Top 6 browser based online code editor for Python

Google Colab or Colaboratory allows anybody to write and execute python code through the browser. Colab is a hosted Jupyter notebook service, and it requires no installation. In addition, the service allows free access to computing resources, including GPUs.

The collaborative browser-based IDE - Replit. Replit is a simple yet powerful online IDE, Editor, Compiler, Interpreter, and REPL. Code, compile, run, and host in 50+ programming languages. Run and save code anytime, anywhere on your browser. Replit works on every device with a web browser – including Chromebooks.

Replit Features

• Linting
• Debugger
• Third-party packages
• Files and live updates
• Hosting and Deployment
• Replit Classroom: Powerful tools built to teach and learn, Invite students, Autograding and progress tracking, Share code and classrooms
• Embed running code on your website or blog. 

vscode.dev brings VS Code to the browser. Open a folder on your local machine and start coding. No install required. It supports all major languages with some limitations.

• Good: For most programming languages, vscode.dev gives you code syntax colorization, text-based completions, and bracket pair colorization. Using a Tree-sitter syntax tree, we're able to provide additional experiences such as Outline/Go to Symbol and Symbol Search for popular languages such as C/C++, C#, Java, PHP, Rust, and Go.
• Better: The TypeScript, JavaScript, and Python experiences are powered by language services that run natively in the browser. With these programming languages, you'll get the "Good" experience plus rich single file completions, semantic highlighting, syntax errors, and more.
• Best: For many "webby" languages, such as JSON, HTML, CSS, and LESS, the coding experience in vscode.dev is nearly identical to the desktop (including Markdown preview!).

Turn a Git repo into a collection of interactive notebooks. With Binder, open Jupyter notebooks code repository in an executable environment, making your code immediately reproducible by anyone, anywhere. 

• Enter your repository information: Provide the GitHub repository containing Jupyter notebooks.
• Binder will build a Docker image of your repository using the requirement file.
• A JupyterHub server will host your repository's contents.

Run Data Science & Machine Learning Code Online | Kaggle. Kaggle Notebooks are a computational environment that enables reproducible and collaborative analysis.

JetBrains Datalore: A powerful environment for Jupyter notebooks.. Use smart coding assistance for Python in online Jupyter notebooks, run code on powerful CPUs and GPUs, collaborate in real-time, and easily share the results.