Reverse Dependencies of ipywidgets

The following projects have a declared dependency on ipywidgets:

• molflux — A foundational package for molecular predictive modelling
• mols2grid — Interactive 2D small molecule viewer
• monk-cls-test1 — Monk Classification's Gluoncv backend
• monk-cls-test2 — Monk Classification's Pytorch backend
• monk-cls-test3 — Monk Classification's Tf-Keras backend
• monk-cpu — Monk Classification - CPU - backends - pytorch, keras, gluon
• monk-cpu-test — Monk Classification - CPU - backends - pytorch, keras, gluon
• monk-cuda100 — Monk Classification Library - Cuda100 - backends - pytorch, keras, gluon
• monk-cuda100-test — Monk Classification Library - Cuda100 - backends - pytorch, keras, gluon
• monk-cuda101 — Monk Classification Library - Cuda101 - backends - pytorch, keras, gluon
• monk-cuda101-test — Monk Classification Library - Cuda101 - backends - pytorch, keras, gluon
• monk-cuda102 — Monk Classification Library - Cuda102 - backends - pytorch, keras, gluon
• monk-cuda102-test — Monk Classification Library - Cuda102 - backends - pytorch, keras, gluon
• monk-cuda90 — Monk Classification Library - Cuda90 - backends - pytorch, keras, gluon
• monk-cuda90-test — Monk Classification Library - Cuda90 - backends - pytorch, keras, gluon
• monk-cuda92 — Monk Classification Library - Cuda92 - backends - pytorch, keras, gluon
• monk-cuda92-test — Monk Classification Library - Cuda92 - backends - pytorch, keras, gluon
• monk-gluon-cpu — Monk Classification - CPU - backends - mxnet-gluon
• monk-gluon-cpu-test — Monk Classification - CPU - backends - mxnet-gluon
• monk-gluon-cuda100 — Monk Classification Library - Cuda100 - backends - mxnet-gluon
• monk-gluon-cuda100-test — Monk Classification Library - Cuda100 - backends - mxnet-gluon
• monk-gluon-cuda101 — Monk Classification Library - Cuda101 - backends - mxnet-gluon
• monk-gluon-cuda101-test — Monk Classification Library - Cuda101 - backends - mxnet-gluon
• monk-gluon-cuda102 — Monk Classification Library - Cuda102 - backends - mxnet-gluon
• monk-gluon-cuda102-test — Monk Classification Library - Cuda102 - backends - mxnet-gluon
• monk-gluon-cuda90 — Monk Classification Library - Cuda90 - backends - mxnet-gluon
• monk-gluon-cuda90-test — Monk Classification Library - Cuda90 - backends - mxnet-gluon
• monk-gluon-cuda90-test1 — Monk Classification Library - Cuda90 - backends - mxnet-gluon
• monk-gluon-cuda92 — Monk Classification Library - Cuda92 - backends - mxnet-gluon
• monk-gluon-cuda92-test — Monk Classification Library - Cuda92 - backends - mxnet-gluon
• monk-keras-cpu — Monk Classification - CPU - backends - keras
• monk-keras-cpu-test — Monk Classification - CPU - backends - keras
• monk-keras-cuda100 — Monk Classification Library - Cuda100 - backends - keras
• monk-keras-cuda100-test — Monk Classification Library - Cuda100 - backends - keras
• monk-keras-cuda101 — Monk Classification Library - Cuda101 - backends - keras
• monk-keras-cuda101-test — Monk Classification Library - Cuda101 - backends - keras
• monk-keras-cuda102 — Monk Classification Library - Cuda102 - backends - keras
• monk-keras-cuda102-test — Monk Classification Library - Cuda102 - backends - keras
• monk-keras-cuda90 — Monk Classification Library - Cuda90 - backends - keras
• monk-keras-cuda90-test — Monk Classification Library - Cuda90 - backends - keras
• monk-keras-cuda90-test1 — Monk Classification Library - Cuda90 - backends - keras
• monk-keras-cuda92 — Monk Classification Library - Cuda92 - backends - keras
• monk-keras-cuda92-test — Monk Classification Library - Cuda92 - backends - keras
• monk-pytorch-cpu — Monk Classification - CPU - backends - pytorch
• monk-pytorch-cpu-test — Monk Classification - CPU - backends - pytorch
• monk-pytorch-cuda100 — Monk Classification Library - Cuda100 - backends - pytorch
• monk-pytorch-cuda100-test — Monk Classification Library - Cuda100 - backends - pytorch
• monk-pytorch-cuda101 — Monk Classification Library - Cuda101 - backends - pytorch
• monk-pytorch-cuda101-test — Monk Classification Library - Cuda101 - backends - pytorch
• monk-pytorch-cuda102 — Monk Classification Library - Cuda102 - backends - pytorch
• monk-pytorch-cuda102-test — Monk Classification Library - Cuda102 - backends - pytorch
• monk-pytorch-cuda90 — Monk Classification Library - Cuda90 - backends - pytorch
• monk-pytorch-cuda90-test — Monk Classification Library - Cuda90 - backends - pytorch
• monk-pytorch-cuda90-test1 — Monk Classification Library - Cuda90 - backends - pytorch
• monk-pytorch-cuda92 — Monk Classification Library - Cuda92 - backends - pytorch
• monk-pytorch-cuda92-test — Monk Classification Library - Cuda92 - backends - pytorch
• morphodynamics — Cell segmentation and windowing
• morrisseau-cleaner — A Python library to clean data for Morrisseau Project
• mount-azure-blob — Mount Azure blob storage in google colab.
• mountainlab-pytools — Tools for using MountainLab with python
• mpire — A Python package for easy multiprocessing, but faster than multiprocessing
• mpl-interactions — Matplotlib aware interact functions
• mqt-qubomaker — A tool for the automatic generation and combination of QUBO formulations for specific problem classes.
• MRpro — MR image reconstruction and processing package specifically developed for PyTorch.
• ms-mint — Metabolomics Integrator (Mint)
• msaview — A set of Jupyter widgets useful for analyzing biological data.
• MSPT — MS Bias calculations using the Pascal Triangle
• msticnb — MSTIC Notebooklets
• msticpy — MSTIC Security Tools
• mt2gf — no summary
• mubind — ML for biomolecular binding
• mubody — Multi-body dynamics in libration points
• mujoco_controllers — A repository for debugging controller implementations applied to mujoco models.
• mullet — Model for the evalUation of sea-LeveL risE and Temperature (MULLET), currently a playground for exploring simple climate model setups.
• multi-label-pigeon — A way to label multi label image datasets in jupyter
• multidms — Joint modeling of multiple deep mutational scanning experiments.
• multimil — Multimodal weakly supervised learning to identify disease-specific changes in single-cell atlases
• MultiTrain — MultiTrain allows you to train multiple machine learning algorithms on a dataset all at once to determine the best for that particular use case
• multivelo — Multi-omic extension of single-cell RNA velocity
• mumot — Multiscale Modelling Tool
• musify — A Swiss Army knife for programmatic music library management
• myke — The dynamic Python CLI task runner.
• MyST-NB — A Jupyter Notebook Sphinx reader built on top of the MyST markdown parser.
• mySUNI — mySUNI CDS
• myylearn — An General Automated Machine Learning Framework
• namematch — Tool for probabilistically linking the records of individual entities (e.g. people) within and across datasets
• nannos — Fourier Modal Method for multilayer metamaterials
• nanomesh — Creates 3d meshes from microscopy experimental data
• naowidgets — A small library with useful widgets for NAO in Jupyter.
• nata — Post-processing and visualization for PIC codes
• nbanim — A utility for displaying image sequences as animations in Jupyter Notebooks.
• nbappinator — Jupyter Notebook Application Builder
• nbautoeval — A mini framework to implement auto-evaluated exercises in Jupyter notebooks
• nbclient — A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor.
• nbconvert — Converting Jupyter Notebooks (.ipynb files) to other formats. Output formats include asciidoc, html, latex, markdown, pdf, py, rst, script. nbconvert can be used both as a Python library (`import nbconvert`) or as a command line tool (invoked as `jupyter nbconvert ...`).
• nbconvert-a11y — nbconvert templates using modern standards
• nbcx — A framework for customizing NBConvert templates and building reports
• nbdev — Create delightful software with Jupyter Notebooks
• nbdev-simonkeys — Create delightful software with Jupyter Notebooks
• nbic — jupyter notebook toolkit