wxyz
Experimental Widgets for JupyterLab.
| build | demo | docs |
|---|---|---|
 |
DOCS — EXAMPLES — CHANGELOG — CONTRIBUTING |
Install and Use
pip install W |
jupyter labextension install X |
from wxyz.Y |
import Z |
|---|---|---|---|
wxyz_core |
@deathbeds/wxyz-core |
core |
JSONUnJSON |
wxyz_datagrid |
@deathbeds/wxyz-datagrid |
datagrid |
DataGridGridStyleSelectGridStyleGrid
|
wxyz_html |
@deathbeds/wxyz-html |
html |
AlphaColorPickerFileFileBoxFullScreenJSONFileTextFile
|
wxyz_dvcs |
@deathbeds/wxyz-dvcs |
dvcs |
repos.repo_git.GitWatcher
|
wxyz_json_e |
@deathbeds/wxyz-json-e |
json_e |
JSONE |
wxyz_json_schema_form |
@deathbeds/wxyz-json-schema-form |
json_schema_form |
JSONSchemaForm |
wxyz_jsonld |
@deathbeds/wxyz-jsonld |
jsonld |
CompactExpandFlattenFrameNormalize
|
wxyz_lab |
@deathbeds/wxyz-lab |
lab |
DockBoxDockPopEditorMarkdownTerminalModeInfo
|
wxyz_svg |
@deathbeds/wxyz-svg |
svg |
SVGBox |
wxyz_tpl_jinja |
@deathbeds/wxyz-tpl-nunjucks |
tpl_jinja |
Template |
wxyz_yaml |
@deathbeds/wxyz-yaml |
yaml |
YAML |
Motivation
wxyz contains a number of "missing pieces" from the ipywidgets toolbox.
It is made up of a number of packages for Python and the browser, in this repo.
While many create pixels on the page, some are focused around configurably
transforming the traitlets of one widget to another, in the kernel, the
browser or both.
Alternatives
If you don't like wxyz, that's fine! There are a number of related tools that
might be better suited to your needs.
-
formulas
- a python-side re-implementation of an Excel/LibreOffice reactive functional programming model
-
ipyevents
- fine-grained DOM event control
-
ipylab
- a number of similar utilities as parts of
wxyz.lab, and nice support for commands, and additional lumino primitives, e.g.SplitPanel
- a number of similar utilities as parts of
-
ipyregulartable
- a high-performance datagrid solution, supporting pandas
MultiIndex-type data
- a high-performance datagrid solution, supporting pandas
-
jupyter-starters
- wizard-style project templates, driven by simple configuration, JSON Schema or notebooks
-
jupyterlab-tour
- a pleasant "guided tour" of JupyterLab via CSS selectors and JSON Schema
