Google Colab vs. JetBrains DataSpell vs. MicroPython vs. restify 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.

A Node.js web service framework optimized for building semantically correct RESTful web services ready for production use at scale. restify optimizes for introspection and performance and is used in some of the largest Node.js deployments on Earth. Running at scale requires tracing problems back to their origin by separating noise from the signal. restify is built from the ground up with post-mortem debugging in mind. Staying true to the spec is one of the foremost goals of the project. You will see references to RFCs littered throughout GitHub issues and the codebase. restify is used by some of the industry's most respected companies to power some of the largest deployments of Node.js on planet Earth—the future of Node.js REST development. Setting up a server is quick and easy. Like many other Node. js-based REST frameworks, restify leverages a Sinatra-style syntax for defining routes and the function handlers that service those routes.