Venv or anaconda?

This page summarizes the projects mentioned and recommended in the original post on /r/Python

Scout Monitoring - Free Django app performance insights with Scout Monitoring
Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.
www.scoutapm.com
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InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
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  • mamba

    The Fast Cross-Platform Package Manager (by mamba-org)

  • When you want to use conda I would actually recommend using mamba instead. Mamba is a reimplementation of conda and is much faster at resolving the environments. I can be used as a drop-in of conda and is fully compatibly with it afaik.

  • Scout Monitoring

    Free Django app performance insights with Scout Monitoring. Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.

    Scout Monitoring logo
  • conda-libmamba-solver

    The libmamba based solver for conda.

  • I didn't know conda could use the same solver, thanks for that reference. Is this through this libmamba package? https://github.com/conda-incubator/conda-libmamba-solver

  • local

    Customized scripts and files for my personal preferences and environment

  • In my dotfiles I have a script that helps me remember all of the commands and has a one-liner I use in my init.sh to install whatever version of python I want as my primary virtualenv: https://github.com/Erotemic/local/blob/main/tools/pyenv_ext/pyenv_ext_commands.sh

  • pycold

  • I also wrote a dockerfile to get pyenv setup that mirrors the way I would do it with conda: https://github.com/GERSL/pycold/blob/devel/dockerfiles/pyenv.Dockerfile

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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