--- title: "natasha vs lingvo" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/natasha-natasha-vs-tensorflow-lingvo" tools: ["natasha-natasha", "tensorflow-lingvo"] --- # natasha vs lingvo *GraphCanon updated Aug 22, 2026* ## Verdict Pick natasha when license: natasha is MIT, lingvo is Apache-2.0; pick lingvo when license: lingvo is Apache-2.0, natasha is MIT. [natasha](https://github.com/natasha/natasha) reports 1.3k GitHub stars, 120 forks, and 36 open issues, last pushed Apr 13, 2026. [lingvo](https://github.com/tensorflow/lingvo) has 2.9k stars, 452 forks, and 156 open issues, last pushed Jun 22, 2026. Figures are from public GitHub metadata via [natasha's repository](https://github.com/natasha/natasha) and [lingvo's repository](https://github.com/tensorflow/lingvo). | | [natasha](/tools/natasha-natasha.md) | [lingvo](/tools/tensorflow-lingvo.md) | | --- | --- | --- | | Tagline | Solves basic Russian NLP tasks via API for lower level Natasha projects | Lingvo is a modular and production-ready research platform built on TensorFlow for building sequence-to-sequence models. | | Stars | 1,348 | 2,861 | | Forks | 120 | 452 | | Open issues | 36 | 156 | | 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. | - | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Data & Retrieval, Model Training | Model Training, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [natasha](/tools/natasha-natasha.md) | [lingvo](/tools/tensorflow-lingvo.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Steady (60%) | | Days since push | 130d | 37d | | Open issues (now) | 36 | 156 | | Stars delta | +4 (30d) | Unknown | | Open issues delta | +1 (30d) | Unknown | | Full report | [trust report](/tools/natasha-natasha/trust.md) | [trust report](/tools/tensorflow-lingvo/trust.md) | ## Shared compatibility - **Python**: [natasha](/tools/natasha-natasha.md) - Python runtime; [lingvo](/tools/tensorflow-lingvo.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. ## Choose when ### Choose natasha if… - License: natasha is MIT, lingvo is Apache-2.0. - Tags unique to natasha: embeddings, morphology, ner, russian. - Also covers Data & Retrieval. - For projects requiring deep processing of Russian language text data. ### Choose lingvo if… - License: lingvo is Apache-2.0, natasha is MIT. - Tags unique to lingvo: asr, machine-translation, research, seq2seq. - Also covers Speech & Audio. - When needing flexibility to modify framework code or develop new custom ops. ## 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 lingvo - If simplicity of installation is prioritized over modifiable framework code. - For projects that do not require TensorFlow-based advanced model customization. ## Common questions ### What is the difference between natasha and lingvo? natasha: Solves basic Russian NLP tasks via API for lower level Natasha projects. lingvo: Lingvo is a modular and production-ready research platform built on TensorFlow for building sequence-to-sequence models.. See the comparison table for live GitHub stats and shared categories. ### When should I choose natasha over lingvo? Choose natasha over lingvo when License: natasha is MIT, lingvo is Apache-2.0; Tags unique to natasha: embeddings, morphology, ner, russian; Also covers Data & Retrieval; For projects requiring deep processing of Russian language text data. ### When should I choose lingvo over natasha? Choose lingvo over natasha when License: lingvo is Apache-2.0, natasha is MIT; Tags unique to lingvo: asr, machine-translation, research, seq2seq; Also covers Speech & Audio; When needing flexibility to modify framework code or develop new custom ops. ### 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 lingvo? If simplicity of installation is prioritized over modifiable framework code. For projects that do not require TensorFlow-based advanced model customization. ### Is natasha or lingvo more popular on GitHub? lingvo has more GitHub stars (2,861 vs 1,348). Stars measure visibility, not whether either tool fits your constraints. ### Are natasha and lingvo open source? Yes - both are open-source projects on GitHub (natasha: MIT, lingvo: Apache-2.0). ### Where can I find alternatives to natasha or lingvo? GraphCanon lists graph-backed alternatives at [natasha alternatives](/tools/natasha-natasha/alternatives) and [lingvo alternatives](/tools/tensorflow-lingvo/alternatives) ([natasha markdown twin](/tools/natasha-natasha/alternatives.md), [lingvo markdown twin](/tools/tensorflow-lingvo/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-tensorflow-lingvo.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, natasha or lingvo? natasha: Slowing. lingvo: Steady. 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 lingvo? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [natasha trust report](/tools/natasha-natasha/trust); [lingvo trust report](/tools/tensorflow-lingvo/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/_