Miniforge vs miniconda reddit. Want to install Python and ML packages.
Miniforge vs miniconda reddit. --- If you have questions or are new to Python use r/LearnPython trueHands off from conda! It is a product for academics (CS and ML scientists) like R language, not for the industry. Mamba acts the same as conda in that it does the installation and dependency check, but faster. The official Python community for Reddit! Stay up to date with the latest news, packages, and meta information relating to the Python programming language. In the real life your software with interact with the outer world using normal Python packages from PyPI and mixing some packages from Conda and others from PyPI is a nightmare. Going to be using Pytorch, Tensorboard, and the standard data science libraries from python like pandas, numpy and Scikit. Want to install Python and ML packages. Maybe I don’t get exactly what anaconda vs miniconda is providing for sources, but it all seems very temperamental. Then install mamba in my base environment. Not exactly astronomical fee for not having to deal with pip. I use miniconda cause anaconda is bloated with lots of stuff I don’t always need. Suggestions? Thanks! Archived post. Miniforge: Best for users needing faster package resolution (mamba) or ARM-based CPU support (Apple Silicon, aarch64). 96 The miniforge installer is a relatively new, community-led, minimal conda installer that (as it says in its readme) "can be directly compared to Miniconda, with the added feature that conda-forge is the default channel". Hi, I’m trying to get my machine ready for some deep/machine learning. Miniforge is similar to Miniconda except the packages in the stripped down base Python environment are from the conda-forge community channel opposed to the conda channel. Anaconda, Miniconda or Miniforge for data science projects? I am a data scientist, started to using M1 Macbook Air. Why shouldn’t a >200 person company pay? It’s like $15 a head. But then I noticed that Miniforge clearly states that its M1 version is highly experimental and hasn't been tested, while Miniconda seems just to support M1 without any caveat. I was on the verge of installing Miniforge, supposing that, being a conda-forge distro, it would have better supported the Apple M1. New comments cannot be posted and votes cannot be cast. Where I left it, the versions of the various packages are out of sync and if you pull in all the right versions some package tries to build and has a compilation fail. It is unclear what is different between miniforge and Miniconda, or what the miniforge use case is. Next I create a new environment and install into that to keep things organized for my projects. What do you suggest for installling python and packages ? What is your experience with them ? Archived post. . Also as another user pointed out miniforge, mamba, conda-forge all open source and free to use. Which one of these three package managers would you recommend/which one plays best with the M1 Macs? We would like to show you a description here but the site won’t allow us. Feb 12, 2025 ยท Miniconda: Best for users who prefer a lightweight Conda setup and want to install only necessary packages. We would like to show you a description here but the site won’t allow us. zvlpuseyjonblogpnwwozpuouyqbwnkgmqqynrpvuzstlqfon