Single-cell epigenomics analysis tools

a cutting-edge cell segmentation model specifically designed for single-molecule resolved spatial omics datasets. It addresses the challenge of accurately segmenting individual cells in complex ima…

Python and R SOMA APIs using TileDB’s cloud-native format. Ideal for single-cell data at any scale.

Declarative creation of composable visualization for Python (Complex heatmap, Upset plot, Oncoprint and more~)

A container registry for the scverse

Spatialproteomics is a light weight wrapper around xarray with the intention to facilitate the data exploration and analysis of highly multiplexed immunohistochemistry data. Docs available here: ht…

Feature-rich Python implementation of the tximport package for gene count estimation.

Multimodal weakly supervised learning to identify disease-specific changes in single-cell atlases

🐟 🔬🦀 alevin-fry is an efficient and flexible tool for processing single-cell sequencing data, currently focused on single-cell transcriptomics and feature barcoding.

Deep probabilistic analysis of single-cell and spatial omics data

Single-cell analysis in Python. Scales to >1M cells.

muon is a multimodal omics Python framework

Multimodal Data (.h5mu) implementation for Python

A scanpy extension to analyse single-cell TCR and BCR data.

WholeGraph - large scale Graph Neural Networks

Lamin's R SDK.

A fast and reliable background task processing library for Python 3.

Unofficial API for YouTube Music

Data collaboration hub built on lamindb.

AnnData interoperability in R

Simple, powerful, and fast logging for Python.

Maestro: Netflix’s Workflow Orchestrator

Single source of truth with requirements for pip and conda

Create virtual Zarr stores from archival data files using xarray syntax

cuVS - a library for vector search and clustering on the GPU

Korvus is a search SDK that unifies the entire RAG pipeline in a single database query. Built on top of Postgres with bindings for Python, JavaScript, Rust and C.