Apache Superset VS grafanalib

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

Apache Superset

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

grafanalib

Python library for building Grafana dashboards (by weaveworks)
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Apache Superset grafanalib
3 4
34,745 1,815
- 1.0%
9.9 7.2
about 3 years ago 13 days ago
Python Python
Apache License 2.0 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.

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.

grafanalib

Posts with mentions or reviews of grafanalib. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-11.

What are some alternatives?

When comparing Apache Superset and grafanalib 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

bokeh - Interactive Data Visualization in the browser, from Python

matplotlib - matplotlib: plotting with Python

grafonnet-lib - Jsonnet library for generating Grafana dashboard files.

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.