# lightdash/lightdash

Agentic BI. Analytics at the speed of code ⚡️

Repository: https://github.com/lightdash/lightdash
Canonical: https://ross.abutalabs.com/products/lightdash
Homepage: https://lightdash.com
Language: TypeScript
License: NOASSERTION
License Family: other
Topics: dbt, data-visualization, data-analytics, business-intelligence
Last push: 2026-08-26T23:29:13+00:00

## Health v2 (maintenance only)
Score: 95/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 99, release rhythm 87, longevity 100
- inputs: {"age_days": 1993, "days_push": 7, "days_rel": 7, "gap_med": 0, "n_releases_24m": 4836}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 6084, forks 770 (observed 2026-08-28T04:09:34.895578+00:00)

## What it is
Lightdash is an open-source, agentic business intelligence platform that lets data teams define governed metrics, dashboards, AI agents, and data apps from a dbt- or YAML-based context layer. It supports BI-as-code workflows via Git, CI, CLI, and MCP, plus embedded analytics and conversational analytics with permission-aware AI agents.

## Use cases
- build dashboards and charts as code from a dbt project
- let business users ask questions in plain English about governed data
- embed analytics dashboards in a customer-facing product
- review and validate analytics changes in pull requests and CI
- self-host a BI tool with no per-seat pricing
- build custom data apps and reports from a prompt
- connect AI agents to a governed semantic layer via MCP

## When to choose
- your team uses dbt and wants metrics defined once in a semantic layer
- you want BI versioned in Git with CI validation and code review
- you need self-hosted or open-source BI without per-seat licensing
- you want AI agents answering data questions with permissions and inspectable queries
- you need embedded analytics with row-level security in your own product

## When to avoid
- you need a lightweight charting library to embed directly in frontend code
- your data does not live in a SQL warehouse supported by dbt
- you want a simple spreadsheet-style BI tool without a semantic layer
- you cannot operate a self-hosted service and do not want a paid cloud plan

## Facets
- artifact type: application
- maturity: active
- function: data-visualization, analytics, rag, chatbot, mcp, api-framework, self-hosted, developer-tools
- domain: data-visualization, analytics, large-language-models, self-hosted
- platform: self-hosted, cloud
- tags: business-intelligence, bi-as-code, dbt, semantic-layer, agentic-bi, dashboards, data-apps, embedded-analytics, conversational-analytics, data-engineering, web-server, docker, nodejs, typescript

## Member repositories
- lightdash/lightdash (main) score 95

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:34.895578+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:48:19.545368+00:00, confidence not recorded.
  - readme: https://github.com/lightdash/lightdash (fetched 2026-08-28T04:09:34.895578+00:00, sha 61f55d06dd21)
  - homepage: https://lightdash.com (fetched 2026-08-29T08:45:13.461979+00:00, sha b8ac0851a0a6)
  - site_page: https://www.lightdash.com/pricing (fetched 2026-08-29T08:45:13.470866+00:00, sha 4a49ddb677f5)
- Data as of 2026-08-30T08:39:29.467469+00:00.