Comparison
faster-whisper vs TensorFlowASR
Verdict
Pick faster-whisper if faster Whisper is a Python library for fast speech-to-text transcription using Whisper models with CTranslate2 for inference, offering an alternative to installing FFmpeg by bundling FFmpeg libraries with PyAV; 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 · faster-whisper alternatives · TensorFlowASR alternatives
GraphCanon updated Sep 20, 2026
16views this month
vs
Trust & integrity
| Signal | faster-whisper | TensorFlowASR |
|---|---|---|
| Maintenance | Slowing (302d since push) As of Sep 18, 2026 · github_public_v1 | Very active (6d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-09-18 As of Sep 18, 2026 · osv@v1 | Published findings As of Jul 11, 2026 · 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
- faster-whisper
- Faster Whisper transcription with CTranslate2
- TensorFlowASR
- Almost State-of-the-art Automatic Speech Recognition in Tensorflow 2
Stars
- faster-whisper
- 25k
- TensorFlowASR
- 1.0k
Forks
- faster-whisper
- 2.1k
- TensorFlowASR
- 237
Open issues
- faster-whisper
- 323
- TensorFlowASR
- 47
Language
- faster-whisper
- Python
- TensorFlowASR
- Python
Adopt for
- faster-whisper
- Faster Whisper is a Python library for fast speech-to-text transcription using Whisper models with CTranslate2 for inference, offering an alternative to installing FFmpeg by bundling FFmpeg libraries with PyAV.
- TensorFlowASR
- TensorFlowASR is an advanced Automatic Speech Recognition library built on TensorFlow 2 that supports modern architectures such as Conformer and RNN-Transducer.
Persona
- faster-whisper
- -
- TensorFlowASR
- -
Runtime
- faster-whisper
- -
- TensorFlowASR
- -
License
- faster-whisper
- MIT
- TensorFlowASR
- Apache-2.0
Last pushed
- faster-whisper
- Nov 19, 2025
- TensorFlowASR
- Sep 13, 2026
Categories
- faster-whisper
- Inference & Serving, Speech & Audio
- TensorFlowASR
- Speech & Audio
Trust and health
Maintenance
- faster-whisper
- Slowing (36%)
- TensorFlowASR
- Very active (96%)
Days since push
- faster-whisper
- 302d
- TensorFlowASR
- 6d
Open issues (now)
- faster-whisper
- 323
- TensorFlowASR
- 47
Stars delta
- faster-whisper
- +762 (30d)
- TensorFlowASR
- 0 (30d)
Open issues delta
- faster-whisper
- +8 (30d)
- TensorFlowASR
- 0 (30d)
OSV dependency advisories
- faster-whisper
- No published findings from this source as of 2026-09-18
- TensorFlowASR
- Published findings
Full report
- faster-whisper
- Trust report
- TensorFlowASR
- Trust report
Shared compatibility
- Python · faster-whisper: Python runtime · TensorFlowASR: Python runtime
Choose faster-whisper if…
- License: faster-whisper is MIT, TensorFlowASR is Apache-2.0.
- Requirements: Requires Python 3.9 or greater..
- Tags unique to faster-whisper: deep-learning, inference, openai, quantization.
- Also covers Inference & Serving.
- When you need fast speech-to-text transcription without the need to install FFmpeg separately, as Faster Whisper bundles FFmpeg libraries with PyAV.
When NOT to use faster-whisper
- When your project strictly requires the use of FFmpeg for audio decoding, as Faster Whisper uses PyAV for this purpose.
- When you are working in an environment where Python 3.9 or greater is not available, as this is a requirement for using Faster Whisper.
Choose TensorFlowASR if…
- License: TensorFlowASR is Apache-2.0, faster-whisper is MIT.
- 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 (SYSTRAN/faster-whisper) · observed Sep 20, 2026
- GitHub forks (SYSTRAN/faster-whisper) · observed Sep 20, 2026
- Last push (SYSTRAN/faster-whisper) · observed Nov 19, 2025
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (TensorSpeech/TensorFlowASR) · observed Sep 20, 2026
- GitHub forks (TensorSpeech/TensorFlowASR) · observed Sep 20, 2026
- Last push (TensorSpeech/TensorFlowASR) · observed Sep 13, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: faster-whisper 25k · TensorFlowASR 1.0k (synced Sep 20, 2026).
Common questions
- What is the difference between faster-whisper and TensorFlowASR?
- faster-whisper: Faster Whisper transcription with CTranslate2. 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 faster-whisper over TensorFlowASR?
- Choose faster-whisper over TensorFlowASR when License: faster-whisper is MIT, TensorFlowASR is Apache-2.0; Requirements: Requires Python 3.9 or greater.; Tags unique to faster-whisper: deep-learning, inference, openai, quantization; Also covers Inference & Serving; When you need fast speech-to-text transcription without the need to install FFmpeg separately, as Faster Whisper bundles FFmpeg libraries with PyAV.
- When should I choose TensorFlowASR over faster-whisper?
- Choose TensorFlowASR over faster-whisper when License: TensorFlowASR is Apache-2.0, faster-whisper is MIT; 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 faster-whisper?
- When your project strictly requires the use of FFmpeg for audio decoding, as Faster Whisper uses PyAV for this purpose. When you are working in an environment where Python 3.9 or greater is not available, as this is a requirement for using Faster Whisper.
- 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 faster-whisper or TensorFlowASR more popular on GitHub?
- faster-whisper has more GitHub stars (25,451 vs 1,010). Stars measure visibility, not whether either tool fits your constraints.
- Are faster-whisper and TensorFlowASR open source?
- Yes - both are open-source projects on GitHub (faster-whisper: MIT, TensorFlowASR: Apache-2.0).
- Where can I find alternatives to faster-whisper or TensorFlowASR?
- GraphCanon lists graph-backed alternatives at faster-whisper alternatives and TensorFlowASR alternatives (faster-whisper 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, faster-whisper or TensorFlowASR?
- faster-whisper: Slowing. 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 faster-whisper and TensorFlowASR?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: faster-whisper trust report; TensorFlowASR trust report.