* 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.