cheatsheets VS examples

Compare cheatsheets vs examples and see what are their differences.

cheatsheets

Official Matplotlib cheat sheets (by matplotlib)
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cheatsheets examples
126 142
7,219 7,699
0.9% 1.2%
7.1 6.2
24 days ago 7 days ago
Python Jupyter Notebook
BSD 2-clause "Simplified" License 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.

cheatsheets

Posts with mentions or reviews of cheatsheets. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-25.

examples

Posts with mentions or reviews of examples. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-19.

What are some alternatives?

When comparing cheatsheets and examples you can also consider the following projects:

finplot - Performant and effortless finance plotting for Python

cppflow - Run TensorFlow models in C++ without installation and without Bazel

manim - A community-maintained Python framework for creating mathematical animations.

Fast-F1 - FastF1 is a python package for accessing and analyzing Formula 1 results, schedules, timing data and telemetry

mlpack - mlpack: a fast, header-only C++ machine learning library

awesome-teachable-machine - Useful resources for creating projects with Teachable Machine models + curated list of already built Awesome Apps!

face-api.js - JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js

Selenium WebDriver - A browser automation framework and ecosystem.

Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

aws-graviton-getting-started - Helping developers to use AWS Graviton2 and Graviton3 processors which power the 6th and 7th generation of Amazon EC2 instances (C6g[d], M6g[d], R6g[d], T4g, X2gd, C6gn, I4g, Im4gn, Is4gen, G5g, C7g[d][n], M7g[d], R7g[d]).

Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more