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Top 23 Jinja Ansible Projects
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Kargo
Stop Scripting Promotions. Start Shipping with Kargo. Kargo automates promotion across dev, staging, and prod with approval gates and verification. Open source, built by the team behind Argo CD. Download now.
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netboot.xyz
Your favorite operating systems in one place. A network-based bootable operating system installer based on iPXE.
Project mention: Bootimus – A Self-Contained PXE and HTTP Boot Server | news.ycombinator.com | 2026-06-20There's also https://netboot.xyz which is quite cool too.
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ansible-collection-hardening
This Ansible collection provides battle tested hardening for Linux, SSH, nginx, MySQL
Project mention: DevSec Ansible Collection: Hardening Linux, SSH, Nginx, MySQL | dev.to | 2026-01-31Explore the collection and contribute to a more secure future: Learn more: https://github.com/dev-sec/ansible-collection-hardening
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Ansible-NAS
Build a full-featured home server or NAS replacement with an Ubuntu box and this playbook.
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AppSignal
Monitoring that respects your time & budget. APM, error tracking, and dashboards for modern web apps. Ten-minute setup, transparent flat pricing, and support from engineers who actually use the product.
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Fast-Ansible
This repo covers Ansible with LABs: Multipass, Commands, Modules, Playbooks, Tags, Managing Files and Servers, Users, Roles, Handlers, Host Variables, Templates and details.
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ansible-role-wireguard
Ansible role for installing WireGuard VPN. Supports Ubuntu, Debian, Archlinx, Fedora, openSUSE Leap and some Redhat ES variants.
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Project mention: Can Intel finally beat ARM on performance per Watt? | news.ycombinator.com | 2026-08-08
Nice and organised work!
My only reservation wrt the core of it is that it tests the cpus on a matrix operations task, and power efficiency in this case refers specifically to doing matrix operations. This is fine if that's the kind of task one wants to optimise for, but it does not necessarily translate to general energy efficiency for a broader spectrum of tasks that most people may do most of the time.
And thus, if one wants to optimise for matrix operations, wouldn't it make sense to use apple's accelerate framework instead of blis/openblas (I think you used blis?)? I compiled hpl to use accelerate [0] on my m1 max (macbook), and ran it with settings almost identical to the original m1 max settings [1]. I get 422 Gflops vs 264 Gflops in m1 max mac studio (docker) [2]. My average draw (using a wall power meter, but not interfaced with computer to keep a log, just me looking at it) is around 55-57W (probably less because it peaked at 57W but the last half was getting around 52W). With the most conservative estimate of 57W, this gave a 7.4 Gflops/W which is second place, just below the m4 mac mini in the benchmark table. The m1 max in the original did 4 Gflops/W (at 66W).
So tbh I do not really trust the conclusion of the benchmark page, except if I miss sth. It is quite nice, organised work anyhow.
[0] https://github.com/tycho/hpl/blob/master/setup/Make.MacOSX_A...
[1] I just fixed the p:q ratio, which was prob not really meant to be 1:10 there, I assume, also judging from the settings in the other tests. I put p=2,q=4. Also I was unable to put more than 8 processes in total.
[2] The original m1 max benchmark: https://github.com/geerlingguy/top500-benchmark/issues/4
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xsrv
[mirror] Install and manage self-hosted services/applications, on your own server(s) - ansible collection and utilities
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django-keel
A versatile, production-ready Django project template for any use case Build SaaS applications, API backends, web apps, or internal tools with one template.
Project mention: Show HN: Django Keel – 10 Years of Django Best Practices in One Template | news.ycombinator.com | 2025-10-21It's configurable. The minimum quality gate check is set at 80% here: https://github.com/CuriousLearner/django-keel/blob/main/temp...
Also, to answer why ever be less than 100% is that it depends. Usually, I prefer writing behavioural & integration tests, over chasing per-line coverage which might give a false confidence.
I'm not saying getting 100% coverage is bad, but with my experience working on several different projects, I've seen that the last 10-20% is usually low-value surface.
For critical modules like auth, money, policies (business-logic), should aim at close to > 95%.
When you reach that 100% mark, in my opinion, you might have to write brittle tests which slows down your refactoring with little risk reduction.
Again, to summarize, it's not a black/white answer on having 100% or no coverage, but this differs from project to project, and generally having anything above 80% that covers the core-business logic of projects tends to work in my opinion.
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SaaSHub
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Jinja Ansible discussion
Jinja Ansible related posts
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Can Intel finally beat ARM on performance per Watt?
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Netboot.xyz
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DevSec Ansible Collection: Hardening Linux, SSH, Nginx, MySQL
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Show HN: Django Keel – 10 Years of Django Best Practices in One Template
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All Data and AI Weekly #183 - 31-March-2025
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Thoughts on having SSH allow password authentication from the Internet
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Serverless VPN Self-hosted Be your own private on-demand VPN provider
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A note from our sponsor - SaaSHub
www.saashub.com | 9 Sep 2026
Index
What are some of the best open-source Ansible projects in Jinja? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | kubespray | 18,715 |
| 2 | netboot.xyz | 12,221 |
| 3 | ansible-collection-hardening | 5,465 |
| 4 | Ansible-NAS | 3,778 |
| 5 | trellis | 2,575 |
| 6 | workshops | 1,867 |
| 7 | selfhost | 1,483 |
| 8 | debops | 1,419 |
| 9 | ansible-role-mysql | 1,130 |
| 10 | ansible-role-security | 958 |
| 11 | ansible-role-nginx | 894 |
| 12 | Fast-Ansible | 769 |
| 13 | ansible-role-k3s | 714 |
| 14 | ansible-role-nginx | 702 |
| 15 | ansible-role-wireguard | 695 |
| 16 | ansible-role-hardening | 639 |
| 17 | ansible-role-kubernetes | 627 |
| 18 | ansible-role-apache | 430 |
| 19 | top500-benchmark | 423 |
| 20 | xsrv | 405 |
| 21 | django-keel | 376 |
| 22 | ansible-role-ntp | 341 |
| 23 | ansible-elk | 339 |