gnuplot-elixir VS ipyvizzu

Compare gnuplot-elixir vs ipyvizzu and see what are their differences.


Elixir interface to Gnuplot graphing utility (by devstopfix)
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gnuplot-elixir ipyvizzu
1 7
29 922
- 1.5%
10.0 9.1
over 1 year ago about 2 months ago
Elixir Jupyter Notebook
Eclipse Public 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.


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

We haven't tracked posts mentioning gnuplot-elixir yet.
Tracking mentions began in Dec 2020.


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.

What are some alternatives?

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

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

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

folium - Python Data. Leaflet.js Maps.

ggplot - ggplot port for 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.

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

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

matplotlib - matplotlib: plotting with Python

VisPy - Main repository for Vispy

diagrams - :art: Diagram as Code for prototyping cloud system architectures

bokeh - Interactive Data Visualization in the browser, from Python

bqplot - Plotting library for IPython/Jupyter notebooks