wordpress-docker-compose VS self-hosted

Compare wordpress-docker-compose vs self-hosted and see what are their differences.

wordpress-docker-compose

Easy Wordpress development with Docker and Docker Compose (by nezhar)

self-hosted

Sentry, feature-complete and packaged up for low-volume deployments and proofs-of-concept (by getsentry)
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wordpress-docker-compose self-hosted
4 28
1,762 7,226
- 2.2%
3.4 9.0
about 2 months ago 6 days ago
Shell Shell
MIT License 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.

wordpress-docker-compose

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

self-hosted

Posts with mentions or reviews of self-hosted. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-05.

What are some alternatives?

When comparing wordpress-docker-compose and self-hosted you can also consider the following projects:

docker-airflow - Docker Apache Airflow

Sentry - Developer-first error tracking and performance monitoring

mattermost-docker - Dockerfile for mattermost in production

Code-Server - VS Code in the browser

drawio-export - Export Draw.io diagrams using docker

apprise - Apprise - Push Notifications that work with just about every platform!

docker4wordpress - Docker-based WordPress stack

zammad-docker-compose - Zammad Docker images for docker-compose

wordpress-docker - Full stack (LEMP) Wordpress docker environment for dev and production use

ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.

ols-docker-env - OpenLiteSpeed Docker Environment

JupyterLab - JupyterLab computational environment.