mm-docs-template VS Doxide

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

Nutrient – The #1 PDF SDK Library, trusted by 10K+ developers
Other PDF SDKs promise a lot - then break. Laggy scrolling, poor mobile UX, tons of bugs, and lack of support cost you endless frustrations. Nutrient’s SDK handles billion-page workloads - so you don’t have to debug PDFs. Used by ~1 billion end users in more than 150 different countries.
www.nutrient.io
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mm-docs-template Doxide
1 -
9 77
- -
6.1 9.5
8 months ago 19 days ago
PowerShell C++
- Apache License 2.0
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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 You need a lot of experience for this - put to much, and it gets quickly outdated, put too little, and it doesn't convey much.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

Doxide

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

We haven't tracked posts mentioning Doxide yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

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

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

hyde - A front-end to Jekyll that parses C++ sources to produce and enforce out-of-line documentation

log4brains - ✍️ Architecture Decision Records (ADR) management and publication tool

poxy - Documentation generator for C++

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

ecs_benchmark - Benchmarks of common ECS (Entity-Component-System)-Frameworks in C++ (or C)

docs - The documentation for Firefly III

Klib - A standalone and lightweight C library

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

StrTk - C++ String Toolkit Library https://www.partow.net/programming/strtk/index.html

MkDocs - Project documentation with Markdown.

Better String - The Better String Library

Nutrient – The #1 PDF SDK Library, trusted by 10K+ developers
Other PDF SDKs promise a lot - then break. Laggy scrolling, poor mobile UX, tons of bugs, and lack of support cost you endless frustrations. Nutrient’s SDK handles billion-page workloads - so you don’t have to debug PDFs. Used by ~1 billion end users in more than 150 different countries.
www.nutrient.io
featured
CodeRabbit: AI Code Reviews for Developers
Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
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