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getredash/redash

Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.

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getredash/redash has 28k+ stars and 4.5k+ forks on GitHub, is written in Python, and was last pushed on Oct 16, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 50 minutes ago
Type:Server / PlatformCategory(s):Analytics & BIData Pipelines & ETL/ELTData Engineering & Analytics
Added to GitGenius on January 5th, 2025
Created on October 28th, 2013
Open Issues & Pull Requests: 817 (+0)
GitHub issues: Enabled
Number of forks: 4,635
Total Stargazers: 28,839 (+1)
Total Subscribers: 567 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 23.0 days
Mean response time: 587.7 days
90th percentile: 2142.6 days
Tracked items: 229

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Maintainer activity

3 people did triage or write work on this repository in the last 12 months.

Counts unlabeled, assigned, unassigned, milestoned, demilestoned, locked, unlocked over the last 12 months. These are issue and pull request events that require triage or write permission. Commits and code review are not counted. labeled and renamed are excluded because GitHub issue forms record the issue author as the actor. Figures from October 18, 2026. This count is not comparable across projects: each project's automation decides which of these events a person emits. How this is counted.

How this project is maintained

Roughly one issue in two opened in the past year never receives a reply. 82% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Work labelled "Support Question" is answered fastest, typically in about 31 hours, while "Backend" waits about 68 months. Only 33% of issues opened in the past year have been closed. Three people close 56% of everything that gets resolved.

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Issue Activity (beta)

Open issues: 255
New in 7 days: 1
Closed in 7 days: 1
Avg open age: 1,549 days
Stale 30+ days: 246
Stale 90+ days: 234

Recent activity

Opened in 7 days: 1
Closed in 7 days: 1
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • Frontend (183)
  • Bug (118)
  • Backend (72)
  • Support Question (60)
  • UX (41)
  • enhancement (31)
  • help wanted (29)
  • Visualizations (20)

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Detailed Description

Redash is an open-source business intelligence and data visualization platform written primarily in Python that enables organizations to connect to multiple data sources, query data, create visualizations, and build collaborative dashboards. The platform is designed to democratize data access by allowing both technical SQL users and non-technical team members to explore and share insights without requiring specialized software expertise.

The core functionality centers on a browser-based interface where users can write SQL and NoSQL queries using a built-in query editor with schema browsing and auto-complete capabilities. Once data is queried, users can create visualizations through a drag-and-drop interface and combine multiple visualizations into unified dashboards. All work is shareable via URLs, enabling team collaboration and peer review of both queries and reports. The platform includes scheduling capabilities for automatic chart and dashboard refreshes at user-defined intervals, as well as alert functionality that notifies users when specified data conditions are met.

Redash's data source support is exceptionally broad, with native integration for more than 35 SQL and NoSQL databases and platforms. The supported sources span major cloud data warehouses including Amazon Redshift, Google BigQuery, Snowflake, and Databricks, as well as traditional databases like PostgreSQL, MySQL, Oracle, and Microsoft SQL Server. The platform also connects to specialized systems including Elasticsearch, MongoDB, Apache Spark, ClickHouse, and numerous others, with an extensible API allowing custom data source implementations.

A REST API provides programmatic access to all functionality available through the user interface, enabling integration with external systems and automation of data workflows. The platform is distributed under the BSD-2-Clause license and includes ready-made deployment images for AWS and Google Cloud Engine, alongside comprehensive documentation and local development setup guides.

The most frequently labeled issues fall into Support Question, Bug, and Frontend categories. Core contributors justinclift, eradman, and yoshiokatsuneo drive the majority of triage and development activity.

The platform serves millions of daily users across thousands of organizations globally, positioning it as a widely-adopted solution for enabling data-driven decision-making across enterprises of varying technical sophistication levels.