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BrowserStack VS NumPy

Compare BrowserStack VS NumPy and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

BrowserStack logo BrowserStack

BrowserStack is a software testing platform for developers to comprehensively test websites and mobile applications for quality.

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • BrowserStack Landing page
    Landing page //
    2025-05-06

BrowserStack is a leading software testing platform powering over two million tests every day across 15 global data centers. With BrowserStack, developers can comprehensively test their websites and mobile applications across 2,000+ real mobile devices and browsers in a single cloud platform—and at scale. BrowserStack helps Tesco, Shell, NVIDIA, Discovery, Wells Fargo, and over 50,000 customers deliver quality software at speed.

  • NumPy Landing page
    Landing page //
    2023-05-13

BrowserStack

Website
browserstack.com
Pricing URL
Official BrowserStack Pricing
$ Details
freemium $29.0 / Monthly (Starts at single user plans and billed annually)
Platforms
Mac OSX Android Windows Browser Web iOS Google Chrome Firefox Safari REST API Internet Explorer
Release Date
2012 September
Startup details
Country
Ireland
State
Dublin
City
Dublin
Founder(s)
Nakul Aggarwal
Employees
500 - 999
Edit details

NumPy

Website
numpy.org
Pricing URL
-
$ Details
Platforms
-
Release Date
-
Edit details

BrowserStack features and specs

  • Cloud-based
  • Browser Extensions
  • SaaS

NumPy features and specs

  • Performance
    NumPy operations are executed with highly optimized C and Fortran libraries, making them significantly faster than standard Python arithmetic operations, especially for large datasets.
  • Versatility
    NumPy supports a vast range of mathematical, logical, shape manipulation, sorting, selecting, I/O, and basic linear algebra operations, making it a versatile tool for scientific and numeric computing.
  • Ease of Use
    NumPy provides an intuitive, easy-to-understand syntax that extends Python's ability to handle arrays and matrices, lowering the barrier to performing complex scientific computations.
  • Community Support
    With a large and active community, NumPy offers extensive documentation, tutorials, and support for troubleshooting issues, as well as continuous updates and enhancements.
  • Integrations
    NumPy integrates seamlessly with other libraries in Python's scientific stack like SciPy, Matplotlib, and Pandas, facilitating a streamlined workflow for data science and analysis tasks.

Possible disadvantages of NumPy

  • Memory Consumption
    NumPy arrays can consume large amounts of memory, especially when working with very large datasets, which can become a limitation on systems with limited memory capacity.
  • Learning Curve
    For users new to scientific computing or coming from different programming backgrounds, understanding the intricacies of NumPy's operations and efficient usage can take time and effort.
  • Limited GPU Support
    NumPy primarily runs on the CPU and doesn't natively support GPU acceleration, which can be a disadvantage for extremely compute-intensive tasks that could benefit from parallel processing.
  • Dependency on Python
    Since NumPy is a Python library, it depends on the Python runtime environment. This can be a limitation in environments where Python is not the primary language or isn't supported.
  • Indexing Complexity
    Although NumPy's slicing and indexing capabilities are powerful, they can sometimes be complex or unintuitive, especially for multi-dimensional arrays, leading to potential errors and confusion.

Analysis of BrowserStack

Overall verdict

  • Overall, BrowserStack is considered a highly effective and reliable tool in the web development and testing community. Its extensive features, real-device testing capabilities, and seamless integration make it a good choice for those needing comprehensive cross-browser testing solutions.

Why this product is good

  • BrowserStack is a robust and widely used web testing platform that provides developers with the ability to test their websites and applications across a vast array of browsers and devices. It offers real device cloud testing, ensuring that users can assess how their applications perform on actual devices rather than simulations. This makes it an invaluable tool for identifying and resolving cross-browser compatibility issues. Additionally, it integrates with popular CI/CD tools, enhancing the workflow efficiency for development teams.

Recommended for

  • Web developers
  • QA engineers
  • Agile development teams
  • Companies needing cross-browser testing across multiple devices
  • Teams looking for CI/CD integration in their testing process

Analysis of NumPy

Overall verdict

  • Yes, NumPy is considered good. It is a foundational library in the Python ecosystem for numerical computing and is used globally by researchers, engineers, and data scientists.

Why this product is good

  • NumPy is widely regarded as a good library because it offers fast, flexible, and efficient array handling that is integral to scientific computing in Python. It provides tools for integrating C/C++ and Fortran code, useful linear algebra, random number capabilities, and a vast collection of mathematical functions. Its array broadcasting capabilities and versatility make complex mathematical computations straightforward.

Recommended for

  • Scientists and researchers working with large-scale scientific computations.
  • Data scientists engaged in data analysis and manipulation.
  • Engineers and developers needing performance-optimized mathematical computations.
  • Educators and students in STEM fields.

BrowserStack videos

+ Add

BrowserStack Overview

More videos:

  • Tutorial - SpeedLab by BrowserStack
  • Review - SharePoint Team Finds BrowserStack Invaluable

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

Category Popularity

0-100% (relative to BrowserStack and NumPy)

BrowserStack

NumPy

Website Testing
100 100%
Website Testing
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Browser Testing
100 100%
Browser Testing
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using BrowserStack and NumPy. For example, how are they different and which one is better?
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Reviews

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

BrowserStack Reviews

Top Selenium Alternatives
BrowserStack is another leading cloud-based testing platform that offers access to a vast array of browsers and real mobile devices. It's designed to simplify the testing process by allowing tests to run in parallel across different environments, significantly reducing the time needed for comprehensive testing. BrowserStack features include live, interactive testing,...
Source: bugbug.io
Why choose HeadSpin over BrowserStack?
Companies like HeadSpin and BrowserStack play a significant role in fulfilling the demand for testing on real devices and cross-browser devices. Their ability to test on real devices online and monitor digital experiences adds to the value proposition of organizations implementing testing solutions. However, every company has different requirements and here are a few reasons...
Source: www.headspin.io

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

Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than BrowserStack. While we know about 119 links to NumPy, we've tracked only 8 mentions of BrowserStack. 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.

BrowserStack mentions (8)

  • Show HN: Quell – AI QA Agent Working Across Linear, Vercel, Jira, Netlify, Figma
    This is pretty cool - the Jira/Linear integration could save a ton of manual work. How do you handle test data setup and teardown? That's usually where these workflows get messy. For alternatives in this space, there's qawolf (https://qawolf.com) for similar automated testing workflows, or I'm actually building bug0 (https://bug0.com) which also does AI-powered test automation, still in beta. For the more... - Source: Hacker News / 23 days ago
  • 🛑 Stop resizing your browser: improve testing for responsiveness
    Platforms like Browserstack or SauceLabs offer virtual instances of real devices and browsers for manual and end-to-end testing. Caveat: subscriptions cost money and are on a per-seat basis. - Source: dev.to / about 1 year ago
  • Unsupported country
    If you go to browserstack.com (a website to test other websites) you can probably to the chatgpt url and sign up there. Source: over 2 years ago
  • Windows vs Mac?
    For testing on Mac or iOS, use browserstack.com, you'll spend considerably less using that than you would buying the actual hardware. Source: over 2 years ago
  • Free methods for testing websites/apps across devices?
    I've seen subscription services such as browserstack.com and lambdatest.com but I believe they cost to get the full range of mac browsers and devices. Source: over 2 years ago
View more

NumPy mentions (119)

  • Building an AI-powered Financial Data Analyzer with NodeJS, Python, SvelteKit, and TailwindCSS - Part 0
    The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis. - Source: dev.to / 5 months ago
  • F1 FollowLine + HSV filter + PID Controller
    This library provides functions for working in domain of linear algebra, fourier transform, matrices and arrays. - Source: dev.to / 9 months ago
  • Intro to Ray on GKE
    The Python Library components of Ray could be considered analogous to solutions like numpy, scipy, and pandas (which is most analogous to the Ray Data library specifically). As a framework and distributed computing solution, Ray could be used in place of a tool like Apache Spark or Python Dask. It’s also worthwhile to note that Ray Clusters can be used as a distributed computing solution within Kubernetes, as... - Source: dev.to / 9 months ago
  • Streamlit 101: The fundamentals of a Python data app
    It's compatible with a wide range of data libraries, including Pandas, NumPy, and Altair. Streamlit integrates with all the latest tools in generative AI, such as any LLM, vector database, or various AI frameworks like LangChain, LlamaIndex, or Weights & Biases. Streamlit’s chat elements make it especially easy to interact with AI so you can build chatbots that “talk to your data.”. - Source: dev.to / 10 months ago
  • A simple way to extract all detected objects from image and save them as separate images using YOLOv8.2 and OpenCV
    The OpenCV image is a regular NumPy array. You can see it shape:. - Source: dev.to / 10 months ago
View more

What are some alternatives?

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

LambdaTest - Perform Web Testing on 2000+ Browsers & OS

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

Sauce Labs - Test mobile or web apps instantly across 700+ browser/OS/device platform combinations - without infrastructure setup.

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

Selenium - Selenium automates browsers. That's it! What you do with that power is entirely up to you. Primarily, it is for automating web applications for testing purposes, but is certainly not limited to just that.

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

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