Python and pip, list all versions of a package that's available?


Question

Given the name of a Python (2.X) package that can be installed with pip and virtualenv, is there any way to find out a list of all the possible versions of it that pip could install? Right now it's trial and error.

I'm trying to install a version for a third party library, but the newest version is too new, there were backwards incompatible changes made. So I'd like to somehow have a list of all the versions that pip knows about, so that I can test them.

1
354
4/8/2016 6:52:31 PM

Accepted Answer

The script at pastebin does work. However it's not very convenient if you're working with multiple environments/hosts because you will have to copy/create it every time.

A better all-around solution would be to use yolk, which is available to install with pip. E.g. to see what versions of Django are available:

$ pip install yolk3k
$ yolk -V django
Django 1.3
Django 1.2.5
Django 1.2.4
Django 1.2.3
Django 1.2.2
Django 1.2.1
Django 1.2
Django 1.1.4
Django 1.1.3
Django 1.1.2
Django 1.0.4

A minor caveat: yolk depends on distribute. This is not a bad thing, but it may be a problem if you need for some reason to stick with (the deprecated) python setuptools.

Note: I am not involved in the development of yolk. If something doesn't seem to work as it should, leaving a comment here should not make much difference. Use the yolk issue tracker instead and consider submitting a fix, if possible.

152
10/18/2018 4:25:29 AM

For pip >= 9.0 use

$ pip install pylibmc==
Collecting pylibmc==
  Could not find a version that satisfies the requirement pylibmc== (from 
  versions: 0.2, 0.3, 0.4, 0.5.1, 0.5.2, 0.5.3, 0.5.4, 0.5.5, 0.5, 0.6.1, 0.6, 
  0.7.1, 0.7.2, 0.7.3, 0.7.4, 0.7, 0.8.1, 0.8.2, 0.8, 0.9.1, 0.9.2, 0.9, 
  1.0-alpha, 1.0-beta, 1.0, 1.1.1, 1.1, 1.2.0, 1.2.1, 1.2.2, 1.2.3, 1.3.0)
No matching distribution found for pylibmc==

– all the available versions will be printed without actually downloading or installing any additional packages.

For pip < 9.0 use

pip install pylibmc==blork

where blork can be any string that is not likely to be an install candidate.


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