Best Open-Source Business Intelligence Dashboard Tool
4 open-source options compared for business intelligence dashboard tool, with live GitHub data on each.
Last updated Repo data refreshed 25 Oct 20264 options
Our pick · superset
Our pick is Apache Superset for teams seeking the best overall open-source BI dashboard tool, offering powerful data visualization and exploration, high scalability, and extensive customization capabilities under an Apache-2.0 license. Its robust feature set, broad data source support, and fine-grained security suit almost any enterprise-level requirement, ensuring long-term viability despite a steeper learning curve and setup complexity. For teams prioritizing ease of use and rapid adoption by non-technical users, Metabase, an easy-to-use business intelligence and embedded analytics tool with an open-core: open-source core, enterprise code under a separate licence, provides a simpler experience. Lightdash, an agentic BI tool for analytics at the speed of code, offers a modern solution for dbt-heavy teams, also under an open-core: open-source core, enterprise code under a separate licence.
Superset vs Metabase vs Redash vs Lightdash: side by side
★ 75,296 starsLicence: Apache-2.0Last commit 25 Oct 2026Latest release 13 May 2026Python
Apache Superset is a modern, enterprise-ready business intelligence web application designed for exploring and visualizing data with a wide array of charts and dashboards.
Best for: Data-savvy teams and large enterprises needing a highly scalable, customizable, and feature-rich BI platform with robust security and integration capabilities.
What's good
Highly scalable and robust, capable of handling very large datasets and numerous concurrent users.
Extensive range of visualization options and highly customizable dashboards.
Strong support for a multitude of database connectors and a powerful SQL Lab for direct query writing.
Fine-grained security features and access control, suitable for complex enterprise environments.
Watch out for
Steeper learning curve, especially for non-technical users who may find the interface initially overwhelming.
Can be complex to set up and configure, often requiring more operational and data engineering expertise.
Dashboard creation can feel less intuitive and more time-consuming compared to simpler tools.
Metabase is an open-source business intelligence tool that allows non-technical users to ask questions and create dashboards from their data with ease.
Best for: Small to medium-sized teams and companies prioritizing ease of use and self-service analytics for non-technical business users.
What's good
Exceptional user-friendliness, making data exploration accessible for business users without SQL knowledge.
Powerful visual query builder (Notebook Editor) simplifies complex data requests.
Quick setup and deployment with good out-of-the-box data source connectors.
Clear and interactive dashboards that are easy to share and embed.
Watch out for
Limited advanced customization options for specific chart types or complex data transformations directly within the UI.
Scalability can become a concern for very large datasets or high concurrency without careful database optimization.
Some advanced governance and auditing features are reserved for the paid Enterprise edition.
Redash provides a browser-based SQL editor, query scheduler, and a simple dashboarding interface to easily share data insights with a team.
Best for: Teams where data analysts and engineers are comfortable with SQL and need a collaborative platform primarily for querying, sharing results, and building straightforward dashboards.
What's good
Excellent for SQL-first teams, offering a powerful query editor, version control for queries, and easy parameterization.
Relatively lightweight and straightforward to deploy compared to more comprehensive BI platforms.
Good for rapidly sharing specific query results and creating basic, functional dashboards.
Broad support for various data sources and an active community.
Watch out for
Dashboarding capabilities are more basic and less visually sophisticated than competitors like Metabase or Superset.
Visualization options are not as extensive or customizable, focusing more on functional display.
The project's independent development pace slowed somewhat after its acquisition by Databricks, though it remains maintained.
Lightdash is an open-source BI tool built on top of dbt, transforming dbt models directly into self-serve dashboards and metrics for business users.
Best for: Data teams deeply invested in dbt and following the modern data stack, looking to extend their dbt semantic layer directly into a self-serve BI tool for business users.
What's good
Native integration with dbt (data build tool), allowing metrics and definitions to be standardized in dbt and used consistently in Lightdash.
Strong focus on data governance and consistency by leveraging dbt's semantic layer.
Modern user interface designed for the modern data stack, providing a clean experience.
Empowers business users to explore dbt-defined metrics without needing to write SQL.
Watch out for
Requires dbt as a core component, which can be a prerequisite barrier if not already in use by the team.
As a newer project, its feature set is still evolving and may lack some of the advanced capabilities of more mature tools.
The community and ecosystem are smaller compared to more established projects like Superset or Metabase.
"Dormant" means no commit pushed to the default branch in the last 12 months. "Archived" means the maintainers have marked the repository read-only on GitHub. "Deprecated" means the project's README says it is deprecated or no longer maintained. Stars, licence, commit and release dates come from the GitHub API (GitLab for projects developed there) and are cached for up to 24 hours. On licences: a custom licence is a licence file that isn't a single standard licence; open-core means the core is open-source and the enterprise code is licensed separately. Check the linked licence file before use. The written analysis is AI-assisted and checked against that data.
Frequently asked questions
Are Superset, Metabase, Redash and Lightdash actively maintained?
Superset, Metabase, Redash and Lightdash are active: each has had a commit in the last 12 months (most recent: Superset on 25 Oct 2026, Metabase on 25 Oct 2026, Redash on 24 Oct 2026, Lightdash on 24 Oct 2026). Status is checked against GitHub daily.
What licences do Superset, Metabase, Redash and Lightdash use?
Superset: Apache-2.0; Metabase: AGPL core + commercial enterprise/ (open-core); Redash: BSD-2-Clause; Lightdash: MIT core + commercial enterprise code (open-core). Check each project's licence file before use.
Which is easiest to learn: Superset, Metabase, Redash or Lightdash?
By our estimate (1 = easiest, 5 = steepest): Superset 3/5, Metabase 2/5, Redash 2/5, Lightdash 3/5. Metabase and Redash share the gentlest learning curve. This is ExploreGit's AI-assisted estimate, not a measured figure.
