gr VS Apache Superset

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

gr

Multiple git repository management tool (by mixu)

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 3
665 34,745
- -
0.0 9.9
about 5 years ago about 3 years ago
JavaScript Python
- 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. The last one was on 2023-01-02.

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:

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.

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

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

Elasticsearch - Free and Open, Distributed, RESTful Search Engine

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

grafanalib - Python library for building Grafana dashboards

bokeh - Interactive Data Visualization in the browser, from Python

matplotlib - matplotlib: plotting with Python

folium - Python Data. Leaflet.js Maps.

seaborn - Statistical data visualization in 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.