Pip-tools Alternatives
Similar projects and alternatives to pip-tools
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dephell
:package: :fire: Python project management. Manage packages: convert between formats, lock, install, resolve, isolate, test, build graph, show outdated, audit. Manage venvs, build package, bump version.
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Scout APM
Scout APM: A developer's best friend. Try free for 14-days. Scout APM uses tracing logic that ties bottlenecks to source code so you know the exact line of code causing performance issues and can get back to building a great product faster.
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pypiserver
Minimal PyPI server for uploading & downloading packages with pip/easy_install
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sickbeard_mp4_automator
Automatically convert video files to a standardized format with metadata tagging to create a beautiful and uniform media library
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template-python-hello-world
:triangular_ruler: Python Hello World | Minimal template for Python development
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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better pip-tools alternative or higher similarity.
Reviews and mentions
Posts with mentions or reviews of pip-tools.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-10-30.
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Do you recommend using Pipenv or the default VirtualEnv for Django + Docker setup?
pip-tools is probably something I should start using though.
pip-tools pins dependencies, and underlying dependencies, just like Poetry and Pipenv. Read the docs at https://github.com/jazzband/pip-tools for details.
To manage my dependencies I use pip-tools. I don't like Pipenv or Poetry because in my IMHO they do too much trying to simultaneously manage the virtualenv and dependency updates. See this article which shows how to use all three in Docker.
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Update on FSD Beta v10 per Elon
can't really help you there, the closest I found is using pip-tools (https://github.com/jazzband/pip-tools) and using the requirements.txt file in your CI job run
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Made a Linkedin Bot :)
A word of warning. If you aren't locking down what version of what package you have on your requirements.txt, then a future install may break your app due to an incompatible package. Either lock down your versions, keep track of your packages. I also recommend that when you get comfortable with setting your pip reqs, that you look at pip-tools -> https://github.com/jazzband/pip-tools
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Python Best Practices for a New Project in 2021
With pip-tools.
https://github.com/jazzband/pip-tools
And you can still use standard setup.cuff and pip install -e unlike Poetry. Also, much faster.
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Git and Python Environments
That's one way, although i'd advice using https://github.com/jazzband/pip-tools
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Using pip-tools for local development with Docker
You can check the pip-tools documentation for available commands and options. For example, how to upgrade a particular library. It is a pretty simple yet powerful tool.
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Pipenv: promises a lot, delivers very little
The second is that, as you said, it doesn't provide pinning: requirements.txt specifies top-level dependencies and version ranges, but not transitive dependencies, and not pinning. The out-of-the-box solution is to run pip freeze, which looks at the list of currently installed packages and turns that into a new requirements.txt file with exact versions. But then you've lost your original requirements.txt (which is a lot easier to maintain and communicates your intent a lot better), or you have two requirements files that you have to maintain. There's a popular add-on called pip-tools that helps with this; it provides simple tools and commands for updating pinned packages to their newest versions and for keeping the pinned requirements (which it keeps in requirements.txt) and developer-maintained requirements (which it calls requirements.in by convention) in sync.
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What virtual environment system do you use for your Django projects and why? (venv, pipenv, pyenv, etc )
i used before pyenv + pyenv-virtualenv and for complement and have a clean venv em every project, (pip-tools)[https://github.com/jazzband/pip-tools] that is older than pipenv and poetry, more faster and maintain the package versions updated, synchronized and without unneeded packages.
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Pipenv: Python Dev Workflow for Humans
The lock file shortcoming is better remedied by pip-tools [1] as mentioned in a sibling thread.
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pip drops support for Python 2
And they can finally use f-strings: https://github.com/jazzband/pip-tools/pull/1243/files !
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node.example.com Is An IP Address
instead of editing requirements.txt manually, use pip-tools and edit requirements.in with your core dependencies. this generates requirements.txt with comments for you to follow the dependency chain
Stats
Basic pip-tools repo stats
13
5,341
8.9
1 day ago
jazzband/pip-tools is an open source project licensed under BSD 3-clause "New" or "Revised" License which is an OSI approved license.
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