analytics

Super Productivity

Super Productivity is an advanced todo list app with integrated Timeboxing and time tracking capabilities. It also comes with integrations for Jira, GitLab, GitHub and Open Project.
21,528 stars1,973 forksTypeScriptUpdated 8/22/2026100% free · open source
What it does

Super Productivity is a desktop todo‑list app that lets you time‑box tasks, track time spent, and sync work items from Jira, GitHub, GitLab or OpenProject.

When to use it
  • Your team needs a single place to see tasks, log work hours, and keep those hours automatically linked to Jira tickets.
  • You want to run time‑boxing (Pomodoro‑style) directly on your task list without juggling separate timers.
  • You prefer an open‑source, self‑hosted alternative to paid project‑management tools.
Ready-to-paste prompt
npm run sync:jira -- --project MYPROJECT --since 2024-01-01
Heads up: You must run the app with Node >=18 and set the required env vars (e.g., `SP_JIRA_HOST` and `SP_JIRA_TOKEN`) before starting; otherwise the Jira integration will fail to authenticate.
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/super-productivity && curl -fsSL https://workflowstacks.com/api/skills/super-productivity/claude-skill -o ~/.claude/skills/super-productivity/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How Super Productivity works
Codeflow
Free to inspect

Super Productivity is a very large TypeScript project (~583k lines across 2653 code files, plus 543 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, MIT license, has a test suite.

Size
Very large codebase
~583k lines · 2653 code files · days to read — use, don't read
Setup
Developer setup
A real software project. Use it via its install path; don't expect to read it all.
Runs on
Node.js · Docker
Needs API keys (.env)
TypeScript 91%JavaScript 2%HTML 2%SCSS 2%Kotlin 1%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    AGENTS.md
    The instructions the AI actually follows
  3. 3
    src/main.ts
    Where the program starts running
  4. 4
    package.json
    Dependencies and the commands it exposes
  5. 5
    .env.example
    The API keys and settings you must provide
What's in each folder
src/Core code — the actual logic2718 files
packages/Sub-packages / plugins867 files
docs/Documentation136 files
android/Folder274 files
electron/Folder180 files
fastlane/Folder107 files
tools/Helper scripts45 files
ios/Folder22 files
READMEHas testsDocumentedCI checksDocker readyMIT licenseUpdated this month
Quick Actions
Details
Creator
super-productivity
Language
TypeScript
Category
analytics
Published
1/6/2017

Are you the creator of this tool? Claim your listing → and earn 85% of every sale.

Ready-to-run pack · one-time $29

Competitor Watch

Get emailed the moment a rival changes their price or pitch.

Includes the tested workflow and a written setup playbook. Needs: No extra API — just watches the pages you list.

See what you get