A Dashboard publishing solution for Data Science teams to share results with decision makers.
Run a private on-premise or cloud-based JupyterHub with extensions to instantly publish notebooks as user-friendly interactive dashboards to share with non-technical colleagues.
Reliably, instantly, and securely share data visualisations and prototypes based on any popular data science framework – not just Jupyter. Streamlit, Dash, Flask etc all work just as well.
Data Scientist creates a dashboard
Based on an existing Jupyter server, from a git repo, or uploaded files
Other Users can view
Authenticated users can see the published dashboard
Safe and user-friendly
Viewers interact with a secure and reliable clone of the original server – without seeing any code
Open Source Frameworks
Dashboards can be created based on any open source web app framework. R Shiny, Plotly Dash, Streamlit, Voila (Jupyter), Bokeh/Panel are all supported out of the box.
The core ContainDS Dashboards software is free and open source.
Professional plugins will be available for enterprise features including usage analytics, advanced user permissions, and building dashboards from external sources. Basic support for the core product is free via email and GitHub, with paid options for enterprise-level dedicated support and deployment services.