Reverse Dependencies of ipykernel
The following projects have a declared dependency on ipykernel:
- meeglet — Morlet Wavelets for M/EEG analysis
- meltPT — Calculate pressures and temperatures of melting for basaltic rocks and fit with melting models.
- memo-ms — Python package to perform MS2 Based Sample Vectorization and visualization
- menelaus — This library implements algorithms for detecting data drift and concept drift for ML and statistics applications.
- menrva — Generalized Dask Client for GraphViper Framework
- mentpy — A Python library for simulating MBQC circuits
- meow-sim — Modeling of Eigenmodes and Overlaps in Waveguide Structures
- mermaid — Image registration toolbox based on pyTorch
- mesmer — mesmer sees through foregrounds
- mesmerize — Calcium imaging analysis platform
- mesonic — Sonification Framework
- metadsl — Library to help create DSLs in Python.
- metaflow-card-notebook — Render Jupyter Notebooks in Metaflow Cards
- metagpt — The Multi-Agent Framework
- metakernel — no summary
- metanno — Jupyter widgets collection to setup a modular annotation environment
- metran — Python package to perform timeseries analysis of multiple hydrological time series using a dynamic factor model.
- metro-sp-mdp — no summary
- MGSurvE — MGSurvE
- mi-property-analyser — First package evs
- microbiome-toolbox — Microbiome Toolbox
- microgen — Microstructure generation and meshing
- minimal-python-project-skeleton — no summary
- minterpy — Python library for multivariate polynomial interpolation.
- miranda — Python utilities for climate data collection, conversion, and management
- mitosis — Reproduce Machine Learning experiments easily
- miupload — Small lighweight library for collecting and distribution of jupyter notebooks during SSS on MSaKGI.
- mixician — An advanced hybrid ranking engine for recommendation systems, designed to automate the optimization of algorithms and parameters tailored to diverse business objectives.
- mkdocs-execute-plugin — A MkDocs plugin to execute notebooks and embed the results in the documentation.
- mkdocs-jupyter — Use Jupyter in mkdocs websites
- 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.
- ml-verbs — Generic interfaces for machine learning
- ml4pd — ML4PD - an open-source libray for building Aspen-like process models via machine learning.
- mlbugdetection — A package for identify Machine Learning bugs
- mlflow-kernel — MLFlow kernel for jupyter
- mllaunchpad — Deploy Machine Learning Solutions with Ease
- mobilkit — A Python Toolkit for Urban Resilience and Disaster Risk Management Analytics using High Frequency Human Mobility Data
- mockish — A thin layer of sugar atop Python's mock.
- module-utilities — Collection of utilities to aid working with python modules.
- modulo-vki — MODULO (MODal mULtiscale pOd) is a software developed at the von Karman Institute to perform Multiscale Modal Analysis of numerical and experimental data.
- mokapot — Fast and flexible semi-supervised learning for peptide detection
- molang-chain — an LLM Orchestration Framework
- molecularprofiles — Meteorological data analysis suite
- monapipe — MONAPipe provides natural-language-processing tools for German, implemented in Python/spaCy.
- monkeybread — Analyze cellular niches in single-cell spatial transcriptomics data
- MonotoneScheme — Python wrapper for C++ codes for the monotone scheme for curvature-driven PDEs
- moogpy — MOOG spectral synthesis code and python wrapper
- mosaicml — Composer is a PyTorch library that enables you to train neural networks faster, at lower cost, and to higher accuracy.
- mosaiks — Use the MOSAIKS algorithm to create features from satellite imagery
- motile — Multi-Object Tracker using Integer Linear Equations
- motrainer — Parallel Training Measurement Operators (MO) for Data Assimilation (DA) Applications
- motulator — Motor Drive Simulator in Python
- mozi-ai — 墨子AI:军事人工智能领航者, developed by HSFW
- mplchart — Classic Stock Charts in Python
- mpnp — Mário Popolin Neto Package.
- mprod-package — Software implementation for tensor-tensor m-product framework
- mqt.bench — MQT Bench - A MQT tool for Benchmarking Quantum Software Tools
- mqt.ddsim — A quantum simulator based on decision diagrams written in C++
- mqt.qcec — A tool for Quantum Circuit Equivalence Checking
- mqt.qecc — QECC - An MQT Tool for Quantum Error Correcting Codes
- mqt.qmap — A tool for Quantum Circuit Mapping
- mqt.qudits — A Framework For Mixed-Dimensional Qudit Quantum Computing
- mqt.syrec — A Tool for HDL-based Synthesis of Reversible Circuits
- mrvi — Multi-resolution Variational Inference
- mrx-link-core — A simple AI/ML modeling tool, Link™ ensures a smoother flow and a better experience throughout the model development cycle.
- msa-toolbox — MSA Toolbox
- msexpert — An open-source Python package of the AlphaPept ecosystem
- msfc-ccd — A Python library for characterizing and using the CCD cameras developed by Marshall Space Flight Center.
- mt2gf — no summary
- mtsa — Multiple Time Series Analysis
- mu-editor — A simple Python editor for beginner programmers.
- mujoco-sysid — MuJoCo System Identification tools
- multicontents — providing contents from multiple sources in jupyter notebook
- multigrate — Multigrate: multimodal data integration for single-cell genomics.
- multirec — no summary
- MultiscaleEMD — Multiscale approximations to the earth mover's distance.
- mumot — Multiscale Modelling Tool
- murfey — Client-Server architecture hauling Cryo-EM data
- MUSE-OS — Energy System Model
- musictool — set of tools to work with scales, modes, modulations, chord progressions, voice leading, rhythm and more
- muygpys — Scalable Approximate Gaussian Process using Local Kriging
- mvtk — Model validation toolkit
- my-data-toolkit — Face the engineering of data preprocessing.
- my-recommending — no summary
- myke — The dynamic Python CLI task runner.
- MyST-NB — A Jupyter Notebook Sphinx reader built on top of the MyST markdown parser.
- mystmd — Command line tools for MyST Markdown
- naas — scheduler system for notebooks
- namas — no summary
- named-arrays — Numpy arrays with labeled axes, similar to xarray but with support for uncertainties
- namematch — Tool for probabilistically linking the records of individual entities (e.g. people) within and across datasets
- napari-console — A plugin that adds a console to napari
- napari-spatialdata — Interactive visualization of spatial omics data with napari
- navigate-micro — Open source, smart, light-sheet microscopy control software.
- nb-workflows — Schedule parameterized notebooks programmatically using cli or a REST API
- nb2workflow — convert notebook to workflow
- nbcheck — Utility to check the validity of jupyter notebook files
- 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 ...`).