MkDocs - 30 Metrics & AHP Score

Introduction

MkDocs is a Declarative, Templating programming language first appeared in 2014, designed by Tom Christie. Main use cases: Static Site Generation, Documentation, Blogging.

30 Metrics

Metric Value Rank
GitHub Stars 30025 108
Stack Overflow Tags 443342 84
TIOBE Rank 94
RedMonk Rank 94
PYPL Rank 97
Average Salary (USD) 83900 93
Job Postings 20312 102
Benchmarks Score 0.57 78
Learning Curve Medium
Community Size Medium
Documentation Quality 5
Ecosystem Maturity 6
Industry Adoption 6
Type System Complexity 5
Concurrency Support 7
Performance - Execution Speed 7
Performance - Memory Usage 8
Performance - Startup Time 6
Tooling Quality 4
Package Manager Quality 6
IDE Support 5
Debugging Experience 3
GitHub Stars Rank 108
Stack Overflow Tags Rank 84
Average Salary Rank 93
Job Postings Rank 102
Benchmarks Rank 78
Learning Curve Score 6
Community Size Score 4
AHP Score 5.39 76

Hello World Example

# Hello, World!

Main Use Cases

  • Static Site Generation
  • Documentation
  • Blogging
  • Material Theme
  • mkdocs-material

AHP Score

MkDocs AHP Score: 5.39 (#76)

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