Why Docs-as-Code is the Key to Better Software Documentation

1. MkDocs

   1 120 20,233 6.8 Python

   Project documentation with Markdown.

   

   Developing the documentation website using an open-source static site generator like Sphinx or MkDocs to build the files locally through the command line, rather than using a commercial program.

2. Judoscale

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   Save 47% on cloud hosting with autoscaling that just works. Judoscale integrates with Django, FastAPI, Celery, and RQ to make autoscaling easy and reliable. Save big, and say goodbye to request timeouts and backed-up task queues.

   

3. typesense-docsearch-scraper

   2 2 115 8.2 Python

   A fork of Algolia's awesome DocSearch Scraper, customized to index data in Typesense (an open source alternative to Algolia)

   

   Integration with A.I. tools: You can use A.I. tools to assist in drafting and reviewing documentation, enhance documentation search capabilities with tools like Algolia DocSearch and TypeSense DocSearch, and provide a support assistant chatbot like DocsBot AI that helps software users access information and troubleshoot problems.

4. Puts Debuggerer

   3 3,490 202 4.2 Ruby

   Ruby library for improved puts debugging, automatically displaying bonus useful information such as source line number and source code.

   

   Git for version control and GitHub for storing remote versions of the repository.

5. docsearch

   4 12 4,162 8.3 TypeScript

   :blue_book: The easiest way to add search to your documentation.

   

   Integration with A.I. tools: You can use A.I. tools to assist in drafting and reviewing documentation, enhance documentation search capabilities with tools like Algolia DocSearch and TypeSense DocSearch, and provide a support assistant chatbot like DocsBot AI that helps software users access information and troubleshoot problems.

6. Visual Studio Code

   5 3,119 170,269 10.0 TypeScript

   Visual Studio Code

   

   Text editors that support Docs-as-Code, such as Visual Studio Code.

7. InfluxDB

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   InfluxDB high-performance time series database. Collect, organize, and act on massive volumes of high-resolution data to power real-time intelligent systems.

   

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