pygeohydro VS Apache Superset

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

pygeohydro

A part of HyRiver software stack for accessing hydrology data through web services (by hyriver)

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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pygeohydro Apache Superset
1 3
63 34,745
- -
9.2 9.9
7 days ago about 3 years ago
Python 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.

pygeohydro

Posts with mentions or reviews of pygeohydro. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-04.

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 pygeohydro and Apache Superset you can also consider the following projects:

HyRiver-examples - Example Notebooks for HyRiver software stack

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

clouddrift - CloudDrift accelerates the use of Lagrangian data for atmospheric, oceanic, and climate sciences.

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.

whiteboxgui - An interactive GUI for WhiteboxTools in a Jupyter-based environment

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