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NumPy Alternatives
Similar projects and alternatives to NumPy
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InfluxDB
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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
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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Nim
Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better NumPy alternative or higher similarity.
NumPy discussion
NumPy reviews and mentions
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 2025-04-24.
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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++.
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It is not a compiler error. It is never a compiler error (2017)
I hit a similar issue in 2017 which is still the case today: Python's builtin `random.shuffle` destroys numpy arrays passed into it [0]. This is apparently a design limitation within numpy and cannot be detected or fixed, so it still stands today.
[0] https://github.com/numpy/numpy/issues/10215
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Building an AI-powered Financial Data Analyzer with NodeJS, Python, SvelteKit, and TailwindCSS - Part 0
The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis.
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Back To Basics: git
In my testing, I found that when checking out 500 commits sequentially from the numpy repository, disabling this feature required 13.8 seconds to complete on average across 10 runs. Enabling this feature took on average 11.2 seconds across 10 runs. Not an astounding difference in testing, but if core.fsmonitor can save me 2.6 seconds per 500 commits, on a project with 37,775 commits that could add up to a time savings of 211.54 seconds, or 3 minutes and 32 seconds! More testing on my end needs to be done if this feature scales linearly, but for now I will keep it on and use version 1 of the tool.
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LAPACK in your web browser
Readers of this blog who are familiar with LAPACK are likely to not be intimately familiar with the wild world of web technologies. For those coming from the world of numerical and scientific computation and have familiarity with the scientific Python ecosystem, the easiest way to think of stdlib is as an open source scientific computing library in the mold of NumPy and SciPy. It provides multi-dimensional array data structures and associated routines for mathematics, statistics, and linear algebra, but uses JavaScript, rather than Python, as its primary scripting language. As such, stdlib is laser-focused on the web ecosystem and its application development paradigms. This focus necessitates some interesting design and project architecture decisions, which make stdlib rather unique when compared to more traditional libraries designed for numerical computation.
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1MinDocker #6 - Building further
numpy
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F1 FollowLine + HSV filter + PID Controller
This library provides functions for working in domain of linear algebra, fourier transform, matrices and arrays.
- Dia 12 - 1.2 Oito grandes ideias sobre arquitetura de computadores
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The Fastest Mutexes
https://github.com/numpy/numpy/issues/26510#issuecomment-229...
And now that I look at that again I realize I forgot to finish that up!
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Intro to Ray on GKE
The Python Library components of Ray could be considered analogous to solutions like numpy, scipy, and pandas (which is most analogous to the Ray Data library specifically). As a framework and distributed computing solution, Ray could be used in place of a tool like Apache Spark or Python Dask. It’s also worthwhile to note that Ray Clusters can be used as a distributed computing solution within Kubernetes, as we’ve explored here, but Ray Clusters can also be created independent of Kubernetes.
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A note from our sponsor - SaaSHub
www.saashub.com | 16 May 2025
Stats
Basic NumPy repo stats
301
29,483
10.0
1 day ago
numpy/numpy is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of NumPy is Python.
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