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Comparison

STT vs whisper.cpp

Verdict

Pick STT when license: STT is MPL-2.0, whisper.cpp is MIT; pick whisper.cpp when license: whisper.cpp is MIT, STT is MPL-2.0.

Markdown twin · STT alternatives · whisper.cpp alternatives

GraphCanon updated today

STT logo

STT

coqui-ai/STT

★ 2.6kpushed Mar 11, 2024
vs
whisper.cpp logo

whisper.cpp

ggml-org/whisper.cpp

★ 52kpushed Jul 11, 2026

Trust & integrity

SignalSTTwhisper.cpp
Maintenance
Dormant (852d since push)
As of today · github_public_v1
Very active (0d 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
No lockfile
As of today · none
STT trust reportwhisper.cpp trust reportTrust methodology

Tagline

STT
🐸STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.
whisper.cpp
Port of OpenAI's Whisper model in C/C++ for speech-to-text inference

Stars

STT
2.6k
whisper.cpp
52k

Forks

STT
299
whisper.cpp
5.9k

Open issues

STT
106
whisper.cpp
1.2k

Language

STT
C++
whisper.cpp
C++

Adopt for

STT
-
whisper.cpp
A port of OpenAI's Whisper model to C++, optimized with `ggml`, for lightweight speech-to-text transcription.

Persona

STT
-
whisper.cpp
-

Runtime

STT
-
whisper.cpp
-

License

STT
MPL-2.0
whisper.cpp
MIT License - permissive license that allows users to use the software in any way, including closed-source applications.

Last pushed

STT
Mar 11, 2024
whisper.cpp
Jul 11, 2026

Categories

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

Trust and health

Maintenance

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

Days since push

STT
852d
whisper.cpp
0d

Open issues (now)

STT
106
whisper.cpp
1.2k

Full report

STT
Trust report
whisper.cpp
Trust report

Choose STT if…

  • License: STT is MPL-2.0, whisper.cpp is MIT.
  • Tags unique to STT: asr, automatic-speech-recognition, deep-learning, speech-recognition-api.
  • Also covers Model Training.

When NOT to use STT

  • Last GitHub push was 853 days ago (dormant maintenance, Mar 11, 2024). Validate activity before betting a new project on STT.
  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
  • Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
GitHubDetails

Choose whisper.cpp if…

  • License: whisper.cpp is MIT, STT is MPL-2.0.
  • Requirements: Requires C++ setup and knowledge; Needs audio files converted into a compatible format supported by `ggml`..
  • Tags unique to whisper.cpp: inference, openai, transformer, whisper.
  • You need a lightweight solution that does not require Python or PyTorch

When NOT to use whisper.cpp

  • When you prefer to work with higher-level languages like Python which might offer more ease-of-use and extensive libraries
  • If your project requires real-time speech transcription and has limited computational resources as `ggml` optimization might still require significant CPU/GPU power for high-performance
GitHubDetails

Explore

STT trust report →whisper.cpp trust report →Inference & Serving category →Model Training category →Speech & Audio category →All comparisonsStack workflowsTrending tools

Sources

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

GitHub stars on cards: STT 2.6k · whisper.cpp 52k (synced Jul 11, 2026).

Common questions

What is the difference between STT and whisper.cpp?
STT: 🐸STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.. whisper.cpp: Port of OpenAI's Whisper model in C/C++ for speech-to-text inference. See the comparison table for live GitHub stats and shared categories.
When should I choose STT over whisper.cpp?
Choose STT over whisper.cpp when License: STT is MPL-2.0, whisper.cpp is MIT; Tags unique to STT: asr, automatic-speech-recognition, deep-learning, speech-recognition-api; Also covers Model Training.
When should I choose whisper.cpp over STT?
Choose whisper.cpp over STT when License: whisper.cpp is MIT, STT is MPL-2.0; Requirements: Requires C++ setup and knowledge; Needs audio files converted into a compatible format supported by ggml.; Tags unique to whisper.cpp: inference, openai, transformer, whisper; You need a lightweight solution that does not require Python or PyTorch.
When should I avoid STT?
Last GitHub push was 853 days ago (dormant maintenance, Mar 11, 2024). Validate activity before betting a new project on STT. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
When should I avoid whisper.cpp?
When you prefer to work with higher-level languages like Python which might offer more ease-of-use and extensive libraries If your project requires real-time speech transcription and has limited computational resources as ggml optimization might still require significant CPU/GPU power for high-performance
Is STT or whisper.cpp more popular on GitHub?
whisper.cpp has more GitHub stars (51,715 vs 2,590). Stars measure visibility, not whether either tool fits your constraints.
Are STT and whisper.cpp open source?
Yes - both are open-source projects on GitHub (STT: MPL-2.0, whisper.cpp: MIT).
Where can I find alternatives to STT or whisper.cpp?
GraphCanon lists graph-backed alternatives at STT alternatives and whisper.cpp alternatives (STT markdown twin, whisper.cpp 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, STT or whisper.cpp?
STT: Dormant. whisper.cpp: 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 STT and whisper.cpp?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: STT trust report; whisper.cpp trust report.