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SciPlot Pro · In Development

Scientific statistics. From raw data to paper-ready results.

SciPlot Pro is offline scientific statistical software designed for researchers who need advanced analysis, model diagnostics, interpretation and publication-oriented reporting in one analytical workspace.

Offline AnalysisRegressionGLMMixed ModelsBayesianSurvival AnalysisPaper-ready Reporting
SciPlot Pro statistical analysis workspace

Scientific analysis workspace

More than a statistics calculator.

SciPlot Pro combines data-role assignment, statistical method selection, model fitting, diagnostics, interpretation and reporting inside one research-oriented environment.

Researchers can work directly with imported scientific data, choose appropriate analytical methods and obtain results that are easier to interpret and carry forward into manuscripts.

01 · Analysis Workspace

Define variables. Select methods. Inspect the model.

Imported datasets are presented with variable type and role controls so researchers can define predictors, responses, groups and covariates before analysis.

CSV data import

Variable-role assignment

Automatic or manual method selection

Bootstrap confidence intervals

Model diagnostics

Exportable statistical results

SciPlot Pro analysis workspace with model results and diagnostics

02 · Statistical Foundations

Classical, permutation and non-parametric analysis.

SciPlot Pro includes foundational methods alongside modern permutation-based and non-parametric approaches.

Independent-group comparison
Permutation ANOVA / Kruskal-Wallis
Student t-test
Welch t-test
One-way ANOVA
ANCOVA
Paired t-test
Wilcoxon signed-rank
Repeated-measures ANOVA
Friedman test

03 · Regression & Generalized Models

Model scientific relationships, not just group differences.

The statistical catalogue extends from ordinary regression to generalized and mixed-effects modelling for more complex scientific datasets.

SciPlot Pro regression and generalized statistical models
Correlation & Simple Regression
Multiple Regression (OLS)
Logistic Regression
Poisson GLM
Negative Binomial GLM
Linear Mixed Effects Model
Logistic Mixed Model
Poisson Mixed Model
Negative Binomial Mixed Model

04 · Advanced Analysis

Mediation, causal analysis, path models and more.

SciPlot Pro includes analytical workflows for questions that go well beyond basic hypothesis testing.

SciPlot Pro advanced modelling methods including mediation and survival analysis
Propensity Score Matching
Counterfactual Simulation
Moderation Analysis
Mediation Analysis
Parallel Mediation
Serial Mediation
Path Models
Flexible Path Analysis
PLS Regression
Hierarchical Clustering

Survival & Prediction

Analyse time-to-event data and predictive performance.

Kaplan-Meier Survival Analysis
Cox Proportional Hazards
Time-dependent ROC / AUC
Cox-based Time-dependent ROC / AUC
Risk Stratification

Bayesian & Equivalence

Inference beyond the conventional p-value.

Bayesian comparison and equivalence-testing approaches expand the analytical options available to researchers.

SciPlot Pro classical, Bayesian and equivalence statistical methods
Bayesian Two-Group Comparison
Bayesian Equivalence
TOST Equivalence Testing

Paper-ready reporting

From statistical output to scientific reporting.

SciPlot Pro does more than return a test statistic. Supported workflows provide model diagnostics, interpretation and structured reporting designed to help researchers carry results into scientific manuscripts.

Model diagnostics
Effect estimates
Confidence intervals
Model-fit information
Influence diagnostics
Paper-ready result text
Copy results
Export results

Offline by design

Scientific analysis without cloud dependence.

SciPlot Pro is being developed as offline scientific software, allowing researchers to work locally with analytical datasets and statistical workflows.

In development

The statistical catalogue continues to grow.

SciPlot Pro remains under active development. Statistical methods, diagnostics, reporting and visualisation workflows will continue to expand before wider release.