plotnine VS Flask JSONDash

Compare plotnine vs Flask JSONDash and see what are their differences.

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. (by christabor)
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plotnine Flask JSONDash
36 -
3,823 3,292
- -
9.6 0.0
3 days ago almost 2 years ago
Python Python
MIT License MIT License
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.

plotnine

Posts with mentions or reviews of plotnine. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-18.

Flask JSONDash

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

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

What are some alternatives?

When comparing plotnine and Flask JSONDash you can also consider the following projects:

seaborn - Statistical data visualization in Python

Altair - Declarative statistical visualization library for Python

matplotlib - matplotlib: plotting with Python

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

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

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

ggplot - ggplot port for python

VisPy - Main repository for Vispy

bokeh - Interactive Data Visualization in the browser, from Python