gitbi VS Redash

Compare gitbi vs Redash and see what are their differences.

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gitbi Redash
2 38
13 25,057
- 1.1%
7.8 9.5
5 months ago 1 day ago
Python Python
MIT License BSD 2-clause "Simplified" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

gitbi

Posts with mentions or reviews of gitbi. We have used some of these posts to build our list of alternatives and similar projects.

Redash

Posts with mentions or reviews of Redash. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-26.

What are some alternatives?

When comparing gitbi and Redash you can also consider the following projects:

Metabase - The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:

Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]

zillion - Make sense of it all. Semantic data modeling and analytics with a sprinkle of AI. https://totalhack.github.io/zillion/

dictum - Describe business metrics with YAML, query and visualize in Jupyter with zero SQL

plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!

superset - Apache Superset is a Data Visualization and Data Exploration Platform

cube.js - 📊 Cube — The Semantic Layer for Building Data Applications

ada - Accelerate your data analysis with AI.

bokeh - Interactive Data Visualization in the browser, from Python

merkury - Generate HTML reports from Python scripts

Druid - Apache Druid: a high performance real-time analytics database.