Reverse Dependencies of colorcet

The following projects have a declared dependency on colorcet:

• aclustermap — Convert YAMLized pandas DataFrame to Seaborn clustermap
• ai4scr-athena — ATHENA package provides methods to analyse spatial heterogeneity in spatial omics data
• ark-analysis — Toolbox for analysis on segmented images from MIBI.
• arpes — Modular data analysis code for angle resolved photoemission spectroscopy (ARPES)
• arrakis-nd — Arrakis module for near detector data.
• astroCAST — Package to analyze calcium fluorescence events in astrocytes
• AttosecondRayTracing — Attosecond Ray Tracing visualisation package
• auto-pi-lot — Distributed behavioral experiments
• azureml-automl-dnn-vision — AutoML DNN Vision Models
• bebi103 — Python utilities for the Caltech course BE/Bi 103: Data Analysis in the Biological Sciences.
• biocircuits — Utilities to accompany *Biological Circuit Design* by Michael Elowitz and Justin Bois.
• blendernc — Blender add-on to import datasets (netCDF, grib, and zarr)
• bokeh-catplot — DEPRECATED. Utility to generate plots with categorical variables using Bokeh.
• brainsight — Analysis toolkit for brain activity data.
• Broad-GenePy — A useful module for any CompBio
• captest — Framework and methods to facilitate photovoltaic facility capacity testing following ASTM E2848.
• cbig-network-correspondence — A toolbox for exploring network correspondence across atlases
• cloudbandPy — A Python package for atmospheric cloud bands detection.
• cmap — Scientific colormaps for python, without dependencies
• colorcet — Collection of perceptually uniform colormaps
• combinatorial-gwas — A package for the final project of MIT's 6.874 class Deep Learning in Life Science
• confirms — Comprehension of trade term sheets and confirmations
• convince — Better instruction following for large language models
• crfm-helm — Benchmark for language models
• cxas — Segmentation of 159 anatomical classes for Chest X-Rays.
• cytoself — An image feature extractor with self-supervised learning
• das — DAS
• das_unsupervised — Tools for unsupervised classification of acoustic signals.
• dcctk — Diachronic Character-based Corpus toolkit
• ddmtools — A Python library for doing differential dynamic microscopy on polydisperse samples
• decorrelation — An InSAR postprocessing tool
• deeplabcut-live — Class to load exported DeepLabCut networks and perform pose estimation on single frames (from a camera feed)
• deepss_unsupervised — Tools for unsupervised classification of acoustic signals.
• dexp — Light-sheet Dataset EXploration and Processing
• discotoolkit — DISCOtoolkit is an python package that allows users to access data and use the tools provided by the DISCO database.
• dtumathtools — A plotting package for the Mathematics 1 course at the Technical University of Denmark
• dynamo-release — Mapping Vector Field of Single Cells
• erlab — Python package for ARPES data analysis and visualization.
• FastFuels — 3D fuelscapes for the contiguous US
• fmot — Femtosense Model Optimization Toolkit
• geo-data-utils — Geology Data Utils
• geovista — Cartographic rendering and mesh analytics powered by PyVista
• Gewel — Python animation tools.
• giskard-toolbox — A random collection of tools I find useful for data science.
• gptchem — Use GPT-3 to solve chemistry problems
• grad-descent-visualizer — A package for visualizing test functions and gradient descent.
• h5analysis — Library to analyse, plot, and export data stored in HDF5 files.
• hgct — Hanzi Glyph Corpus Toolkit
• hicrepcm — no summary
• holoviews — Stop plotting your data - annotate your data and let it visualize itself.
• hvplot — A high-level plotting API for the PyData ecosystem built on HoloViews.
• iqplot — Generate Bokeh plots for data sets with one quantitative variable.
• isoplot — Generate figures from Isocor output
• itkwidgets — Interactive Jupyter widgets to visualize images, point sets, and meshes in 2D and 3D
• Jvis-learn — A generalization of t-SNE and UMAP to single-cell multimodal omics
• kaleidoscope — Kaleidoscope
• kydlib — Routines for exploratory data analysis.
• lattpy — Simple and efficient Python package for modeling d-dimensional Bravais lattices in solid state physics.
• lidbox — End-to-end spoken language identification (LID) on TensorFlow
• linmo — Package for Lineage Motif Analysis. Extracts statistically over- or under- represented cell fate patterns within a set of lineage trees.
• locan — Analysis software for single-molecule localization microscopy
• ltlcross-runner — Python wrapper around tool ltlcross from Spot library
• ltlcross-wrapper — Python wrapper around tool ltlcross from Spot library
• mapintel — MapIntel is a system for acquiring intelligence from vast collections of text data by representing each document as a multidimensional vector that captures its own semantics. The system is designed to handle complex Natural Language queries and visual exploration of the corpus.
• marchalib — A. Marchal library
• mcot.cifti — CIFTI/greyordinate interface
• mcot.surface — surface interface
• medaprep — no summary
• moraine — Modern Radar Interferometry Environment, A simple, stupid InSAR postprocessing tool in big data era
• mxmftools — some scripts
• nanslice — Scripts to slice and display neuroimages (probably stored in nifti format)
• napari-points2regions — A napari plugin for Points2Regions
• navarp — Navigation tool for ARPES data.
• neogidashboard — Dashboard for visualizing data
• netcdfella — Netcdfella is providing multiple ways to convert netcdf filed into other data types such as ASCII, PNG and JPG, and even create graphs.
• nmma — A nuclear physics multi-messenger Bayesian inference library
• nmrquant — Quantify metabolites from 1D Proton NMR experiments
• omniplate — For analysing and meta-analysing plate-reader data
• onelearn — Machine learning algorithms for online learning
• onto-vae — Package to preprocess ontologies, train OntoVAE models and obtain pathway activities.
• opentnsim — The OpenTNSim package aims to facilitate the analysis of network performance for different network configurations, fleet compositions and traffic rules.
• Orange-Spectroscopy — Extends Orange to handle spectral and hyperspectral analysis.
• peempy — Python tool for processing XMCD PEEM data
• plateypus — Processes and plots high throughput cytometry experiments through a GUI
• prolintpy — Automated analyis and visualization of lipid-protein interactions.
• prosphera — Visualize Multidimensional Data on a Sphere
• pyadcirc — Python library with utilties to handle ADCIRC files and runs.
• pyHDX — Derive ΔG for single residues from HDX-MS data
• pyliger — The Python version of LIGER package.
• pymarine — A collection of functions and classes for marine sea state modelling
• python-swan — Python based tool for tracking single units from spike sorted data across several electrophysiological recording sessions.
• pyvista — Easier Pythonic interface to VTK
• pywup — A small set of tools
• qa4sm-reader — Processes output of qa4sm.eodc.eu (NetCDF file), creating plots and providing the data in other formats.
• radianceQuantifier — Automatically crops mice and quantifies their tumor luminescences from raw IVIS images
• routeml — Python package for CVRP utilities
• rubin-sim — Scheduler, survey strategy analysis, and other simulation tools for Rubin Observatory.
• runway-python — Helper library for creating Runway models
• sashimi-domains — A Python module for mixed-methods qualitative studies of large textual or symbolic corpora, providing applications of statistical models accompanied by tailored interactive visualizations. It affords the detection of both textual and metadata structures by employing stochastic block modeling (SBM) from `graph-tool` or (currently deprecated) word embedding from `gensim`.
• scclip — no summary