GR VS Apache Superset

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

GR

GR framework: a graphics library for visualisation applications (by sciapp)

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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GR Apache Superset
- 3
326 34,745
0.0% -
9.4 9.9
9 days ago about 3 years ago
C Python
GNU General Public License v3.0 or later 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.

GR

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

We haven't tracked posts mentioning GR yet.
Tracking mentions began in Dec 2020.

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 2021-11-25.

What are some alternatives?

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

matplotlib - matplotlib: plotting with Python

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

Grafana - The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.

VisPy - Main repository for Vispy

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

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

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

seaborn - Statistical data visualization in Python

Elasticsearch - Free and Open, Distributed, RESTful Search Engine

ggplot - ggplot port for python

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