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forestci vs JASP

forestci

contrib.scikit-learn.org

JASP

jasp-stats.org

Side by side

FigureforestciJASP
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
Windows—Yes
macOS—Yes
LinuxYesYes
APIYes—
Plans published11
Spec score · Statistical Analysis Software8.0 (#41)8.7 (#8)
Bayesian analysisNoYes
Free planYesYes
IntegrationVersion 0.9 supports scikit-learn versions 1.0 through 1.9.JASP is integrated with the Open Science Framework (OSF).
LicenseThe repository identifies the software as licensed under the MIT open-source license.JASP is released under the GNU Affero GPL v3 license, which the download page says guarantees it will always be free.
Purposeforestci adds variance calculations and confidence intervals to scikit-learn random forest regression and classification objects.JASP is a cross-platform statistical software program with a graphical interface for conducting statistical analyses without programming.
Regression modelsYesYes
Scripting supportYesYes
Statistical testsNoYes
SupportThe repository directs software issue reports to its issue log and lists email contacts for questions, suggestions, or feedback.For feature requests, installation help, and bug reports, JASP directs users to its GitHub page; it also lists a public forum.

Plans

forestci

  • forestciFree

forestci pricing →

JASP

  • JASPFree

JASP pricing →

In their own words

forestci

forestci has no write-up on Specifiction yet; its figures are above.

Visit contrib.scikit-learn.org

JASP

JASP is free desktop statistical software for Linux, macOS, and Windows, designed to run analyses through a graphical interface without programming. It offers standard procedures in both frequentist and Bayesian forms, with modules for descriptives, t-tests, ANOVA, regression, meta-analysis, machine learning, structural equation modeling, survival, and time series. The spreadsheet-style interface uses drag-and-drop controls, and results update as analysis options change. JASP produces APA-formatted output, including tables that can be copied into a word processor, and lets users annotate results. It is integrated with the Open Science Framework and can run without an internet connection. Import formats include CSV, TSV, text, SPSS, SAS, Excel, Stata, and R files, among others. JASP requires a 64-bit operating system, about 4 GB of free disk space, and at least 4 GB of RAM; 8 GB is recommended, with 16 GB or more suggested for large datasets. Android, iOS, and iPadOS devices are not supported. The software uses the GNU Affero GPL v3 license, and its download page says it will remain free.

Visit jasp-stats.org