--- title: "natasha vs hazm" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/natasha-natasha-vs-roshan-research-hazm" tools: ["natasha-natasha", "roshan-research-hazm"] --- # natasha vs hazm *GraphCanon updated Aug 22, 2026* ## 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. [natasha](https://github.com/natasha/natasha) reports 1.3k GitHub stars, 120 forks, and 36 open issues, last pushed Apr 13, 2026. [hazm](https://www.roshan-ai.ir/hazm/) has 1.4k stars, 208 forks, and 8 open issues, last pushed Apr 1, 2026. Figures are from public GitHub metadata via [natasha's repository](https://github.com/natasha/natasha) and [hazm's repository](https://github.com/roshan-research/hazm). | | [natasha](/tools/natasha-natasha.md) | [hazm](/tools/roshan-research-hazm.md) | | --- | --- | --- | | Tagline | Solves basic Russian NLP tasks via API for lower level Natasha projects | Persian NLP Toolkit for dependency parsing, embeddings, lemmatization, normalization, POS tagging, and tokenization | | Stars | 1,348 | 1,417 | | Forks | 120 | 208 | | Open issues | 36 | 8 | | Language | Python | Python | | Adopt for | Natasha is a Russian NLP toolkit offering capabilities such as embeddings, morphology analysis, named entity recognition (NER), syntax parsing, and sentence segmentation. | Hazm is a Persian NLP Toolkit used for dependency parsing, embeddings, lemmatization, normalization, POS tagging and tokenization in Python. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Data & Retrieval, Model Training | Data & Retrieval, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [natasha](/tools/natasha-natasha.md) | [hazm](/tools/roshan-research-hazm.md) | | --- | --- | --- | | Days since push | 130d | 142d | | Open issues (now) | 36 | 8 | | Stars delta | +4 (30d) | +5 (30d) | | Full report | [trust report](/tools/natasha-natasha/trust.md) | [trust report](/tools/roshan-research-hazm/trust.md) | ## Shared compatibility - **Python**: [natasha](/tools/natasha-natasha.md) - Python runtime; [hazm](/tools/roshan-research-hazm.md) - Python runtime ## Decision facts: natasha - **Adopt for:** Natasha is a Russian NLP toolkit offering capabilities such as embeddings, morphology analysis, named entity recognition (NER), syntax parsing, and sentence segmentation. ## Decision facts: hazm - **Adopt for:** Hazm is a Persian NLP Toolkit used for dependency parsing, embeddings, lemmatization, normalization, POS tagging and tokenization in Python. ## Choose when ### 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). ### 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 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 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. ## 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 (1,417 vs 1,348). 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](/tools/natasha-natasha/alternatives) and [hazm alternatives](/tools/roshan-research-hazm/alternatives) ([natasha markdown twin](/tools/natasha-natasha/alternatives.md), [hazm markdown twin](/tools/roshan-research-hazm/alternatives.md)), 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](/compare/natasha-natasha-vs-roshan-research-hazm.md) 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](/tools/natasha-natasha/trust); [hazm trust report](/tools/roshan-research-hazm/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=natasha-natasha`](/api/graphcanon/graph?tool=natasha-natasha) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_