LambdaTest Reviews

1. Alina-Novikava

   · Software QA Engineer at uTest · over 4 years ago
   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 · over 4 years ago
   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 · over 4 years ago
   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.

TensorFlow Reviews

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

TensorFlow mentions (7)

• Creating Image Frames from Videos for Deep Learning Models

  Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / over 2 years ago

• Need help with a Tensorflow function

  So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: almost 3 years ago

• Help: Slow performance with windows 10 compared to Ubuntu 20.04 with TF2.7

  Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: about 3 years ago

• [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?

  I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 3 years ago

• [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?

  I have looked at this TensorFlow website and TensorFlow.org and some of the examples are written by others, and it seems that I am stuck in RNNs. What is the best way to install TensorFlow, to follow the documentation and learn the methods in RNNs in Python? Is there a good tutorial/resource? Source: about 3 years ago