Open-source Mode 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.

Evidence is a code-first business intelligence tool, released as open source, offered in place of drag-and-drop BI products. Reports and dashboards are written as Markdown with SQL queries, which keeps them in version control and lets analysts build interactive data visualizations without a point-and-click builder.

The README calls it agent-ready: you can develop with Evidence's own agent, or locally with coding assistants such as Claude Code or Cursor. Topics mention dbt, DuckDB, Svelte, Tailwind CSS, WebAssembly and self-hosting. A project is created from an installer for macOS, Linux or Windows, and the result can be published on Evidence Studio for hosted reports, or built as a static site and self-hosted on your own infrastructure.

Evidence is written in TypeScript with Svelte and licensed under MIT, and has a Slack community for help. It suits data teams and analysts who are comfortable with SQL and want reports reviewed and deployed like software, rather than assembling dashboards in a GUI.

Apache Zeppelin is a web-based notebook for interactive data analytics. You build data-driven, collaborative documents using SQL, Scala and other languages, and the notebook-style editor supports real-time collaboration between users.

Core features include support for many languages through a pluggable interpreter architecture with process isolation, including Spark, Flink, Python, SQL and Shell and more than 20 interpreters, built-in visualization and dynamic forms, and notebook scheduling with cron. Flexible deployment options are local, Docker, Kubernetes and YARN. Topics place it in the big data ecosystem alongside Spark, Flink, NoSQL and databases.

Zeppelin is an Apache Software Foundation project written in Java and JavaScript and licensed under Apache-2.0. You install it from a binary package or build from source, with user guides, mailing lists and a Jira issue tracker. It suits data engineers and analysts who work on cluster-based data platforms and want shareable, scheduled notebooks.

organice is an implementation of Org mode that runs in the browser instead of Emacs. Org mode is a plain-text system for notes, task lists and project planning, and organice makes it usable on phones and desktops as a progressive web app, for people who like the format but do not want to depend on Emacs.

The project is tagged for productivity and project management, and its homepage presents it as a way to keep your life nicely organized. Little more detail was available in the source material, so specifics about supported syncing services and features are best confirmed in the project documentation.

organice is written in JavaScript and licensed under AGPL-3.0, so modified versions offered over a network must share their source. It suits Org mode users who want access to their files from a phone or any browser.

Briefer combines notebooks and dashboards in a single product, aimed at technical users who need the flexibility of code for analysis while making results easy for non-technical colleagues to view and interact with. It is described by its creators as similar to Notion, but built for code notebooks and dashboards rather than general documents.

Users can create notebooks and dashboards combining Markdown, Python, SQL and native visualizations, build interactive data apps with inputs, dropdowns and date pickers, generate code and queries with an AI that understands the connected database schema, schedule notebooks and dashboards to refresh periodically, and create write-back pipelines for testing changes against data. It also supports real-time multiplayer editing so multiple people can work on the same notebook or dashboard together.

The README states that Briefer has been acquired by Resend, with further updates referenced in the project's blog. It can be run locally by installing it with pip, which requires Docker, or used through a hosted cloud version; it is released under the AGPL-3.0 license and lists PostgreSQL among its supported data sources.