How to Create a Dashboard from a Local Database or VPS (Virtual Private Server), you can use the following selection of frameworks or tools:
- Grafana: Grafana is an open-source platform specifically designed for creating dashboards and data visualizations.
You can connect Grafana with your local or VPS database by using a suitable plugin or datasource.
Grafana supports various types of databases such as MySQL, PostgreSQL, InfluxDB, and more.
You can select relevant queries to retrieve data from the database and create interactive graphs. - Apache Superset: Apache Superset is an open-source BI platform that allows you to create dashboards and data visualizations.
With Apache Superset, you can connect to your local or VPS database and run queries to retrieve the required data.
Apache Superset provides a wide variety of customizable charts and visualization features. - Flask or Django with graphics library: If you prefer to build custom solutions, you can use web frameworks like Flask or Django in Python.
You can connect these frameworks to your local or VPS database, and use graphing libraries like Matplotlib, Plotly, or Seaborn to create graphs based on data retrieved from the database.
Then, you can design the display and organize the graphs into a dashboard.
It is important to remember that the specific implementation and configuration will depend on your choice of framework or tools, as well as the type of database being used.
Be sure to refer to the official documentation and available resources of your chosen framework or tools for more detailed and specific guidance for your needs.
