pigsty VS raspberrypi-homeserver

Compare pigsty vs raspberrypi-homeserver and see what are their differences.

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pigsty raspberrypi-homeserver
4 1
2,769 45
- -
9.6 10.0
8 days ago 7 months ago
Shell Shell
GNU Affero General Public License v3.0 Apache License 2.0
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.

pigsty

Posts with mentions or reviews of pigsty. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-24.

raspberrypi-homeserver

Posts with mentions or reviews of raspberrypi-homeserver. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing pigsty and raspberrypi-homeserver you can also consider the following projects:

pimod - Reconfigure Raspberry Pi images with an easy, Docker-like configuration file

cloudflare-ufw - Script to update UFW with Cloudflare IPs

postgresql_cluster - PostgreSQL High-Availability Cluster (based on "Patroni" and DCS "etcd" or "consul"). Automating with Ansible.

home-server-backup - Multi-purpose Backup script dedicated for Home Servers

supabase-grafana - Observability for your Supabase project, using Prometheus/Grafana

gravity-sync-docker - Launch Gravity Sync in a Docker container, and keep your PiHoles in a state of reduced entropy!

swarmprom - Docker Swarm instrumentation with Prometheus, Grafana, cAdvisor, Node Exporter and Alert Manager

mars-server - 🏡🖥️ Managed home server with Docker, Docker Compose, Make and Bash

grafana-dashboards - Set of useful grafana dashboards

spin - 🚀 Replicate your production environment locally using Docker. Just run "spin up". It's really that easy.