Software Alternatives, Accelerators & Startups

NumPy VS OpenLayers

Compare NumPy VS OpenLayers and see what are their differences

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

OpenLayers logo OpenLayers

A high-performance, feature-packed library for all your mapping needs.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • OpenLayers Landing page
    Landing page //
    2021-09-27

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

OpenLayers videos

Create Maps with Vector Tiles | OpenLayers | Mapbox GL JS

More videos:

  • Review - Membuat Peta Openlayers 3
  • Review - OpenLayers 3.x for Drupal

Category Popularity

0-100% (relative to NumPy and OpenLayers)
Data Science And Machine Learning
Marketing Platform
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Business & Commerce
0 0%
100% 100

User comments

Share your experience with using NumPy and OpenLayers. 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 OpenLayers

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

OpenLayers Reviews

The Top 10 Alternatives to ArcGIS
OpenLayers is an open source JavaScript library for displaying map data on a web page. It provides a powerful, easy-to-use API for creating dynamic maps and making interactive queries to spatial data servers. OpenLayers has been used in many high-profile projects, including Google Earth, Wikimedia Maps, and CartoWeb. If you’re interested in adding mapping functionality to...
Survey of the Best Online Mapping Tools for Web Developers: The Roadmap to Roadmaps
OpenLayers was developed by MetaCarta as an open source equivalent to Google Maps, and the first version was published in June 2006. OpenLayers is an onling mapping tool that implements a JavaScript API for building rich web-based geographic applications, with an API similar to the Google Maps API. OpenLayers gained a lot of traction very fast, and development in the...
Source: www.toptal.com

Social recommendations and mentions

Based on our record, NumPy should be more popular than OpenLayers. It has been mentiond 112 times since March 2021. 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 (112)

  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Develop a script that iterates over the image database, preprocesses each image according to the model's requirements (e.g., resizing, normalization), and feeds them into the model for prediction. Ensure the script can handle large datasets efficiently by implementing batch processing. Use libraries like NumPy or Pandas for data management and TensorFlow or PyTorch for model inference. Include... - Source: dev.to / 13 days ago
  • 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 / 13 days ago
  • Awesome List
    NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 18 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 / 20 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 / 10 months ago
View more

OpenLayers mentions (28)

  • Zooming User Interface (ZUI)
    You probably know this, but in Google Maps at least, you can use browser zoom (ctrl/cmd +/-) to change the size of labels without zooming into the actual map. ------ Speaking of maps, I got to work a fun zoom project a few years ago: https://map.fieldmuseum.org/ We used https://openlayers.org/ and thought long and hard about how to best handle zooming and variable levels of information density & visual hierarchy.... - Source: Hacker News / 2 months ago
  • Handling files in enterprise web solutions
    In order to display the GeoJSON features on a map, we will use OpenLayers, which is a very powerful open-source mapping library that is also very simple to use. - Source: dev.to / 4 months ago
  • 5 JavaScript mapping APIs compared
    OpenLayers is a modular, high-performance library designed for displaying and interacting with maps and geospatial data. It is a free, open-source JS library released under the 2-Clause BSD License, facilitating the creation of interactive and feature-rich web maps. - Source: dev.to / 5 months ago
  • I'm a senior in my CS major and it's incredible I didn't hear about GIS projects until now. Glad to be here.
    For web maps I'd strongly recommend using OpenLayers. While it's less convenient to get started with compared to the alternatives it's also much more feature-complete and you'll likely hit a ceiling in terms of functionality much later than you would with the others. Source: about 1 year ago
  • Show HN: Test, fix, and improve your ML models
    Tought this was about https://openlayers.org/, got confused for a moment. - Source: Hacker News / about 1 year ago
View more

What are some alternatives?

When comparing NumPy and OpenLayers, 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.

AWS Snowball - AWS Snowball is a petabyte-scale data transport service that uses secure devices to transfer large amounts of data into and out of the AWS cloud.

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

Net Solutions - Net Solutions: Where innovation meets expertise. Award-winning digital solutions built for growth.

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

Fluper - Fluper: Top Mobile App Development Company in USA, UK, UAE & INDIA that Specialises in iPhone (iOS), Android & Web App Development Services at Affordable cost.