explaingit

getredash/redash

★ 28,581PythonAudience · pm founderComplexity · 4/5ActiveLicenseSetup · hard

TLDR

Open-source business intelligence tool that connects to your databases, lets you write queries, and turns results into shareable dashboards and charts, no coding required for non-technical users.

Mindmap

mindmap
  root((Redash))
    What it does
      Query databases
      Build dashboards
      Create alerts
      Share results
    Data sources
      SQL databases
      Cloud platforms
      35+ connectors
    Key features
      Browser-based editor
      Auto-refresh schedules
      REST API
      Schema browser
    Use cases
      Data exploration
      Team reporting
      Threshold monitoring
      Self-hosted BI

Things people build with this

USE CASE 1

Build interactive dashboards from your company's databases and share them with non-technical team members via URL.

USE CASE 2

Set up automated alerts that notify you when key metrics cross a threshold you define.

USE CASE 3

Explore data interactively using the query editor with autocomplete, without writing code from scratch.

USE CASE 4

Integrate Redash dashboards and queries into other business tools using the REST API.

Tech stack

PythonSQLREST APIPostgreSQLMongoDBElasticsearch

Getting it running

Difficulty · hard Time to first run · 1day+

Requires PostgreSQL backend, multiple database connectors, and API service orchestration to see functional dashboards.

Use freely for any purpose, including commercial use, as long as you include the original copyright notice and license text.

In plain English

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.

Copy-paste prompts

Prompt 1
How do I set up Redash to connect to my PostgreSQL database and create my first dashboard?
Prompt 2
Show me how to write a SQL query in Redash that groups sales by region and visualizes it as a bar chart.
Prompt 3
How do I set up an alert in Redash that emails me when daily revenue drops below $10,000?
Prompt 4
What's the best way to use Redash's REST API to embed a dashboard into my internal web app?
Prompt 5
How do I add a new data source like Snowflake to my Redash instance?
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Generated 2026-05-18 · Model: sonnet-4-6 · Verify against the repo before relying on details.