Software Alternatives, Accelerators & Startups
Register | Login

NumPy VS Draft

Compare NumPy VS Draft and see what are their differences

Insightful.io
#1 Employee monitoring software that gives you unparalleled data about your team’s work habits. Take a deep dive into individual or organisational productivity metrics through real-time or historical data. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Draft logo Draft

A tool for developers to create cloud-native applications on Kubernetes
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Draft Landing page
    Landing page //
    2022-11-03

NumPy videos

+ Add

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

Draft videos

+ Add

2020 NHL Draft Recap/Review | Bob McKenzie & Craig Button

More videos:

  • Review - 2020 NFL Draft Grades
  • Review - NFL Players Read Their Negative Draft Reviews

Category Popularity

0-100% (relative to NumPy and Draft)

NumPy

Draft

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Productivity
0 0%
Productivity
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
iPhone
0 0%
iPhone
100% 100

User comments

Share your experience with using NumPy and Draft. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

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.
Source: www.analyticsvidhya.com
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

Draft Reviews

We have no reviews of Draft yet.
Be the first one to post

Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than Draft. While we know about 108 links to NumPy, we've tracked only 1 mention of Draft. 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 (108)

  • 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
  • A Comprehensive Guide to NumPy Arrays
    Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy. - Source: dev.to / 7 months ago
View more

Draft mentions (1)

  • Top 200 Kubernetes Tools for DevOps Engineer Like You
    Kubernetes on AWS (kube-aws) - A command-line tool to declaratively manage Kubernetes clusters on AWS Draft: Streamlined Kubernetes Development - A tool for developers to create cloud-native applications on Kubernetes Helm-ssm - A low dependency tool for retrieving and injecting secrets from AWS SSM into Helm Skupper - Multicloud communication for Kubernetes. - Source: dev.to / over 2 years ago

What are some alternatives?

When comparing NumPy and Draft, 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.

Boostnote - Boostnote is an open-source note-taking​ app.

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

Sleeperbot - Fantasy football leagues that don’t suck

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

Supernotes - The fastest way to take notes and collaborate with friends. Create notecards with Markdown, LaTeX, images, emojis and more. Get started for free!

Loading...