If you need to work with cutting-edge python tools (e.g.from GitHub) it’s often easier to use virtualenv to control the versions you need installed.

conda environments support pip and arbitrary pip commands. So if you use pip to for example install a specific version of a library directly from github that information will be stored in your conda environment and be reproduced every time you recreate your environments.