Comparison
espnet vs PPASR
Verdict
Pick espnet if eSPNet is an End-to-End Speech Processing Toolkit that employs deep learning models for tasks including speech recognition and synthesis; pick PPASR if pPASR is an end-to-end Chinese speech recognition framework powered by PaddlePaddle, offering extensive support for advanced models like DeepSpeech2, Conformer and SqueezeFormer.
Markdown twin · espnet alternatives · PPASR alternatives
GraphCanon updated Sep 21, 2026
7views this month
Trust & integrity
| Signal | espnet | PPASR |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 | Slowing (277d since push) As of Sep 21, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 21, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 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
- espnet
- End-to-End Speech Processing Toolkit
- PPASR
- PaddlePaddle-based end-to-end Chinese speech recognition framework
Stars
- espnet
- 10.0k
- PPASR
- 869
Forks
- espnet
- 2.4k
- PPASR
- 129
Open issues
- espnet
- 79
- PPASR
- 1
Language
- espnet
- Python
- PPASR
- Python
Adopt for
- espnet
- ESPNet is an End-to-End Speech Processing Toolkit that employs deep learning models for tasks including speech recognition and synthesis.
- PPASR
- PPASR is an end-to-end Chinese speech recognition framework powered by PaddlePaddle, offering extensive support for advanced models like DeepSpeech2, Conformer and SqueezeFormer.
Persona
- espnet
- -
- PPASR
- -
Runtime
- espnet
- -
- PPASR
- -
License
- espnet
- Apache-2.0
- PPASR
- Apache-2.0
Last pushed
- espnet
- Sep 20, 2026
- PPASR
- Dec 17, 2025
Categories
- espnet
- Model Training, Speech & Audio
- PPASR
- Inference & Serving, Model Training
Trust and health
Maintenance
- espnet
- Very active (96%)
- PPASR
- Slowing (36%)
Days since push
- espnet
- 0d
- PPASR
- 277d
Open issues (now)
- espnet
- 79
- PPASR
- 1
Stars delta
- espnet
- +60 (30d)
- PPASR
- -3 (30d)
Open issues delta
- espnet
- +30 (30d)
- PPASR
- 0 (30d)
Owner type
- espnet
- Organization
- PPASR
- User
OSV dependency advisories
- espnet
- No lockfile (source not queried)
- PPASR
- Published findings
Full report
- espnet
- Trust report
- PPASR
- Trust report
Shared compatibility
- Python · espnet: Python runtime · PPASR: Python runtime
Choose espnet if…
- Tags unique to espnet: chainer, kaldi, pytorch, speech-synthesis.
- Also covers Speech & Audio.
- 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.
Choose PPASR if…
- Tags unique to PPASR: asr, chinese, conformer, deepspeech2.
- Also covers Inference & Serving.
- When you are working with Chinese language data as PPASR specifically supports a wide range of Chinese-based models and decoding methods
When NOT to use PPASR
- When the project does not involve working with Python, as PPASR runs on a Python environment and is not compatible with other languages
- For applications that need immediate access to pre-trained models without requiring an additional engagement like joining a knowledge community for download access
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (espnet/espnet) · observed Sep 20, 2026
- GitHub forks (espnet/espnet) · observed Sep 20, 2026
- Last push (espnet/espnet) · observed Sep 20, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (yeyupiaoling/PPASR) · observed Sep 21, 2026
- GitHub forks (yeyupiaoling/PPASR) · observed Sep 21, 2026
- Last push (yeyupiaoling/PPASR) · observed Dec 17, 2025
- License file (Apache-2.0) · observed Sep 21, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: espnet 10.0k · PPASR 869 (synced Sep 20, 2026).
Common questions
- What is the difference between espnet and PPASR?
- espnet: End-to-End Speech Processing Toolkit. PPASR: PaddlePaddle-based end-to-end Chinese speech recognition framework. See the comparison table for live GitHub stats and shared categories.
- When should I choose espnet over PPASR?
- Choose espnet over PPASR when Tags unique to espnet: chainer, kaldi, pytorch, speech-synthesis; Also covers Speech & Audio; When you require comprehensive tools for end-to-end speech processing tasks such as speech recognition, synthesis, translation, and speaker diarization.
- When should I choose PPASR over espnet?
- Choose PPASR over espnet when Tags unique to PPASR: asr, chinese, conformer, deepspeech2; Also covers Inference & Serving; When you are working with Chinese language data as PPASR specifically supports a wide range of Chinese-based models and decoding methods.
- 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.
- When should I avoid PPASR?
- When the project does not involve working with Python, as PPASR runs on a Python environment and is not compatible with other languages For applications that need immediate access to pre-trained models without requiring an additional engagement like joining a knowledge community for download access
- Is espnet or PPASR more popular on GitHub?
- espnet has more GitHub stars (9,963 vs 869). Stars measure visibility, not whether either tool fits your constraints.
- Are espnet and PPASR open source?
- Yes - both are open-source projects on GitHub (espnet: Apache-2.0, PPASR: Apache-2.0).
- Where can I find alternatives to espnet or PPASR?
- GraphCanon lists graph-backed alternatives at espnet alternatives and PPASR alternatives (espnet markdown twin, PPASR 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, espnet or PPASR?
- espnet: Very active. PPASR: Slowing. 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 espnet and PPASR?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: espnet trust report; PPASR trust report.