OSS Tanbou

manage governed metrics, dashboards, and AI analytics as code from dbt or YAML

About these scores

OSS scale score is an unbounded metric that log-compresses and weights Stars, Watchers, Forks, and Contributors. Discovery score is the current OSS scale score minus the score at discovery. Update pace is commits in the last 30 days, growth momentum is the OSS scale score difference within the recent observation window, and OSS health is a 0–100 rating based on available recency, Community Health, and release data.

Stars
6,168
Primary language
TypeScript
License
Not determined
Repository last updated
Sep 30, 2026
On this page

Overview

manage governed metrics, dashboards, and AI analytics as code from dbt or YAML

Features and best fit

Based on official documentation; not hands-on tested · Content checked:

Key features

Key characteristics

manage governed metrics, dashboards, and AI analytics as code from dbt or YAML

Sources: [1]

Best fit

Good fit for

A comparison candidate for Data Analysis, Enterprise Apps, Self-hosted, Analytics engineering, Data visualization, dbt use cases. Check the official README and installation instructions for exact fit and requirements.

Before adoption

Check before adopting

The registered primary language is TypeScript and the license is NOASSERTION. Verify version-specific runtime requirements, breaking changes, and additional dependencies in the official README and latest release notes.

Sources: [1]

Official sources

  1. [1]lightdash/lightdash — GitHub(2026-09-15)
Supplemental curator note

Lightdash moves metrics, joins, permissions, and other analytics definitions into code so teams can preview and review changes through the CLI, CI, and pull requests. The open-source core is MIT, while packages/backend/src/ee uses a separate Source Available License.

Try it in 3 steps

  1. 1

    Clone Lightdash

    Fetch the official repository for the self-hosted/local setup.

    git clone https://github.com/lightdash/lightdash.git && cd lightdash
  2. 2

    Run the official installer

    Let the installer check the OS and Docker environment, then configure and start the Docker Compose stack.

    ./scripts/install.sh
  3. 3

    Open Lightdash

    Open the default local UI and connect a warehouse/dbt project to explore metrics and dashboards.

    Open http://localhost:8080
Check the official README

Growth

Growth trends · Last 30 days

6,168 Stars

Trend data is still being collected.

Built with

Categories and tags

GitHub data

GitHub dataView detailed GitHub data

GitHub Topics

  • business-intelligence
  • data-analytics
  • data-visualization
  • dbt
Stars
6,168
Forks
787
Watchers
35
Open issues
1,058
Owner type
Organization
Primary language
TypeScript
License
Not determined
Repository last updated
Sep 30, 2026
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