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Pre-release

This release is a pre-release and may not be stable for production use.

Shadows

Shadows are on-disk interfaces for scverse data standards such as AnnData and MuData.

It is an experimental project.

PyPi version

Installation

pip install shadows
# or
pip install git+https://github.com/scverse/shadows

Features

The shadows library aims to implement the following features:

  • Shadow objects: Read-only AnnDataShadow and MuDataShadow for HDF5 files.

  • AnnDataShadow and MuDataShadow for Zarr files.

  • AnnDataShadow and MuDataShadow for Parquet-based serialization (pqdata).

  • Data shadows for .pqdata and .zarr files on S3 storage.

Shadow objects

Briefly, shadow objects simply work like this:

from shadows import *
ash = AnnDataShadow("pbmc3k.h5ad")
msh = MuDataShadow("pbmc5k_citeseq.h5mu")

All the various features are showcased in the following tutorials:

Release files for shadows 0.1a2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for shadows 0.1a2
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shadows-0.1a2.tar.gz 18.4 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for shadows 0.1a2
File Interpreter ABI Platform
shadows-0.1a2-py3-none-any.whl Python 3 none any Details

Total release size: 38.3 kB

Release files / shadows-0.1a2.tar.gz

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Release files / shadows-0.1a2-py3-none-any.whl

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