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@deathbeds/wxyz-dvcs

v0.5.1

Published

experimental Jupyter widgets for working with data in revision control

Downloads

9

Readme

@deathbeds/wxyz-dvcs

pypi-badge npm-badge [docs-badge]

experimental Jupyter widgets for working with data in revision control

If you just want to use @deathbeds/wxyz-dvcs in JupyterLab 3

pip install wxyz_dvcs  # or conda, or mamba

Developer Installation

The public API of the widgets in @deathbeds/wxyz-dvcs are not yet fully documented. However, it's likely that you can:

jlpm add @deathbeds/wxyz-dvcs

and then, in your widget extension:

import wxyz from '@deathbeds/wxyz-dvcs';

console.log(wxyz); // and see _something_

Legacy Installation (Pre-JupyterLab 2)

This approach is no longer recommended, and is not tested

Prerequisites:

  • python >=3.7
  • nodejs >=12
  • jupyterlab >=3,<4
jupyter labextension install @jupyter-widgets/jupyterlab-manager @deathbeds/wxyz-core @deathbeds/wxyz-dvcs
pip install wxyz_dvcs

wxyz

Experimental Widgets for JupyterLab.

| build | demo | docs | | :-----------------------: | :-------------------------: | :--------------------------------------------------------: | | build-badge | binder-badge | DOCSEXAMPLESCHANGELOGCONTRIBUTING |

Install and Use

| pip or conda install W | from wxyz.Y | import Z | powered by | | :----------------------- | -----------------: | :----------------------------------------------------------------------------------------- | ------------------------------------------ | | wxyz_core | core | JSONUnJSON | jsonpointerjsonschema | | wxyz_datagrid | datagrid | DataGridGridStyleSelectGridStyleGrid | pandaswxyz_core | | wxyz_html | html | AlphaColorPickerFileFileBoxFullScreenJSONFileTextFile | wxyz_core | | wxyz_dvcs | dvcs | repos.repo_git.GitWatcher | gitpythonwatchgodwxyz_core | | wxyz_json_e | json_e | JSONE | jsonewxyz_core | | wxyz_json_schema_form | json_schema_form | JSONSchemaForm | wxyz_core | | wxyz_jsonld | jsonld | CompactExpandFlattenFrameNormalize | pyldwxyz_core | | wxyz_lab | lab | DockBoxDockPopEditorMarkdownTerminalModeInfo | jupyterlabwxyz_core | | wxyz_svg | svg | SVGBox | wxyz_core | | wxyz_tpl_jinja | tpl_jinja | Template | jinja2wxyz_core | | wxyz_yaml | yaml | YAML | pyyamlwxyz_core |

Strongly Discouraged

wxyz_notebooks, not recommended for production use, requires all of the wxyz_* packages.

Some extra(s) dangerous dependencies are available as well

pip install wxyz_notebooks              # wxyz_*
pip install wxyz_notebooks[binder]      # everything used on binder demos, used in tests
pip install wxyz_notebooks[thirdparty]  # some casually co-tested third-party packages
pip install wxyz_notebooks[all]         # everything. it's a lot. good luck.

It is unknown whether the heavier dependencies will continue to work in the future and may carry very specific version pins which might not be solveable with any old:

  • operating system
  • version of python
  • package manager

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.

Uninstall

We're sad to see you go!

Use pip or conda to uninstall any wxyz_* packages.

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