--- title: "espnet vs hazm" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/espnet-espnet-vs-roshan-research-hazm" tools: ["espnet-espnet", "roshan-research-hazm"] --- # espnet vs hazm *GraphCanon updated Aug 22, 2026* ## 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. [espnet](https://espnet.github.io/espnet/) reports 9.9k GitHub stars, 2.4k forks, and 49 open issues, last pushed Jul 28, 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 [espnet's repository](https://github.com/espnet/espnet) and [hazm's repository](https://github.com/roshan-research/hazm). | | [espnet](/tools/espnet-espnet.md) | [hazm](/tools/roshan-research-hazm.md) | | --- | --- | --- | | Tagline | End-to-End Speech Processing Toolkit | Persian NLP Toolkit for dependency parsing, embeddings, lemmatization, normalization, POS tagging, and tokenization | | Stars | 9,903 | 1,417 | | Forks | 2,421 | 208 | | Open issues | 49 | 8 | | Language | Python | Python | | Adopt for | ESPNet is an End-to-End Speech Processing Toolkit that employs deep learning models for tasks including speech recognition and synthesis. | Hazm is a Persian NLP Toolkit used for dependency parsing, embeddings, lemmatization, normalization, POS tagging and tokenization in Python. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Model Training, Speech & Audio | Data & Retrieval, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [espnet](/tools/espnet-espnet.md) | [hazm](/tools/roshan-research-hazm.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 142d | | Open issues (now) | 49 | 8 | | Stars delta | Unknown | +5 (30d) | | Open issues delta | Unknown | +1 (30d) | | Full report | [trust report](/tools/espnet-espnet/trust.md) | [trust report](/tools/roshan-research-hazm/trust.md) | ## Shared compatibility - **Python**: [espnet](/tools/espnet-espnet.md) - Python runtime; [hazm](/tools/roshan-research-hazm.md) - Python runtime ## Decision facts: espnet - **Adopt for:** ESPNet is an End-to-End Speech Processing Toolkit that employs deep learning models for tasks including speech recognition and synthesis. ## 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 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. ### 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 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 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 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 (9,903 vs 1,417). 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](/tools/espnet-espnet/alternatives) and [hazm alternatives](/tools/roshan-research-hazm/alternatives) ([espnet markdown twin](/tools/espnet-espnet/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/espnet-espnet-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, 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](/tools/espnet-espnet/trust); [hazm trust report](/tools/roshan-research-hazm/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=espnet-espnet`](/api/graphcanon/graph?tool=espnet-espnet) - 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/_