Reverse Dependencies of sphinx-gallery

The following projects have a declared dependency on sphinx-gallery:

• generalized-additive-models — Generalized additive models in Python.
• geoana — Analytic expressions for geophysical responses
• geobipy — McMC inversion of airborne electromagnetic data
• geolia — Geometry and mesh tools
• geoplot — High-level geospatial plotting for Python.
• geotrans — Switch between spatial fileformats.
• geoutils — Analysis and handling of georeferenced rasters and vectors
• geovista — Cartographic rendering and mesh analytics powered by PyVista
• gglasso — Algorithms for Single and Multiple Graphical Lasso problems.
• giotto-learn — Toolbox for Machine Learning using Topological Data Analysis.
• giotto-learn-nightly — Toolbox for Machine Learning using Topological Data Analysis.
• glearn — Gaussian Process for Machine Learning
• glest — Estimate the grouping loss of your probabilistic classifiers.
• glmnet-classifier — A binomial classifier based on glmnet
• goes-api — Python API for downloading and searching GOES-16/17 satellite data on local and cloud storage.
• gpm-api — Python Package for the Global Precipitation Measurement (GPM) Mission Data Archive
• gpxplotter — A package for reading gpx files and creating simple plots
• gradec — Meta-analytic gradient decoding
• grag — A simple package for implementing RAG
• graph-sd — ('Mining graphs with Subgroup Discovery',)
• graphcat — Lightweight, flexible toolkit for managing computational graphs.
• greer2018 — Data and formalisms from Greer et al. (2018)
• GREOPy — Solve the general-relativistic Emitter-Observer problem.
• greykite — A python package for flexible forecasting
• gridkit — Powerful abstractions of infinite grids for grid-vector interactions, tesselation, resampling and interactions between related grids.
• GridPolator — Interpolate a grid of spectroscopic models.
• groupyr — groupyr: Sparse Groups Lasso in Python
• GSForge — Feature (gene) selection package for gene expression data.
• gstools — GSTools: A geostatistical toolbox.
• hal-cgp — Cartesian genetic programming (CGP) in pure Python.
• hapsira — Utilities and Python wrappers for Orbital Mechanics.
• harley1992 — Data and formalisms from Harley 1992 publication
• harlow — Adaptive surrogate modelling
• hdmf-docutils — Collection of CLIs, scripts and modules useful to generate the NWB documentation
• hdmf-zarr — A package defining a Zarr I/O backend for HDMF
• head-direction — Analysis of head direction cells.
• hello-chp — A Quantmetry tutorial on how to publish an opensource python package.
• hidimstat — High-dimensional statistical inference tools for Python
• hilbert-toolkit — This package provide several implementations of the discrete Hilbert transform (DHT).
• himalaya — Multiple-target machine learning
• himawari-api — Python API for downloading and searching Himawari satellite data on local and cloud storage.
• hipar — Hierarchical Pattern-aided Regression
• hipsta — A python package for hippocampal shape and thickness analysis
• hmm-py — A python module to implement Hidden Markov hidden_markov for financial times series.
• hmmlearn — Hidden Markov Models in Python with scikit-learn like API
• Hoi — Higher Order Interactions
• honyx — Python package for creating and analyzing Higher-order networks from sequential dataset
• hqc — A package for the Helstrom Quantum Centroid classifier
• hyoga — Paleoglacier modelling framework
• hyperbox-brain — A scikit-learn compatible hyperbox-based machine learning library in Python
• hyperspy — Multidimensional data analysis toolbox
• hypll — A framework for hyperbolic learning in PyTorch
• igraph — High performance graph data structures and algorithms
• imagecat — Flexible, high-quality tools for procedural image editing.
• imate — Implicit Matrix Trace Estimator. Computes the trace of functions of implicit matrices. Accelerated on CPU and CUDA-capable GPU devices.
• imbalanced-ensemble — Toolbox for ensemble learning on class-imbalanced dataset.
• imbalanced-learn — Toolbox for imbalanced dataset in machine learning
• inequality — inequality: Spatial inequality analysis
• inne — A Isolation based anomaly detection algorithms.
• intrieri1997 — Data and formalisms from Intrieri et al. (1997) paper
• intrieri1998 — Data and formalisms from Intrieri et al. (1998)
• iohub — N-dimensional bioimaging data I/O with OME metadata in Python
• iop4 — A rewrite of IOP3, a pipeline to work with photometry and polarimetry of optical data from CAHA and OSN.
• ipyaladin — no summary
• irispy-lmsal — Provides tools to read and analyze data from the IRIS solar-observing satellite.
• ITMO-FS — Python Feature Selection library from ITMO University.
• julearn — Juelich Machine Learning Library
• junifer — JUelich NeuroImaging FEature extractoR
• jupytext — Jupyter notebooks as Markdown documents, Julia, Python or R scripts
• jupytext-ebp — Jupyter notebooks as Markdown documents, Julia, Python or R scripts
• kikuchipy — Processing, simulating, and indexing of electron backscatter diffraction (EBSD) patterns
• km3astro — Astronomical utilities for KM3NeT
• km3compass — Light weight package to read and exploit km3net compass data
• km3db — KM3NeT database library
• km3dia — Python module providing access to DIA DB information.
• km3io — "KM3NeT I/O library without ROOT"
• km3irf — KM3NeT instrument response functions
• km3net-testdata — KM3NeT TestData
• km3pipe — "An analysis framework for KM3NeT"
• km3services — Microservices for KM3NeT
• kmapper — Python implementation of Mapper algorithm for Topological Data Analysis.
• koho — Decision Forest C++ library with a scikit-learn compatible Python interface
• korner — korner
• lapy — A package for differential geometry on meshes (Laplace, FEM)
• lazyscribe — Lightweight and lazy experiment logging
• lbm-caiman-python — Light Beads Microscopy 2P Calcium Imaging Pipeline.
• lds-python — Linear Dynamical Systems
• leaspy — Leaspy is a software package for the statistical analysis of longitudinal data.
• legendkit — Legend creation and manipulation with ease for matplotlib
• libpypsg — A Python library for accessing the Planetary System Generator.
• librosa — Python module for audio and music processing
• lightkde — Lightning fast, lightweight, and reliable kernel density estimation.
• lightly — A deep learning package for self-supervised learning
• LightWave2D — A package for finite-difference time domain computation for light propagation
• limbo-ml — Library for accessing computer vision training data in Limbo Data Format.
• lisbet — LISBET (LISBET Is a Social BEhavior Transformer)
• lmfit — Least-Squares Minimization with Bounds and Constraints
• LRBoost — Linear Residual Boosting compatible with scikit-learn.
• macapype — Pipeline for anatomic processing for macaque
• magpylib — Free Python3 package to compute magnetic fields.