Grafana Python SDK

Caleb 86 Published: 10/03/2024

Grafana Python SDK

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What is Grafana Python SDK?

Grafana is a popular open-source platform for visualizing and exploring data. It allows users to create beautiful, interactive dashboards that combine multiple data sources, including time series databases like Prometheus or InfluxDB.

The Python SDK (Software Development Kit) for Grafana is an official library that enables you to interact with the Grafana API from your Python applications. With this library, you can automate tasks related to creating and managing dashboards, panels, and data sources programmatically.

Key Features of Grafana Python SDK

Here are some of the key features of the Grafana Python SDK:

Dashboard Management: Create, update, or delete dashboards using the SDK. You can also retrieve dashboard information, such as title, description, or list of panels. Panel Management: Add, remove, or update panels within a dashboard. This includes setting panel properties like title, layout, or data source connections. Data Source Management: Interact with data sources like InfluxDB, Prometheus, or Elasticsearch. You can create, delete, or query these data sources programmatically. Alerting: Manage alerting rules and notifications for your dashboards using the SDK. Authenticating with Grafana: Use the SDK to authenticate with your Grafana instance using various methods (e.g., Basic Auth, OAuth).

Use Cases for Grafana Python SDK

The Grafana Python SDK is useful in a variety of scenarios:

Automated Reporting: Write scripts that create dashboards or update panel data based on specific conditions. Data Science Workflows: Integrate the SDK with your favorite data science libraries (e.g., Pandas, Scikit-learn) to build workflows that leverage Grafana's visualization capabilities. Infrastructure Automation: Use the SDK to manage Grafana dashboards and data sources as part of your infrastructure automation processes. Customized Dashboards: Develop custom dashboards for specific applications or industries by using the SDK to create and update dashboard content programmatically.

Getting Started with Grafana Python SDK

To start using the Grafana Python SDK, follow these steps:

Install the SDK via pip: pip install grafana-sdk Set up your Grafana instance and obtain an API token or other authentication credentials. Explore the SDK's documentation and examples to learn how to perform various actions, such as creating dashboards or updating panel data.

By leveraging the Grafana Python SDK in your projects, you can streamline workflows, automate tasks, and unlock new possibilities for working with this powerful visualization platform!

Let me know if you have any questions or would like more information on the SDK!

Can you use python with grafana github

I'm happy to help!

Yes, you can definitely integrate Python with Grafana using the GitHub API. Here's a step-by-step guide on how to do it:

Step 1: Create a Grafana Dashboard

Create a new dashboard in your Grafana instance and add any panels or widgets as needed.

Step 2: Set up a GitHub OAuth App

In your GitHub account, go to Settings > Developer settings > OAuth Apps. Create a new app with the following settings:

Name: Whatever you want (e.g., "Grafana Dash") Authorization callback URL: http://localhost/callback Redirect URI: http://localhost/callback

Step 3: Install Python and Required Libraries

On your machine, install Python and the required libraries by running:

pip install grafana-api requests

Step 4: Set up Grafana API Credentials

In a Python script, set up your Grafana API credentials using the grafana-api library. Replace <your-grafana-url> with your actual Grafana URL:

import grafana_api

api = grafana_api.GrafanaAPI('')


api.login(username='your-username', password='your-password')

Step 5: Retrieve GitHub Data

Use the requests library to fetch data from your GitHub repository. For example, to retrieve a list of commits:

import requests

url = 'https://api.github.com/repos/your-username/your-repo-name/commits'


response = requests.get(url)


if response.status_code == 200:


commits = response.json()

Do something with the commits data (e.g., update a Grafana panel)

else:


print('Error fetching GitHub data:', response.status_code)

Step 6: Update your Grafana Dashboard

Using the grafana-api library, update your Grafana dashboard with the retrieved data. For example, to update a panel with the commit data:

panel_id = 'your-panel-id'

api.update_panel(panel_id, {'commitCount': len(commits)})

Step 7: Trigger the Script

Schedule or set up a trigger (e.g., a GitHub webhook) to run your Python script at regular intervals. This will automatically fetch and update your Grafana dashboard with new data from GitHub!

Here's an example of a complete Python script that integrates Grafana and GitHub:

import grafana_api

import requests

Set up Grafana API credentials

api = grafana_api.GrafanaAPI('')


api.login(username='your-username', password='your-password')

Retrieve GitHub data

url = 'https://api.github.com/repos/your-username/your-repo-name/commits'


response = requests.get(url)


if response.status_code == 200:


commits = response.json()

Update your Grafana dashboard with the commit data

panel_id = 'your-panel-id'


api.update_panel(panel_id, {'commitCount': len(commits)})


else:


print('Error fetching GitHub data:', response.status_code)

Feel free to modify this script to fit your specific use case. Happy integrating!

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