Reverse Dependencies of traitlets

The following projects have a declared dependency on traitlets:

• jupyterlite-xeus — JupyterLite loader for Xeus kernels
• jupyterlite-xeus-nelson — A Nelson kernel for JupyterLite, powered by Xeus
• jwst-novt — JWST NIRSpec Observation Visualization Tool
• kailin — KAILINss - TOGGLE(KAILIN): Single Cell Fate Tracing tools
• kapral — toolbox for various tasks in the area of corpus linguistic
• kelvin-sdk — Kelvin SDK
• keywind-pfpc — Installing this package will allow you to limit your input controls.
• keywords-en — keywords extract
• kise-gateway-provisioners — Gateway Provisioners - a package containing kernel provisioners supporting the deployment of remote and resource-managed kernels.
• klowd — KLOWD platform library
• knotr — Reproducible report generation tool.
• knowledge-repo — A workflow for contributing company knowledge, in the form of RMarkdowns, iPythons, and Markdowns, rendered and organized to magnify research impact across teams and time
• Kqlmagic — Kqlmagic: Microsoft Azure Monitor magic extension to Jupyter notebook
• KqlmagicCustom — Kqlmagic: Microsoft Azure Monitor magic extension to Jupyter notebook (Custom Dependencies)
• kslhub — klshub - a datahub based on jupyterhub
• kubric — A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation, depth maps, and optical flow.
• kubric-nightly — A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation, depth maps, and optical flow.
• kymata — Core Kymata codebase, including statistical analysis and plotting tools
• kytos — Kytos, an open source SDN Platform
• labflow — Fearless interactivity for Jupyter notebooks.
• LabPaper — LabPaper - A Jupyter notebook extension for exporting notebooks to academic papers.
• lakehouse-engine — A configuration-driven Spark framework serving as the engine for several lakehouse algorithms and data flows.
• lambda-notebook — Tools for linguistic semantics (lambda calculus, logic, etc), aimed at Jupyter
• latentscope — Quickly embed, project, cluster and explore a dataset.
• ldap-hooks — A set of Jupyter Spawner pre_spawn_hooks for creating/retrieving LDAP DIT entries during spawn
• LDTk — Toolkit to calculate stellar limb darkening profiles for arbitrary filters.
• Lektor — A static content management system.
• LensMotionMania — Dip package for images and videos
• libmv — a library to create music videos
• libvisualwebarena — This is an unofficial, use-at-your-own risks port of the visualwebarena benchmark, for use as a standalone library package.
• lightning-app — Use Lightning Apps to build everything from production-ready, multi-cloud ML systems to simple research demos.
• lightparam — A light, qt-compatible python parametrization package.
• lintML — A security-first linter for machine learning training code.
• literary — Literate package development with Jupyter
• literary-build-hatch — Hatchling build plugin for Literary
• LittleSnowFox — KAILINss - TOGGLE(KAILIN): Single Cell Fate Tracing tools
• llm-docstring-generator — Code to generate docstrings for Python code using GPT-4 etc.
• lohrasb — This versatile tool streamlines hyperparameter optimization in machine learning workflows.It supports a wide range of search methods, from GridSearchCV and RandomizedSearchCVto advanced techniques like OptunaSearchCV, Ray Tune, and Scikit-Learn Tune.Designed to enhance model performance and efficiency, it's suitable for tasks of any scale.
• lonboard — Fast, interactive geospatial data visualization in Jupyter.
• LongTermBiosignals — Python library for easy managing and processing of large Long-Term Biosignals.
• LorenzCycleToolkit — no summary
• lp-Aicloud — this a aicloud
• lpw — Using Local Packet Whisperer (LPW, Chat with PCAP/PCAPNG files locally, privately!
• luis1996 — my description
• luisito1996 — my description
• luisito19963 — my description
• m4-utils — Biblioteca com funções de uso comum em projetos de aprendizado de máquina e ciencia de dados.
• majora — Majora is a python library that automates common tasks in your exploratory data analysis.
• mango-explorer-v4 — no summary
• mapistar — Api pour ma gestion d'un dossier médical sous Apistar
• mapyllary — Unofficial Mapillary API
• market-analy — Analysis of exchange-listed financial instruments
• Marketingtool — A tool module to help you do marketing
• matplotlib-inline — Inline Matplotlib backend for Jupyter
• max-nhl-scraper — A package for scraping NHL data
• maxframe — MaxFrame operator-based data analyze framework
• mbtask — Mindbox test task
• mdml — Application of Deep learning on molecular dymanamics trajectories
• mdparse — Parsing markdown files for deep learning.
• MedShapeNet — Python API to connect and work with the MedShapeNet Medical Shapes Database (https://medshapenet.ikim.nrw/)
• meggie-sourceanalysis — no summary
• MetPy — Collection of tools for reading, visualizing and performing calculations with weather data.
• metro-sp-mdp — no summary
• mi-property-analyser — First package evs
• microbiome-toolbox — Microbiome Toolbox
• mindflow — AI-powered search engine for your code!
• mito-ai — AI chat for JupyterLab
• mkdocs-execute-plugin — A MkDocs plugin to execute notebooks and embed the results in the documentation.
• ML-Navigator — ML-Navigator is a tutorial-based Machine Learning framework. The main component of ML-Navigator is the flow. A flow is a collection of compact methods/functions that can be stuck together with guidance texts.
• mlu-tools — Contains useful functions and classes
• mne-gui-addons — MNE-Python GUI addons.
• model2graph — A package to convert deep learning models into graph structures
• modelscope — ModelScope: bring the notion of Model-as-a-Service to life.
• modulename — this is a description
• molang-chain — an LLM Orchestration Framework
• morrisseau-cleaner — A Python library to clean data for Morrisseau Project
• mosaicml — Composer is a PyTorch library that enables you to train neural networks faster, at lower cost, and to higher accuracy.
• mowidget — A comprehensive library of custom anywidget implementations for Marimo notebooks
• mozi-ai — 墨子AI:军事人工智能领航者, developed by HSFW
• multiplespawner — no summary
• mysqlsmom — sync data from mysql to elasticsearch
• myylearn — An General Automated Machine Learning Framework
• myz-tools — Python helper tools
• mzrewards — Mzaalo Rewards Utility functionalities
• naucse-render — Converts course material to naucse.python.cz API
• nb2hugo — A Jupyter notebook to Hugo markdown converter
• nba-analytics — A package for collecting and analyzing NBA player data.
• nbautoexport — Automatically export Jupyter notebooks to various file formats (.py, .html, and more) on save.
• nbclassic — Jupyter Notebook as a Jupyter Server extension.
• 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 ...`).
• nbformat — The Jupyter Notebook format
• nbhugoexporter — Export Jupyter notebooks to a Hugo compatible format
• nbinteract — Export interactive HTML pages from Jupyter Notebooks
• nbnext — Fearless interactivity for Jupyter notebooks.
• nbplot — Command-line utility to quickly plot files in a Jupyter notebook
• nbplus — Fearless interactivity for Jupyter notebooks.
• nbplusplus — Fearless interactivity for Jupyter notebooks.
• nbpp — Fearless interactivity for Jupyter notebooks.
• nbsafety — Fearless interactivity for Jupyter notebooks.