NeoDash is an open source tool for visualizing your Neo4j data. It lets you group visualizations together as dashboards, and allow for interactions between reports.
Neodash supports presenting your data as tables, graphs, bar charts, line charts, maps and more. It contains a Cypher editor to directly write the Cypher queries that populate the reports. You can save dashboards to your database, and share them with others.
You can run NeoDash in one of three ways:
- You can install NeoDash into Neo4j Desktop from the graph app gallery. NeoDash will automatically connect to your active database.
- You can run NeoDash from a web browser by visiting http://neodash.graphapp.io.
- For on-prem deployments, you can build the application yourself, or pull the latest Docker image from Docker Hub.
# Run the application on http://localhost:5005
docker pull nielsdejong/neodash:latest
docker run -it --rm -p 5005:5005 nielsdejong/neodash
Windows users may need to prefix the
docker runcommand withwinpty.
See the Developer Guide for more on installing, building, and running the application.
In order to improve the code quality, we added a Prettier and a Linter to this repository.
While commiting, a pre-commit hook will be executed in order to prettify and run the Linter on your staged files. Linter warnings are currently accepted. The commands executed by this hook can be found in /.lintstagedrc.json.
There is also a dedicated linting step in the Github project pipeline in order to catch each potential inconsistency.
Don't hesitate to setup your IDE formatting feature to use the Prettier module and our defined rules (.prettierrc.json).
If you want to manually prettify all the project .ts and .tsx files, you can run yarn run format.
If you wan to manually run linting of all your .ts and .tsx files, you can run yarn run lint.
If you wan to manually run linting of all your .ts and .tsx staged files, you can run yarn run lint-staged.
NeoDash comes with built-in examples of dashboards and reports. For more details on the types of reports and how to customize them, see the User Guide.
After building a dashboard, you can chose to deploy a read-only, standalone instance for users. See Publishing for more on publishing dashboards.
If you have any questions about NeoDash, please reach out to the maintainers:
- Create an Issue on GitHub for feature requests/bugs.
- Connect with us on the Neo4j Discord.
- Create a post on the Neo4j Community Forum.
NeoDash is a free and open-source tool developed by the Neo4j community - not an official Neo4j product. If you have a need for a commercial agreement around training, custom extensions or other services, please contact the Neo4j Professional Services team.