Home/Compare/whisper.cpp vs TensorFlowASR

Comparison

whisper.cpp vs TensorFlowASR

Verdict

Pick whisper.cpp when whisper.cpp is primarily C++; TensorFlowASR is Python; pick TensorFlowASR when tensorFlowASR is primarily Python; whisper.cpp is C++.

Markdown twin · whisper.cpp alternatives · TensorFlowASR alternatives

GraphCanon updated today

whisper.cpp logo

whisper.cpp

ggml-org/whisper.cpp

52kpushed Jul 11, 2026
vs
TensorFlowASR logo

TensorFlowASR

TensorSpeech/TensorFlowASR

1.0kpushed Jun 11, 2025

Trust & integrity

Signalwhisper.cppTensorFlowASR
Maintenance
Very active (0d since push)
As of today · github_public_v1
Dormant (394d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
15 low (15 low)
As of today · osv@v1

Tagline

whisper.cpp
Port of OpenAI's Whisper model in C/C++
TensorFlowASR
:zap: TensorFlowASR: Almost State-of-the-art Automatic Speech Recognition in Tensorflow 2. Supported languages that can use characters or subwords

Stars

whisper.cpp
52k
TensorFlowASR
1.0k

Forks

whisper.cpp
5.9k
TensorFlowASR
239

Open issues

whisper.cpp
1.2k
TensorFlowASR
47

Language

whisper.cpp
C++
TensorFlowASR
Python

Adopt for

whisper.cpp
-
TensorFlowASR
-

Persona

whisper.cpp
-
TensorFlowASR
-

Runtime

whisper.cpp
-
TensorFlowASR
-

License

whisper.cpp
MIT
TensorFlowASR
Apache-2.0

Last pushed

whisper.cpp
Jul 11, 2026
TensorFlowASR
Jun 11, 2025

Categories

whisper.cpp
Model Training, Speech & Audio, Inference & Serving
TensorFlowASR
Model Training, Speech & Audio

Trust and health

Maintenance

whisper.cpp
Very active (96%)
TensorFlowASR
Dormant (18%)

Days since push

whisper.cpp
0d
TensorFlowASR
394d

Open issues (now)

whisper.cpp
1.2k
TensorFlowASR
47

Security scan

whisper.cpp
No lockfile
TensorFlowASR
15 low (15 low)

Full report

whisper.cpp
Trust report
TensorFlowASR
Trust report

Choose whisper.cpp if…

  • whisper.cpp is primarily C++; TensorFlowASR is Python.
  • License: whisper.cpp is MIT, TensorFlowASR is Apache-2.0.
  • Tags unique to whisper.cpp: speech-to-text, c++, openai, transformer.
  • Also covers Inference & Serving.

When NOT to use whisper.cpp

  • Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.

Choose TensorFlowASR if…

  • TensorFlowASR is primarily Python; whisper.cpp is C++.
  • License: TensorFlowASR is Apache-2.0, whisper.cpp is MIT.
  • Tags unique to TensorFlowASR: jasper, automatic-speech-recognition, end2end, ctc.
  • TensorFlowASR ships Docker support for self-hosted deployment.

When NOT to use TensorFlowASR

  • Last GitHub push was 395 days ago (dormant maintenance, Jun 11, 2025). Validate activity before betting a new project on TensorFlowASR.
  • Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: whisper.cpp 52k · TensorFlowASR 1.0k (synced Jul 11, 2026).

Common questions

What is the difference between whisper.cpp and TensorFlowASR?
whisper.cpp: Port of OpenAI's Whisper model in C/C++. TensorFlowASR: :zap: TensorFlowASR: Almost State-of-the-art Automatic Speech Recognition in Tensorflow 2. Supported languages that can use characters or subwords. See the comparison table for live GitHub stats and shared categories.
When should I choose whisper.cpp over TensorFlowASR?
Choose whisper.cpp over TensorFlowASR when whisper.cpp is primarily C++; TensorFlowASR is Python; License: whisper.cpp is MIT, TensorFlowASR is Apache-2.0; Tags unique to whisper.cpp: speech-to-text, c++, openai, transformer; Also covers Inference & Serving.
When should I choose TensorFlowASR over whisper.cpp?
Choose TensorFlowASR over whisper.cpp when TensorFlowASR is primarily Python; whisper.cpp is C++; License: TensorFlowASR is Apache-2.0, whisper.cpp is MIT; Tags unique to TensorFlowASR: jasper, automatic-speech-recognition, end2end, ctc; TensorFlowASR ships Docker support for self-hosted deployment.
When should I avoid whisper.cpp?
Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
When should I avoid TensorFlowASR?
Last GitHub push was 395 days ago (dormant maintenance, Jun 11, 2025). Validate activity before betting a new project on TensorFlowASR. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
Is whisper.cpp or TensorFlowASR more popular on GitHub?
whisper.cpp has more GitHub stars (51,715 vs 1,009). Stars measure visibility, not whether either tool fits your constraints.
Are whisper.cpp and TensorFlowASR open source?
Yes - both are open-source projects on GitHub (whisper.cpp: MIT, TensorFlowASR: Apache-2.0).
Where can I find alternatives to whisper.cpp or TensorFlowASR?
GraphCanon lists graph-backed alternatives at whisper.cpp alternatives and TensorFlowASR alternatives (whisper.cpp 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, whisper.cpp or TensorFlowASR?
whisper.cpp: Very active. TensorFlowASR: Dormant. 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 whisper.cpp and TensorFlowASR?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: whisper.cpp trust report; TensorFlowASR trust report.