Based on our record, Jupyter seems to be a lot more popular than Apache JMeter. While we know about 206 links to Jupyter, we've tracked only 2 mentions of Apache JMeter. 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.
Before Jakarta EE there was Apache Jakarta which was effectively the group name for Java based projects within the Apache project. Source: about 2 years ago
If you remove Spring from the equation you need to build the servlets yourself (according to the Sevlet API). You probably package the servlets in a war-file (with some configuration files), the war-file can then be deployed in a servlet server (ie Tomcat,). The sevlet servser usually handles the thread pool and other resources (ie database connection pools) for you, so you "only" have to provide a servlet that... Source: almost 3 years ago
Interesting, I would have guessed you had used something jupyter-like: https://jupyter.org/ https://explorabl.es/all/. - Source: Hacker News / 6 days 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 / 27 days ago
Jupyter Lab web-based interactive development environment. - Source: dev.to / about 1 month 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 / about 1 month 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 / 3 months ago
locust - An open source load testing tool written in Python.
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.
soapUI - SoapUI Pro is one of the most prominent API testing platforms around, allowing developers to quickly prototype the functions of their apps and get them to market with little hassle.
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
Sauce Labs - Test mobile or web apps instantly across 700+ browser/OS/device platform combinations - without infrastructure setup.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.