Top 5 Alternative (Similar) to Kaggle Code (Kernels) notebook
Kaggle Code (Kernels) notebook alternatives - Best online tools similar to Kaggle Code (Kernels) notebook. Find the top competitors of Kaggle Code (Kernels) notebook.
Run Data Science & Machine Learning Code Online | Kaggle. Kaggle Notebooks are a computational environment that enables reproducible and collaborative analysis.
Best Kaggle Code (Kernels) notebook alternatives and competitors
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.
- 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.
- 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.