MavenWorks is an open-source dashboarding framework offering uniquely flexible and user-friendly ways to quickly build dashboards and analytical applications.
Parts: Highly interactive dashboards can be built with straightforward drag-and-drop and configuration from the included extensible and scriptable gallery of visual Parts such as tables, pivots, charts, sliders and dropdowns. And the Jupyter version can also optionally use any charting libraries or interactive widgets available in JupyterLab. Almost anything that can be displayed in a web page or Jupyter notebook can also be put into a Dashboard!
Layouts: Parts are laid out into dashboards using an extensible palette of tabs, free-form canvases, and docking stack panels that automatically resize to make best use of screen real-estate. The layouts can be created implicitly through WYSIWYG drag and drop or a layout "tree" can be precisely configured in a visual Designer.
Flexible Deployment options
- Standalone: MavenWorks can run purely standalone and isolated on a web-browser from any web server. No special back-end server required!
- An optional Configuration Server can serve up the standalone and allow for better sharing of dashboards and more.
- Optional JupyterLab integrations offer shared dashboard construction and embedding in Jupyter notebooks, with bindings that can run client-side or straightforwardly use a notebook's Python kermel. MavenWorks for JupyterLab also include a simple viewer for a better way to share dashboards with end-users.
You can read our documentation here on GitHub pages, where We have tutorials, reference docs, and contributor documentation. Most of the documentation is also accessible in-app using the F1 Help key.
MavenWorks is under heavy development so if you have questions or see something you don't like file an issue right here on GitHub or contact email@example.com .
Getting started Standalone
Here's a hosted Standalone app where you can start building dashboard application from scratch following the tutorials, or can navigate between pre-built examples demos to help you understand what MavenWorks can do.
Getting Started with JupyterLab
Or to install the JupyterLab extension in an existing environment simply run these commands:
$ pip install mavenworks $ jupyter serverextension enable --py mavenworks.server $ jupyter labextension install jupyterlab-mavenworks
Jupyter deployments come with several demo Notebooks and Dashboards, and scripted Part extensions that demonstrate parts of the API. Use the Start Here notebook to access these demos, and refer to our Getting Started guide or contact firstname.lastname@example.org for additional help.