Comparison
STT vs espnet
Verdict
Pick STT if sTT is an open-source deep-learning toolkit for speech-to-text with high-quality pre-trained models and efficient training on multi-GPU setups; pick espnet if eSPNet is an End-to-End Speech Processing Toolkit that employs deep learning models for tasks including speech recognition and synthesis.
Markdown twin · STT alternatives · espnet alternatives
GraphCanon updated 3w
Trust & integrity
| Signal | STT | espnet |
|---|---|---|
| Maintenance | Dormant (871d 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 | No lockfile (source not queried) 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
- STT
- A fast open-source deep-learning toolkit for speech-to-text
- espnet
- End-to-End Speech Processing Toolkit
Stars
- STT
- 2.6k
- espnet
- 9.9k
Forks
- STT
- 299
- espnet
- 2.4k
Open issues
- STT
- 106
- espnet
- 49
Language
- STT
- C++
- espnet
- Python
Adopt for
- STT
- STT is an open-source deep-learning toolkit for speech-to-text with high-quality pre-trained models and efficient training on multi-GPU setups.
- espnet
- ESPNet is an End-to-End Speech Processing Toolkit that employs deep learning models for tasks including speech recognition and synthesis.
Persona
- STT
- -
- espnet
- -
Runtime
- STT
- -
- espnet
- -
License
- STT
- MPL-2.0
- espnet
- Apache-2.0
Last pushed
- STT
- Mar 11, 2024
- espnet
- Jul 28, 2026
Categories
- STT
- Speech & Audio
- espnet
- Model Training, Speech & Audio
Trust and health
Maintenance
- STT
- Dormant (18%)
- espnet
- Very active (96%)
Days since push
- STT
- 871d
- espnet
- 0d
Open issues (now)
- STT
- 106
- espnet
- 49
Full report
- STT
- Trust report
- espnet
- Trust report
Choose STT if…
- STT is primarily C++; espnet is Python.
- License: STT is MPL-2.0, espnet is Apache-2.0.
- Tags unique to STT: asr, automatic-speech-recognition, tensorflow.
- When you need a tool with high-quality pre-trained STT models
When NOT to use STT
- Since its development has slowed, it may not suit users needing the latest research advancements
- Avoid if you require community support as active maintenance has decreased
- Not ideal if newer STT models like Whisper offer more suitable features
- Consider alternatives with better-sustained Model Zoo access for more diverse pre-trained models
Choose espnet if…
- espnet is primarily Python; STT is C++.
- License: espnet is Apache-2.0, STT is MPL-2.0.
- Tags unique to espnet: chainer, kaldi, pytorch, speech-synthesis.
- Also covers Model Training.
- When you require comprehensive tools for end-to-end speech processing tasks such as speech recognition, synthesis, translation, and speaker diarization.
When NOT to use espnet
- If you are working on tasks unrelated to speech or audio processing, such as computer vision, NLP, or any other deep learning areas outside of ESPNet's focus.
- Your development environment is limited to languages other than Python or frameworks that do not support Chainer or PyTorch, which are foundational to espnet.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (coqui-ai/STT) · observed Jul 30, 2026
- GitHub forks (coqui-ai/STT) · observed Jul 30, 2026
- Last push (coqui-ai/STT) · observed Mar 11, 2024
- License file (MPL-2.0) · observed Jul 30, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (espnet/espnet) · observed Jul 29, 2026
- GitHub forks (espnet/espnet) · observed Jul 29, 2026
- Last push (espnet/espnet) · observed Jul 28, 2026
- License file (Apache-2.0) · observed Jul 29, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: STT 2.6k · espnet 9.9k (synced Jul 30, 2026).
Common questions
- What is the difference between STT and espnet?
- STT: A fast open-source deep-learning toolkit for speech-to-text. espnet: End-to-End Speech Processing Toolkit. See the comparison table for live GitHub stats and shared categories.
- When should I choose STT over espnet?
- Choose STT over espnet when STT is primarily C++; espnet is Python; License: STT is MPL-2.0, espnet is Apache-2.0; Tags unique to STT: asr, automatic-speech-recognition, tensorflow; When you need a tool with high-quality pre-trained STT models.
- When should I choose espnet over STT?
- Choose espnet over STT when espnet is primarily Python; STT is C++; License: espnet is Apache-2.0, STT is MPL-2.0; Tags unique to espnet: chainer, kaldi, pytorch, speech-synthesis; Also covers Model Training; When you require comprehensive tools for end-to-end speech processing tasks such as speech recognition, synthesis, translation, and speaker diarization.
- When should I avoid STT?
- Since its development has slowed, it may not suit users needing the latest research advancements Avoid if you require community support as active maintenance has decreased Not ideal if newer STT models like Whisper offer more suitable features Consider alternatives with better-sustained Model Zoo access for more diverse pre-trained models
- When should I avoid espnet?
- If you are working on tasks unrelated to speech or audio processing, such as computer vision, NLP, or any other deep learning areas outside of ESPNet's focus. Your development environment is limited to languages other than Python or frameworks that do not support Chainer or PyTorch, which are foundational to espnet.
- Is STT or espnet more popular on GitHub?
- espnet has more GitHub stars (9,903 vs 2,599). Stars measure visibility, not whether either tool fits your constraints.
- Are STT and espnet open source?
- Yes - both are open-source projects on GitHub (STT: MPL-2.0, espnet: Apache-2.0).
- Where can I find alternatives to STT or espnet?
- GraphCanon lists graph-backed alternatives at STT alternatives and espnet alternatives (STT markdown twin, espnet 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 espnet?
- STT: Dormant. espnet: 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 espnet?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: STT trust report; espnet trust report.