ipyvizzu VS ipyvizzu-story

Compare ipyvizzu vs ipyvizzu-story and see what are their differences.

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ipyvizzu ipyvizzu-story
7 11
924 318
1.7% 1.6%
9.1 8.6
2 months ago 4 months ago
Jupyter Notebook Jupyter Notebook
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.

ipyvizzu

Posts with mentions or reviews of ipyvizzu. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-14.

ipyvizzu-story

Posts with mentions or reviews of ipyvizzu-story. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-11.

What are some alternatives?

When comparing ipyvizzu and ipyvizzu-story you can also consider the following projects:

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

vizzu-story-js - Build and present animated data stories.

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

ggplot - ggplot port for python

dash - Data Apps & Dashboards for Python. No JavaScript Required.

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.

dash-tools - DashTools - Plotly Dash Command Line Tools - Create, Run and Deploy Templated Python Apps from Terminal

folium - Python Data. Leaflet.js Maps.

django-slick-reporting - Reporting engine for Django, Create dashboards, reports and charts effectively and effortlessly.

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