GooPyCharts VS pygal

Compare GooPyCharts vs pygal and see what are their differences.

GooPyCharts

A Google Charts API for Python, meant to be used as an alternative to matplotlib. (by Dfenestrator)

pygal

PYthon svg GrAph plotting Library (by Kozea)
Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
GooPyCharts pygal
0 3
205 2,598
- 0.3%
0.0 7.7
over 6 years ago about 2 months ago
Python Python
Apache License 2.0 GNU Lesser General Public License v3.0 only
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.

GooPyCharts

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

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

pygal

Posts with mentions or reviews of pygal. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-03.

What are some alternatives?

When comparing GooPyCharts and pygal you can also consider the following projects:

matplotlib - matplotlib: plotting with Python

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

bokeh - Interactive Data Visualization in the browser, from Python

seaborn - Statistical data visualization in Python

SnakeViz - An in-browser Python profile viewer

Altair - Declarative statistical visualization library 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.

bqplot - Plotting library for IPython/Jupyter notebooks

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

ggplot - ggplot port for python