Get started with LeapView

Choose a starting point for authoring analytics, operating a server, or contributing to LeapView. The source-checkout tutorial then walks through a validated dashboard change.

Choose your starting point

  • Author analytics: install a published alpha authoring CLI, then follow the analytics development workflow. leapview init creates Sales overview, a small synthetic project. The CLI manages a checkout-scoped local Docker runtime; no LeapView source checkout or contributor toolchain is required.
  • Operate a server: follow Installation for the Compose package and its external PostgreSQL/DuckLake and storage setup. A normal server image does not pre-deploy the repository showcase.
  • Change LeapView itself: follow the contributor setup, then Build your first dashboard. That tutorial uses the source checkout's Olist-backed Executive Sales project, which is separate from the CLI starter.

Read Project structure to understand the six portable resource kinds. Published packages are alpha software for controlled evaluation; package availability does not qualify every host or workflow. The authoring guide separates current branch behavior from released package evidence.

What you will learn

By the end of the tutorial, you will have practiced the complete local authoring loop:

  1. Establish a known-good sample dashboard.
  2. Trace presentation fields back to their semantic definitions.
  3. Make a small change without breaking stable resource identities.
  4. Validate the complete resource graph.
  5. Deploy to the development target and verify interactive behavior.

The tutorial optimizes for a successful first experience. After completing it, use the task-oriented Build dashboards guides for real project work and Reference for exact resource fields, CLI flags, API operations, and visual contracts.

Explore by goal

The project source and issue tracker are available on GitHub.