Software Alternatives, Accelerators & Startups

NumPy VS LambdaTest

Compare NumPy VS LambdaTest and see what are their differences

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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

LambdaTest logo LambdaTest

Perform Web Testing on 2000+ Browsers & OS
  • NumPy Landing page
    Landing page //
    2023-05-13
  • LambdaTest Landing page
    Landing page //
    2023-09-09

LambdaTest is a cloud-based cross browser testing platform that helps enterprises run web automation tests at scale (through parallel testing).

Selenium Automation Grid and Cypress CLI on LambdaTest You can attain better browser coverage by running tests across 2,000+ different browsers, devices, and operating systems online. LambdaTest provides a secure, scalable, and reliable cloud-based Selenium Grid that helps run Selenium tests at a faster pace. The Cypress CLI on LambdaTest, helps you expand Cypress test coverage to 40+ browser versions across Windows and macOS platforms. Along with automation testing, you can also perform manual tests, visual UI tests, and real-time tests.

**LT Browser - Responsive Web Testing* Additionally, LambdaTest also offers complimentary access of LT browser - a path-breaking developer-oriented tool that helps assess the responsiveness of your website. LT Browser eases the task of mobile testing as responsive tests can run against 50+ different device resolutions. You can also create custom device (or viewports) and test localhost URL without any extensions (or tunnels).

LambdaTest

$ Details
freemium $15.0 / Monthly
Platforms
Browser Windows Android Web iOS Google Chrome Mac OSX Firefox Safari
Release Date
2017 January
Startup details
Country
United States
State
California
Founder(s)
Asad Khan
Employees
100 - 249

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.

LambdaTest features and specs

  • Selenium Grid For Mobile Web-Automation Testing
  • Selenium Web Testing Automation
  • Parallel Testing For Goto Market Launch
  • API for Continuous Testing
  • Live Interactive Browser Compatibility Testing
  • Continuous Testing with Continuous Integration Tools
  • LT Browser App for Responsive Testing
  • Faster Automated Screenshot Testing

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.

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

LambdaTest videos

Cross Browser Testing Using LambdaTest | LambdaTest Tutorial | Selenium Training | Edureka

More videos:

  • Tutorial - LambdaTest Cross Browser Testing Tool Tutorial
  • Review - LambdaTest vs BrowserStack - Browser Compatibility Testing Tools Reviews

Category Popularity

0-100% (relative to NumPy and LambdaTest)
Data Science And Machine Learning
Website Testing
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Automated Testing
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 LambdaTest

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

LambdaTest Reviews

  1. Alina-Novikava
    · Software QA Engineer at uTest ·
    LambdaTest an essential tool for cross browser compatibility

    Initially we were skeptical whether a cloud infrastructure would be able to give us the flexibility, speed and browser coverage we need for our agile sprints. But LambdaTest has been a complete value for money to us.

    They usually get the latest browsers on-board under 2 weeks time and are never compromising the experience over legacy browsers at the same time. The machines are quick to load and we rely heavily over the Monday integration, it helps us share screenshots instantly among ourselves without having to be stuck in long email chains.

    We have been using LambdaTest for around 8 months and it has been so far so good.

    🏁 Competitors: Sauce Labs, CrossBrowserTesting
    👍 Pros:    Underpass app, very helpful for local testing on development environment|Stability is good, downtimes are notified if any|Up to date with latest browsers and os like safari 14, macos big sur|Integrations with monday, jira, and more prominent tools
    👎 Cons:    Need more devices for screenshot testing|Would love to see mobile application testing
  2. Lee Jelley
    · DevOps & Cloud Engineer at Contino ·
    LambdaTest Our Go-To Platform For Selenium Testing

    LambdaTest has made our testing process less tedious with automated parallel testing. Builds that took days to complete with in-house infrastructure were executed in a couple hours. Parallel testing has helped us with faster feedback loops to scale up our go to market efforts.

    Having a global user base we have active traffic from varied locations and testing on multiple platforms and browsers is a continuous process for the team. The feature that stands out for us is geolocation testing, all you need to do is run the capabilities and test the website for the desired location. We use Azure Pipelines for CI/CD and LambdaTest extension for Azure has helped us get a seamless testing experience for our privately hosted projects. Thanks to that we are now able to easily ensure browser compatibility for all the changes before we move them to Prod. Kudos to the team!

    🏁 Competitors: Sauce Labs, CrossBrowserTesting
    👍 Pros:    Support team is very active|Extensions to perform testing with ci/cd tools like azure pipelines|Always up to date with latest browsers|Offers 70+ integrations, glad to see it integrates with jira|Affordable pricing option
    👎 Cons:    Cypress integration is missing|Native app testing is not available yet
  3. Rod Morales
    · Front End Developer at SavvyCard ·
    Easy, Useful and provides lots of data for debugging

    Have been using Lambdatest for around 6 months now, and could say that it’s a useful testing tool for our team. Offering great combinations of browsers and operating systems for you to test on and most importantly there are many types of additional logs that come with each test which helps in debugging.. Glad to see the integration with Travis CI due to which we could optimally use this tool with our CI CD pipelines directly. We were able to effectively run TestNG and Selenium tests using their documentation and as an added advantage their support team is quick and helpful

    🏁 Competitors: Sauce Labs, CrossBrowserTesting
    👍 Pros:    Detailed documentation, helps you with quick implementation|Apis for extracting test run data like logs and run video|Good community to help to dig deep for possible outcomes.|Screenshot testing feature|Integration with jira
    👎 Cons:    There is a latency in a single test when compared to a local machine. maybe because of the cloud? so you have to run in parallel to cut down on testing times.

Top Selenium Alternatives
Lambdatest is a comprehensive browser automation tool that provides a cloud-based platform for automated and manual cross-browser testing. With support for a plethora of browser and OS combinations, it ensures that web applications perform consistently in various environments. Lambdatest integrates well with CI/CD pipelines, supports visual regression testing, and offers...
Source: bugbug.io
16 Best Android Emulators For PCs In 2023
LambdaTest comes with Native App Testing features that let you conduct online live interactive native mobile app testing anywhere in the world by simply uploading your .apk file. Perform cross browser testing and run your automation tests at scale.
Source: theqalead.com
Best Automation Testing Tools (Free and Paid) | July 2022
It allows us to test on the latest mobile and desktop browsers on the cloud. We can ensure our website is compatible across all browsers and devices by performing Real-time cross Browser Compatibility testing with LambdaTest.

Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than LambdaTest. While we know about 119 links to NumPy, we've tracked only 10 mentions of LambdaTest. 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 (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

LambdaTest mentions (10)

  • Testing Transformed: QA’s New Role in Digital Transformation
    AI-Powered Testing: You’ve heard enough about this on LinkedIn & elsewhere on the internet. We’ve seen enough proof that it is unlikely to be a passing cloud. I don’t have specific advice on where you can use these ML, NLP, and LLM technologies, but I already see a lot of testers beginning to use it for test case development, coding & writing emails. Tools like LambdaTest are already leveraging AI to enhance test... - Source: dev.to / 3 months ago
  • Agile Traceability: Connecting the Dots Without Slowing Down – Part 2
    Tools like LambdaTest offer automated traceability features designed to keep your workflows smooth and your team aligned with what matters most. As your projects evolve, LambdaTest scales with you, providing a simple yet effective way to connect the dots, and helping your team stay focused on delivering great results without the extra hassle. - Source: dev.to / 4 months ago
  • Pyppeteer Tutorial: The Ultimate Guide to Using Puppeteer with Python
    Import asyncio Import pytest From pyppeteer.errors import PageError From urllib.parse import quote Import os Import sys From os import environ From pyppeteer import connect, launch Exec_platform = os.getenv('EXEC_PLATFORM') Test_url = 'https://lambdatest.com/' # Selectors of the page # Pytest fixture for browser setup @pytest.fixture(scope='function') Async def browser(): if exec_platform == 'local': ... - Source: dev.to / over 1 year ago
  • Simplify Your Debugging Process With Enhanced LT Debug 2.0
    If you want to perform cross-domain Ajax requests faster, adding the (Access-Control-Allow-Origin: *) rule to your response header will allow you to do so. For example, you can bypass CORS on lambdatest.com when you turn it on while accessing the resources. - Source: dev.to / about 2 years ago
  • Testing Modern Applications With Playwright 🎭
    Const { webkit, chromium } = require('playwright'); (async () => { const browser = await chromium.launch(); const page = await browser.newPage(); // Listen for all console logs page.on('console', msg => console.log(msg.text())) // Listen for all console events and handle errors page.on('console', msg => { if (msg.type() === 'error') ... - Source: dev.to / about 2 years ago
View more

What are some alternatives?

When comparing NumPy and LambdaTest, 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.

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

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

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

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

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.