A Python toolkit for flow cytometry analysis supporting GatingML and FlowJo workspaces

A computational toolkit in R for the integration, exploration, and analysis of high-dimensional single-cell cytometry and imaging data.

A Python library for reading and writing Flow Cytometry Standard (FCS) files

R package for pre-processing of mass and flow cytometry data

R scripts to reproduce analyses in our paper comparing clustering methods for high-dimensional cytometry data

A data-centric flow/mass cytometry automated analysis framework

Huge-scale, high-performance flow cytometry clustering in Julia

Framework for image and flow cytometry analysis

Immunology Informatics - Big Data Analysis in Immunology - Tutorials

FlowUtils is a Python package containing various utility functions related to flow cytometry analysis, primarily focused on compensation and transformation tasks commonly used within the flow community.

Javascript / node.js code to read FCS flow cytometry data

🧫 Read Flow Cytometry Standard (FCS) files in Julia

Official implementation of GateNet

R package for interactive visualization and analysis of single-cell data

R package for analysis of single-cell data using graphs

An R package for the processing of plate reader and flow cytometry data. This includes: normalisation and calibration of plate reader data, and removing debris and doublets and calibration of flow cytometry data.

CITEViz: Replicating the Interactive Flow Cytometry Workflow in CITE-Seq

This repository extends scanpy to handle flow and mass cytometry data.

R package to cluster single-cell data and generate features that can be used for model building

Open source digital twin framework for flow cytometry, modeling fluidics, light scattering, electronics, triggering, and event generation for extracellular vesicle analysis.