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NumPy VS Digit

Compare NumPy VS Digit and see what are their differences

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Digit logo Digit

SMS bot that monitors your bank account & saves you money
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Digit Landing page
    Landing page //
    2023-04-26

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

Digit videos

Digit App Review: 4 Things to Know About the Automated Savings App

More videos:

  • Review - Digit App Review 2019
  • Review - Digit App Review 2020

Category Popularity

0-100% (relative to NumPy and Digit)
Data Science And Machine Learning
Personal Finance
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Financial Planner
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 Digit

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

Digit Reviews

We have no reviews of Digit yet.
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Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than Digit. While we know about 111 links to NumPy, we've tracked only 2 mentions of Digit. 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 (111)

  • Documenting my pin collection with Segment Anything: Part 3
    NumPy: This library is fundamental for handling arrays and matrices, such as for operations that involve image data. NumPy is used to manipulate image data and perform calculations for image transformations and mask operations. - Source: dev.to / about 12 hours ago
  • Awesome List
    NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 6 days ago
  • 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 / 8 days 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
View more

Digit mentions (2)

  • Discussion Megathread for those considering other options. Let me know what I can do to help.
    Has anyone thought about using Digit's bank account? Seems like it has a lot of similar features to One/Simple. I'm definitely intrigued! https://digit.co/. Source: about 2 years ago
  • Wealthfront adds "Cash Categories", very similar to Goals and Safe-to-Spend
    Also, just want to point out for anyone else who's reading that I'm not sure how well this would work for microbudgeting — e.g. gas, food, power bill, etc. — feels like that would be tedious to use with this UI. For me, I'm just setting aside rent, an emergency fund, credit card payments, and "fun money" so they're separate from my main balance. It's more like Digit than YNAB. Source: about 3 years ago

What are some alternatives?

When comparing NumPy and Digit, 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.

Penny - Penny is a personal finance app that takes the pain out of keeping track of your finances.

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

Mint - Free personal finance software to assist you to manage your money, financial planning, and budget planning tools. Achieve your financial goals with Mint.

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

Qapital - Qapital is an easy to use Finance application that allows you to save money automatically and take control of your spending.