active. TensorFlowASR: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for Fun-ASR and TensorFlowASR?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Fun-ASR trust report; TensorFlowASR trust report.