Software Alternatives, Accelerators & Startups

NumPy VS Elevate

Compare NumPy VS Elevate and see what are their differences

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Elevate logo Elevate

Elevate is an award-winning brain training tool designed to build communication and analytical skills.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Elevate Landing page
    Landing page //
    2023-06-28

NumPy videos

Learn NUMPY in 5 minutes - BEST Python Library!

More videos:

  • Review - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • Review - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

Elevate videos

Elevate App Review

More videos:

  • Review - IS THIS APP ANY GOOD? - Elevate (Brain Training & Brain Games) | App Review
  • Review - 30 days of Elevate Brain training Review | Elevate Free brain training apps | Does Elevate work

Category Popularity

0-100% (relative to NumPy and Elevate)
Data Science And Machine Learning
Social Media Tools
0 0%
100% 100
Data Science Tools
100 100%
0% 0
CMS
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare NumPy and Elevate

NumPy Reviews

25 Python Frameworks to Master
SciPy provides a collection of algorithms and functions built on top of the NumPy. It helps to perform common scientific and engineering tasks such as optimization, signal processing, integration, linear algebra, and more.
Source: kinsta.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
Scipy is used for mathematical and scientific computations but can also perform multi-dimensional image processing using the submodule scipy.ndimage. It provides functions to operate on n-dimensional Numpy arrays and at the end of the day images are just that.
Source: neptune.ai
Top Python Libraries For Image Processing In 2021
Numpy It is an open-source python library that is used for numerical analysis. It contains a matrix and multi-dimensional arrays as data structures. But NumPy can also use for image processing tasks such as image cropping, manipulating pixels, and masking of pixel values.
4 open source alternatives to MATLAB
NumPy is the main package for scientific computing with Python (as its name suggests). It can process N-dimensional arrays, complex matrix transforms, linear algebra, Fourier transforms, and can act as a gateway for C and C++ integration. It's been used in the world of game and film visual effect development, and is the fundamental data-array structure for the SciPy Stack,...
Source: opensource.com

Elevate Reviews

  1. Best app for brain training ever.

    It makes me smarter in different ways. It boost's my vocabulary, makes me better in math, and helps me with my memory.

    🏁 Competitors: Lumosity
    👍 Pros:    Makes me smart
    👎 Cons:    None so far

Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than Elevate. While we know about 109 links to NumPy, we've tracked only 3 mentions of Elevate. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

NumPy mentions (109)

  • NumPy for Beginners: A Basic Guide to Get You Started
    This guide covers the basics of NumPy, and there's much more to explore. Visit numpy.org for more information and examples. - Source: dev.to / about 1 hour ago
  • 2 Minutes to JupyterLab Notebook on Docker Desktop
    Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 9 months ago
  • Element-wise vs Matrix vs Dot multiplication
    In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / 3 months ago
  • JSON in data science projects: tips & tricks
    Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:. - Source: dev.to / 3 months ago
  • Introducing Flama for Robust Machine Learning APIs
    Numpy: A library for scientific computing in Python. - Source: dev.to / 6 months ago
View more

Elevate mentions (3)

  • Bright student with ADHD starter pack
    /u/Guffikiss_ and /u/cygnusxone_ are correct, it's a brain training app called Elevate.   For me I've made it part of my morning routine, and it help me sort of kickstart my brain, reducing the number of days I'm getting absolutely nothing done as a thanks to executive disfunction. It has a 7-day free trial if you want to try it out. Source: about 1 year ago
  • Lithium slowing down my brain
    Sorry for rambling, a suggestion I have is maybe try some phone games that are g seed towards cognitive training? My two favorite games for this aren’t marketed as that, but that’s what they are. I play Flow Free (the one where you connect different colored dots on a grid) and I Love Hue (you have images of color gradients that are split into pieces and you have to put them together like a puzzle). Another one I... Source: over 1 year ago
  • Symptom/Daily Tracker
    I highly recommend you look at Duolingo and Elevate. These are 2 companies that have done an amazing job at getting people to build daily habits. Source: about 3 years ago

What are some alternatives?

When comparing NumPy and Elevate, you can also consider the following products

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Lumosity - Discover what your mind can do. Improve memory, increase focus, and find calm - with the #1 brain training app. Get started now.

OpenCV - OpenCV is the world's biggest computer vision library

ViralContentBee - Viral Content Bee is a web-based platform that utilizes a crowd-sourcing model to facilitate the generation of  “social buzz” on content.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Peak - Peak is the automated way to keep track of what everyone is working on.