---
title: "MeloTTS vs lingvo"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/myshell-ai-melotts-vs-tensorflow-lingvo"
tools: ["myshell-ai-melotts", "tensorflow-lingvo"]
---

# MeloTTS vs lingvo

*GraphCanon updated Jul 30, 2026*

## Verdict

Pick MeloTTS when license: MeloTTS is MIT, lingvo is Apache-2.0; pick lingvo when license: lingvo is Apache-2.0, MeloTTS is MIT.

[MeloTTS](https://github.com/myshell-ai/MeloTTS) reports 7.6k GitHub stars, 1.1k forks, and 232 open issues, last pushed Dec 24, 2024. [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 [MeloTTS's repository](https://github.com/myshell-ai/MeloTTS) and [lingvo's repository](https://github.com/tensorflow/lingvo).

| | [MeloTTS](/tools/myshell-ai-melotts.md) | [lingvo](/tools/tensorflow-lingvo.md) |
| --- | --- | --- |
| Tagline | High-quality multi-lingual text-to-speech library by MyShell.ai | Lingvo is a modular and production-ready research platform built on TensorFlow for building sequence-to-sequence models. |
| Stars | 7,551 | 2,861 |
| Forks | 1,059 | 452 |
| Open issues | 232 | 156 |
| Language | Python | Python |
| Adopt for | MeloTTS is an MIT-licensed Python library for high-quality multi-lingual text-to-speech, supporting English, Spanish, French, Chinese, Japanese and Korean. | - |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | Apache-2.0 |
| Categories | Speech & Audio | Model Training, Speech & Audio |

## Trust and health

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

| | [MeloTTS](/tools/myshell-ai-melotts.md) | [lingvo](/tools/tensorflow-lingvo.md) |
| --- | --- | --- |
| Maintenance | Dormant (18%) | Steady (60%) |
| Days since push | 581d | 37d |
| Open issues (now) | 232 | 156 |
| Full report | [trust report](/tools/myshell-ai-melotts/trust.md) | [trust report](/tools/tensorflow-lingvo/trust.md) |

## Decision facts: MeloTTS

- **Adopt for:** MeloTTS is an MIT-licensed Python library for high-quality multi-lingual text-to-speech, supporting English, Spanish, French, Chinese, Japanese and Korean.

## Choose when

### Choose MeloTTS if…

- License: MeloTTS is MIT, lingvo is Apache-2.0.
- Tags unique to MeloTTS: chinese, english, french, japanese.
- MeloTTS ships Docker support for self-hosted deployment.
- If your project requires support for a broad language range including less common languages like Japanese or Korean in a TTS solution.

### Choose lingvo if…

- License: lingvo is Apache-2.0, MeloTTS is MIT.
- Tags unique to lingvo: asr, machine-translation, nlp, research.
- Also covers Model Training.
- When needing flexibility to modify framework code or develop new custom ops.

## When NOT to use MeloTTS

- If your application's required languages are not covered by MeloTTS, such as Arabic or Russian.
- In situations where you need more customization options for TTS than what the library provides out-of-the-box.

## 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 MeloTTS and lingvo?

MeloTTS: High-quality multi-lingual text-to-speech library by MyShell.ai. 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 MeloTTS over lingvo?

Choose MeloTTS over lingvo when License: MeloTTS is MIT, lingvo is Apache-2.0; Tags unique to MeloTTS: chinese, english, french, japanese; MeloTTS ships Docker support for self-hosted deployment; If your project requires support for a broad language range including less common languages like Japanese or Korean in a TTS solution.

### When should I choose lingvo over MeloTTS?

Choose lingvo over MeloTTS when License: lingvo is Apache-2.0, MeloTTS is MIT; Tags unique to lingvo: asr, machine-translation, nlp, research; Also covers Model Training; When needing flexibility to modify framework code or develop new custom ops.

### When should I avoid MeloTTS?

If your application's required languages are not covered by MeloTTS, such as Arabic or Russian. In situations where you need more customization options for TTS than what the library provides out-of-the-box.

### 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 MeloTTS or lingvo more popular on GitHub?

MeloTTS has more GitHub stars (7,551 vs 2,861). Stars measure visibility, not whether either tool fits your constraints.

### Are MeloTTS and lingvo open source?

Yes - both are open-source projects on GitHub (MeloTTS: MIT, lingvo: Apache-2.0).

### Where can I find alternatives to MeloTTS or lingvo?

GraphCanon lists graph-backed alternatives at [MeloTTS alternatives](/tools/myshell-ai-melotts/alternatives) and [lingvo alternatives](/tools/tensorflow-lingvo/alternatives) ([MeloTTS markdown twin](/tools/myshell-ai-melotts/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/myshell-ai-melotts-vs-tensorflow-lingvo.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, MeloTTS or lingvo?

MeloTTS: Dormant. 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 MeloTTS and lingvo?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [MeloTTS trust report](/tools/myshell-ai-melotts/trust); [lingvo trust report](/tools/tensorflow-lingvo/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=myshell-ai-melotts`](/api/graphcanon/graph?tool=myshell-ai-melotts)
- 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/_
