Software Alternatives & Reviews

NumPy VS Microsoft Computer Vision API

Compare NumPy VS Microsoft Computer Vision API and see what are their differences

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Microsoft Computer Vision API logo Microsoft Computer Vision API

Extract rich information from images and analyze content with Computer Vision, an Azure Cognitive Service.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Microsoft Computer Vision API Landing page
    Landing page //
    2023-01-29

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

Microsoft Computer Vision API videos

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Category Popularity

0-100% (relative to NumPy and Microsoft Computer Vision API)
Data Science And Machine Learning
Image Analysis
0 0%
100% 100
Data Science Tools
100 100%
0% 0
OCR
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 Microsoft Computer Vision API

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

Microsoft Computer Vision API Reviews

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Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than Microsoft Computer Vision API. While we know about 107 links to NumPy, we've tracked only 6 mentions of Microsoft Computer Vision API. 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 (107)

  • 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 / about 2 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 / about 2 months ago
  • Introducing Flama for Robust Machine Learning APIs
    Numpy: A library for scientific computing in Python. - Source: dev.to / 5 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 / 6 months ago
  • Beginning Python: Project Management With PDM
    A majority of software in the modern world is built upon various third party packages. These packages help offload work that would otherwise be rather tedious. This includes interacting with cloud APIs, developing scientific applications, or even creating web applications. As you gain experience in python you'll be using more and more of these packages developed by others to power your own code. In this example... - Source: dev.to / 7 months ago
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Microsoft Computer Vision API mentions (6)

  • Bing allows visual inputs now
    Https://azure.microsoft.com/en-us/products/cognitive-services/vision-services/ It's this However, the CODENAME is Chameleon Sorry for the confusion. Source: 11 months ago
  • Markdown Accessibility Github Action
    This action searches through all markdown files in all folders. If an image does not have an alt text, the action uses the microsoft/git-base-coco model from HuggingFace to generate alt text. The end user can also create and use their Azure Computer Vision resource for alt text generation by providing their key and endpoint as repository secrets. When using the Azure Computer Vision Resource, they can also specify... - Source: dev.to / 12 months ago
  • I'm looking for a free tier cloud provider for hosting Django and Angular
    Azure Cognitive Services for Vision? https://azure.microsoft.com/en-us/products/cognitive-services/vision-services/. Source: about 1 year ago
  • https://www.infoq.com/news/2022/10/azure-computer-vision-api/
    Recently Microsoft announced the public preview of a new version of the Computer Vision Image Analysis API, making all visual image features ranging from Optical Character Recognition (OCR) to object detection, available through a single endpoint.  This is the 4th version of the API, and more details are disclosed in the news item: https://www.infoq.com/news/2022/10/azure-computer-vision-api/. Source: over 1 year ago
  • angularday report
    Very interesting topic about integration of Microsoft Cognitive Services Computer Vision APIs with Angular app. While there was no talk about some specific Angular techniques, this speech showed how easy it could be to implement a text recognition feature by using easy-to-use services provided by Azure Cloud. I was impressed. Now I am familiar with following aspects:. - Source: dev.to / over 2 years ago
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What are some alternatives?

When comparing NumPy and Microsoft Computer Vision API, 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.

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

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

Amazon Rekognition - Add Amazon's advanced image analysis to your applications.

Google Vision AI - Cloud Vision API provides a comprehensive set of capabilities including object detection, ocr, explicit content, face, logo, and landmark detection.

Dataiku - Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.