Based on our record, Jupyter seems to be a lot more popular than Appium. While we know about 205 links to Jupyter, we've tracked only 14 mentions of Appium. 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.
TestUI combines 2 different paradigm test automation frameworks, i.e., mobile (Appium) and desktop (Selenide), into one neat framework. In our opinion, it’s a great framework that offers vast functionality with easy-to-learn syntax, not to mention full access to Selenide methods in case something tricky needs to be done. - Source: dev.to / over 1 year ago
Espresso is Google's general recommendation, but there are other tools out there that exist like appium or kaspresso. Sure there are more, just goigle it to see what else there is. Source: over 1 year ago
Appium exists from that Selenium family. That will do the job. Https://appium.io/. Source: over 1 year ago
End-to-end testing is completely different on React Native, however. None of the Selenium-based E2E testing tools will work; neither will newer tools like Cypress or Playwright. You may have expected this - these are all DOM-based, and there’s no DOM in React Native. So instead developers will have to learn Detox or Appium. - Source: dev.to / over 1 year ago
With iOS app testing, we test our iOS application on mobile devices (emulators or real devices, depending on the use case). Here, we pass it through various testing phases to ensure that the final version has minimum or no bugs. These can include manually inspecting the application like an end-user or running an automation framework like Appium or Testsigma. - Source: dev.to / over 1 year ago
JupyterLab: JupyterLab is an interactive development environment that allows you to create and share documents containing live code, equations, visualizations, and narrative text. It's particularly well-suited for data science and research-oriented projects. - Source: dev.to / 8 days ago
Jupyter Lab web-based interactive development environment. - Source: dev.to / 19 days ago
Choosing IDE: Selecting a suitable Integrated Development Environment (IDE) is crucial for efficient coding. Consider popular options such as PyCharm, Visual Studio Code, or Jupyter Notebook. Install your preferred IDE and ensure it's configured to work with Python. - Source: dev.to / 14 days ago
Jupyter Notebooks is very popular among data people specially Python users. So, I tried to find a way to run the Groovy kernel inside a Jupyter Notebook, and to my surprise, I found a way, BeakerX! - Source: dev.to / 2 months ago
Note. Nowadays, there are many flavors of notebooks (Jupyter, VSCode, Databricks, etc.), but they’re all built on top of IPython. Therefore, the Magics developed should be reusable across environments. - Source: dev.to / 2 months ago
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.
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
Apache JMeter - Apache JMeter™.
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
Katalon - Built on the top of Selenium and Appium, Katalon Studio is a free and powerful automated testing tool for web testing, mobile testing, and API testing.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.