Reverse Dependencies of ipywidgets

The following projects have a declared dependency on ipywidgets:

• Pandas-Data-Exploration-Utility-Package — Utility functions to help with exploratory data analysis on top the Pandas APIs
• pandas-profiling — Deprecated 'pandas-profiling' package, use 'ydata-profiling' instead
• pandas-visual-analysis — A package for interactive visual analysis in Jupyter notebooks.
• pandas3js — a pandas dataframe interface for traitlets and pythreejs
• pandasdb — A library for doing data analytics on databases in python without loading the data into memory of theclient computer
• pandasnotebooks — Widgets to analyze, manipulate dataframes from dbispipelines.
• pants-jupyter-plugin — Jupyter support for Pants projects and PEX files.
• papermill — Parameterize and run Jupyter and nteract Notebooks
• paradance — Offers a toolset for comprehensive, multi-faceted large-scale data analysis and optimizations.
• parafields — Parallel Parameter Fields for Uncertainty Quantification
• paramnb — Generate ipywidgets from Parameterized objects in the notebook
• params-FranklinLi — Command line flags alternative for Jupyter
• params-py — Command line flags alternative for Jupyter
• paramz — The Parameterization Framework
• paraphrase-metrics — Paraphrase Metrics
• paravastu — A utility package for handling files and paths, particularly with Dropbox integration.
• paravastulab — A utility package for handling files and paths, particularly with Dropbox integration.
• parcel-data-collector — no summary
• parcel-data-collector2 — no summary
• parchords-jupyter — jupyter widget with parallel coords that enables interactive sonification
• passagemath-repl — passagemath: IPython kernel, Sage preparser, doctester
• passagemath-standard-no-symbolics — passagemath: Sage library without the symbolics subsystem
• pattern-lens — no summary
• pd-replicator — Copy a pandas DataFrame to the clipboard with one click
• pdpatch — New methods for pandas DataFrame and Series.
• pdpilot — A Jupyter widget for exploring PDP and ICE plots.
• PDSUtilities — Utilities for data science in python
• peaksjs-widget — ipywidget to interact with audio waveforms through peaks.js
• penaltyblog — Library from http://pena.lt/y/blog for scraping and modelling football (soccer) data
• perfbench — perfbench measures execution time of code snippets with Timeit and uses Plotly to visualize the results.
• perfume-bench — Interactive performance benchmarking in Jupyter
• perplexed — Find out where your model is perplexed!
• persist-ext — PersIst is a JupyterLab extension to enable persistent interactive visualizations in JupyterLab notebooks.
• perspective-python — Python bindings and JupyterLab integration for Perspective
• pfse_starterkit — A module to designed to perform package installations, and verification of install,
• pharmbio — This is a Python package for interacting with Pharmb.io routine analysis.
• phenonaut — A toolkit for multiomic phenotypic space exploration.
• phitigra — A graph editor for SageMath/Jupyter
• phoenix-sdk — Python SDK for codeflare client
• phoila — A Phosphor wrapper for Voila
• photonforge — PhotonForge is a design tool that integrates with foundry PDKs to speed up the design, simulation, and verification cycle for optical components and systems.
• physicsml — A package for all physics based/related models
• pidgy — literate computing in python
• pidp_tools — A collection of visualization and analysis tools for particle identification
• piel — Photonic Integrated Electronics: microservices to codesign photonics, electronics, communications, quantum, and more.
• pigai — Pigai Api
• pigeonXT-jupyter — Quickly annotate data in Jupyter notebooks.
• pih-doc — PIH Documents service package
• pillar1 — Official package for Pillar1 company
• PiML — A low-code interpretable machine learning toolbox in Python.
• pimms-learn — Imputing (MS-based prote-) omics data using self supervised deep learning models.
• pinkfish — A backtester and spreadsheet library for security analysis.
• pint-pal — A long-lived repository for NANOGrav Pulsar Timing analysis work.
• pipefunc — A Python library for defining, managing, and executing function pipelines.
• piqtree — Python bindings for IQTree
• piscat — A high-performance library for interferometric scattering microscopy.
• piva — PIVA - Python Interactive Viewer for Arpes
• pivotpy — A description of your project
• pixano — Data-centric AI building blocks for computer vision applications
• pixelcount-samples — Pixel counting for wafer images
• pkgbox — Frequently Used Packages for Analytics
• planetarypy — Python Tools for Planetary Science
• plateaukit — Python library and utility for 3D city models by MLIT Project PLATEAU
• plenoptic — Python library for model-based stimulus synthesis.
• pliers — Multimodal feature extraction in Python
• plopp — Visualization library for Scipp
• plotlywrap — Wrapper code to generate pixel-perfect publication qualityplots with Plotly.py.
• plusdeck — Serial client for Plus Deck 2C PC Cassette Drive
• plutoplot — Python package to load PLUTO simulation data
• podpac — Pipeline for Observational Data Processing, Analysis, and Collaboration
• poincare — Simulation of dynamical systems.
• pointcloudset — Analyze large datasets of point clouds recorded over time in an efficient way
• polarimetry-lc2pkpi — Symbolic expressions that describe an aligned polarimeter vector field
• poliastro — Utilities and Python wrappers for Orbital Mechanics
• polymerist — A unified set of tools for setting up general organic polymer systems for MD within the OpenFF framework
• pomme — Probabilistic 3D Reconstruction of Spectral Line Observations.
• poniard — Streamline scikit-learn model comparison
• pop-autocar3 — AIoT AutoCar3 library for pop
• pop-serbot2 — AIoT serbot2 library for pop
• PoreFinding — PoreFinding package based on HOLE and MDAnalysis
• porespy — A set of tools for analyzing 3D images of porous materials
• portfolio-management — Portfolio Management Helper
• potentials — API database tools for accessing the NIST Interatomic Potentials Repository: explore and download interatomic potentials and computed properties.
• power-cogs — A set of useful research templates for deep learning projects
• powerbiclient — A Custom Jupyter Widget Library
• powergim — Power Grid Investment Module (PowerGIM)
• pozo — Help visualizing well log data - Herramienta para visualizar registros de pozos
• ppqueue — A Parallel Process Queue for Python.
• ppsim — A package for simulating population protocols.
• pralab-phys — Add your description here
• PREAGeoFuns — A package for geo tools used to map card score
• precision-medicine-toolbox — Precision medicine tool-box for medical imaging research
• preliz — Exploring and eliciting probability distributions.
• prenigma-automl — prenigma_automl - An open source, low-code machine learning library.
• prenigmaautoml — prenigma_automl - An open source, low-code machine learning library.
• preprocess1 — no summary
• pretty-genetic-algorithm — A genetic algorithm implementation with pretty progress updates
• pricetool — no summary
• primehub-job — Submit PrimeHub jobs easier
• primeqa — State-of-the-art Question Answering