csv-metabase-driver VS Redash

Compare csv-metabase-driver vs Redash and see what are their differences.

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csv-metabase-driver Redash
1 38
181 24,917
- 1.0%
0.0 9.5
over 1 year ago 5 days ago
Clojure Python
- 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.

csv-metabase-driver

Posts with mentions or reviews of csv-metabase-driver. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-28.
  • Open source Business intelligence platform made with Python
    7 projects | news.ycombinator.com | 28 Nov 2021
    there is a csv driver[1] which allows you map a csv file on the metabase server, or providing a url of the csv. But I guess most people (including myself) would think of "upload csv file via UI" when it comes to csv support.

    [1] https://github.com/Markenson/csv-metabase-driver/releases/ta...

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 csv-metabase-driver and Redash you can also consider the following projects:

datapane - Build and share data reports in 100% Python

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

metriql - The metrics layer for your data. Join us at https://metriql.com/slack

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

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

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

perspective - A data visualization and analytics component, especially well-suited for large and/or streaming datasets.

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

bokeh - Interactive Data Visualization in the browser, from Python

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

PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications