Best open-source alternatives to Microsoft Power BI

Superset is a web-based business intelligence and data visualization platform aimed at analysts, business users, and teams that need to explore data without heavy coding. It provides a no-code chart builder, a SQL editor for advanced querying, a lightweight semantic layer, and a dashboarding workflow for turning connected data sources into interactive visual analytics. The project is designed to work with a wide range of SQL-speaking databases and engines, making it useful as a front end for heterogeneous data infrastructure. It also emphasizes extensibility through security roles, authentication options, caching, and an API for programmatic customization, which makes it suitable for enterprise deployments and scalable self-hosted usage.

Redash is a browser-based analytics and business intelligence tool aimed at people who want to explore data, build queries, and share insights without needing heavy technical tooling. It lets SQL users connect to many different data sources, write queries with assistance from a schema browser and auto-complete, and turn results into visualizations and dashboards. The project is designed for team use inside organizations, where reports and queries can be shared for peer review and broader consumption. It also supports scheduled refreshes, alerting, and a REST API so that the same capabilities available in the UI can be automated or integrated into other systems. Its broad built-in data source support makes it suitable for environments with diverse databases and platforms.

Evidence is an open-source reporting tool aimed at people who want to build business intelligence-style reports from code rather than drag-and-drop interfaces. It is positioned as an alternative to traditional BI products and is designed for developers and data teams that prefer SQL and markdown to define report content. The project supports local development through a command-line workflow and can be used with Evidence's Agent or other coding tools such as Claude Code and Cursor. Reports can be published either to Evidence Studio for hosted delivery or self-hosted as a generated static site, making it suitable for teams that want a programmable, deployable reporting workflow.

Metabase is an open-source analytics and business intelligence platform designed for people across an organization to explore data and answer questions without needing to write SQL. It is aimed at teams that want a self-service reporting layer with dashboards, alerts, documents, and embedded analytics on top of their databases. The project can be self-hosted or used through Metabase Cloud, with the README emphasizing quick setup and the option to switch between cloud and self-hosting. It connects to supported databases, offers an SQL editor for advanced analysis, supports permissions for teams and embedded use cases, and provides an API for integration. The repository also includes both the open-source edition and commercial editions under separate licensing.

Chartbrew is an open-source web application for building charts and dashboards from data stored in databases and APIs. It is aimed at users who want a self-hostable analytics and visualization tool that can turn external data sources into shareable visual outputs. The project supports connecting directly to databases and APIs, then using a chart builder and query/request editor to assemble dashboards and embedded charts. The README also mentions team capabilities, indicating it is suitable for collaborative use. It can be run locally for development or deployed via Docker, and the documentation provides more detailed setup and deployment guidance.

Shaper is an open source, self-hosted analytics product for building dashboards, reports, and customer-facing embedded analytics from SQL. It is aimed at teams that want to create and ship analytics experiences without relying on a traditional BI workflow, and it emphasizes a SQL-first approach that can also work with AI-assisted workflows. The project supports data visualization, embedded analytics, and automated reporting. Its README highlights features such as white-labeling, row-level security via JWT tokens, and embedding through JavaScript and React SDKs. It can also generate scheduled alerts and reports, and export results in PDF, PNG, CSV, and Excel formats. The software can be tried quickly with Docker, and production deployment guidance is provided in the documentation.

Edalitics is an open-source analytics and dashboarding platform designed to make data exploration and visualization accessible to both non-technical users and advanced analysts. It centers on a metadata-driven workflow where users first define a data model and then build reports and dashboards on top of it. The project appears aimed at teams or organizations that want a self-hostable BI-style tool with minimal coding. It supports no-code dashboard creation for simpler use cases, while also providing advanced SQL query capabilities and logical tree-based exploration for more technical users. The README also highlights controlled access with row-level security, public dashboard sharing, and email alerts, suggesting it is intended for collaborative internal analytics as well as externally shared reporting.