Side by side
rsimsum vs stemflow
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 MacWindows
rsimsum provides a broad set of simulation-study measures, default Monte Carlo uncertainty summaries, and varied ggplot2 visualizations at no cost. Its main functional constraint is that simsum processes one estimand at a time; multisimsum is available for multiple estimands.
Visit rsimsum Free plan LinuxMacWindows
stemflow combines flexible AdaSTEM modeling with broad indexing, data, and visualization support. Its resource demands and Python focus matter when planning larger workloads.
Visit stemflowThe facts
| rsimsum | stemflow | |
|---|---|---|
| Free plan | Yes | Yes |
| Open source | Not published | Not published |
| Runs on | Mac, Windows | Linux, Mac, Windows |
| Lowest paid plan | Not published | Not published |
| Plans published | None | None |
| Maker | rsimsum | Not published |
| Website | ellessenne.github.io | chenyangkang.github.io |
| On statistical analysis software | #46 of 106 | #50 of 106 |
rsimsum: what it does well
- Free R package under GPL (>= 3)
- Monte Carlo errors and intervals by default
- Many simulation summary measures
- Extensive ggplot2 visualizations
- CRAN and GitHub installation options
What to know first
- simsum handles one estimand at a time
- Requires an R environment
- Desktop binaries listed for Windows and macOS
stemflow: what it does well
- Free Python toolkit
- Supports classification, regression, and hurdle modeling
- Imports pandas, DuckDB, and Parquet data
- Offers customizable spatial and temporal indexing
- Includes feature importance and interactive plots
What to know first
- May consume substantial computational resources
- Desktop deployment only
- Requires Python-based workflows
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