awesome-devops
roadmap
awesome-devops | roadmap | |
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5 | 4 | |
1,708 | 2 | |
- | - | |
6.0 | 1.8 | |
about 2 months ago | over 2 years ago | |
Python | ||
Creative Commons Zero v1.0 Universal | - |
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.
awesome-devops
- Platforms, Tools, Practices & More
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Open Source projects and DevOps tools
I would start with awesome devops and drill down there to which tools and projects are open source and in go. I know that Terraform is in go, Docker itself is in go, some projects that I use like Telegraf are in go too, but a comprehensive list of all tools that can be used by devops, that are open source and in go may be huge. Is better to get a very partial list and pick from there the ones you find more interesting, both in mission and in code.
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15 DevOps and SRE Tools you Should Know About in 2023
github.com/wmariuss/awesome-devops
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How to create a Python package in 2022
Not necessarily, it just depends on how invested you are in the CI/CD pipeline for any given project, your preferences regarding self-hosting vs. cloud, and the amount of time you have to dedicate to the subject.
Strictly speaking, any tool or set of tools that allow you to trigger building & deploying/publishing artifacts in response to source control commits can be used to build a CI/CD pipeline. One could write bash scripts linked to a cron job that pulls a remote repository every n minutes and then performs some scripted actions to integrate changes between branches before building & publishing the artifact to a local SFTP server.
If you prefer a more mature solution with better documentation however, there is a (non-exhaustive) list of CI/CD tools on this awesome-devops list:
https://github.com/wmariuss/awesome-devops#continuous-integr...
- free resources
roadmap
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Python Packaging, One Year Later: A Look Back at 2023 in Python Packaging
I wish Poetry were PEP-621 compliant though. [1]
Currently, it uses a proprietary configuration group (or "tool section", as they seem to call it in `pyproject.toml` speech).
[1]: https://github.com/python-poetry/roadmap/issues/3
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How to improve Python packaging, or why 14 tools are at least 12 too many
https://github.com/python-poetry/roadmap/issues/3
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What are people using to organize virtual environments these days?
Sorry for the late reply. I cannot recall the exact source, but I found this issue in the poetry repo: https://github.com/python-poetry/roadmap/issues/3. IIUC, they are trying to make poetry compliant with PEP621 but the PR was not merged yet? Will update the original comment to add this nuance.
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How to create a Python package in 2022
I believe that Poetry does conform to PEP 518 (i.e. it specifies `[build-system]requires`), but not to the `dependencies` part of PEP 621 [1]. There are plans for this in the future though [2].
[1] https://peps.python.org/pep-0621/
[2] https://github.com/python-poetry/roadmap/issues/3
What are some alternatives?
awesome-oss-alternatives - Awesome list of open-source startup alternatives to well-known SaaS products 🚀
tox-poetry-installer - A plugin for Tox that lets you install test environment dependencies from the Poetry lockfile
d2-vscode - VSCode extension for D2 files.
sigstore-python - A Sigstore client for Python
cli-apps - The largest Awesome Curated list of CLI/TUI applications with source data organized into CSV files
publishing-python-packages - Examples and exercises for Publishing Python Packages from Manning Books 🐍 📦 ⬆️
Nuitka - Nuitka is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 3.10, and 3.11. You feed it your Python app, it does a lot of clever things, and spits out an executable or extension module.
devops-exercises - Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
pigar - :coffee: A tool to generate requirements.txt for Python project, and more than that. (IT IS NOT A PACKAGE MANAGEMENT TOOL)
pip-audit - Audits Python environments, requirements files and dependency trees for known security vulnerabilities, and can automatically fix them
awesome-recruitment - List of my favourite recruitment things 💫