guidata

Python library generating graphical user interfaces for easy dataset editing and display

https://github.com/plotpystack/guidata

Science Score: 26.0%

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

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (14.4%) to scientific vocabulary

Keywords from Contributors

closember
Last synced: 10 months ago · JSON representation

Repository

Python library generating graphical user interfaces for easy dataset editing and display

Basic Info
Statistics
  • Stars: 65
  • Watchers: 14
  • Forks: 17
  • Open Issues: 3
  • Releases: 36
Created almost 11 years ago · Last pushed 10 months ago
Metadata Files
Readme Changelog License

README.md

guidata: Automatic GUI generation for easy dataset editing and display with Python

pypi version PyPI status PyPI pyversions download count

ℹ️ Created in 2009 by Pierre Raybaut and maintained by the PlotPyStack organization.

Overview

The guidata package is a Python library generating Qt graphical user interfaces. It is part of the PlotPyStack project, aiming at providing a unified framework for creating scientific GUIs with Python and Qt.

Simple example of guidata datasets embedded in an application window:

Example

See documentation for more details on the library and changelog for recent history of changes.

Copyrights and licensing:

Features

Based on the Qt library, guidata is a Python library generating graphical user interfaces for easy dataset editing and display. It also provides helpers and application development tools for Qt (PyQt5, PySide2, PyQt6, PySide6).

Generate GUIs to edit and display all kind of objects regrouped in datasets:

  • Integers, floats, strings
  • Lists (single/multiple choices)
  • Dictionaries
  • ndarrays (NumPy's N-dimensional arrays)
  • Etc.

Save and load datasets to/from HDF5, JSON or INI files.

Application development tools:

  • Data model (internal data structure, serialization, etc.)
  • Configuration management
  • Internationalization (gettext)
  • Deployment tools
  • HDF5, JSON and INI I/O helpers
  • Qt helpers
  • Ready-to-use Qt widgets: Python console, source code editor, array editor, etc.

Dependencies and installation

Supported Qt versions and bindings

The whole PlotPyStack set of libraries relies on the Qt GUI toolkit, thanks to QtPy, an abstraction layer which allows to use the same API to interact with different Python-to-Qt bindings (PyQt5, PyQt6, PySide2, PySide6).

Compatibility table:

| guidata version | PyQt5 | PyQt6 | PySide2 | PySide6 | |----------------|-------|-------|---------|---------| | 3.0-3.5 | ✅ | ⚠️ | ❌ | ⚠️ | | Latest | ✅ | ✅ | ❌ | ✅ |

Other dependencies and installation

See Installation section in the documentation for more details.

Owner

  • Name: PlotPyStack
  • Login: PlotPyStack
  • Kind: organization
  • Location: France

The Python-Qt visualization and scientific GUI stack based on PythonQwt, guidata and plotpy

GitHub Events

Total
  • Create event: 7
  • Issues event: 23
  • Release event: 5
  • Watch event: 3
  • Delete event: 2
  • Issue comment event: 11
  • Push event: 61
  • Pull request event: 2
  • Fork event: 1
Last Year
  • Create event: 7
  • Issues event: 23
  • Release event: 5
  • Watch event: 3
  • Delete event: 2
  • Issue comment event: 11
  • Push event: 61
  • Pull request event: 2
  • Fork event: 1

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 646
  • Total Committers: 21
  • Avg Commits per committer: 30.762
  • Development Distribution Score (DDS): 0.639
Past Year
  • Commits: 192
  • Committers: 7
  • Avg Commits per committer: 27.429
  • Development Distribution Score (DDS): 0.266
Top Committers
Name Email Commits
Pierre Raybaut p****t@g****m 233
Pierre Raybaut p****t@c****r 208
Pierre Raybaut p****t@c****r 142
Morgan Pfister m****r@c****r 18
Pierre Raybaut@Jaune P****t@J****e 10
Pierre Raybaut pr@p****m 7
Virginie Le Rouzic v****c@c****r 6
berrosse b****e@f****r 4
lionel l****t@c****r 4
m.calka m****a@c****r 2
Lionel Cointot l****t@C****l 2
Ludovic Aubry l****y@c****r 1
Chris Lamb l****y@d****g 1
pierre@skynet p****e@s****t 1
Virginie Rousseau v****u@c****r 1
stonebig s****4@g****m 1
Pierre Raybaut@Skynet P****t@S****t 1
Ludovic Aubry l****m@f****r 1
stonebig s****g 1
Olaf Gainville o****e@c****r 1
convert-repo n****e@n****e 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • Total issues: 11
  • Total pull requests: 1
  • Average time to close issues: about 4 hours
  • Average time to close pull requests: 1 day
  • Total issue authors: 3
  • Total pull request authors: 1
  • Average comments per issue: 0.09
  • Average comments per pull request: 1.0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 1
Past Year
  • Issues: 11
  • Pull requests: 1
  • Average time to close issues: about 4 hours
  • Average time to close pull requests: 1 day
  • Issue authors: 3
  • Pull request authors: 1
  • Average comments per issue: 0.09
  • Average comments per pull request: 1.0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 1
Top Authors
Issue Authors
  • PierreRaybaut (13)
  • picca (2)
  • doronbehar (1)
  • cdebonnel (1)
  • MorganPfisterCodra (1)
  • stkw0 (1)
Pull Request Authors
  • xiaodaxia-2008 (1)
  • dependabot[bot] (1)
Top Labels
Issue Labels
bug (8) enhancement (6) deprecation (1)
Pull Request Labels
dependencies (1) python (1)

Packages

  • Total packages: 2
  • Total downloads:
    • pypi 8,068 last-month
  • Total dependent packages: 14
    (may contain duplicates)
  • Total dependent repositories: 42
    (may contain duplicates)
  • Total versions: 57
  • Total maintainers: 2
pypi.org: guidata

Automatic GUI generation for easy dataset editing and display

  • Versions: 53
  • Dependent Packages: 13
  • Dependent Repositories: 41
  • Downloads: 8,068 Last month
Rankings
Dependent packages count: 0.8%
Dependent repos count: 2.3%
Downloads: 3.3%
Average: 4.8%
Forks count: 8.5%
Stargazers count: 9.1%
Maintainers (2)
Last synced: 10 months ago
conda-forge.org: guidata

The guidata package is a Python library generating Qt graphical user interfaces. It is part of the PlotPyStack project, aiming at providing a unified framework for creating scientific GUIs with Python and Qt.

  • Versions: 4
  • Dependent Packages: 1
  • Dependent Repositories: 1
Rankings
Dependent repos count: 23.2%
Dependent packages count: 28.9%
Average: 32.2%
Forks count: 37.4%
Stargazers count: 39.3%
Last synced: 10 months ago

Dependencies

.github/workflows/python-package.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v3 composite
guidata/tests/data/genreqs/pyproject.toml pypi
  • NumPy >=1.21
  • QtPy >=1.9
  • h5py >=3.0
pyproject.toml pypi
  • NumPy >=1.21
  • QtPy >=1.9
  • h5py >=3.0
  • requests *
  • tomli *
requirements.txt pypi
  • Coverage *
  • NumPy >=1.21
  • PyQt5 *
  • QtPy >=1.9
  • black *
  • h5py >=3.0
  • isort *
  • pandas *
  • pillow *
  • pylint *
  • pytest *
  • pytest-cov *
  • pytest-qt *
  • pytest-xvfb *
  • python-docs-theme *
  • requests *
  • sphinx *
  • sphinx-copybutton *
  • sphinx_qt_documentation *
  • tomli *