Comparison
sherpa-onnx vs TensorFlowASR
Verdict
Pick sherpa-onnx if sherpa-onnx offers local speech-to-text processing across multiple platforms including embedded systems with NPUs, supporting wide programming languages; 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 · sherpa-onnx alternatives · TensorFlowASR alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | sherpa-onnx | TensorFlowASR |
|---|---|---|
| Maintenance | Very active (0d 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 | No lockfile (source not queried) 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
- sherpa-onnx
- Speech-to-text and related audio processing tools using ONNX with cross-platform support
- TensorFlowASR
- Almost State-of-the-art Automatic Speech Recognition in Tensorflow 2
Stars
- sherpa-onnx
- 14k
- TensorFlowASR
- 1.0k
Forks
- sherpa-onnx
- 1.6k
- TensorFlowASR
- 239
Open issues
- sherpa-onnx
- 617
- TensorFlowASR
- 47
Language
- sherpa-onnx
- C++
- TensorFlowASR
- Python
Adopt for
- sherpa-onnx
- sherpa-onnx offers local speech-to-text processing across multiple platforms including embedded systems with NPUs, supporting wide programming languages.
- TensorFlowASR
- TensorFlowASR is an advanced Automatic Speech Recognition library built on TensorFlow 2 that supports modern architectures such as Conformer and RNN-Transducer.
Persona
- sherpa-onnx
- -
- TensorFlowASR
- -
Runtime
- sherpa-onnx
- -
- TensorFlowASR
- -
License
- sherpa-onnx
- Apache-2.0
- TensorFlowASR
- Apache-2.0
Last pushed
- sherpa-onnx
- Jul 29, 2026
- TensorFlowASR
- Jul 30, 2026
Categories
- sherpa-onnx
- Speech & Audio
- TensorFlowASR
- Speech & Audio
Trust and health
Open issues (now)
- sherpa-onnx
- 617
- TensorFlowASR
- 47
OSV dependency advisories
- sherpa-onnx
- No lockfile (source not queried)
- TensorFlowASR
- Published findings
Full report
- sherpa-onnx
- Trust report
- TensorFlowASR
- Trust report
Shared compatibility
- Python · sherpa-onnx: Python runtime · TensorFlowASR: Python runtime
Choose sherpa-onnx if…
- sherpa-onnx is primarily C++; TensorFlowASR is Python.
- Tags unique to sherpa-onnx: aarch64, android, arm32, asr.
- When you need to deploy speech recognition or synthesis on platforms such as Raspberry Pi, RISC-V, and with NPUs like Rockchip, Axera, Ascend
When NOT to use sherpa-onnx
- If your project strictly requires real-time web service interaction or server-based speech-to-text solutions
- When the target environment lacks support for ONNX runtime and specific NPUs integrated within sherpa-onnx
Choose TensorFlowASR if…
- TensorFlowASR is primarily Python; sherpa-onnx 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 (k2-fsa/sherpa-onnx) · observed Jul 29, 2026
- GitHub forks (k2-fsa/sherpa-onnx) · observed Jul 29, 2026
- Last push (k2-fsa/sherpa-onnx) · observed Jul 29, 2026
- License file (Apache-2.0) · observed Jul 29, 2026
- Decision facts (enrichment) · observed Jul 16, 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: sherpa-onnx 14k · TensorFlowASR 1.0k (synced Jul 29, 2026).
Common questions
- What is the difference between sherpa-onnx and TensorFlowASR?
- sherpa-onnx: Speech-to-text and related audio processing tools using ONNX with cross-platform support. 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 sherpa-onnx over TensorFlowASR?
- Choose sherpa-onnx over TensorFlowASR when sherpa-onnx is primarily C++; TensorFlowASR is Python; Tags unique to sherpa-onnx: aarch64, android, arm32, asr; When you need to deploy speech recognition or synthesis on platforms such as Raspberry Pi, RISC-V, and with NPUs like Rockchip, Axera, Ascend.
- When should I choose TensorFlowASR over sherpa-onnx?
- Choose TensorFlowASR over sherpa-onnx when TensorFlowASR is primarily Python; sherpa-onnx 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 sherpa-onnx?
- If your project strictly requires real-time web service interaction or server-based speech-to-text solutions When the target environment lacks support for ONNX runtime and specific NPUs integrated within sherpa-onnx
- 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 sherpa-onnx or TensorFlowASR more popular on GitHub?
- sherpa-onnx has more GitHub stars (13,842 vs 1,010). Stars measure visibility, not whether either tool fits your constraints.
- Are sherpa-onnx and TensorFlowASR open source?
- Yes - both are open-source projects on GitHub (sherpa-onnx: Apache-2.0, TensorFlowASR: Apache-2.0).
- Where can I find alternatives to sherpa-onnx or TensorFlowASR?
- GraphCanon lists graph-backed alternatives at sherpa-onnx alternatives and TensorFlowASR alternatives (sherpa-onnx 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, sherpa-onnx or TensorFlowASR?
- sherpa-onnx: 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 sherpa-onnx and TensorFlowASR?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: sherpa-onnx trust report; TensorFlowASR trust report.