containerssh/containerssh.github.io

The ContainerSSH website

Hosted by Cloud Native Computing Foundation · part of Linux Foundation

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containerssh/containerssh.github.io has 30+ stars and 20+ forks on GitHub, is written in Python, and was last pushed on Mar 23, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 2 hours ago
Type:Documentation / SpecificationCategory(s):Documentation ToolsDeveloper Tools
Added to GitGenius on October 15th, 2026
Created on October 23rd, 2020
Open Issues & Pull Requests: 4 (+0)
GitHub issues: Enabled
Number of forks: 24
Total Stargazers: 32 (+0)
Total Subscribers: 4 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 24.2 hours
Mean response time: 27.1 hours
90th percentile: 30.0 hours
Tracked items: 2

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Issue Activity (beta)

Open issues: 1
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 622 days
Stale 30+ days: 1
Stale 90+ days: 1

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

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  • documentation (1)

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Detailed Description

This repository contains the source code for the ContainerSSH website, a documentation site built with mkdocs and the material theme.

The repository holds the developer-facing documentation infrastructure for ContainerSSH. It uses mkdocs as the static site generator paired with the material theme to structure and render documentation content. The build process requires Python and pip to install dependencies, after which a development server can be launched locally for testing changes before deployment.

Developers contributing to ContainerSSH documentation or maintaining the website should use this repository. It suits anyone who needs to update, extend, or preview the project's developer documentation. The repository explicitly distinguishes itself as developer documentation separate from the user-facing documentation hosted at the main ContainerSSH domain.

The project maintains active development with regular updates to documentation content and structure. Build and deployment workflows are straightforward, relying on standard Python tooling and mkdocs conventions that are well-established in the documentation community.