Analysis updated 2026-06-20
Connect Redash to your PostgreSQL or MySQL database and build a live sales dashboard that refreshes on a schedule for non-technical stakeholders.
Share a query result with teammates via a URL without giving them direct database access.
Set up an alert that sends a notification when a key metric crosses a threshold, such as orders dropping below a daily minimum.
Combine data from multiple sources like SQL and Elasticsearch into a single unified dashboard view.
| getredash/redash | deepinsight/insightface | genesis-embodied-ai/genesis-world | |
|---|---|---|---|
| Stars | 28,556 | 28,609 | 28,625 |
| Language | Python | Python | Python |
| Setup difficulty | hard | moderate | hard |
| Complexity | 3/5 | 3/5 | 4/5 |
| Audience | data | researcher | researcher |
Figures from each repo's GitHub metadata at analysis time.
Self-hosted deployment requires Docker, a PostgreSQL database for Redash's own metadata, and a Redis instance, all must be running before the app starts.
Redash is an open-source business intelligence (BI) tool, software that lets you query your company's databases and turn the results into charts and dashboards that anyone in your organization can read, without needing to be a programmer. The goal is to make it easy for data analysts to explore data and share their findings with non-technical colleagues. The core workflow is: connect Redash to your data source, write a query (a question you ask the database, typically in SQL), visualize the result as a chart, and combine charts into a dashboard that auto-refreshes on a schedule. Dashboards and queries have shareable URLs so they can be bookmarked or sent to teammates. Redash also supports alerts, you can set a condition and get notified when your data crosses a threshold. Redash supports more than 35 data sources out of the box, covering a wide range of databases and cloud platforms including MySQL, PostgreSQL, MongoDB, Elasticsearch, Snowflake, BigQuery, Amazon Redshift, Databricks, and many others. Connecting a new source is done through a configuration form in the browser, no code required. The built-in query editor includes autocomplete and a schema browser so you can see what tables and columns are available. Everything is browser-based, and the REST API (a way for other programs to interact with Redash programmatically) exposes the same functionality so it can be integrated into other tools. The backend is written in Python, and it is self-hosted, you run your own instance on your own servers, keeping your data inside your organization. A hosted cloud version is also available from Redash.io. Licensed under BSD-2-Clause.
Open-source business intelligence tool that connects to your databases, lets you write SQL queries, and turns the results into charts and dashboards anyone in your team can read, no coding required to view results.
Mainly Python. The stack also includes Python, JavaScript, PostgreSQL.
BSD-2-Clause, free to use, modify, and redistribute for any purpose including commercial, as long as you keep the copyright notice.
Setup difficulty is rated hard, with roughly 1h+ to a first successful run.
Mainly data.
This repo across BitVibe Labs
Verify against the repo before relying on details.