YAML vs R: 30 Metrics Comparison

YAML vs R

YAML

YAML is a Declarative, Markup programming language first appeared in 2001, designed by Clark Evans. Main use cases: Data Serialization, Configuration, Interchange.

R

R is a Multi-paradigm programming language first appeared in 1993, designed by Ross Ihaka, Robert Gentleman. Main use cases: Data Science, Scientific Computing, Statistics.

30 Metrics

MetricYAMLR
GitHub Stars6101458302
Stack Overflow Tags753537729989
TIOBE Rank2236
RedMonk Rank2420
PYPL Rank3024
Average Salary (USD)129620122736
Job Postings4081538329
Benchmarks Score0.751.0
Learning CurveHardHard
Community SizeVery LargeVery Large
Documentation Quality88
Ecosystem Maturity1010
Industry Adoption108
Type System Complexity109
Concurrency Support98
Performance - Execution Speed108
Performance - Memory Usage109
Performance - Startup Time108
Tooling Quality88
Package Manager Quality89
IDE Support78
Debugging Experience79
GitHub Stars Rank1520
Stack Overflow Tags Rank2225
Average Salary Rank1123
Job Postings Rank1422
Benchmarks Rank404
Learning Curve Score12
Community Size Score109
AHP Score8.017.66

AHP Score

  • YAML: 8.01 (#18)
  • R: 7.66 (#23)
YAML            | ######## 8.01
R               | ######## 7.66

When to choose YAML

Data Serialization, Configuration, Interchange. YAML is a Declarative, Markup programming language first appeared in 2001, designed by Clark Evans. Main use cases: Data Serialization, Configuration, Interchange.

When to choose R

Data Science, Scientific Computing, Statistics, Visualization. R is a Multi-paradigm programming language first appeared in 1993, designed by Ross Ihaka, Robert Gentleman. Main use cases: Data Science, Scientific Computing, Statistics.

Hello World Example

YAML:

msg: Hello, World!

R:

print('Hello, World!')

其他语言