--- title: "awesome-persian-nlp-ir vs natasha" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mhbashari-awesome-persian-nlp-ir-vs-natasha-natasha" tools: ["mhbashari-awesome-persian-nlp-ir", "natasha-natasha"] --- # awesome-persian-nlp-ir vs natasha *GraphCanon updated Aug 22, 2026* ## Verdict Pick awesome-persian-nlp-ir if curated List of Persian NLP and IR Tools; 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. [awesome-persian-nlp-ir](https://github.com/mhbashari/awesome-persian-nlp-ir) reports 768 GitHub stars, 117 forks, and 4 open issues, last pushed Nov 7, 2023. [natasha](https://github.com/natasha/natasha) has 1.3k stars, 120 forks, and 36 open issues, last pushed Apr 13, 2026. Figures are from public GitHub metadata via [awesome-persian-nlp-ir's repository](https://github.com/mhbashari/awesome-persian-nlp-ir) and [natasha's repository](https://github.com/natasha/natasha). | | [awesome-persian-nlp-ir](/tools/mhbashari-awesome-persian-nlp-ir.md) | [natasha](/tools/natasha-natasha.md) | | --- | --- | --- | | Tagline | Curated List of Persian NLP and IR Tools | Solves basic Russian NLP tasks via API for lower level Natasha projects | | Stars | 768 | 1,348 | | Forks | 117 | 120 | | Open issues | 4 | 36 | | Language | - | Python | | Adopt for | Curated List of Persian NLP and IR Tools | Natasha is a Russian NLP toolkit offering capabilities such as embeddings, morphology analysis, named entity recognition (NER), syntax parsing, and sentence segmentation. | | Persona | - | - | | Runtime | - | - | | License | - | MIT | | Categories | Data & Retrieval, Model Training | Data & Retrieval, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-persian-nlp-ir](/tools/mhbashari-awesome-persian-nlp-ir.md) | [natasha](/tools/natasha-natasha.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 1019d | 130d | | Open issues (now) | 4 | 36 | | Stars delta | +1 (30d) | +4 (30d) | | Open issues delta | 0 (30d) | +1 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/mhbashari-awesome-persian-nlp-ir/trust.md) | [trust report](/tools/natasha-natasha/trust.md) | ## Decision facts: awesome-persian-nlp-ir - **Adopt for:** Curated List of Persian NLP and IR Tools ## 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. ## Choose when ### Choose awesome-persian-nlp-ir if… - Tags unique to awesome-persian-nlp-ir: corpus, dependency-parser, information-retrieval, language-detection. - Need for Persian-specific resources in NLP and IR domain - Leaner open-issue backlog (4). ### Choose natasha if… - Tags unique to natasha: morphology, ner, nlp, russian. - For projects requiring deep processing of Russian language text data. - More GitHub stars (1.3k vs 768) - visibility, not fit. ## When NOT to use awesome-persian-nlp-ir - For languages other than Persian where different corpora and tools are required - If modern deep learning architectures that require recent and diverse datasets not covered by this list ## 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. ## Common questions ### What is the difference between awesome-persian-nlp-ir and natasha? awesome-persian-nlp-ir: Curated List of Persian NLP and IR Tools. natasha: Solves basic Russian NLP tasks via API for lower level Natasha projects. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-persian-nlp-ir over natasha? Choose awesome-persian-nlp-ir over natasha when Tags unique to awesome-persian-nlp-ir: corpus, dependency-parser, information-retrieval, language-detection; Need for Persian-specific resources in NLP and IR domain; Leaner open-issue backlog (4). ### When should I choose natasha over awesome-persian-nlp-ir? Choose natasha over awesome-persian-nlp-ir when Tags unique to natasha: morphology, ner, nlp, russian; For projects requiring deep processing of Russian language text data; More GitHub stars (1.3k vs 768) - visibility, not fit. ### When should I avoid awesome-persian-nlp-ir? For languages other than Persian where different corpora and tools are required If modern deep learning architectures that require recent and diverse datasets not covered by this list ### 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. ### Is awesome-persian-nlp-ir or natasha more popular on GitHub? natasha has more GitHub stars (1,348 vs 768). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-persian-nlp-ir and natasha open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to awesome-persian-nlp-ir or natasha? GraphCanon lists graph-backed alternatives at [awesome-persian-nlp-ir alternatives](/tools/mhbashari-awesome-persian-nlp-ir/alternatives) and [natasha alternatives](/tools/natasha-natasha/alternatives) ([awesome-persian-nlp-ir markdown twin](/tools/mhbashari-awesome-persian-nlp-ir/alternatives.md), [natasha markdown twin](/tools/natasha-natasha/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/mhbashari-awesome-persian-nlp-ir-vs-natasha-natasha.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, awesome-persian-nlp-ir or natasha? awesome-persian-nlp-ir: Dormant. natasha: 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 awesome-persian-nlp-ir and natasha? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-persian-nlp-ir trust report](/tools/mhbashari-awesome-persian-nlp-ir/trust); [natasha trust report](/tools/natasha-natasha/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=mhbashari-awesome-persian-nlp-ir`](/api/graphcanon/graph?tool=mhbashari-awesome-persian-nlp-ir) - 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/_