log4brains VS mm-docs-template

Compare log4brains vs mm-docs-template and see what are their differences.

Our great sponsors
  • SurveyJS - Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
log4brains mm-docs-template
6 1
1,057 7
- -
0.0 7.3
3 months ago 6 months ago
TypeScript PowerShell
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.

log4brains

Posts with mentions or reviews of log4brains. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-25.

mm-docs-template

Posts with mentions or reviews of mm-docs-template. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-10.
  • Why Your Company's Documentation Sucks
    2 projects | news.ycombinator.com | 10 Mar 2021
    This view is too much simplified. If docs where tree vs graph we would probably have at least some orgs doing it right, while there are literarily almost zero.

    Some of the important aspects of good documentation is:

    1. Narrative style. You can't do ad hoc whatever wherever and call it a day. Most people don't have it and many are quite illiterate IMO. You need to practice this and most engineers don't like that. Hell, even most seniors don't like writing tickets IME which take almost the same time as putting garbage on Slack. I created templates on both GH and GL and almost nobody uses them even tho you don't need to think about anything but follow few rules.

    2. Its quite hard to know what level of detail to put in documentation. You need a lot of experience for this - put to much, and it gets quickly outdated, put too little, and it doesn't convey much. Good documentation exists on multiple levels - as bunch of markup files "on the spot", as formal hi and low level documentation and also those are usually affecting different target groups so you actually need to design docs.

    3. Documentation is a service. It has source code, build procedure, automatic link checking, export to bunch of format, crosslinks, variables, macros, configuration for different environments, abbreviations, definitions. Its quite hard to get it right. After years of struggle on different projects I finally created my own stuff [1] that I use on all projects, for docs spanning 50-500 pages. I maintain that for years now, constantly (so yeah, its a job).

    [1]: https://github.com/majkinetor/mm-docs-template

What are some alternatives?

When comparing log4brains and mm-docs-template you can also consider the following projects:

adr-tools - Command-line tools for working with Architecture Decision Records

Doxide - Modern documentation for modern C++. Configure with YAML, output Markdown, post-process with Material for MkDocs.

vscode-front-matter - Front Matter is a CMS running straight in Visual Studio Code. Can be used with static site generators like Hugo, Jekyll, Hexo, NextJs, Gatsby, and many more...

docs - The documentation for Firefly III

documentalist - :memo: A sort-of-static site generator optimized for living documentation of software projects

mm-docs - Documentation system in a docker container using mkdocs, plantuml and many more

mdSilo-app - Lightweight Knowledge Base and Feed Reader.

pydoc-markdown - Create Python API documentation in Markdown format.

prpl - Lightweight library for building fast static sites

MkDocs - Project documentation with Markdown.

slant - Beautiful static documentation for your API

Optic - OpenAPI linting, diffing and testing. Optic helps prevent breaking changes, publish accurate documentation and improve the design of your APIs.