Side by side
FuzzyClass vs hal9001
Both stand on statistical analysis software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.
Free plan LinuxMacWindows
FuzzyClass focuses narrowly on fuzzy and probability-based classification in R. Its broad distribution choices and probability outputs are useful, but users needing regression or statistical testing will need other software.
Visit FuzzyClass Free plan LinuxMacWindows
hal9001 provides a focused implementation of highly adaptive lasso regression in R. Its sparse basis construction, multiple input interfaces, and CRAN distribution suit users who can work within its R dependencies.
Visit hal9001The facts
| FuzzyClass | hal9001 | |
|---|---|---|
| Free plan | Yes | Yes |
| Open source | Not published | Not published |
| Runs on | Linux, Mac, Windows | Linux, Mac, Windows |
| Lowest paid plan | Not published | Not published |
| Plans published | None | None |
| Maker | Not published | Not published |
| Website | leapigufpb.github.io | tlverse.org |
| On statistical analysis software | #53 of 106 | #49 of 106 |
FuzzyClass: what it does well
- Free MIT-licensed R package
- Provides fuzzy and non-fuzzy classifiers
- Returns labels or class-probability matrices
- Supports scripting and Bayesian analysis
- Dependencies install automatically through the shown setup
What to know first
- No statistical tests
- No regression models
- Requires R and devtools installation
- Desktop deployment only
hal9001: what it does well
- Free GPL-3 package
- Builds sparse basis-function matrices
- Handles indicator-function predictor matrices
- Supports Linux, macOS, and Windows
- CRAN binaries and documentation available
What to know first
- Requires R 3.1.0 or later
- Requires Rcpp and imported packages
- Desktop package rather than a standalone application
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