Side by side
psyplot vs VplotR
Both stand on data visualization software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.
Free plan Linux
psyplot combines scripted and GUI workflows for scientific visualization on Linux. Its format coverage, grid handling, mapping, netCDF inspection, and regression plugins make it suitable for data-focused users who prefer Python-based tools.
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VplotR focuses on specialized visualization and fragment analysis for DNA-accessibility sequencing. Its Bioconductor and ggplot2 integration, example data, and normalization options support research workflows, provided the R requirement is met.
Visit VplotRThe facts
| psyplot | VplotR | |
|---|---|---|
| Free plan | Yes | Yes |
| Open source | Not published | Not published |
| Runs on | Linux | Linux, Mac, Windows |
| Lowest paid plan | Free or on request | Free or on request |
| Plans published | 1 | 1 |
| Maker | Not published | Not published |
| Website | psyplot.github.io | jserizay.com |
| On data visualization software | #57 of 98 | #53 of 98 |
psyplot: what it does well
- Free open-source software
- Supports netCDF, GRIB, GeoTIFF, and xarray formats
- Handles unstructured ICON and UGRID grids
- GUI includes terminal and help explorer
- Regression plugin uses statsmodels and SciPy
What to know first
- Linux desktop platform only
- Requires several Python dependencies
- Some capabilities come through separate plugins
VplotR: what it does well
- Imports ATAC-seq, DNA-seq, and MNase-seq BAM files
- Creates V-plots and footprint profiles
- Supports several normalization methods
- Works with ggplot2 and Bioconductor
- Includes example sequencing datasets
What to know first
- Requires R version 4.0 or later
- It is a desktop R package, not a hosted service
- Parallel plotting requires configuring parameters and cores
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