NumPy
The fundamental package for scientific computing with Python. (by numpy)
cheatsheets
Official Matplotlib cheat sheets (by matplotlib)
| NumPy | cheatsheets | |
|---|---|---|
| 310 | 126 | |
| 31,038 | 7,604 | |
| 1.0% | 0.3% | |
| 10.0 | 7.0 | |
| 4 days ago | 8 days ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | BSD 2-clause "Simplified" 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.
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.
NumPy
Posts with mentions or reviews of NumPy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2025-11-25.
- Python is not a great language for data science. Part 1: The experience
- Choosing Tech Stack in 2025: A Practical Guide
Unmatched integration with ML/AI ecosystems through NumPy, TensorFlow, and PyTorch
- What Dynamic Typing Is For
- Bringing NumPy's type-completeness score to nearly 90% – Pyrefly
> Let’s take a pause here for a second - the ‘CanIndex’ and ‘SupportsIndex’ from the looks are just “int”.
The PR for the change is https://github.com/numpy/numpy/pull/28913 - The details of files changed[0] shows the change was made in 'numpy/__init__.pyi'. Looking at the whole file[1] shows SupportsIndex is being imported from the standard library's typing module[2].
Where are you seeing SupportsIndex being defined as an int?
> I have a hard time dealing with these custom types because they are so obscure.
SupportsIndex is obscure, I agree, but it's not a custom type. It's defined in stdlib's typing module[2], and was added in Python 3.8.
[0]: https://github.com/numpy/numpy/pull/28913/files
[1]: https://github.com/charris/numpy/blob/c906f847f8ebfe0adec896...
[2]: https://docs.python.org/3/library/typing.html#typing.Support...
- Don’t Let Cyber Risk Kill Your GenAI Vibe: A Developer’s Guide
Know (or check) tells of older versions, such as the python sdk of OpenAI changing from a client with global state in v0.x.x, to a declared instance in v1.x.x, or numpy's change in how random generators are declared.
- Top 5 GitHub Repositories for Data Science in 2026
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, A…
- Your 2025 Roadmap to Becoming an AI Engineer for Free for Vue.js Developers
AI starts with math and coding. You don’t need a PhD—just high school math like algebra and some geometry. Linear algebra (think matrices) and calculus (like slopes) help understand how AI models work. Python is the main language for AI, thanks to tools like TensorFlow and NumPy. If you know JavaScript from Vue.js, Python’s syntax is straightforward.
- Top 17 Tools for Scientific Simulation & Modeling
- Release v2.3.0 (June 7, 2025) · NumPy/NumPy
- How to Get Started with Scikit-Learn: A Beginner-Friendly Guide to Machine Learning in Python
As is the case with most Python libraries, it is open-source and free-to-use, making it easily accessible by anyone willing to learn machine learning, and it is built upon other open-source libraries within Python, like SciPy for advanced scientific operations, NumPy for efficient numerical computations, Matplotlib for data visualization, and Cython for increased efficiency and speed, similar to that of C/C++.
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.
- Mastering Matplotlib: A Step-by-Step Tutorial for Beginners
Matplotlib - A Python 2D plotting library.
- How to retrieve and analyze crypto order book data using Python and a cryptocurrency API
Data visualization: utilizing Python's Matplotlib for visualizing order book information.
- Matplotlib
- Ask HN: What plotting tools should I invest in learning?
- Help with an array
- Getting visual studio code to work with imported library
Name: matplotlib Version: 3.7.1 Summary: Python plotting package Home-page: https://matplotlib.org Author: John D. Hunter, Michael Droettboom Author-email: matplotlib-users@python.org License: PSFLocation: /home/huinker/.local/lib/python3.10/site-packages
- PSA: You don't need fancy stuff to do good work.
Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses without relying on expensive or proprietary software.
- What else should I complete before applying for a data analyst role?
programming language: basic python, pandas, matplotlib -- you'll probably do these in school, but if not https://cs50.harvard.edu/python/2022/ https://matplotlib.org/
- [OC] Analyzing 15,963 Job Listings to Uncover the Top Skills for Data Analysts (update)
Analysis was done in Jupyter Notebook with Python 3.10, Pandas, Matplotlib, wordcloud and Mercury framework.
- [OC] Data Analyst Skills in need based on 15,963 job listings
Analysis was done in Jupyter Notebook with Python 3.10 kernel, Pandas, Matplotlib, wordcloud and Mercury framework to share notebook as a web application with widgets and code hidden. Gif created in Canva.
What are some alternatives?
When comparing NumPy and cheatsheets you can also consider the following projects:
mitmproxy - An interactive TLS-capable intercepting HTTP proxy for penetration testers and software developers.
manim - A community-maintained Python framework for creating mathematical animations.
SymPy - A computer algebra system written in pure Python
finplot - Performant and effortless finance plotting for Python
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
OpenCV - Open Source Computer Vision Library