itsaplan vs plane

Project planning and issue tracking compared

itsaplan and plane both provide project planning and issue tracking, with self-hosting options. itsaplan centers on shared work between people and AI agents, while plane focuses on planning features such as cycles, modules, Pages, and analytics, with a hosted service option.

itsaplanplane
LanguageTypeScriptTypeScript
LicenseAGPL-3.0AGPL-3.0
Stars2k60.3k
Forks2576k
Last analyzedOct 26, 2026Oct 3, 2026

Key differences

  • itsaplan adds AI agents as project members and supports agent runs; plane describes issue tracking and planning without that agent workflow.
  • itsaplan offers Kanban, table, timeline, and calendar views, plus custom fields and issue links; plane highlights cycles, modules, saved views, Pages, and analytics.
  • itsaplan provides a REST API, webhooks, and an MCP server; plane's listed features focus on its workspace and planning tools.
  • Both use TypeScript and AGPL-3.0. itsaplan is built with Mastra for AI-agent capabilities, while plane describes a React Router and Django-based application.
  • Both can be self-hosted with Docker Compose; plane also provides Kubernetes deployment guides, while itsaplan documents Docker Compose and Helm.
  • itsaplan warns that breaking changes may occur before its first stable release; plane's supplied considerations focus on deployment, licensing, and checking workflow fit.

Choose itsaplan if you…

  • want AI agents to join projects, receive assignments, and run tasks alongside people.
  • need REST API, webhooks, or MCP access to manage and connect work.
  • prefer views such as timelines and calendars, or want to keep project data and AI provider credentials on infrastructure you control.
Read the itsaplan analysis →

Choose plane if you…

  • need a hosted service option as well as self-hosting.
  • want planning tools centered on cycles, modules, Pages, and analytics.
  • prefer deployment guidance for Docker Compose or Kubernetes.
Read the plane analysis →

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This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.