Reverse Dependencies of jupytext

The following projects have a declared dependency on jupytext:

• flytezen — Library for benchmarking the impact of transcript count type stratification on trajectory inference.
• foursquare.map-sdk — Jupyter Widget for Foursquare Studio Maps
• from-jupyter — Blogging from Jupyter notebooks
• fvgp — Python package for highly flexible function-valued Gaussian processes (fvGP)
• gadopt — A computational platform for inverse geodynamics
• gala — Galactic dynamics in Python
• gcoreutils — A versatile python utility library.
• gdsfactory — python library to generate GDS layouts
• generalized-additive-models — Generalized additive models in Python.
• gf180 — GlobalFoundries 180nm MCU
• gotranx — A declarative language describing ordinary differential equations
• gpfy — Gaussian process with spherical harmonic features in JAX
• gplugins — gdsfactory plugins
• gusty — Making DAG construction easier
• gvtt — gdsfactory VTT PDK
• haipera — Hassle-free configs, logging, and cluster management for research projects.
• hapsira — Utilities and Python wrappers for Orbital Mechanics.
• hgdl — HGDL Optimization
• HofstadterTools — A Python package for analyzing the Hofstadter model.
• honegumi — Honegumi (骨組み) is an interactive "skeleton code" generator for API tutorials focusing on optimization packages.
• hydrostab — Evaluation of hydrograph stability, detecting oscillations in data from hydrodynamic models.
• i3-workspace-groups — no summary
• icecube-tools — Python tools
• imodels — Implementations of various interpretable models
• inf581 — Tool functions for INF581.
• input4mips-validation — Validation of input4MIPs data (checking file formats, metadata etc.).
• iop4 — A rewrite of IOP3, a pipeline to work with photometry and polarimetry of optical data from CAHA and OSN.
• ipyautoui — wrapper that sits on top of ipywidgets and other ipy widget libraries to template / automate the creation of widget forms. Uses pydantic to create defined data-container and serialisation to JSON. Includes example patterns for adding new custom widgets.
• ipypublish — A workflow for creating and editing publication ready scientific reports, from one or more Jupyter Notebooks
• itables — Pandas and Polar DataFrames as interactive DataTables
• iterative-ensemble-smoother — A library for the iterative ensemble smoother algorithm.
• jaxbind — Bind any function written in another language to JAX with support for JVP/VJP/batching/jit compilation
• jaxley — Differentiable neuron simulations.
• jupyblog — no summary
• jupyformat — Custom functions for transforming files for jupyter book
• jupyter-ascending — no summary
• jupyter-ascending-patched — no summary
• jupyter_book — Build a book with Jupyter Notebooks and Sphinx.
• jupyter-bundle — Jupyter Lab support for Daipe
• jupyter-cache — A defined interface for working with a cache of jupyter notebooks.
• jupyterlab-git — A JupyterLab extension for version control using git
• jupyterlite-sphinx — Sphinx extension for deploying JupyterLite
• jure — An utility that extends Jupytext. Allows to auto-refresh browser when source file is changed.
• juv — A toolkit for reproducible Jupyter notebooks, powered by uv.
• kfn — Kubeflow notebook component builder
• kgeneric — KLayout generic PDK
• kiara — Data-centric workflow orchestration.
• kiara-plugin.jupyter — Jupyter integration for kiara
• konfuzio-sdk — Konfuzio Software Development Kit
• kplugins — KFactory extras such as PCells and plugins
• labbench — The `labbench` module provides API tools to support python scripting for laboratory automation.The goal is to simplify the process of developing an experimental procedure into clear, concise, explainable, and reusable code.
• labfunctions — Schedule parameterized notebooks programmatically using cli or a REST API
• lamindb — A data framework for biology.
• ldrb — Laplace-Dirichlet Rule-based algorithm for assigning myocardial fiber orientations.
• lightly — A deep learning package for self-supervised learning
• lightning-uq-box — Lightning-UQ-Box: A toolbox for uncertainty quantification in deep learning
• lips-benchmark — LIPS : Learning Industrial Physical Simulation benchmark suite
• lucit-backtesting — Backtest trading strategies in Python
• magpylib — Free Python3 package to compute magnetic fields.
• maite — Library of common types, protocols (a.k.a. structural subtypes), and utilities to support AI test and evaluation
• maser-data — Maser4py submodule to handle radio data
• maser4py — maser4py offers tools to handle low frequency radioastronomy data
• matscipy — Generic Python Materials Science tools
• meshwell — GMSH wrapper, with integrated photonics focus
• mf6rtm — Reactive transport model through MODFLOW 6 and PHREEQCRM
• midi-etl — Midi ETL pipelines implemented with dagster + dbt
• mitiq — Mitiq is an open source toolkit for implementing error mitigation techniques on most current intermediate-scale quantum computers.
• mkdocs-execute-plugin — A MkDocs plugin to execute notebooks and embed the results in the documentation.
• mkdocs-jupyter — Use Jupyter in mkdocs websites
• mmfutils — Small set of utilities: containers and interfaces.
• modelgraph — Tool for extracting dependency graphs from gotran ODE models
• molflux — A foundational package for molecular predictive modelling
• Monochrome — Viewer for monochromatic video data
• MPoL — Regularized Maximum Likelihood Imaging for Radio Astronomy
• MRpro — MR image reconstruction and processing package specifically developed for PyTorch.
• multibacktesting — Backtest trading strategies in Python
• multibacktesting2 — Backtest trading strategies in Python
• multicons — MultiCons (Multiple Consensuses) algorithm
• multipie — A python library for crystallographic symmetry operations and Symmetry-Adapted Multipole Basis (SAMB).
• multiple-backtesting — Backtest trading strategies in Python
• MyST-NB — A Jupyter Notebook Sphinx reader built on top of the MyST markdown parser.
• nanomesh — Creates 3d meshes from microscopy experimental data
• napari-assistant — A pocket calculator like interface to image processing in napari
• napari-assistant-plugin-generator — Auto-generate python code from within napari to make napari-assistant compatible plugins
• napari-omaas — napari-OMAAS stands for Optical Mapping Acquisition and Analysis Software
• napari-pyclesperanto-assistant — GPU-accelerated image processing in napari using OpenCL
• napari-workshop-browser — A plugin to browse and follow napari workshops
• nb-quality-profile — Tools for profiling Jupyter notebook quality and visualing notebook structure.
• nb-workflows — Schedule parameterized notebooks programmatically using cli or a REST API
• nbhosting — An infrastructure for hosting notebooks behind an open-edX MOOC platform, or for registered students like in a classroom
• nbnorm — convenience tool to do mass notebook normalization
• nbprune — With this tool, one can define pieces of a notebook that belong to teachers and should not be exposed to students.
• nbqa — Run any standard Python code quality tool on a Jupyter Notebook
• nbsearch — datasette powered notebook search
• nbwc — Notebook wordcount
• nibetaseries — BetaSeries Correlations implemented in Nipype
• nifty8 — Probabilistic programming framework for signal inference algorithms that operate regardless of the underlying grids and their resolutions
• njx — NJX is a library for morphologically and bio-physically detailed neuron simulations in JAX.
• noteout — Notebook parsing filters for Pandoc
• nrsur-catalog — GW event posteriors obtained using numerical relativity surrogate models.