Looks cool, I have a small non-open source solution for this purpose that caries this out just using different syntax. The focus there was getting jupyter noteb

Looks cool, I have a small non-open source solution for this purpose that caries this out just using different syntax. The focus there was getting jupyter notebooks and dashboards that also detail their runtime environment requirements. Compared to R, pythons imports syntax and handling is a god-sent when sharing code, but we still saw a lot of people get stuck after cloning a notebook or dashboard trying to figure out all the dependencies they needed to set up to run it. Now they just copy the notebook/dashboard and first run configures everything For them referencing both internal and external dependencies. It’s a small but important difference especially for juniors. In the future I would love for python just to support something like “import pandas==1.1.3@pypi” and having that automatically do what every python developer who works with virtual envs would do if they saw the “==1.1.3@pupi” in a comment after the import. But then obviously also supporting installs from other sources than pypi.