JetBrains DataSpell vs. MicroPython vs. ReadyAPI vs. Wing Python IDE Comparison Chart

Switch between command and editor modes with a single keystroke. Navigate over cells with arrow keys. Use all of the standard Jupyter shortcuts. Enjoy fully interactive outputs – right under the cell. When editing code cells, enjoy smart code completion, on-the-fly error checking and quick-fixes, easy navigation, and much more. Work with local Jupyter notebooks or connect easily to remote Jupyter, JupyterHub, or JupyterLab servers right from the IDE. Run Python scripts or arbitrary expressions interactively in a Python Console. See the outputs and the state of variables in real-time. Split Python scripts into code cells with the #%% separator and run them individually as you would in a Jupyter notebook. Browse DataFrames and visualizations right in place via interactive controls. All popular Python scientific libraries are supported, including Plotly, Bokeh, Altair, ipywidgets, and others.

The ReadyAPI platform accelerates functional, security, and load testing of RESTful, SOAP, GraphQL and other web services right inside your CI/CD pipeline. ReadyAPI allows teams to create, manage, and execute automated functional, security, and performance tests in one centralized interface - accelerating API quality for Agile and DevOps software teams. Teams can get started by importing API definitions like OAS (Swagger) or WSDLs, testing and recording live API traffic, or virtualizing web services to remove pipeline dependencies. Create comprehensive, data-driven functional API tests without the hassle of maintaining scripts. Generate load, stress, and spike tests to validate whether your API can handle real-world traffic conditions. Secure your vulnerable APIs from XSS, malformed XML, SQL injections and more with each deployment. Remove dependencies in your testing pipeline by virtualizing RESTful, SOAP, TCP, JMS, and other web services.