Comparison
espnet vs hazm
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 hazm if hazm is a Persian NLP Toolkit used for dependency parsing, embeddings, lemmatization, normalization, POS tagging and tokenization in Python.
Markdown twin · espnet alternatives · hazm alternatives
GraphCanon updated Sep 20, 2026
9views this month
Trust & integrity
| Signal | espnet | hazm |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 | Slowing (171d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) 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
- hazm
- Persian NLP Toolkit for dependency parsing, embeddings, lemmatization, normalization, POS tagging, and tokenization
Stars
- espnet
- 10.0k
- hazm
- 1.4k
Forks
- espnet
- 2.4k
- hazm
- 205
Open issues
- espnet
- 79
- hazm
- 8
Language
- espnet
- Python
- hazm
- 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.
- hazm
- Hazm is a Persian NLP Toolkit used for dependency parsing, embeddings, lemmatization, normalization, POS tagging and tokenization in Python.
Persona
- espnet
- -
- hazm
- -
Runtime
- espnet
- -
- hazm
- -
License
- espnet
- Apache-2.0
- hazm
- MIT
Last pushed
- espnet
- Sep 20, 2026
- hazm
- Apr 1, 2026
Categories
- espnet
- Model Training, Speech & Audio
- hazm
- Data & Retrieval, Model Training
Trust and health
Maintenance
- espnet
- Very active (96%)
- hazm
- Slowing (36%)
Days since push
- espnet
- 0d
- hazm
- 171d
Open issues (now)
- espnet
- 79
- hazm
- 8
Stars delta
- espnet
- +60 (30d)
- hazm
- +12 (30d)
Open issues delta
- espnet
- +30 (30d)
- hazm
- +1 (30d)
Full report
- espnet
- Trust report
- hazm
- Trust report
Shared compatibility
- Python · espnet: Python runtime · hazm: Python runtime
Choose espnet if…
- License: espnet is Apache-2.0, hazm is MIT.
- Tags unique to espnet: chainer, deep-learning, kaldi, pytorch.
- 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 hazm if…
- License: hazm is MIT, espnet is Apache-2.0.
- Tags unique to hazm: dependency-parser, embeddings, lemmatization, natural language processing.
- Also covers Data & Retrieval.
- When working exclusively with Farsi language texts where comprehensive processing tools like dependency parsing or POS tagging are required.
When NOT to use hazm
- If the project involves languages other than Persian, as Hazm lacks capabilities for multilingual support beyond Farsi.
- When advanced machine learning models requiring extensive training data and resources are necessary; Hazm provides utilities but does not include state-of-the-art models.
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 (roshan-research/hazm) · observed Sep 20, 2026
- GitHub forks (roshan-research/hazm) · observed Sep 20, 2026
- Last push (roshan-research/hazm) · observed Apr 1, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: espnet 10.0k · hazm 1.4k (synced Sep 20, 2026).
Common questions
- What is the difference between espnet and hazm?
- espnet: End-to-End Speech Processing Toolkit. hazm: Persian NLP Toolkit for dependency parsing, embeddings, lemmatization, normalization, POS tagging, and tokenization. See the comparison table for live GitHub stats and shared categories.
- When should I choose espnet over hazm?
- Choose espnet over hazm when License: espnet is Apache-2.0, hazm is MIT; Tags unique to espnet: chainer, deep-learning, kaldi, pytorch; 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 hazm over espnet?
- Choose hazm over espnet when License: hazm is MIT, espnet is Apache-2.0; Tags unique to hazm: dependency-parser, embeddings, lemmatization, natural language processing; Also covers Data & Retrieval; When working exclusively with Farsi language texts where comprehensive processing tools like dependency parsing or POS tagging are required.
- 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 hazm?
- If the project involves languages other than Persian, as Hazm lacks capabilities for multilingual support beyond Farsi. When advanced machine learning models requiring extensive training data and resources are necessary; Hazm provides utilities but does not include state-of-the-art models.
- Is espnet or hazm more popular on GitHub?
- espnet has more GitHub stars (9,963 vs 1,424). Stars measure visibility, not whether either tool fits your constraints.
- Are espnet and hazm open source?
- Yes - both are open-source projects on GitHub (espnet: Apache-2.0, hazm: MIT).
- Where can I find alternatives to espnet or hazm?
- GraphCanon lists graph-backed alternatives at espnet alternatives and hazm alternatives (espnet markdown twin, hazm 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 hazm?
- espnet: Very active. hazm: 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 hazm?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: espnet trust report; hazm trust report.