Data & analytics

TTS · Comparison Card

dashboard / admin in Data & Analytics: Jupyter Notebook, MPL-2.0, GitHub stars 10.2k

¥1.9 一次性 Likely unmaintained

Likely unmaintained：Last push is more than 12 months ago. Treat it as possibly unmaintained rather than an active project.（Last push：2023-11-09）

About this listing

Role: dashboard / admin for operators, product managers and admins who review numbers and run tasks
Stack: Jupyter Notebook; difficulty medium
License: MPL-2.0 (file-level copyleft)
Source: GitHub · fetched 2026-11-02
Activity: no push for about 3 years, maintenance is uncertain

Problem: consolidates scattered metrics and actions into one screen, focused on Python. Audience: operators, product managers and admins who review numbers and run tasks. Stack & setup: Jupyter Notebook, install dependencies, configure the database and env vars, then run it long-term via a process manager or container, difficulty 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	Jupyter Notebook
Platform / topics	GitHub · dataset-analysis · deep-learning · gantts
GitHub stars	10.2k
Last push	2023-11-09 Likely unmaintained
Source	https://github.com/mozilla/TTS
Homepage	unknown (not verified)
Docs	https://github.com/mozilla/TTS#readme
Demo	unknown (not verified)
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	Jupyter Notebook
Platform / topics	dataset-analysis · deep-learning · gantts
License	MPL-2.0

Before you buy

该项目最近一次提交距今较久，页头已标记「已停更」，购买前请确认是否仍满足你的使用需求。

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：2023-11-09（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 Jupyter Notebook；其余依赖以包内依赖清单为准。

Comparison

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