---
title: "merlin vs BELLE"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/cstr-edinburgh-merlin-vs-lianjiatech-belle"
tools: ["cstr-edinburgh-merlin", "lianjiatech-belle"]
---

# merlin vs BELLE

*GraphCanon updated Sep 20, 2026*

## Verdict

Pick merlin if merlin is an open-source Python toolkit for building Deep Neural Network models for statistical parametric speech synthesis that requires pairing with a text processor and vocoder; pick BELLE if bELLE is an open-source Chinese dialogue large model project that focuses on making high-quality instruction-following language models accessible to everyone. It provides instruction training data, models, training code,.

[merlin](http://www.cstr.ed.ac.uk/projects/merlin/) reports 1.3k GitHub stars, 431 forks, and 207 open issues, last pushed Mar 3, 2020. [BELLE](https://github.com/LianjiaTech/BELLE) has 8.3k stars, 755 forks, and 106 open issues, last pushed Oct 16, 2024. Figures are from public GitHub metadata via [merlin's repository](https://github.com/CSTR-Edinburgh/merlin) and [BELLE's repository](https://github.com/LianjiaTech/BELLE).

| | [merlin](/tools/cstr-edinburgh-merlin.md) | [BELLE](/tools/lianjiatech-belle.md) |
| --- | --- | --- |
| Tagline | Neural Network based Speech Synthesis System | Open-source Chinese dialogue large model |
| Stars | 1,321 | 8,270 |
| Forks | 431 | 755 |
| Open issues | 207 | 106 |
| Language | Python | HTML |
| Adopt for | Merlin is an open-source Python toolkit for building Deep Neural Network models for statistical parametric speech synthesis that requires pairing with a text processor and vocoder. | BELLE is an open-source Chinese dialogue large model project that focuses on making high-quality instruction-following language models accessible to everyone. It provides instruction training data, models, training code, |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | BELLE is licensed under Apache-2.0, allowing for free use, modification, and distribution. |
| Categories | Speech & Audio | Computer Vision, Evaluation & Observability, LLM Frameworks, Model Training, Speech & Audio |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [merlin](/tools/cstr-edinburgh-merlin.md) | [BELLE](/tools/lianjiatech-belle.md) |
| --- | --- | --- |
| Days since push | 2391d | 701d |
| Open issues (now) | 207 | 106 |
| Stars delta | +1 (30d) | -10 (30d) |
| Full report | [trust report](/tools/cstr-edinburgh-merlin/trust.md) | [trust report](/tools/lianjiatech-belle/trust.md) |

## Decision facts: merlin

- **Adopt for:** Merlin is an open-source Python toolkit for building Deep Neural Network models for statistical parametric speech synthesis that requires pairing with a text processor and vocoder.

## Decision facts: BELLE

- **Requirements:** Min 8 GB RAM; Requires Docker; BELLE requires Docker for running the environment.; Ensure you have sufficient computational resources for training and inference.
- **Adopt for:** BELLE is an open-source Chinese dialogue large model project that focuses on making high-quality instruction-following language models accessible to everyone. It provides instruction training data, models, training code,
- **License detail:** BELLE is licensed under Apache-2.0, allowing for free use, modification, and distribution.

## Choose when

### Choose merlin if…

- merlin is primarily Python; BELLE is HTML.
- Tags unique to merlin: deep-learning, keras, speech-synthesis, tensorflow.
- Merlin is an open-source Python toolkit for building Deep Neural Network models for statistical parametric speech synthesis that requires pairing with a text processor and vocoder.

### Choose BELLE if…

- BELLE is primarily HTML; merlin is Python.
- Requirements: Min 8 GB RAM; Requires Docker; BELLE requires Docker for running the environment.; Ensure you have sufficient computational resources for training and inference..
- Tags unique to BELLE: bloom, chinese-nlp, gpt-evaluation, gpt-q.
- Also covers Computer Vision, Evaluation & Observability, LLM Frameworks, Model Training.
- Use BELLE when you need a Chinese-specific large language model that has been optimized for instruction-following tasks.

## When NOT to use merlin

- Last GitHub push was Mar 3, 2020 (dormant maintenance). Validate activity before betting a new project on merlin.

## When NOT to use BELLE

- Avoid BELLE if your project requires a language model that is not focused on Chinese, as it is specifically optimized for the Chinese language.
- Do not use BELLE if you need a model that is trained on a diverse set of data beyond Chinese dialogue, as it primarily uses data generated by ChatGPT.
- BELLE may not be suitable if you require a model that has not been fine-tuned on high-quality dialogue data, as it emphasizes instruction-following capabilities.

## Common questions

### What is the difference between merlin and BELLE?

merlin: Neural Network based Speech Synthesis System. BELLE: Open-source Chinese dialogue large model. See the comparison table for live GitHub stats and shared categories.

### When should I choose merlin over BELLE?

Choose merlin over BELLE when merlin is primarily Python; BELLE is HTML; Tags unique to merlin: deep-learning, keras, speech-synthesis, tensorflow; Merlin is an open-source Python toolkit for building Deep Neural Network models for statistical parametric speech synthesis that requires pairing with a text processor and vocoder.

### When should I choose BELLE over merlin?

Choose BELLE over merlin when BELLE is primarily HTML; merlin is Python; Requirements: Min 8 GB RAM; Requires Docker; BELLE requires Docker for running the environment.; Ensure you have sufficient computational resources for training and inference.; Tags unique to BELLE: bloom, chinese-nlp, gpt-evaluation, gpt-q; Also covers Computer Vision, Evaluation & Observability, LLM Frameworks, Model Training; Use BELLE when you need a Chinese-specific large language model that has been optimized for instruction-following tasks.

### When should I avoid merlin?

Last GitHub push was Mar 3, 2020 (dormant maintenance). Validate activity before betting a new project on merlin.

### When should I avoid BELLE?

Avoid BELLE if your project requires a language model that is not focused on Chinese, as it is specifically optimized for the Chinese language. Do not use BELLE if you need a model that is trained on a diverse set of data beyond Chinese dialogue, as it primarily uses data generated by ChatGPT. BELLE may not be suitable if you require a model that has not been fine-tuned on high-quality dialogue data, as it emphasizes instruction-following capabilities.

### Is merlin or BELLE more popular on GitHub?

BELLE has more GitHub stars (8,270 vs 1,321). Stars measure visibility, not whether either tool fits your constraints.

### Are merlin and BELLE open source?

Yes - both are open-source projects on GitHub (merlin: Apache-2.0, BELLE: Apache-2.0).

### Where can I find alternatives to merlin or BELLE?

GraphCanon lists graph-backed alternatives at [merlin alternatives](/tools/cstr-edinburgh-merlin/alternatives) and [BELLE alternatives](/tools/lianjiatech-belle/alternatives) ([merlin markdown twin](/tools/cstr-edinburgh-merlin/alternatives.md), [BELLE markdown twin](/tools/lianjiatech-belle/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/cstr-edinburgh-merlin-vs-lianjiatech-belle.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, merlin or BELLE?

merlin: Dormant. BELLE: Dormant. 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 merlin and BELLE?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [merlin trust report](/tools/cstr-edinburgh-merlin/trust); [BELLE trust report](/tools/lianjiatech-belle/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=cstr-edinburgh-merlin`](/api/graphcanon/graph?tool=cstr-edinburgh-merlin)
- 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/_
