devpi
Python PyPi staging server and packaging, testing, release tool (by devpi)
conda
A system-level, binary package and environment manager running on all major operating systems and platforms. (by conda)
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devpi | conda | |
---|---|---|
7 | 30 | |
826 | 6,086 | |
3.3% | 1.4% | |
9.3 | 9.8 | |
9 days ago | 4 days ago | |
Python | Python | |
- | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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
Posts with mentions or reviews of devpi.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-07-01.
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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
conda
Posts with mentions or reviews of conda.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-02-09.
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How to Create Virtual Environments in Python
Python's venv module is officially recommended for creating virtual environments since Python 3.5 comes packaged with your Python installation. While there still are additional older tools available, such as conda and virtualenv, if you are new to virtual environments, it is best to use venv now.
- Why does creating my conda environment use so much memory?
- Installing Anaconda on ChromeOS using Linux
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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.
conda's dependency solver solves a harder problem than pip's. This quote alludes to it "Conda will never be as fast as pip, so long as we're doing real environment solves and pip satisfies itself only for the current operation." (from https://github.com/conda/conda/issues/7239). Thus mamba was created to improve performance and now conda is bringing in that performance boost.
- Is Anaconda still open source?
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How to get the best Conda environment experience in Codespaces
The other challenge I ran into sometimes was that if I was running a lower memory/storage Codespace instance, when I tried to use Conda from the command line to modify environments, the process would be killed after a few seconds. This turns out to be related to some performance issues Conda has that make it consume a lot of memory when trying to work with the conda-forge installation channel. You can always then just increase the size of the Codespace your are working with (just go to your Codespaces list and use the triple dots to change the settings for a Codespace).
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What is the status of Python 3.11?
It's worth noting that [ana]conda isn't even fully compatible yet with 3.11 (you can use it to create 3.11 environments--and you really should rather than waiting on relying on the system python--but conda itself can only run on 3.10.
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Miniconda finally released for Python 3.10
It took some time but as great Christmas present Miniconda was finally released with Python 3.10!
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TW: ZSH (and BASH?) does not show current working dir etc anymore
The September update broke it.
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Python 3.11.0 is now available
According to this this issue is high on their priority list (whatever that means).
What are some alternatives?
When comparing devpi and conda you can also consider the following projects:
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
helm - The Kubernetes Package Manager
miniforge - A conda-forge distribution.
pip - The Python package installer
PDM - A modern Python package and dependency manager supporting the latest PEP standards
warehouse - The Python Package Index
pip-tools - A set of tools to keep your pinned Python dependencies fresh.
Zappa - Serverless Python