Open-source Klipfolio alternatives

Apache Superset is a data exploration and visualization platform that runs as a web application. Analysts and business users can connect it to a database, build charts without code, assemble them into dashboards and share them, so it can augment or replace proprietary business intelligence tools for many teams.

The no-code chart builder sits next to a web-based SQL editor for advanced queries, and a lightweight semantic layer lets teams define reusable dimensions and metrics. Visualizations range from simple bar charts to geospatial views. Superset can query any SQL datastore or engine provided a matching Python database driver and SQLAlchemy dialect exist, including Presto, Trino and Athena. A configurable caching layer reduces database load, and security roles and authentication options are extensible.

The stack is Python with Flask on the back end and React on the front end, under the Apache-2.0 license. A REST API and extension framework allow programmatic control and customization. Documentation is split into guides for users, administrators and developers, and it is a typical choice for organizations that want a self-managed BI layer.

Metabase is an open-source business intelligence and embedded analytics tool meant for everyone in a company, not only analysts. People can ask questions about their data without knowing SQL, while an SQL editor is available for more complex queries. Written in Clojure, it connects to databases such as PostgreSQL and MySQL.

Its features include interactive dashboards with filters, auto-refresh and custom click behavior, plus documents for long-form analysis that colleagues can comment on. An AI assistant called Metabot helps answer questions and write queries, and you can build your own AI agent against your data. Data Studio supports transforming raw data into analytics-ready tables and defining canonical metrics. Alerts and scheduled dashboard subscriptions go to email, Slack or a webhook, and a Library plus Git integration help version your work.

Metabase can also be embedded in your own product with components for charts, dashboards, a data browser and AI chat, and granular permissions work for internal teams and embedded customers. You can self-host it or use Metabase Cloud, which the project says includes support, backups, upgrades and a free trial. The repository license is listed as 'Other', so review its terms.

Redash is an open-source business intelligence and data exploration tool that works entirely in the browser. SQL users connect it to a data source, write queries, turn results into visualizations and share them, so that colleagues without SQL skills can use the results too.

The query editor accepts both SQL and NoSQL queries and offers a schema browser plus auto-complete. Visualizations are built by drag and drop and can be combined into dashboards, and every chart or query has a shareable URL that supports collaboration and peer review. Charts and dashboards can refresh on a schedule, and alerts can notify you when results cross a threshold. Topics mention many sources, including Redshift, BigQuery, Athena, MySQL, PostgreSQL and Databricks.

Redash is written in Python and JavaScript and licensed under BSD-2-Clause. You deploy it on your own infrastructure, commonly with Docker, and it is aimed at analysts and engineers who want a lightweight, query-first dashboard tool rather than a heavy BI suite.

Chartbrew is an open-source web application that connects directly to databases and APIs and uses the data to build charts and dashboards. Its tools include a chart builder, editable dashboards, embeddable charts, a query and request editor and team features for sharing reports.

The platform also includes an AI assistant and scheduling, and its topics reference MySQL, PostgreSQL, MongoDB, Firestore and Firebase as data sources, with the latest list of supported sources on the project website. To self-host, the README lists Node.js 22 or newer, MySQL 5 or PostgreSQL 12.5 or newer, and Redis 6 or newer as prerequisites. The front end uses React and the back end Node.js.

A hosted Chartbrew service is available, and the repository license is listed as 'Other' on GitHub, so check the terms for your use. Chartbrew suits agencies, startups and teams who want shareable client dashboards without building a BI stack.

Frappe Insights is an open-source business intelligence tool that aims to make data analysis and reporting accessible to both technical and non-technical users. It grew out of the experience of working with Frappe Framework applications, where building structured data was easy but extracting reports usually required SQL knowledge.

You can connect multiple sources, including databases, files and spreadsheets, and use a step-by-step query builder to select tables, add joins, apply filters and calculations without writing SQL. Results can be visualized with various charts, with the tool suggesting a fitting chart, and dashboards are assembled by drag and drop with dashboard filters. Supported databases include MySQL, PostgreSQL, DuckDB and BigQuery. A SQL editor is also available.

Insights is built on the Frappe Framework, Frappe UI with Vue, and the Ibis library for composing SQL with dataframe APIs. It is written in Python, licensed under AGPL-3.0, and can be self-hosted, with a live demo and documentation. It suits ERPNext and Frappe users as well as teams wanting a lightweight BI tool.