Data Visualization using FastAPI and EasyCharts

There are many useful insights that can be pulled from data if visualized for consumption.

There are a number of tools in existence which can provide data visualizations, but few which allow dynamic updates via an easy to use and consume API— Enter FastAPI & EasyCharts.

A FastAPI ‘plugin’ which can be used to create dynamically updating data visualizations in a web browser via a RestAPI.

Getting Started

Lets look into how create a basic chart that tracks your host / container / pod’s CPU & Memory Utilization using EasyCharts.

Additional dependencies for scheduling & collecting resource utilization

Within the fastapi application server startup actions, the scheduler is started, and ChartServer created.

The ChartServer accepts the FastAPI server, the name of the database to store chart data, and the default path to access charts.

Right away, the API provides the ability to view, create, update, and delete charts via the API.

A chart can be created via the API, or at our application startup. Any previously created Charts are automatically available.

When a chart is created, it should be initialized with labels (y) and data (x) values.

Viewing the Chart

Only a single datapoint(x,y) exists right now, since this was added with the creation of the chart.

Like creating a table, adding data to the chart can be performed both via API or via a background task on the server.

Restart the Chart Server

Our complete code should look similar to this.

Now the scheduler should begin to add datapoints for our host’s cpu & memory utilization every minute. Watch as the graph dynamically updates.

EasyCharts supports line & bar type graphs, which can be selected.

EasyCharts provides an easy way to visualize data, especially( but not limited to) data over time.

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