{"repo":"finos/ipyregulartable","free":true,"listed":false,"github":"https://github.com/finos/ipyregulartable","clone":"git clone https://github.com/finos/ipyregulartable.git","description":"High performance, editable, stylable datagrids in jupyter and jupyterlab","language":"JavaScript","stars":113,"topics":["jupyter","jupyter-notebook","jupyterlab","jupyterlab-extension","ipywidgets","datagrid","table","data-table","data-visualization","python"],"license":"Apache-2.0","category":"api-integrations-sdks","readme_excerpt":"ipyregulartable An ipywidgets wrapper around regular-table for Jupyter. Examples Two Billion Rows Notebook Click Events Notebook Edit Events Notebook Styling Notebook Pandas Data Model For interactive or streaming sorting, pivoting, and aggregation, see Perspective, which also uses regular-table . Series DataFrame DataFrame Row Pivots DataFrame Column Pivots DataFrame Pivot Table Installation PyPI Conda For Jupyter Notebook 5.2 or earlier, enable the classic notebook extension: Data Model Custom data models implement the abstract methods on the base DataModel class: Any DataModel object can be passed to RegularTableWidget . regular-table may make probing calls with (0, 0, 0, 0) to assess data limits. License Licensed under the Apache License 2.0. See LICENSE, NOTICE, and AUTHORS. [!NOTE] This library was generated using Copier from the Base Python Project Template.","default_branch":null,"files":null,"tree":[],"storefront":"/r/finos","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/finos/ipyregulartable/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}