Reverse Dependencies of jupyter-client

The following projects have a declared dependency on jupyter-client:

• a2km — Assistent to the (Jupyter) Kernel Manager
• abracadabra — Making hypothesis and AB testing magically simple!
• abTEM — no summary
• ac_solver — no summary
• acl2-kernel — Jupyter Kernel for ACL2
• adaptive — Parallel active learning of mathematical functions
• ai-economist — Foundation: An Economics Simulation Framework
• ai-python — Microsoft AI Python Package
• aiida-core — AiiDA is a workflow manager for computational science with a strong focus on provenance, performance and extensibility.
• airosentris — A sentiment analysis platform with AI runner and trainer components
• akimous — An intelligent Python IDE
• algorin-cli — Acceso a GPT-3 y procesamiento de documentos desde la línea de comandos.
• allthekernels — Multiplexing kernel for Jupyter
• angr-management — The official GUI for angr
• animal-classification — classification of animals using machine learning models
• apache-beam — Apache Beam SDK for Python
• apache-beam-ai2 — A FORK! for testing with different dill version
• appears-api-client — Python client for interacting with NASA Earthdata's AppEEARS API
• appeears-api-client — Python client for interacting with NASA Earthdata's AppEEARS API
• appyter — no summary
• arm-jupyter-kernel — Jupyter kernel for ARM Assemble language.
• arm-kernel — Jupyter kernel for ARM Assemble language.
• arrakis-nd — Arrakis module for near detector data.
• asn-nmap — Get status service from a ASN.
• astir — no summary
• astrohack — Holography Antenna Commissioning Kit
• astrool — Python package for Astronomers in a Hurry
• astroviper — Astro Visibility and Image Parallel Execution Reduction
• auror — Parameter Checking
• auto-coder — AutoCoder: AutoCoder
• autogen-agentchat-um — Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework
• autopc — An image recognition framework running on a computer
• autopilotml — A package for automating machine learning tasks
• ax-env — dependency manager for XENONnT package
• ax-platform — Adaptive Experimentation
• azpype — A native Python interface wrapping AzCopy for bulk data transfer to and from Azure Blob Storage.
• azure-arm-nb-extensions — Jupyter notebook extensions for azure arm.
• azure-ml-component — Azure Machine Learning Component SDK
• azureml-contrib-notebook — no summary
• backend.ai-kernel — Backend.AI Kernel Runner
• backtest-reg — no summary
• backtesting — Backtest trading strategies in Python
• bahy-bot-maker — A package for creating bots on bluesky
• basilisp-kernel — Basilisp kernel for Jupyter
• batchflow — ML pipelines, model configuration and batch management
• bdft-analysis — no summary
• bermuda-ledger — A module for manipulating insurance loss triangles
• bia-bob — A Jupyter-based assistant for image data analysis tasks
• big-graph-dataset — A collection of graph datasets in torch_geometric format.
• birdhouse-finch — A Web Processing Service for Climate Indicators.
• bitfount — Machine Learning and Federated Learning Library.
• blackhc.project — Notebook setup code
• bluesky-queueserver — Server for queueing plans
• BNumMet — Basic Numerical Methods for Python 3
• bodo-platform-dummy-kernel — A simple wrapper around IPython Kernel for the Bodo Platform Notebook
• bodo-platform-ipyparallel-kernel — A simple IPyParallel based wrapper around IPython Kernel for the Bodo Platform
• boinor — Utilities and Python wrappers for Orbital Mechanics.
• box-oauth — Box headless OAuth2 client
• bpnet — BPNet: toolkit to learn motif synthax from high-resolution functional genomics data using convolutional neural networks
• byc-pyflow — An open-source tool for modular visual programing in python
• byzerllm — ByzerLLM: Byzer LLM
• CADPR — Standardize and Automate processes utilized by the DAMs at Nike in CA
• callisto-jupyter-d1 — Jupyter D1 Server for Callisto
• calysto_bash — A Jupyter kernel for Bash.
• camel-ai — Communicative Agents for AI Society Study
• causallift — CausalLift: Python package for Uplift Modeling for A/B testing and observational data.
• CELLULAR-CL — A package for generating an embedding space from scRNA-Seq. This space can be used for cell type annotation, novel cell type detection, cell type representations, and visualization.
• chatbot-kernel — A Jupyter kernel using LLM models from Huggingface
• chconsole — Jupyter/Qt-based Chat Console
• checkifc — A package to work with IFC meshes
• ChemScraper — Scraping chemical vendors for pricing/availability info.
• chicken-coop — An environment for reproducing dominance hierarchies in RL agents
• chisel-nbdev — Port of nbdev to write SCALA / chisel library entirely in notebooks
• chromas — A tool for the computational analysis of chromatophore activity.
• Chronix2Grid — A python package to generate "en-masse" chronics for loads and productions (thermal, renewable)
• CIxTools — Cheminformatics Tools
• ckernel — Provides a Jupyter kernel which allows automatic compilation and execution of C/C++ code from a notebook environment.
• clang-repl-kernel — Clang-REPL kernel for Jupyter
• clisops — CLISOPS - Climate simulation operations.
• clonenotebooks — NBViewer extension and Jupyter notebook extension for cloning notebooks viewed in NBViewer to user's home directory.
• cloud-io — Handle I/O from cloud buckets
• clusterking — Cluster sets of histograms/curves, in particular kinematic distributions in high energy physics.
• cmbagent-autogen — A programming framework for agentic AI
• cnext — The data-centric workspace for AI & DS
• cnext-test — The data-centric workspace for AI & DS
• coconut — Simple, elegant, Pythonic functional programming.
• coconut-develop — Simple, elegant, Pythonic functional programming.
• codeboxapi — CodeBox gives you an easy scalable and isolated python interpreter for your LLM Agents.
• cogent3 — COmparative GENomics Toolkit 3: genomic sequence analysis within notebooks or on compute systems with 1000s of CPUs.
• colorizexl — Colorize and recolorize large images
• compay-syntax — Syntax - the arrangement of whole-slide-images and their image tiles to create well-formed computational pathology pipelines.
• competitionassay — Software for the analysis of competition assay data.
• composable-logs — no summary
• composable-logs-snapshot — no summary
• composer-notebook — interactive demo for composer application on Jupyter notebook
• connar-package — no summary
• coq-jupyter — Coq kernel for Jupyter
• corradin-opioid-project — no summary
• cosapp — CoSApp, the Collaborative System Approach.
• cqljupyter — CQL kernel for Jupyter based on Cassandra CQLSH