---
Type: desktop-application
ID: gnovi-studio.desktop
Package: python3-gnovi-studio
Name:
C: GNOVI Studio
Summary:
C: Scientific Plotting & Analysis Studio
fr-FR: Studio pour l'analyse scientifique & le tracé de courbes
Description:
C: |-
<p>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.</p>
en: |-
<p>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.</p>
Categories:
- Education
- Science
Icon:
cached:
- name: python3-gnovi-studio_gnovi-studio-logo.jxl
width: 64
height: 64
Launchable:
desktop-id:
- gnovi-studio.desktop
