Redash

License: BSD-2-Clause

Overall rating

6.8

Stars: 26274

Contributors: 392

Redash is a powerful data visualization and collaboration tool designed to help you make sense of your data. With its user-friendly interface, Redash allows users to easily query data from various sources, create insightful dashboards, and share findings with their teams. This facilitates data-driven decision-making across organizations. Redash supports a wide range of databases and integrates seamlessly, providing the flexibility needed to connect and visualize data efficiently. It also emphasizes collaborative data analysis, enabling teams to work together and derive meaningful insights from their data.

Key Features

  • Browser-based: Everything in your browser, with a shareable URL.
  • Ease-of-use: Become immediately productive with data without the need to master complex software.
  • Query editor: Quickly compose SQL and NoSQL queries with a schema browser and auto-complete.
  • Visualization and dashboards: Create beautiful visualizations with drag and drop, and combine them into a single dashboard.
  • Sharing: Collaborate easily by sharing visualizations and their associated queries, enabling peer review of reports and queries.
  • Schedule refreshes: Automatically update your charts and dashboards at regular intervals you define.
  • Alerts: Define conditions and be alerted instantly when your data changes.
  • REST API: Everything that can be done in the UI is also available through REST API.
  • Broad support for data sources: Extensible data source API with native support for a long list of common databases and platforms.
Activity

Last update: Oct 29, 2024

  • Commits (last week)

    0

  • Resolved issues (last week)

    0

  • Merged PRs (last week)

    0

Maturity

Last update: Oct 29, 2024

  • Age

    11 years 4 days

  • Stability

    STABLE

Information

Funding

Unknown

Programming languages

Python
JavaScript
TypeScript

Tags

redash
python
visualization
analytics
bi
redshift
bigquery
athena
mysql
postgresql
dashboard
javascript
business-intelligence
databricks
spark
spark-sql
hacktoberfest