NumPy VS SciPy

Compare NumPy vs SciPy and see what are their differences.

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
NumPy SciPy
272 50
26,510 12,532
1.4% 1.6%
10.0 9.9
5 days ago 1 day ago
Python Python
GNU General Public License v3.0 or later BSD 3-clause "New" or "Revised" 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.


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 2024-03-20.


Posts with mentions or reviews of SciPy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-04.
  • What Is a Schur Decomposition?
    2 projects | | 4 Mar 2024
    I guess it is a rite of passage to rewrite it. I'm doing it for SciPy too together with Propack in [1]. Somebody already mentioned your repo. Thank you for your efforts.


  • Fortran codes are causing problems
    2 projects | /r/rstats | 13 Sep 2023
    Fortran codes have caused many problems for the Python package Scipy, and some of them are now being rewritten in C: e.g., Not only does R have many Fortran codes, there are also many R packages using Fortran codes:, Modern Fortran is a fine language but most legacy Fortran codes use the F77 style. When I update the R package quantreg, which uses many Fortran codes, I get a lot of warning messages. Not sure how the Fortran codes in the R ecosystem will be dealt with in the future, but they recently caused an issue in R due to the lack of compiler support for Fortran: Some renowned packages like glmnet already have their Fortran codes rewritten in C/C++:
  • [D] Which BLAS library to choose for apple silicon?
    2 projects | /r/MachineLearning | 24 May 2023
    There are several lessons here: a) vanilla conda-forge numpy and scipy versions come with openblas, and it works pretty well, b) do not use netlib unless your matrices are small and you need to do a lot of SVDs, or idek why c) Apple's veclib/accelerate is super fast, but it is also numerically unstable. So much so that the scipy's devs dropped any support of it back in 2018. Like dang. That said, they are apparently are bring it back in, since the 13.3 release of macOS Ventura saw some major improvements in accelerate performance.
  • SciPy: Interested in adopting PRIMA, but little appetite for more Fortran code
    8 projects | | 18 May 2023
    First, if you read through that scipy issue ( ) the author was willing and able to relicense PRIMA under a 3-clause BSD license which is perfectly acceptable for scipy.

    For the numerical recipes reference, there is a mention that scipy uses a slightly improved version of Powell's algorithm that is originally due to Forman Acton and presumably published in his popular book on numerical analysis, and that also happens to be described & included in numerical recipes. That is, unless the code scipy uses is copied from numerical recipes, which I presume it isn't, NR having the same algorithm doesn't mean that every other independent implementation of that algorithm falls under NR copyright.

  • numerically evaluating wavelets?
    1 project | /r/math | 3 May 2023
  • Fortran in SciPy: Get rid of linalg.interpolative Fortran code
    1 project | | 27 Apr 2023
  • Optimization Without Using Derivatives
    2 projects | | 21 Apr 2023
    Reading the discussions under a previous thread titled "More Descent, Less Gradient"( ), I guess people might be interested in PRIMA ( ), which provides the reference implementation for Powell's renowned gradient/derivative-free (zeroth-order) optimization methods, namely COBYLA, UOBYQA, NEWUOA, BOBYQA, and LINCOA.

    PRIMA solves general nonlinear optimizaton problems without using derivatives. It implements Powell's solvers in modern Fortran, compling with the Fortran 2008 standard. The implementation is faithful, in the sense of being mathmatically equivalent to Powell's Fortran 77 implementation, but with a better numerical performance. In contrast to the 7939 lines of Fortran 77 code with 244 GOTOs, the new implementation is structured and modularized.

    There is a discussion to include the PRIMA solvers into SciPy ( ), replacing the buggy and unmaintained Fortran 77 version of COBYLA, and making the other four solvers available to all SciPy users.

  • What can I contribute to SciPy (or other) with my pure math skill? I’m pen and paper mathematician
    5 projects | /r/Python | 17 Apr 2023
  • Emerging Technologies: Rust in HPC
    3 projects | /r/rust | 24 Mar 2023
    if that makes your eyes bleed, what do you think about this? (heh)
  • Python
    3 projects | /r/ProgrammerHumor | 29 Dec 2022

What are some alternatives?

When comparing NumPy and SciPy you can also consider the following projects:

SymPy - A computer algebra system written in pure 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

statsmodels - Statsmodels: statistical modeling and econometrics in Python

blaze - NumPy and Pandas interface to Big Data

Numba - NumPy aware dynamic Python compiler using LLVM

astropy - Astronomy and astrophysics core library

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).

or-tools - Google's Operations Research tools:

manim - Animation engine for explanatory math videos

PyMC - Bayesian Modeling and Probabilistic Programming in Python