Reverse Dependencies of jupyter

The following projects have a declared dependency on jupyter:

• datagif — Make animated gifs out of multiple data plots.
• datagnosis — A Data-Centric AI library for measuring hardness categorization.
• datamate — A data organization and compilation system.
• datamode — A tool to quickly build data science pipelines
• datapipeliner — dvc-ready data pipelines.
• datarobot — This client library is designed to support the DataRobot API.
• datarobot-early-access — This client library is designed to support the DataRobot API.
• datascientists — Quick Data Science tools.
• datascienv — Data Science package for setup data science environment in single line
• datasist — A Python library for easy data analysis, visualization, exploration and modeling
• datatracer — Data Lineage Tracing Library
• datawidgets — Widgets to explore data
• dbflows — Database incremental exports, transfers, imports, ETL, creation / management
• dbnd — Machine Learning Orchestration
• ddmtools — A Python library for doing differential dynamic microscopy on polydisperse samples
• ddn3 — Dependency network analysis under two conditions
• debugging-benchmark — no summary
• decisiveml — no summary
• deep-autoviml — Automatically Build Deep Learning Models and Pipelines fast!
• deep-data-profiler — The Deep Data Profilerlibrary provides tools for analyzing the internal decision structure of a trained deep neural network.
• deep-xf — DEEPXF - An open-source, low-code explainable forecasting and nowcasting library with state-of-the-art deep neural networks and Dynamic Factor Model. Now available with additional addons like Denoising TS signals with ensembling of filters, TS signal similarity test with Siamese Neural Networks
• DeepCellTL — Deep learning for single cell image segmentation
• deepcomp — DeepCoMP: Self-Learning Dynamic Multi-Cell Selection for Coordinated Multipoint (CoMP)
• deepecho — Create sequential synthetic data of mixed types using a GAN.
• deephub — no summary
• deepmolecules — Prediction of enzyme kinetic parameters using deep learning models
• deepmreye — MR-based eye tracker without eye tracking
• deeptime — Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation.
• deeptlf — Deep Tabular Learning Framework
• deepuq — a package for investigating and comparing the predictive uncertainties from deep learning models
• Delft-FIAT — Delft Fast Impact Assessment Tool
• delira — no summary
• delpywidget — Blockly w/ Python on Jupyter Notebook
• deltalanguage — Hosted programming language for Deltaflow
• deluca — no summary
• demos — Wrangling election data
• den — Den is a home for your home's data.
• desdeov2 — Rewrite of the original DESDEO framework. Contains traditional MCDM algorithms and scalarization utilities. To be split into multiple modules.
• detection-models — Data structures for running TensorFlow Object Detection API models
• dev-hi-chem — dev-hi-chem - A template Python package for Harms Informatics
• devpk — Development package set.
• devstats — Developer tool for scientific Python libraries
• dexterity — Software and tasks for dexterous multi-fingered hand manipulation, powered by MuJoCo
• dexteritysdk — Client for Dexterity - a modular derivatives decentralized exchange reference implementation
• dfcleanser — A Jupyter notebook extension for dataframe cleansing
• dfm-tools — dfm_tools are pre- and post-processing tools for Delft3D FM
• dgmrf — Deep Gaussian Markov Random Fields and their extensions
• dgpsi — Deep and Linked Gaussian Process Emulations using Stochastic Imputation
• dgsolvdb — Free energy of solvation database wrapper - no dependencies.
• diamondback — Diamondback DSP
• dibs-lib — DiBS: Differentiable Bayesian Structure Learning
• dictum-core — Core library for Dictum
• dictys — Context specific and dynamic gene regulatory network reconstruction and analysis
• diff-predictor — diff_predictor: a prediciton package for multiple particle tracking data
• diffeqtorch — DifferentialEquations.jl with PyTorch.
• diffeqzoo — Ordinary differential equation zoo
• diffpass — Differentiable Pairing using Soft Scores
• dimwit — A package containing various functions and classes for fetching, transforming, and visualising data for personal metrics.
• directlfq — An open-source Python package of the AlphaPept ecosystem
• directory-structure-py — Python function collecting the metadata of a directory and its contents
• discogspy — A set of wrapper and tools to make use of the discogs api
• discretize — Discretization tools for finite volume and inverse problems
• disdrodb — This package provides tools to homogenize, process, and analyze global disdrometer data.
• dispatches — GMLC DISPATCHES software tools
• Displacement-strain-planet — Planetary crustal thickness, displacement, stress and strain calculations in spherical harmonics.
• distoptica — Python library for modelling optical distortions.
• distyll-info — Information parsing assistant
• diveai — no summary
• dj-notebook — Django + shell_plus + Jupyter notebooks made easy
• Djaizz — Artificial Intelligence (AI) in Django Applications
• djalgo — A music composition toolkit
• django-bridger — The bridge between a Django Backend and a Javascript based Frontend
• django-cast — no summary
• djangophysics — Django APIs for physics conversion and calculations
• dkdc — dkdc
• dkdc-calendar — calendar
• dkdc-chat — chat
• dkdc-crypto — web9 tech for the masses
• dkdc-email — email utilities
• dkdc-env — environment variables
• dkdc-lake — data lake
• dkdc-log — logging
• dkdc-state — manage state
• dkdc-todo — todo
• dkdc-user — users
• dkdc-util — utility functions
• dkdc-vault — secrets and such
• dl1-data-handler-light — light version of the dl1 HDF5 data writer + reader + processor
• dl1dh-test — dl1 HDF5 data writer + reader + processor
• dlc2action — tba
• dldna — Deep Learning DNA: Surviving Architectures and Profound Principles
• dlpml — Minimalist Machine Learning library
• dLux — Differentiable Optical Models as Parameterised Neural Networks in Jax using Zodiax.
• dnallm — A toolkit for fine-tuning and inference with DNA Language Models
• dnr-api — no summary
• docchat — no summary
• domias — DOMIAS, a density-based MIA model that aims to infer membership by targeting local overfitting of the generative model.
• dorchester — A toolkit for making dot-density maps in Python
• dotagent — no summary
• dotagent-dev — no summary