dplyr
Efficient data manipulation package for R
Pricing
See website
Flat rate
Adoption
→StableLicense
Open Source
Data freshness
—Overview
What is dplyr?
dplyr is a powerful and intuitive package in R that simplifies common data manipulation tasks, making it easier to clean, transform, and analyze datasets.
Key differentiator
“dplyr stands out as the go-to package in R for efficient and consistent data manipulation, offering a streamlined API that simplifies common tasks.”
Capability profile
Strength Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
Fit analysis
Who is it for?
✓ Best for
Developers working with R who need to manipulate data efficiently
Data analysts looking for a consistent and powerful API for data manipulation tasks
✕ Not a fit for
Projects requiring real-time data processing or streaming capabilities
Users primarily focused on machine learning model training rather than data preparation
Cost structure
Pricing
Free Tier
None
Starts at
See website
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Alternatives
Next step
Get Started with dplyr
Step-by-step setup guide with code examples and common gotchas.