Question 1

How do I use Naas Templates to build a marketing analytics dashboard?

Accepted Answer

Find relevant templates via Naas Search or GitHub, such as those under marketing tools. Follow the IMO framework: set up Input variables like API keys, run the Model for data processing, and use the Output for visualizations or reports. Some templates may require additional Python libraries or authentication steps.

Question 2

Is Naas Templates free for commercial use?

Accepted Answer

Yes, it's open-source and free to use in commercial projects, as stated in the GitHub repository. However, ensure compliance with the licenses of any third-party APIs or libraries integrated within the templates, as some may have usage restrictions.

Question 3

Naas Templates vs. custom Jupyter notebooks – which is better for automation?

Accepted Answer

Use Naas Templates for common automation tasks like data pipelines or AI workflows to save time with pre-built, structured code. Opt for custom notebooks when you need highly specific, proprietary logic or when existing templates don't match your use case, though the IMO framework can still guide your design.

Question 4

How do I contribute a new template to Naas?

Accepted Answer

First, register for the Open Source Contributor Program and join the GitHub team. Then, create an issue, branch off, develop the notebook following the IMO framework with proper headers, and submit a pull request for review by a maintainer like Florent, as detailed in the contribution steps.

Question 5

What are the prerequisites for running Naas Templates?

Accepted Answer

You need Python and Jupyter Notebook installed. Many templates depend on additional libraries or third-party APIs, so check the Input section of each notebook for specific requirements like API keys or Python packages, and be prepared for potential setup challenges with external services.

Question 6

Can Naas Templates be used in Google Colab?

Accepted Answer

Yes, since they are standard Jupyter Notebooks, you can upload them to Google Colab. However, some templates might rely on Naas-specific features or local file paths, so you may need to adjust configurations or install dependencies manually in the Colab environment.

Question 7

How does the IMO framework improve notebook usability?

Accepted Answer

The IMO framework standardizes notebooks into Input (variables and credentials), Model (data processing functions), and Output (results and distribution), making it easier to understand, modify, and integrate templates into larger data products, as evidenced by the structured headers in every template.

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