C7-Lecture-Backpack VS plotnine

Compare C7-Lecture-Backpack vs plotnine and see what are their differences.

C7-Lecture-Backpack

Lecture Content for Software Engineering, Data Science, and Full Stack Web Development Students (by skills-cogrammar)
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C7-Lecture-Backpack plotnine
1 36
83 3,835
- -
9.6 9.6
1 day ago 7 days ago
Jupyter Notebook 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.

C7-Lecture-Backpack

Posts with mentions or reviews of C7-Lecture-Backpack. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-18.

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.

What are some alternatives?

When comparing C7-Lecture-Backpack and plotnine you can also consider the following projects:

seaborn - Statistical data visualization in Python

matplotlib - matplotlib: plotting with Python

Altair - Declarative statistical visualization library for Python

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

ggplot - ggplot port for python

bokeh - Interactive Data Visualization in the browser, from Python

polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust

DearPyGui - Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies

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

pydot - Python interface to Graphviz's Dot language

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.

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