GLPlot/CITATION.cff at main · AkarisDimitry/GLPlot · GitHub

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cff-version: 1.2.0
title: GLPlot - High-Performance GPU-Accelerated Plotting Library for Python
message: >-
  If you use GLPlot in your research, please cite it as below. Felix Riccius, Julian
  Holland and Gianmarco Ducci contributed equally to this work.
type: software
authors:
  - family-names: Lombardi
    given-names: Juan Manuel
    email: lombardi@fhi-berlin.mpg.de
    affiliation: "Fritz Haber Institute of the Max Planck Society"
    orcid: "https://orcid.org/0009-0002-3961-1426"
  - family-names: Riccius
    given-names: Felix
    orcid: "https://orcid.org/0000-0002-1331-4469"
  - family-names: Holland
    given-names: Julian
    orcid: "https://orcid.org/0000-0003-0134-1790"
  - family-names: Ducci
    given-names: Gianmarco
identifiers:
  - type: url
    value: "https://github.com/AkarisDimitry/GLPlot"
  - type: url
    value: "https://gitlab.mpcdf.mpg.de/jmlombardi/glplot"
repository-code: "https://github.com/AkarisDimitry/GLPlot"
repository: "https://github.com/AkarisDimitry/GLPlot"
url: "https://github.com/AkarisDimitry/GLPlot"
documentation: "https://github.com/AkarisDimitry/GLPlot/blob/main/README.md"
abstract: |
  GLPlot is a high-performance, GPU-accelerated plotting library for Python that provides a
  Matplotlib-compatible API with OpenGL/GLFW backend support. It efficiently handles millions
  of geometric primitives through instanced rendering and advanced density visualization techniques,
  enabling interactive scientific visualization at scale.

  Features include viewport-relative center projection for extreme zoom precision, HDR density
  accumulation for overlapping elements, and complete 2D/3D support with SSAO for enhanced depth
  perception. All visualizations maintain 60fps+ performance regardless of dataset size.
keywords:
  - plotting
  - visualization
  - GPU acceleration
  - OpenGL
  - scientific computing
  - Python
  - GLSL
  - high-performance computing
  - data visualization
license: MIT
status: "active development"
version: 0.1.7
date-released: 2026-08-18
development-status: "Beta"