RankGlide documentation

RankGlide turns structured data into animated ranking visualizations that you can publish and embed. Work normally follows four steps:

1. Choose a workspace for ownership, access, and billing.
2. Create a project to keep related data, assets, and visualizations together.
3. Define columns and add rows containing the values you want to compare.
4. Build, preview, and publish a visualization.

Start here

• Workspaces explains membership, roles, plans, and settings.
• Projects explains how a project organizes your work.
• Data covers columns, rows, series, CSV import, and export.
• Visualizations covers editing, previewing, publishing, embedding, and thumbnails.
• MCP explains how eligible workspaces connect supported AI clients.

A useful workflow

Create the project structure before importing a large data set. Add the columns and calculated values you need, import or enter rows, and then create a visualization. Preview the result at several playback positions before publishing it. If the visualization will be embedded elsewhere, configure its embed settings and allowed origins after publishing.

Changes stay associated with their workspace and project. Your role and workspace plan determine which management, collaboration, analytics, and automation features are available.