vispy

Main repository for Vispy

https://github.com/vispy/vispy

Science Score: 77.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 3 DOI reference(s) in README
  • Academic publication links
    Links to: zenodo.org
  • Committers with academic emails
    19 of 202 committers (9.4%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (15.3%) to scientific vocabulary

Keywords

closember hacktoberfest opengl python visualization

Keywords from Contributors

napari qt gtk wx tk alignment flexible mesh tensors parallel-computing
Last synced: 4 months ago · JSON representation ·

Repository

Main repository for Vispy

Basic Info
  • Host: GitHub
  • Owner: vispy
  • License: other
  • Language: Python
  • Default Branch: main
  • Homepage: http://vispy.org
  • Size: 14.7 MB
Statistics
  • Stars: 3,471
  • Watchers: 115
  • Forks: 625
  • Open Issues: 375
  • Releases: 40
Topics
closember hacktoberfest opengl python visualization
Created almost 13 years ago · Last pushed 4 months ago
Metadata Files
Readme Changelog Contributing License Code of conduct Citation

README.rst

VisPy: interactive scientific visualization in Python
-----------------------------------------------------

Main website: http://vispy.org

|Build Status| |Coverage Status| |Zenodo Link| |Contributor Covenant|

----

VisPy is a **high-performance interactive 2D/3D data visualization
library**. VisPy leverages the computational power of modern **Graphics
Processing Units (GPUs)** through the **OpenGL** library to display very
large datasets. Applications of VisPy include:

-  High-quality interactive scientific plots with millions of points.
-  Direct visualization of real-time data.
-  Fast interactive visualization of 3D models (meshes, volume
   rendering).
-  OpenGL visualization demos.
-  Scientific GUIs with fast, scalable visualization widgets (`Qt `__ or
   `IPython notebook `__ with WebGL).

Releases
--------

See `CHANGELOG.md <./CHANGELOG.md>`_.

Announcements
-------------

See the `VisPy Website `_.

Using VisPy
-----------

VisPy is a young library under heavy development at this time. It
targets two categories of users:

1. **Users knowing OpenGL**, or willing to learn OpenGL, who want to
   create beautiful and fast interactive 2D/3D visualizations in Python
   as easily as possible.
2. **Scientists without any knowledge of OpenGL**, who are seeking a
   high-level, high-performance plotting toolkit.

If you're in the first category, you can already start using VisPy.
VisPy offers a Pythonic, NumPy-aware, user-friendly interface for OpenGL
ES 2.0 called **gloo**. You can focus on writing your GLSL code instead
of dealing with the complicated OpenGL API - VisPy takes care of that
automatically for you.

If you're in the second category, we're starting to build experimental
high-level plotting interfaces. Notably, VisPy now ships a very basic
and experimental OpenGL backend for matplotlib.


Installation
------------

Please follow the detailed
`installation instructions `_
on the VisPy website.

Structure of VisPy
------------------

Currently, the main subpackages are:

-  **app**: integrates an event system and offers a unified interface on
   top of many window backends (Qt4, wx, glfw, jupyter notebook,
   and others). Relatively stable API.
-  **gloo**: a Pythonic, object-oriented interface to OpenGL. Relatively
   stable API.
-  **scene**: this is the system underlying our upcoming high level
   visualization interfaces. Under heavy development and still
   experimental, it contains several modules.

   -  **Visuals** are graphical abstractions representing 2D shapes, 3D
      meshes, text, etc.
   -  **Transforms** implement 2D/3D transformations implemented on both
      CPU and GPU.
   -  **Shaders** implements a shader composition system for plumbing
      together snippets of GLSL code.
   -  The **scene graph** tracks all objects within a transformation
      graph.
-  **plot**: high-level plotting interfaces.

The API of all public interfaces are subject to change in the future,
although **app** and **gloo** are *relatively* stable at this point.

Code of Conduct
---------------

The VisPy community requires its members to abide by the
`Code of Conduct <./CODE_OF_CONDUCT.md>`_. In this CoC you will find the
expectations of members, the penalties for violating these expectations, and
how violations can be reported to the members of the community in charge of
enforcing this Code of Conduct.

Governance
----------

The VisPy project maintainers make decisions about the project based on a
simple consensus model. This is described in more detail on the
`governance page `_ of the vispy
website as well as the
`list of maintainers `_.

In addition to decisions about the VisPy project, there is also a steering
committee for the overall VisPy organization. More information about this
committee can also be found on the `steering committee page `_
of the vispy website,
along with the organization's `charter `_ and
other related documents (linked in the charter).

Genesis
-------

VisPy began when four developers with their own visualization libraries
decided to team up:
`Luke Campagnola `__ with `PyQtGraph `__,
`Almar Klein `__ with `Visvis `__,
`Cyrille Rossant `__ with `Galry `__,
`Nicolas Rougier `__ with `Glumpy `__.

Now VisPy looks to build on the expertise of these developers and the
broader open-source community to build a high-performance OpenGL library.

----

External links
--------------

-  `User mailing
   list `__
-  `Dev mailing
   list `__
-  `Chat room `__
-  `Developer chat room `__
-  `Wiki `__
-  `Gallery `__
-  `Documentation `__

.. |Build Status| image:: https://github.com/vispy/vispy/workflows/CI/badge.svg
   :target: https://github.com/vispy/vispy/actions
.. |Coverage Status| image:: https://img.shields.io/coveralls/vispy/vispy/main.svg
   :target: https://coveralls.io/r/vispy/vispy?branch=main
.. |Zenodo Link| image:: https://zenodo.org/badge/5822/vispy/vispy.svg
   :target: http://dx.doi.org/10.5281/zenodo.17869
.. |Contributor Covenant| image:: https://img.shields.io/badge/Contributor%20Covenant-2.0-4baaaa.svg
   :target: CODE_OF_CONDUCT.md

Owner

  • Name: vispy
  • Login: vispy
  • Kind: organization
  • Email: vispy@googlegroups.com

Citation (CITATION.rst)

How do I cite VisPy?
--------------------

VisPy's source code is published on Zenodo.org:

https://zenodo.org/record/4321173

DOI and citing information can be found on the right side of the Zenodo page.
Each VisPy release has its own DOI as well as the project as a whole. The
overall VisPy DOI URL is:

https://doi.org/10.5281/zenodo.592490

GitHub Events

Total
  • Create event: 10
  • Release event: 3
  • Issues event: 32
  • Watch event: 162
  • Delete event: 11
  • Issue comment event: 259
  • Push event: 36
  • Gollum event: 1
  • Pull request review comment event: 25
  • Pull request review event: 41
  • Pull request event: 68
  • Fork event: 14
Last Year
  • Create event: 10
  • Release event: 3
  • Issues event: 32
  • Watch event: 162
  • Delete event: 11
  • Issue comment event: 259
  • Push event: 36
  • Gollum event: 1
  • Pull request review comment event: 25
  • Pull request review event: 41
  • Pull request event: 68
  • Fork event: 14

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 6,339
  • Total Committers: 202
  • Avg Commits per committer: 31.381
  • Development Distribution Score (DDS): 0.835
Past Year
  • Commits: 52
  • Committers: 18
  • Avg Commits per committer: 2.889
  • Development Distribution Score (DDS): 0.731
Top Committers
Name Email Commits
Luke Campagnola l****a@g****m 1,045
Almar Klein a****n@g****m 837
Eric Larson l****d@g****m 803
David Hoese d****e@s****u 540
Siddharth Bhat s****d@g****m 394
Adam Griffiths a****s@g****m 258
Cyrille Rossant c****t@g****m 244
Lucas van Dijk i****o@r****t 210
Nicolas Rougier N****r@i****r 188
Alexandre Saint 8****t 158
Lorenzo Gaifas b****g@g****m 123
Kai Muehlbauer k****r@u****e 102
Alexander Taylor a****r@g****m 92
irwin hi@i****m 78
M S Suraj m****a@g****m 73
sylm21 s****e@e****r 49
Talley Lambert t****t@g****m 47
Ashley Anderson a****3@g****m 47
dependabot[bot] 4****] 45
Alex J. Champandard a****c@a****m 43
Max Hunter n****o@n****t 42
mfkaptan k****f@g****m 41
Thomas Robitaille t****e@g****m 37
Jarno Mielikainen J****n@s****u 32
Elliott Sales de Andrade q****t@g****m 32
Grzegorz Bokota b****b@g****m 30
Julien Rebetez j****z@h****h 26
Mark Harfouche m****e@g****m 21
GuillaumeFavelier g****r@g****m 20
Jarno Mielikainen jarno.mielikainen@ssec.wisc.edu j****n@s****u 20
and 172 more...

Issues and Pull Requests

Last synced: 4 months ago

All Time
  • Total issues: 150
  • Total pull requests: 202
  • Average time to close issues: 5 months
  • Average time to close pull requests: 3 months
  • Total issue authors: 102
  • Total pull request authors: 45
  • Average comments per issue: 6.08
  • Average comments per pull request: 4.28
  • Merged pull requests: 156
  • Bot issues: 0
  • Bot pull requests: 55
Past Year
  • Issues: 24
  • Pull requests: 68
  • Average time to close issues: about 1 month
  • Average time to close pull requests: 15 days
  • Issue authors: 19
  • Pull request authors: 14
  • Average comments per issue: 1.29
  • Average comments per pull request: 2.96
  • Merged pull requests: 51
  • Bot issues: 0
  • Bot pull requests: 19
Top Authors
Issue Authors
  • JintaoLee-Roger (9)
  • djhoese (9)
  • lej0hn (4)
  • ericyan71 (4)
  • shinyoung-yi (4)
  • SimiPixel (3)
  • petaflot (3)
  • nnop (3)
  • Czaki (3)
  • SegmentedYannig (3)
  • aganders3 (3)
  • rowanG077 (3)
  • jin9012 (2)
  • rossant (2)
  • jamestran11 (2)
Pull Request Authors
  • dependabot[bot] (69)
  • brisvag (38)
  • aganders3 (22)
  • djhoese (11)
  • Czaki (9)
  • codypiersall (6)
  • psobolewskiPhD (6)
  • tlambert03 (5)
  • hmaarrfk (5)
  • jni (4)
  • takacsmark (3)
  • soraxas (3)
  • asnt (3)
  • BenZickel (2)
  • Seon82 (2)
Top Labels
Issue Labels
type: bug (8) type: question (8) component: visuals (7) type: enhancement (6) priority: high (4) component: scene (3) build (3) code-quality (1) component: app (1) type: example (1) type: performance (1) dependencies (1)
Pull Request Labels
dependencies (71) component: visuals (36) type: bug (36) type: enhancement (31) build (20) code-quality (12) component: app (11) type: performance (11) github_actions (11) component: scene (9) docs-website (8) component: color (4) component: gloo (4) component: gl (3) type: example (2) component: util (2)

Packages

  • Total packages: 5
  • Total downloads:
    • npm 4 last-month
    • pypi 141,021 last-month
  • Total docker downloads: 815
  • Total dependent packages: 91
    (may contain duplicates)
  • Total dependent repositories: 310
    (may contain duplicates)
  • Total versions: 119
  • Total maintainers: 4
pypi.org: vispy

Interactive visualization in Python

  • Versions: 42
  • Dependent Packages: 73
  • Dependent Repositories: 287
  • Downloads: 141,021 Last month
  • Docker Downloads: 815
Rankings
Dependent packages count: 0.3%
Dependent repos count: 0.9%
Downloads: 1.1%
Average: 1.1%
Docker downloads count: 2.2%
Maintainers (3)
Last synced: 4 months ago
proxy.golang.org: github.com/vispy/vispy
  • Versions: 41
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent packages count: 5.6%
Average: 5.8%
Dependent repos count: 6.0%
Last synced: 4 months ago
conda-forge.org: vispy
  • Homepage: http://vispy.org/
  • License: BSD-3-Clause
  • Latest release: 0.12.1
    published about 3 years ago
  • Versions: 27
  • Dependent Packages: 15
  • Dependent Repositories: 11
Rankings
Dependent packages count: 4.2%
Forks count: 6.6%
Average: 7.2%
Stargazers count: 7.3%
Dependent repos count: 10.6%
Last synced: 4 months ago
npmjs.org: vispy

A Custom Jupyter Widget Library using WebGL for the VisPy Python Library

  • Versions: 4
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 4 Last month
Rankings
Forks count: 1.5%
Stargazers count: 1.6%
Dependent repos count: 10.7%
Average: 18.7%
Downloads: 26.2%
Dependent packages count: 53.2%
Maintainers (1)
Last synced: 4 months ago
anaconda.org: vispy

VisPy is a Python library for interactive scientific visualization that is designed to be fast, scalable, and easy to use.

  • Homepage: https://vispy.org/
  • License: BSD-3-Clause
  • Latest release: 0.14.3
    published 10 months ago
  • Versions: 5
  • Dependent Packages: 3
  • Dependent Repositories: 11
Rankings
Dependent packages count: 9.4%
Forks count: 13.9%
Stargazers count: 14.8%
Average: 18.9%
Dependent repos count: 37.3%
Last synced: 4 months ago

Dependencies

.github/workflows/main.yml actions
  • AndreMiras/coveralls-python-action develop composite
  • actions/cache v3 composite
  • actions/checkout v3 composite
  • actions/setup-python v4 composite
  • actions/upload-artifact v3 composite
  • mamba-org/provision-with-micromamba v14 composite
  • peaceiris/actions-gh-pages v3 composite
.github/workflows/wheels.yml actions
  • actions/checkout v3 composite
  • actions/download-artifact v3 composite
  • actions/setup-python v4 composite
  • actions/upload-artifact v3 composite
  • docker/setup-qemu-action v2 composite
  • pypa/cibuildwheel v2.11.4 composite
  • pypa/gh-action-pypi-publish master composite
ci/requirements/linux_full_deps_apt.txt pypi
  • libgl1-mesa-dev *
  • libgles2-mesa-dev *
  • libglfw3-dev *
  • libglu1-mesa-dev *
  • libsdl2-2.0-0 *
  • libxi-dev *
  • mesa-utils *
  • x11-utils *
ci/requirements/linux_full_deps_conda.txt pypi
  • cmake *
  • coveralls *
  • cython *
  • decorator *
  • freetype-py *
  • glfw *
  • hsluv *
  • imageio *
  • jupyter *
  • jupyter-rfb *
  • kiwisolver *
  • matplotlib *
  • meshio *
  • networkx *
  • numpy *
  • pillow *
  • pyopengl *
  • pyqt =5
  • pysdl2 *
  • pytest *
  • pytest-cov *
  • pytest-sugar *
  • scikit-image *
  • scipy *
  • sphinx-gallery *
ci/requirements/linux_full_deps_pip.txt pypi
  • pyopengltk *
ci/requirements/linux_full_newqtdeps_apt.txt pypi
  • libegl1-mesa *
  • libgl1-mesa-dev *
  • libgles2-mesa-dev *
  • libglfw3-dev *
  • libglu1-mesa-dev *
  • libsdl2-2.0-0 *
  • libxcb-icccm4-dev *
  • libxcb-image0-dev *
  • libxcb-keysyms1 *
  • libxcb-randr0 *
  • libxcb-render-util0 *
  • libxcb-xinerama0 *
  • libxcb1 *
  • libxcb1-dev *
  • libxi-dev *
  • libxkbcommon-dev *
  • libxkbcommon-x11-dev *
  • mesa-utils *
  • x11-utils *
ci/requirements/linux_full_newqtdeps_conda.txt pypi
  • cmake *
  • coveralls *
  • cython *
  • decorator *
  • freetype-py *
  • hsluv *
  • imageio *
  • kiwisolver *
  • matplotlib-base *
  • meshio *
  • networkx *
  • numpy *
  • pillow *
  • pyopengl *
  • pytest *
  • pytest-cov *
  • pytest-sugar *
  • scikit-image *
  • scipy *
  • sphinx-gallery *
ci/requirements/linux_full_newqtdeps_pip.txt pypi
  • pyopengltk *
  • pyqt6 <6.4.0
  • pyqt6-qt6 <6.4.0
ci/requirements/linux_min_deps_conda.txt pypi
  • coveralls *
  • cython *
  • hsluv *
  • kiwisolver *
  • meshio *
  • networkx *
  • numpy *
  • numpydoc *
  • pillow *
  • pytest *
  • pytest-cov *
  • pytest-sugar *
  • scipy *
ci/requirements/linux_osmesa_deps_conda.txt pypi
  • coveralls *
  • cython *
  • hsluv *
  • imageio *
  • libglu *
  • mesalib <21.0.0
  • meshio *
  • networkx *
  • numpy *
  • pillow *
  • pytest *
  • pytest-cov *
  • pytest-sugar *
  • scipy *
ci/requirements/linux_website_deps_pip.txt pypi
  • cython *
  • myst-parser *
  • numpy *
  • numpydoc *
  • pillow *
  • pydata-sphinx-theme *
  • pyopengl *
  • pytest *
  • sphinx *
  • sphinx_bootstrap_theme *
  • sphinx_gallery *
  • sphinxcontrib-apidoc *
rtd_requirements.txt pypi
  • cython *
  • numpydoc *
  • sphinx_bootstrap_theme *
setup.py pypi
  • freetype-py *
  • hsluv *
  • kiwisolver *
  • numpy *
  • packaging *
pyproject.toml pypi