Reverse Dependencies of nbclient

The following projects have a declared dependency on nbclient:

• abracadabra — Making hypothesis and AB testing magically simple!
• agentscope — AgentScope: A Flexible yet Robust Multi-Agent Platform.
• ai-economist — Foundation: An Economics Simulation Framework
• ai-python — Microsoft AI Python Package
• appyter — no summary
• ascend — no summary
• autogen-ext — AutoGen extensions library
• autopc — An image recognition framework running on a computer
• autopilotml — A package for automating machine learning tasks
• azure-arm-nb-extensions — Jupyter notebook extensions for azure arm.
• big-graph-dataset — A collection of graph datasets in torch_geometric format.
• bitfount — Machine Learning and Federated Learning Library.
• bitorch — A package for building and training quantized and binary neural networks with Pytorch
• botchain — chain bots via strings
• brand_yml — Read brand yaml files, a unified way to store brand information.
• chatlas — A simple and consistent interface for chatting with LLMs
• ChemScraper — Scraping chemical vendors for pricing/availability info.
• chicken-coop — An environment for reproducing dominance hierarchies in RL agents
• CIxTools — Cheminformatics Tools
• cloud-io — Handle I/O from cloud buckets
• corradin-opioid-project — no summary
• culting — Culting package manager.
• databricks-runtime-python-env — Python dependencies installed on Databricks Runtimes
• dexteritysdk — Client for Dexterity - a modular derivatives decentralized exchange reference implementation
• dfmdash — Repository for Covid-19 Dynamic Factor Model
• 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
• dls-bxflow — Distributed beamline automated data processing workflow engine and gui platform core.
• edubotics-core — Core modules for edubotics-based LLM AI chatbots
• elixir-nbc — Converting Elixir Notebooks
• elyra — Elyra provides AI Centric extensions to JupyterLab
• elyra-server — The elyra-server package provides common core libraries and functions that are required by Elyra's individual extensions. Note: Installing this package alone will not enable the use of Elyra. Please install the 'elyra' package instead. e.g. pip install elyra[all]
• emzed-spyder — emzed IDE, see also https://emzed.ethz.ch
• ENGR131-2024 — ENGR131_2024 package
• epiworldpy — Python bindings for epiworld
• face-recognition-and-drowsiness-detection — Python Boilerplate contains all the boilerplate you need to create a Python package.
• FashionTrendForecasting — A package for predicting fashion trends
• firenze — A lean executor for jupyter notebooks.
• flimsay — A super simple fast IMS predictor
• fudstop2 — A market data API aggregator for analysis and real-time feeds.
• galaxysled — A code to reproduce and fit a galaxy CO SLED
• Gao-Anime — AI Head
• gdp-time-series — no summary
• genno — Efficient, transparent calculation on N-D data
• gingado — A machine learning library for economics and finance
• gordo — Train and build models for Argo / Kubernetes
• GPErks — A Python library to (bene)fit Gaussian Process Emulators.
• gpytorch — An implementation of Gaussian Processes in Pytorch
• grater-expectations — A grated application of Great Expectations to create greater Expectations
• hammadml-gpu — Hammad Python ~ Machine Learning
• hbac-bias-detection — no summary
• hcipy — A framework for performing optical propagation simulations, meant for high contrast imaging, in Python.
• image-crawl — Crawl and transform images
• image-processing-package-gleyson-atanazio — Módulo para processamento e comparação de imagens.
• impresso-commons — Python module highly reusable within impresso.
• input4mips-validation — Validation of input4MIPs data (checking file formats, metadata etc.).
• ipython_blocking — Context manager for blocking cell execution within a Jupyter notebook
• iqm-pulla — Client library for pulse-level access to an IQM quantum computer
• istacky — A lightweight image processing library
• ivystar — python tools package of ivystar
• jTWA — Truncated Wigner on GPUs based on JAX.
• junctionart — Procedural HD Map and Intersection Generator
• jupyrest — A tool to expose Jupyter notebooks as a REST API.
• jupyter_book — Build a book with Jupyter Notebooks and Sphinx.
• jupyter-cache — A defined interface for working with a cache of jupyter notebooks.
• jupyter-cell-extractor — ""
• kailin — KAILINss - TOGGLE(KAILIN): Single Cell Fate Tracing tools
• keywords-en — keywords extract
• lakehouse-engine — A configuration-driven Spark framework serving as the engine for several lakehouse algorithms and data flows.
• latentscope — Quickly embed, project, cluster and explore a dataset.
• libro-ai — libro ai
• libro-flow — libro flow
• libvisualwebarena — This is an unofficial, use-at-your-own risks port of the visualwebarena benchmark, for use as a standalone library package.
• lintML — A security-first linter for machine learning training code.
• literary — Literate package development with Jupyter
• LittleSnowFox — KAILINss - TOGGLE(KAILIN): Single Cell Fate Tracing tools
• LongTermBiosignals — Python library for easy managing and processing of large Long-Term Biosignals.
• lp-Aicloud — this a aicloud
• m4-utils — Biblioteca com funções de uso comum em projetos de aprendizado de máquina e ciencia de dados.
• mdml — Application of Deep learning on molecular dymanamics trajectories
• metagpt — The Multi-Agent Framework
• metagpt-simple — The Multi-Agent Framework
• metro-sp-mdp — no summary
• mitosis — Reproduce Machine Learning experiments easily
• mkdocs-ipymd — no summary
• mplfooty — AFL pitch plotting using matplotlib
• MyST-NB — A Jupyter Notebook Sphinx reader built on top of the MyST markdown parser.
• naas — scheduler system for notebooks
• nba-analytics — A package for collecting and analyzing NBA player data.