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Jupyter for automated testing

Techniques Back
Published : May 15, 2018
NOT ON THE CURRENT EDITION
This blip is not on the current edition of the Radar. If it was on one of the last few editions, it is likely that it is still relevant. If the blip is older, it might no longer be relevant and our assessment might be different today. Unfortunately, we simply don't have the bandwidth to continuously review blips from previous editions of the Radar. Understand more
May 2018
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We're seeing some interesting reports of using Jupyter for automated testing. The ability to mix code, comments and output in the same document reminds us of FIT, FitNesse and Concordion. This flexible approach is particularly useful if your tests are data heavy or rely on some statistical analysis such as performance testing. Python provides all the power you need, but as tests grow in complexity, a way to manage suites of notebooks would be helpful.

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