Reverse Dependencies of zarr

The following projects have a declared dependency on zarr:

• abTEM — no summary
• acoustics-hardware — Controlling hardware used in acoustic measurement systems
• acquire-imaging — no summary
• affinder — Quickly find the affine matrix mapping one image to another using manual correspondence points annotation
• aicsimageio — Image Reading, Metadata Conversion, and Image Writing for Microscopy Images in Pure Python
• aind-data-transfer — Services for compression and transfer of aind-data to the cloud
• aind-exaspim-pipeline-utils — AIND exaSPIM pipeline utilities.
• aind-ng-link — Python package for the generation of neuroglancer links
• aind-segmentation-evaluation — Python package for evaluating neuron segmentations in terms of the number of splits and merges
• aliby — Process and analyse live-cell imaging data
• anndata — Annotated data.
• annotrack — napari plugin for annotating tracks to estimate error rates
• arraylake — Python client for ArrayLake
• arviz — Exploratory analysis of Bayesian models
• arviz-base — Base ArviZ features and converters.
• asdf-zarr — Asdf extension to support Zarr arrays
• astrohack — Holography Antenna Commissioning Kit
• astroviper — Astro Visibility and Image Parallel Execution Reduction
• autodidaqt — AutodiDAQt is a simple data acquisition framework. For science.
• autodidaqt-receiver — Analyis-side bridge for autodiDAQt.
• ax-env — dependency manager for XENONnT package
• axio2zarr — AXIOSCAN to Zarr conversion
• aydin — Aydin - Denoising but chill
• backedarray — Sparse and dense arrays backed by on-disk storage in Zarr or HDF5
• bfio — Simple reading and writing classes for tiled tiffs using Bio-Formats.
• bibat — Batteries-included Bayesian analysis template
• bigstream — Tools for distributed alignment of massive images
• bio2zarr — Convert bioinformatics data to Zarr
• biobookshelf — a collection of python scripts and functions for exploratory analysis of bioinformatic data in Python
• bioimageit-formats — Manage data formats for BioImageIT project
• bioio — Image reading, metadata management, and image writing for Microscopy images in Python
• bioio-ome-tiff — A BioIO reader plugin for reading tiff files in the OME format.
• bioio-tiff-glob — A BioIo reader for reading Tiff Glob images
• bioio-tifffile — A BioIO reader plugin for reading TIFFs using Tifffile
• biosimulator-processes — no summary
• biosimulators-simularium — A Python tool for converting Biosimulators spatial simulation outputs into a Simularium-compliant format.
• bism — Biomedical Image Segmentation Models (BISM)
• blendernc — Blender add-on to import datasets (netCDF, grib, and zarr)
• bolero — sequence
• bolero-process — Data preprocessing for bolero package
• brainlit — Code to process and analyze brainlit data
• bsccm — Access the Berkeley Single Cell Computational Microscopy
• carbonplan-forest-risks — forest carbon potential and risks
• carbonplan-forests — forest carbon potential and risks
• carbonplan-trace — tracking forest carbon emissions
• catmaid-catnap — Experiments working with CATMAID and napari
• ccfwidget — A Jupyter widget for the Allen Common Coordinate Framework (CCF) Mouse Brain Atlas.
• ccic — Chalmers Cloud Ice Climatology
• cellcanvas — A tool for painting in cellular architecture
• cellcutter — cellcutter is a Python module for creating thumbnail images of cells given a multi-channel TIFF image and segmentation mask
• cellrank — CellRank: dynamics from multi-view single-cell data
• chelsa-cmip6 — This package contains function to create monthly high-resolution climatologies for a selected geographic area for min-, max-, and mean temperature, precipitation rate and bioclimatic variables from anomalies and using CHELSA V2.1 as baseline high resolution climatology. Only works for GCMs for which tas, tasmax, tasmin, and pr are available.
• CIDAN — cidan-Calcium Imaging Data ANalysis
• CircuitSeeker — Tools for finding neural circuits
• cirrocumulus — Bring your single-cell data to life
• clouddrift — Accelerating the use of Lagrangian data for atmospheric, oceanic, and climate sciences
• cmip6-downscaling — climate downscaling using cmip6 data
• coclico — Python tools for Coastal Climate Core Services
• coiled-runtime — Simple and fast way to get started with Dask
• copernicus-marine-client — no summary
• copernicusmarine — no summary
• cronomaxrf — Python package to read and convert the Crono MA-XRF HDF5 data file format
• cryocanvas — A plugin for interactive segmentation of CryoET data using ML embeddings
• cryohub — IO hub for Cryo-EM, Cryo-ET and subtomogram averaging data.
• csi-utils — utils for Wifi CSI data process
• cspot — CELL SPOTTER (CSPOT): A scalable framework for automated processing of highly multiplexed tissue images
• cubed — Bounded-memory serverless distributed N-dimensional array processing
• cwas — Category-wide association study (CWAS). This is a data analytic tool to perform stringent association tests to find non-coding loci associated with autism spectrum disorder (ASD).
• cylinter — CyLinter
• czitools — Tools to simplify reading CZI (Carl Zeiss Image) meta and pixel data
• dacapo-ml — Framework for deployment of volumetric machine learning models, and easy composition of training jobs.
• dafits — Read FITS files in Dask Arrays.
• DaMa-ML — A framework for data management and is used to do data science and machine learning's pipelines
• dandi — Command line client for interaction with DANDI archive elements
• das — DAS
• dask-ms — xarray Dataset from CASA Tables
• DASstore — An Object Storage for Distributed Acoustic Sensing
• databroker — Unification of NSLS-II data sources
• dataset-format-benchmark — Image dataset format benchmark
• ddc-indices — Package for calculating meteorological indices
• ddc-utility — Package for retrieving DDC datasests
• decode — DESHIMA code for data analysis
• decorrelation — An InSAR postprocessing tool
• deepflash2 — A Deep learning pipeline for segmentation of fluorescent labels in microscopy images
• deepsensor — A Python package for modelling xarray and pandas data with neural processes.
• deepss — DeepSS
• demerge — DESHIMA merge code for observed datasets
• detectorcal — Ring artefact suppression in X-ray CT using pixel-wise linear correction
• dexp — Light-sheet Dataset EXploration and Processing
• divbrowse — A web application for interactive visualization and analysis of genotypic variant matrices
• dlsia — Deep Learning for Scientif Image Analysis
• drb-driver-zarr — DRB Zarr driver
• drb-impl-zarr — DRB Zarr implementation
• dreamcoat — The joyful oceanographic seagoing expedition planning helper
• dscim — Data-Driven Spatial Climate Impact Model core component code
• dycw-utilities — no summary
• dye-score — Utilities to build the dye-score metric from OpenWPM javascript call data.
• earthnet-minicuber — EarthNet Minicuber
• earthnet-models-pytorch — EarthNet Models PyTorch
• easyclimate — A line of code to analyze climate