NimbleBox.ai provides three development interfaces to write code. You may choose the interface you'd like and change it during runtime.
Jupyter Notebook offers a multi-programming platform, with an enormous feature set and a rapidly growing popularity among the community, making it a standard for analysis, visualization, rapid prototyping, machine learning, and various coding practices – especially in data science.
With support for hundreds of languages, VS Code helps you be instantly productive with syntax highlighting, bracket-matching, auto-indentation, box-selection, snippets, and more. Intuitive keyboard shortcuts, easy customization, and community-contributed keyboard shortcut mappings let you navigate your code with ease.
Jupyter Lab enables users to perform work with documents such as Jupyter notebooks, text editors, and custom components, among others, in a flexible, integrated, and extensible manner. Provides all in one view.
You can learn more about Jupyter Lab in the documentation.
Additionally, the platform has integrations to the following interfaces for a better experience:
MLflow provides a powerful way to simplify and linearly expand the deployment of machine learning within the organization by tracking, reproducing, managing, and deploying models in software development.
Use File Manager whenever you need to manage your files in one place. It is useful for the basic file operations such as upload, download, and move.
Google Drive gives you the power to upload and save a range of file types — documents, photos, audio, and videos — to Google servers, or the "cloud." Drive can serve as a backup solution, or as a way to free up space on your device. Google Drive's popularity is built on useful collaborative tools and built-in integrations with Google's suite of products and services.