pguso/tslab

Interactive JavaScript and TypeScript programming with Jupyter

tslab

tslab is an interactive programming environment and REPL with Jupyter for JavaScript and TypeScript users. You can write and execute JavaScript and TypeScript interactively on browsers and save results as Jupyter notebooks.

Features

• Interactive JavaScript and TypeScript programming with Jupyter and Node.js.
• The power of types from TypeScript project.
  • Type safety even in JavaScript mode.
  • Rich code completion and code inspection thanks to types.
• Display non-text contents like images, HTML, JavaScript, SVG, etc...
• Interactive deep neural network machine learning (TensorFlow.js) and data exploration with JavaScript.
• JavaScript is 40x faster than Python.
• TypeScript 4.1 support.
  • "Optional Chaining" and "Nullish Coalescing" are supported.
• Top-level await support.
• REPL console support.

Screenshots: Code inspection (Shift-Tab) and completion (Tab)

Try tslab without installing it

Thanks to binder (mybinder.org), you can try tslab on your browsers without installing it into your system. Open a temporary Jupyter Notebook from the button above and enjoy interactive JavaScript and TypeScript programming.

Example notebooks

To learn what what we can do with JavaScript on Jupyter, view example notebooks in nbviewer.

• Getting Started
• Getting Started for JavaScript user
• Deep Learning with TensorFlow.js

If nbviewer is down, please view the notebooks on GitHub instead.

• Getting Started
• Getting Started for JavaScript user
• Deep Learning with TensorFlow.js

Installing tslab

Prerequisites

• Install Node.js (LTS or Current)
• Install Python3.x
  • tslab works with Jupyter on Python2.7.
  • But I recommend you to use Jupyter on Python3.x because the latest Jupyter does not support Python2.7
• Install the latest version of JupyterLab or Jupyter Notebook

Installing tslab

First, install tslab with npm.

npm install -g tslab

Please make sure tslab command is available in your terminal.

tslab install --version

Then, register tslab to your Jupyter environment.

tslab install [--python=python3]

By default, tslab is registered with python3 in unix-like system and python in Windows. If Jupyter is installed with a different Python in your system, please specify the python command with --python flag.

After you run tslab install, please check two kernels (jslab and tslab) are installed properly to jupyter.

$ jupyter kernelspec list
Available kernels:
  jslab      /usr/local/google/home/yunabe/.local/share/jupyter/kernels/jslab
  tslab      /usr/local/google/home/yunabe/.local/share/jupyter/kernels/tslab

Usage: JupyterLab and Jupyter Notebook

After you register tslab to Jupyter, start JupyterLab and Jupyter Notebook as usual. You can now create JavaScript and TypeScript notebooks.

# JupyterLab
# `--port=` to change the port to accept connections.
# `--ip=0.0.0.0` to accept external connections.
jupyter lab [--port=8888] [--ip=0.0.0.0]

# Jupyter Notebook
jupyter notebook

In Jupyter, you can complete code by pressing Tab and show tooltips by pressing Shift + Tab.

Usage: REPL console

You can also use tslab and Jupyter as an interactive console (REPL). To use tslab as REPL, please run jupyter console with --kernel=jslab (JavaScript) or --kernel=tslab (TypeScript).

jupyter console --kernel=tslab

Clarification

tslab is an interactive JavaScript and TypeScript programming environment on Node.js (aka Server-side JavaScript). tslab does not support code execution on browsers (aka Client-side JavaScript) at this moment.

Read more

• Advanced topics
• Developing tslab
• Internal design