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A lot of this time may be spent on downloading the dependencies to the cache. If you're doing it in docker, you likely don't have a persistent cache. I've hit this issue before. https://github.com/pypa/pipenv/issues/1785

If you configure the cache properly you might solve it, but yeah it's kinda dumb it has to do that just for locking.

There is no reason for Docker to be slower, it must be some kind of configuration issue. Containers are basically just processes and there is virtually no difference in execution times.

As I said in my other reply, Docker is more likely to have ephemeral storage for the cache. So every single lock it'll re-download the package. Whereas locally, you're likely to still have the packages cached.

This can make a difference of tens of minutes for some packages which have a 1 gigabyte (!!!) download.

I have a docker project with ~20 packages in the Pipfile, the lock step of a new `pipenv install` takes about 3 minutes.