Comparison
natasha vs hazm
Verdict
Pick natasha if natasha is a Russian NLP toolkit offering capabilities such as embeddings, morphology analysis, named entity recognition (NER), syntax parsing, and sentence segmentation; pick hazm if hazm is a Persian NLP Toolkit used for dependency parsing, embeddings, lemmatization, normalization, POS tagging and tokenization in Python.
Markdown twin · natasha alternatives · hazm alternatives
GraphCanon updated Sep 20, 2026
9views this month
Trust & integrity
| Signal | natasha | hazm |
|---|---|---|
| Maintenance | Slowing (159d 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
- natasha
- Solves basic Russian NLP tasks via API for lower level Natasha projects
- hazm
- Persian NLP Toolkit for dependency parsing, embeddings, lemmatization, normalization, POS tagging, and tokenization
Stars
- natasha
- 1.3k
- hazm
- 1.4k
Forks
- natasha
- 120
- hazm
- 205
Open issues
- natasha
- 36
- hazm
- 8
Language
- natasha
- Python
- hazm
- Python
Adopt for
- natasha
- Natasha is a Russian NLP toolkit offering capabilities such as embeddings, morphology analysis, named entity recognition (NER), syntax parsing, and sentence segmentation.
- hazm
- Hazm is a Persian NLP Toolkit used for dependency parsing, embeddings, lemmatization, normalization, POS tagging and tokenization in Python.
Persona
- natasha
- -
- hazm
- -
Runtime
- natasha
- -
- hazm
- -
License
- natasha
- MIT
- hazm
- MIT
Last pushed
- natasha
- Apr 13, 2026
- hazm
- Apr 1, 2026
Categories
- natasha
- Data & Retrieval, Model Training
- hazm
- Data & Retrieval, Model Training
Trust and health
Days since push
- natasha
- 159d
- hazm
- 171d
Open issues (now)
- natasha
- 36
- hazm
- 8
Stars delta
- natasha
- +5 (30d)
- hazm
- +12 (30d)
Full report
- natasha
- Trust report
- hazm
- Trust report
Shared compatibility
- Python · natasha: Python runtime · hazm: Python runtime
Choose natasha if…
- Tags unique to natasha: morphology, ner, russian, sentence-segmentation.
- For projects requiring deep processing of Russian language text data.
- More recently updated (last pushed Apr 13, 2026).
When NOT to use natasha
- If your project involves languages other than Russian as Natasha is specialized for the Russian language.
- In scenarios where advanced, fine-tuned models are required that go beyond basic NLP tasks, as Natasha focuses on foundational NLP capabilities.
Choose hazm if…
- Tags unique to hazm: dependency-parser, lemmatization, natural language processing, normalization.
- When working exclusively with Farsi language texts where comprehensive processing tools like dependency parsing or POS tagging are required.
- More GitHub stars (1.4k vs 1.3k) - visibility, not fit.
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 (natasha/natasha) · observed Sep 20, 2026
- GitHub forks (natasha/natasha) · observed Sep 20, 2026
- Last push (natasha/natasha) · observed Apr 13, 2026
- License file (MIT) · 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: natasha 1.3k · hazm 1.4k (synced Sep 20, 2026).
Common questions
- What is the difference between natasha and hazm?
- natasha: Solves basic Russian NLP tasks via API for lower level Natasha projects. 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 natasha over hazm?
- Choose natasha over hazm when Tags unique to natasha: morphology, ner, russian, sentence-segmentation; For projects requiring deep processing of Russian language text data; More recently updated (last pushed Apr 13, 2026).
- When should I choose hazm over natasha?
- Choose hazm over natasha when Tags unique to hazm: dependency-parser, lemmatization, natural language processing, normalization; When working exclusively with Farsi language texts where comprehensive processing tools like dependency parsing or POS tagging are required; More GitHub stars (1.4k vs 1.3k) - visibility, not fit.
- When should I avoid natasha?
- If your project involves languages other than Russian as Natasha is specialized for the Russian language. In scenarios where advanced, fine-tuned models are required that go beyond basic NLP tasks, as Natasha focuses on foundational NLP capabilities.
- 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 natasha or hazm more popular on GitHub?
- hazm has more GitHub stars (1,424 vs 1,349). Stars measure visibility, not whether either tool fits your constraints.
- Are natasha and hazm open source?
- Yes - both are open-source projects on GitHub (natasha: MIT, hazm: MIT).
- Where can I find alternatives to natasha or hazm?
- GraphCanon lists graph-backed alternatives at natasha alternatives and hazm alternatives (natasha 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, natasha or hazm?
- natasha: Slowing. 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 natasha and hazm?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: natasha trust report; hazm trust report.