AI & LLMs
TTS · Source Watch
frontend / site building in AI & LLMs: Python, MPL-2.0, GitHub stars 46.2k
About this listing
- Role: frontend / site building for frontend developers and site builders
- Stack: Python; difficulty low-medium
- License: MPL-2.0 (file-level copyleft)
- Source: GitHub · fetched 2026-11-02
- Activity: no push for about 2 years, maintenance is uncertain
Problem: provides UI components or site scaffolding to cut repeated layout and interaction work, focused on Python. Audience: frontend developers and site builders. Stack & setup: Python, install against the matching framework version and run the example before integration, difficulty low-medium. Difference: public stars are above 1k, showing at least one round of community validation. Risk: MPL is file-scoped: modified files stay open, new files can carry other terms.
A licensed delivery file is generated after payment and downloadable from the delivery page.
Public fact metadata
| License | MPL-2.0 |
|---|---|
| Primary language | Python |
| Platform / topics | GitHub · deep-learning · glow-tts · hifigan |
| GitHub stars | 46.2k |
| Last push | 2024-08-16 Likely unmaintained |
| Source | https://github.com/coqui-ai/TTS |
| Homepage | http://coqui.ai |
| Docs | https://github.com/coqui-ai/TTS#readme |
| Demo | http://coqui.ai |
| Verified at | 2026-11-04 |
Fact fields come from public sources; timestamps are shown above. Missing fields are marked unknown and never guessed.
What you get
1 份 Markdown 交付文件，共 9 个章节：
- 一句话定位
- 公开事实元数据（抓取时快照）
- 1. 解决什么问题
- 2. 适用人群
- 3. 技术栈与部署门槛
- 4. 与同类项目的差异
- 5. 已知短板与风险
- 上手路径建议
- 合规与使用边界
Compatibility
| Primary language | Python |
|---|---|
| Platform / topics | deep-learning · glow-tts · hifigan |
| License | MPL-2.0 |
Before you buy
FAQ
买到的是什么形式？
一份 Markdown 交付文件，含 9 个章节（一句话定位 / 公开事实元数据（抓取时快照） / 1. 解决什么问题 / 2. 适用人群 等），付款后生成带授权码的下载文件。
许可证是否允许商用？
元数据记录为 MPL-2.0；具体商用范围以原仓库 LICENSE 原文为准，本店不额外授予权利。
项目还在维护吗？
最近一次上游提交：2024-08-16（已标记停更），数据抓取时间 2026-11-04。
需要什么运行环境？
主要语言 Python；其余依赖以包内依赖清单为准。
Comparison
| 商品 | 价格 | License | Last push |
|---|---|---|---|
| coze-studio · 生态位观察 | ¥2.9 | Apache-2.0 | 2026-07-29 |
| machine-learning-for-trading · 项目档案 | ¥2.9 | MIT | 2026-11-03 |
| FinGPT · 上手避坑卡 | ¥2.9 | MIT | 2026-10-25 |