R vs pip: 30 Metrics Comparison

R vs pip: 30 Metrics Comparison. R is a Multi-paradigm programming language first appeared in 1993, designed by Ross Ihaka, Robert Gentleman. Main use cases: Data Science, Scientific Computing, Statis

R vs pip

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.

pip

pip is a Declarative, Imperative programming language first appeared in 2008, designed by Ian Bicking. Main use cases: Package Management, Dependency Resolution.

30 Metrics

MetricRpip
GitHub Stars5830260452
Stack Overflow Tags729989737265
TIOBE Rank3621
RedMonk Rank2028
PYPL Rank2423
Average Salary (USD)122736125630
Job Postings3832936286
Benchmarks Score1.00.79
Learning CurveHardHard
Community SizeVery LargeVery Large
Documentation Quality88
Ecosystem Maturity108
Industry Adoption88
Type System Complexity910
Concurrency Support86
Performance - Execution Speed87
Performance - Memory Usage98
Performance - Startup Time88
Tooling Quality89
Package Manager Quality98
IDE Support88
Debugging Experience910
GitHub Stars Rank2017
Stack Overflow Tags Rank2523
Average Salary Rank2319
Job Postings Rank2225
Benchmarks Rank434
Learning Curve Score21
Community Size Score910
AHP Score7.667.44

AHP Score

  • R: 7.66 (#23)
  • pip: 7.44 (#27)
R               | ######## 7.66
pip             | ####### 7.44

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.

When to choose pip

Package Management, Dependency Resolution. pip is a Declarative, Imperative programming language first appeared in 2008, designed by Ian Bicking. Main use cases: Package Management, Dependency Resolution.

Hello World Example

R:

print('Hello, World!')

pip:

pip install requests

Other languages