We took the Jupyter notebook experience and reimagined it. Instead of traditional executable cells, CodeDown embraces the simplicity of freeform text.
Industrial-strength IDE features
CodeDown brings the tools of professional software engineers to the world of data science.
WYSIWYG editing of Markdown and LaTeX
Make your notebooks into beautiful documents with explanatory text and media
Integrated package management
Install and manage system or language packages. Fully reproducible.
Multiple programming languages
Mix and match languages like Python, R, Julia, and SQL in a single notebook.
Fully functional terminals
Monitor processes, manipulate data, and even run full text editors like Emacs and vim.
Next-level collaboration features
We believe data science collaboration should be as smooth and easy as on enterprise document systems like Google Docs
Real-time collaborative editing
Edit notebooks and terminal commands together with coworkers. Seamlessly execute code cells.
Commenting and @-mentions
Add comments to text and code. Ping co-workers with @-mention messages (coming soon)
Sharing and forking
Control access to your notebooks with fine-grained permissions. Clone other notebooks with full reproducibility.
Full edit history
View all text edits and code executions in a news feed and revert to snapshots
Discoverability
Share your work with your team on individual profile pages
Details coming soon!
Easy installation and powerful administration
CodeDown can be installed on Kubernetes infrastructure with a single command. You can easily manage and track nodes, CPUs, memory, disk usage, and more. Or, let us run it for you in hosted mode.
Centralized admin view
Easily view and manage users, sandboxes, and nodes.
Move sandboxes around between nodes
Want to run your notebook on a more powerful node? Transparently move it with the push of a button.
Custom sandboxes
Configure sandboxes to automatically load code repositories and database credentials.
Recurring execution and dashboards
Run notebooks with different parameters and generate live-updated dashboard from them.
Details coming soon!
Details coming soon!
Details coming soon!
Install today on your team's Kubernetes infrastructure