devpi
miniforge
devpi | miniforge | |
---|---|---|
7 | 56 | |
828 | 5,356 | |
1.3% | 4.3% | |
9.3 | 7.7 | |
18 days ago | 8 days ago | |
Python | Shell | |
- | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
devpi
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Private Python Packages With devpi
There are cases where you want the flexibility of installing a python package via pip without having it available to the open public. This article will focus on using devpi to provide a self-hosted pip compatible python package server. Ubuntu will be used for the OS as it's a fairly common Linux distribution and easily available on Windows Linux Subsystem.
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Adding Virtual Environments to Git Repo
When not providing all dependencies yourself, you might suffer from people deleting the packages you depend on (IMHO a very rare scenario). If it is really that critical (hint: usually it isn't), create a local mirror of Pypi (full or only the packages you need). Devpi, Artifactory, etc. can do that or you just dump the necessary files into Cloud storage, so you have a backup.
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PyPI in a Box
devpi acts as a caching proxy for PyPI and takes a bit less setup than this. Plus, you can use it for storing your own packages in a separate index.
https://github.com/devpi/devpi
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Publishing to a private Python repository with Poetry
There are several open-source solutions for provisioning your own, personal PyPI server — for example, this can be done using pypiserver or devpi. However, configuring these services takes time and effort, and it costs money to deploy them. Instead, we’ll use Packagr, a cloud-hosted python package server that allows you to provision your own private Python package repository. It also supports NPM packages and even Docker registries and is very easy to set up. You can get started by creating a free trial account on Packagr — when you’ve created your account, you’ll see this:
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Is there away to install Packages when not online?
devpi-server will probably for the bill
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Python Best Practices for a New Project in 2021
> One should probably run their own package server like https://github.com/pypiserver/pypiserver
Never used pypiserver but I’ve had a good experience with https://github.com/devpi/devpi
- Devpi/devpi: Python PyPi staging server and packaging, testing, release tool
miniforge
- Python 3.12
- Installing Anaconda on ChromeOS using Linux
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What is the difference between chat, cai-chat, and instruct, and how to use them?
Nope they don't use venv for any of the oobabooga# variants nor is it recommended for the git version. I'm using https://github.com/conda-forge/miniforge#mambaforge-pypy3 (better version of the recommended conda) for the git variant. The oobabooga* variant uses micro/miniconda (I suck with names) which you can easily drop into with cmd_?something? and does it all internally. Like whoever built that whole environment setup for the _windows/linux/mac did a great job.
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Build llama.cpp on Jetson Nano 2GB
wget https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-Linux-aarch64.sh .
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PSA: conda-libmamba-solver can cut two hours off of your Anaconda install, but has only 47 GitHub stars. It deserves more praise.
Mambaforge!
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A quick guide to using mamba-forge for python virtual environment management
Just to further clarify: you don't need mamba to avoid the Anaconda distribution. The place you get mambaforge also supplies (and originally supplied) miniforge, which is miniconda with conda-forge set as the default channel. All the *forge installers do in this regard is automatically set conda-forge as the default (and only) channel, which is something one can do manually with miniconda.
- Recommendations for Data Science Workflow
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path issue - cannot import modules in jupyter installed via pip3 (m1 mac)
I'd recommend using miniforge if you're comfortable with CLIs, otherwise https://www.anaconda.com/.
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How to get the best Conda environment experience in Codespaces
Tip 1: To use less of your Codespaces resources start with a smaller image like Miniconda or Miniforge and install only what you need.
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Ask HN: Programs that saved you 100 hours? (2022 edition)
miniforge, no need to deal with conda environments anymore. https://github.com/conda-forge/miniforge
What are some alternatives?
pypiserver - Minimal PyPI server for uploading & downloading packages with pip/easy_install
mamba - The Fast Cross-Platform Package Manager
Poetry - Python packaging and dependency management made easy
pyenv - Simple Python version management
helm - The Kubernetes Package Manager
conda - A system-level, binary package and environment manager running on all major operating systems and platforms.
pip - The Python package installer
tensorflow_macos - TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.
warehouse - The Python Package Index
asdf - Extendable version manager with support for Ruby, Node.js, Elixir, Erlang & more