DFSG, Licensing & New Packages Team

GNOVI Studio is a cross-platform Python desktop application for scientific plotting, experimental data analysis, and publication-quality figure creation.

GNOVI Studio helps researchers, students, and scientific Python users import experimental data, build multi-panel figures, and run reproducible curve-fitting analysis in a single open-source desktop application.

Overview:

GNOVI Studio is built on NumPy, SciPy, pandas, and Matplotlib, and is designed to keep the full analysis workflow — from imported data, through curve fitting, to a finished figure — transparent and reproducible. It targets researchers and students who want a dedicated plotting and analysis tool rather than assembling one from scripts and notebooks each time.

Features:

- Data import

CSV, TXT, TSV, and DAT import Preview-driven import with automatic header/data-row detection Raw and working-data workflow, so imported data is never modified in place Calculated/derived columns using mathematical expressions

- Plotting & figures

Multi-series plotting Multi-panel figures Workbenches for organizing related plots and datasets Graph Library for saving and reusing graph definitions Panel/layout and figure customization

- Analysis

Curve fitting Fit diagnostics and residual analysis Panel-scoped analysis history Add/Remove Fit Curve on a figure

- Project & output

Project save/open Undo/redo Publication-quality figure export (PNG, TIFF, SVG, PDF)

Scientific Analysis:

GNOVI Studio's curve fitting is built around a small, well-tested set of models:

Linear Polynomial Exponential Gaussian

For each fit, GNOVI reports R², adjusted R², and parameter uncertainty estimates, and provides residual diagnostics to help assess fit quality. Analysis results are kept in a persistent, panel-scoped history, and fitted curves can be added to or removed from a figure directly.

This package installs the library for Python 3.