Package: wnpp Severity: wishlist Owner: Georges Khaznadar <[email protected]> X-Debbugs-Cc: [email protected], [email protected]
* Package name : gnovi-studio Version : 0.9.0 Upstream Contact: Praveen (Gnovi) wavicles <https://github.com/wavicles> * URL : https://github.com/sposh-science/GNOVI-Studio * License : GPL-3+ Programming Lang: Python3 Description : Scientific Plotting & Analysis Studio 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. -------------------------------------------------- I intend to maintain this package under the umbrella of science team.
