Reverse Dependencies of jupyter

The following projects have a declared dependency on jupyter:

• aaps — Paquete con todas las herramientas para la aplicacion AAPS-LAB.
• abc-network — This package provides code linked to the paper "Multimorbidity analysis with low condition counts: a robust Bayesian approach for small but important subgroups" <https://authors.elsevier.com/sd/article/S2352396424001166>.
• abracadabra — Making hypothesis and AB testing magically simple!
• access-spotify — A package to get all album and track info for an artist by querying the Spotify API
• aces-apps — A collection of utilities developed out of the ACES working group to support the processing of ASKAP data.
• ACOio — IO tools for the Aloha Cabled Observaroty
• acqpack — Library for instrument control and automated data acquisition
• actinet — Activity detection algorithm compatible with the UK Biobank Accelerometer Dataset
• actuariat_python — Helpers for teaching purposes (includes sqllite helpers)
• adsg-core — Architecture Design Space Graph Core
• adtk — A package for unsupervised time series anomaly detection
• adversarial-lib — Adversarial attack library
• agent-cloud — no summary
• agent-cloud-os — no summary
• agent-context — no summary
• agent-management-system — no summary
• agent.ngo — no summary
• agent-system — no summary
• agentbox — no summary
• agentDB — no summary
• agentvm — no summary
• ai-economist — Foundation: An Economics Simulation Framework
• aicsfeature — Scripts for image features calculation.
• aicssegmentation — Part 1 of Allen Cell and Structure Segmenter
• aif360 — IBM AI Fairness 360
• aif360-fork2 — IBM AI Fairness 360
• aiida-core — AiiDA is a workflow manager for computational science with a strong focus on provenance, performance and extensibility.
• aij — AI Journalist
• aima — Artificial Intelligence a Modern Approach 4th Ed by Peter Norvig and Stuart Russel
• aima3 — Artificial Intelligence: A Modern Approach, in Python3
• aismt — A command-line interface for AI Smart Task.
• aixd — AI-eXtended Design (AIXD)
• aizynthfinder — Retrosynthetic route finding using neural network guided Monte-Carlo tree search
• Algebra-with-SymPy — Equations that can be algebraicly manipulated.
• Alpha-Mind — no summary
• alphabase — An infrastructure Python package of the AlphaX ecosystem
• alphai — no summary
• alpharaw — An open-source Python package to unify raw MS data access and storage.
• alphaviz — A interactive Dashboard to explore mass spectrometry data.
• amcess2024 — Atomic and Molecular Cluster Energy Surface Sampler
• ampel-hu-astro — Astronomy units for the Ampel system from HU-Berlin
• ams-core — no summary
• ams-python — no summary
• animal-classification — classification of animals using machine learning models
• animate-arrays — Module with functions to animate data stored in 2D+3D arrays
• anl — ANAC Automated Negotiations League Platform
• anonlink-client — Client side tool for clkhash and blocklib
• ansible-kernel — An Ansible kernel for Jupyter
• AnyPyTools — Python tools and utilities for working with the AnyBody Modeling System
• API7 — Python SDK for interacting with API7 Facial Recognition Server
• aplusml — Conduct usefulness simulations of ML models embedded in workflows
• apogee — Apogee
• appfl — An open-source package for privacy-preserving federated learning
• appnext — no summary
• approve — A PyTorch Geometric implementation of APPrOVE: Approximate Personalized Propagation Over Varied Edges. APPrOVE extends the well-known personalized PageRank algorithm to heterogeneous graphs (graphs with varied edges).
• aqeea — Access to air quality data from the European Environment Agency.
• aquitania — Algorithmic Trading with Artificial Intelligence
• archai — Platform for Neural Architecture Search
• archive-query-log — Mining Millions of Search Result Pages of Hundreds of Search Engines from 25 Years of Web Archives.
• arger — Create argparser automatically from functions
• argiope — A framework for simpler finite element processing
• arize-phoenix — AI Observability and Evaluation
• arr — Astronomic Reference Resolver
• arraylib-solve — Tool to computationally deconvolve combinatorially pooled arrayed random mutagenesis libraries
• asent — A python package for flexible and transparent sentiment analysis.
• asgardpy — Gammapy-based pipeline for easy joint analysis of different gamma-ray datasets
• ask-api — no summary
• asmc-asmc — ASMC is a method to efficiently estimate pairwise coalescence time along the genome
• asmc-data-module — Something
• aspire — Algorithms for Single Particle Reconstruction
• assistant-dialog-skill-analysis — Dialog Skill Analysis Tool for Watson Assistant
• assistant-skill-analysis — Dialog/Action Skill Analysis Tool for Watson Assistant
• Aston — Mass/UV Spectral Analysis Program
• astro-elk — This python package computes, and corrects ensemble light curves for TESS pixels within a specified aperature, from TESS FFI data.
• astro-gala — Galactic dynamics in Python
• astrosurveyutils — Astronomical survey utilities
• atek — no summary
• atlas-rbm — Atlas: Reconstruction of Rule-Based Models from biological networks
• atlassianhw — Atlassian application homework
• atpbar — Progress bars for threading and multiprocessing tasks
• attribench — A benchmark for feature attribution techniques
• augmenty — An augmentation library based on SpaCy for joint augmentation of text and labels.
• auralflow — A lightweight music source separation toolkit.
• auto-ams — no summary
• auto-graph-of-thoughts — Automated Graph of Thoughts
• auto-notion-py — Notion automation package
• auto-ts — Automatically Build Multiple Time Series models fast - now with Facebook Prophet!
• autodl-gpu — Automatic Deep Learning, towards fully automated multi-label classification for image, video, text, speech, tabular data.
• automatise — Automatise: A Multiple Aspect Trajectory Data Mining Tool Library
• automatize — Automatize: A Multiple Aspect Trajectory Data Mining Tool Library
• autoPyTorch — Auto-PyTorch searches neural architectures using smac
• autora-core — Autonomous Research Assistant (AutoRA) is a framework for automating steps of the empirical research process.
• autoviml — Automatically Build Variant Interpretable ML models fast - now with CatBoost!
• avatarpy — avatar analysis module
• avici — Amortized Inference for Causal Structure Learning
• awkupy — A simple Python interface and IPython/Jupyter magic for AWK
• aws-fortuna — A Library for Uncertainty Quantification.
• ax-platform — Adaptive Experimentation
• axel-lab-to-nwb — NWB conversion scripts and tutorials.
• babbab — BAyesian Beta-Binomial AB testing (BABBAB), is an implementation