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Productivity & collaboration

activitywatch · In-depth Guide

productivity / collaboration in Productivity & Collaboration: Python, MPL-2.0, GitHub stars 19.5k

¥1.9 一次性

About this listing

Problem: gathers tasks, plans and collaboration context into one place, focused on 统计分析. Audience: individuals and small teams. Stack & setup: Python, sign up or run locally, and check data export and member permission models, difficulty low. 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

LicenseMPL-2.0
Primary languagePython
Platform / topicsGitHub · activitywatch · afk · analytics
GitHub stars19.5k
Last push2026-11-01
Sourcehttps://github.com/ActivityWatch/activitywatch
Homepagehttps://activitywatch.net/
Docshttps://github.com/ActivityWatch/activitywatch#readme
Demohttps://activitywatch.net/
Verified at2026-11-04

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 11 个章节:

  1. 一句话定位
  2. 公开事实元数据(抓取时快照)
  3. 1. 解决什么问题
  4. 2. 适用人群
  5. 3. 技术栈与部署门槛
  6. 4. 与同类项目的差异
  7. 5. 已知短板与风险
  8. 上手路径建议
  9. 选型自检 3 问
  10. 30 分钟验货清单
  11. 合规与使用边界

Compatibility

Primary languagePython
Platform / topicsactivitywatch · afk · analytics
LicenseMPL-2.0

FAQ

买到的是什么形式?

一份 Markdown 交付文件,含 11 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:2026-11-01,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。

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