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Performs ANOVA, multivariate statistical distance, and bootstrap User-Friendly: Simple menu-driven interface within Excel. 📥 How to Download DDSolver
As of 2024-2025, the pharmaceutical industry is moving toward biorelevant dissolution testing and IVIVC (In Vitro-In Vivo Correlations). DDSolver’s core features are still widely used in generic drug development. The community continues to share improved versions, which is why searching for yields better results each year. ddsolverxla download top
| Feature | DDSolver | Bootf2bca / Pheq_bootstrap | Python (with libraries) | | :--- | :--- | :--- | :--- | | | Free Excel Add-in ( .xla ) | Free, specialized tools | Open-source programming language | | Accessibility | Requires Windows Excel | Often web-based | Any OS with a web browser | | Similarity Factor (f2) | Yes | Yes | Yes | | Bootstrap 90% CI for f2 | Limited / Biased for high variability data | Yes (multiple methods) | Yes (flexible implementation) | | Model Fitting | 40 built-in models | No | Yes (extensive libraries) | | Data Management | Basic (Excel-based) | Basic | Advanced (with Pandas, NumPy) | | Reporting | Automated (Word format) | Basic | Highly customizable | The community continues to share improved versions, which
| Software | Key Features | Pros | Cons | | :--- | :--- | :--- | :--- | | | Free, Excel integration, 40+ models, ( f_2 ) analysis | Free, user-friendly, extensive model library | Limited to Windows, may have compatibility issues with newer Excel versions | | KinetDS | Free, specialized for dissolution, batch analysis, advanced fitting | Free, comprehensive, active community | Steeper learning curve, less intuitive | | Phoenix WinNonlin | Industry standard, non-compartmental analysis, PK/PD modeling | Powerful, versatile, regulatory accepted | Commercial, expensive, steep learning curve | | R (with packages) | Free, open-source, highly customizable, extensive libraries | Free, flexible, large community | Requires programming knowledge, steep learning curve | ( f_2 ) analysis | Free
It calculates crucial statistical criteria for model evaluation, including R2cap R squared , Adjusted R2cap R squared
The add-in generates publication-ready graphs directly within Excel, making it easy to embed results into reports or presentations.
