wxyz-tpl-jinja 0.4.0

experimental Jupyter widgets for Jinja2 templates

wxyz_tpl_jinja

experimental Jupyter widgets for Jinja2 templates

Installation

Prerequisites:

• python >=3.6
• nodejs >=10
• jupyterlab >=2,<3

pip install wxyz_tpl_jinja
jupyter labextension install @jupyter-widgets/jupyterlab-manager @deathbeds/wxyz-core

---

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	JSON UnJSON
wxyz_datagrid	@deathbeds/wxyz-datagrid	datagrid	DataGrid GridStyle SelectGrid StyleGrid
wxyz_html	@deathbeds/wxyz-html	html	AlphaColorPicker File FileBox FullScreen JSONFile TextFile
wxyz_dvcs	@deathbeds/wxyz-dvcs	dvcs	repos.repo_git.Git Watcher
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	Compact Expand Flatten Frame Normalize
wxyz_lab	@deathbeds/wxyz-lab	lab	DockBox DockPop Editor Markdown Terminal ModeInfo
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
• ipyregulartable
  • a high-performance datagrid solution, supporting pandas MultiIndex-type data
• 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