Chartbrew VS Apache Superset

Compare Chartbrew vs Apache Superset and see what are their differences.

Chartbrew

Open-source web platform for creating charts out of different data sources (databases and APIs) ๐Ÿ“ˆ๐Ÿ“Š (by chartbrew)

Apache Superset

Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset] (by apache)
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Chartbrew Apache Superset
5 1
574 34,745
49.0% -
8.9 9.9
7 days ago 9 months ago
JavaScript Python
MIT License Apache License 2.0
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.

Chartbrew

Posts with mentions or reviews of Chartbrew. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-01.
  • Show HN: Open-Source multi-dashboarding platform for teams and client reporting
    news.ycombinator.com | 2021-09-01
    One use-case that the platform is being used for is for B2B SaaS businesses to offer their analytics through Chartbrew. So it is possible and there are people already using it like this.

    Or if you're wondering if you can offer the analytics platform by itself as a SaaS, I built a SaaS layer on top of it here: https://chartbrew.com

    news.ycombinator.com | 2021-09-01
  • From abandoned project to profitable product
    reddit.com/r/SaaS | 2021-05-03
    I've recently interviewed Razvan Ilin the creator of [ChartBrew](https://chartbrew.com) a SaaS to create charts and graphs to help you understand your application data.
  • I created a website analytics dashboard using my own visualization tool
    I created this dashboard to test out the table views which I recently implemented in the project. You can find my project on Github: https://github.com/chartbrew/chartbrew (MIT)
  • I made a dashboard to monitor my product's stats (WIP)
    Glad you like it! The product data comes from a MySQL database (1st, 2nd, and 4th chart). The Stripe and Mailgun data come from their respective APIs. The dashboard in itself is built on https://github.com/chartbrew/chartbrew

Apache Superset

Posts with mentions or reviews of Apache Superset. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2020-12-29.

What are some alternatives?

When comparing Chartbrew and Apache Superset you can also consider the following projects:

plotly - The interactive graphing library for Python (includes Plotly Express) :sparkles:

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

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

cube.js - ๐Ÿ“Š Cube.js โ€” Open-Source Analytics API for Building Data Apps

bokeh - Interactive Data Visualization in the browser, from Python

matplotlib - matplotlib: plotting with Python

Flask JSONDash - :snake: :bar_chart: :chart_with_upwards_trend: Build complex dashboards without any front-end code. Use your own endpoints. JSON config only. Ready to go.

folium - Python Data. Leaflet.js Maps.

seaborn - Statistical data visualization in Python

Altair - Declarative statistical visualization library for Python

Elasticsearch - Free and Open, Distributed, RESTful Search Engine

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