Self-contained flow cytometry analysis helpers with a slim vendored Cytoflow runtime.
Project description
zeztz-flow
zeztz-flow is an marimo-compatible flow-cytometry FCS analysis package.
Derived from cytoflow, this package is designed to become a minimal platform, allowing users to perform vibe analysis with their own AI agents.
Features:
- FCS import with automatic well-plate metadata
- Cleanup gating: scatter, doublet removal, polygon, custom thresholds
- Density plots, faceted histograms, ridgeline plots
- Subset by row, column, or well
- Median-fluorescence export
- Self-contained — vendored Cytoflow runtime, no extra installs
- Pure Python — no compiled extensions
- Designed for AI-assisted analysis
Installation
pip install zeztz-flow
Package name on PyPI is zeztz-flow (with hyphen), but the import is zeztzflow (no hyphen, no underscore):
import zeztzflow as flow
Using with marimo (uv-based)
# Install into existing marimo environment
uv pip install zeztz-flow
# Or create a new project
uv init my-fcs-analysis
cd my-fcs-analysis
uv add marimo zeztz-flow
uv run marimo edit
Development
git clone https://github.com/anomalyco/ZeztzFlow.git
cd ZeztzFlow
uv venv
uv pip install -e .
uv run python test/package_smoke_test.py
For conda-based setup: mamba env create -f environment.yml
Quick Start
Open a marimo notebook and paste this prompt to your AI agent:
Run a first-pass flow cytometry analysis using zeztzflow and marimo on the FCS files in
path/to/fcs_directory. Before writing any code, find and read the docs of the installed packages — there should be a template for zeztzflow as well.
The agent reads AGENTS.md and _marimo_template.py from the installed
package to follow the default pipeline, channel conventions, and marimo
gotchas.
Documentation
- PROJECT_GUIDE.md — API reference, workflows, testing, publishing
- AGENTS.md — guide for AI coding agents
- llms.txt — machine-readable project map
- examples/marimo_template.py — canonical marimo notebook template
Testing
MPLCONFIGDIR=/tmp/mplconfig python test/package_smoke_test.py
License
GPL-compatible. See LICENSE.txt and THIRD_PARTY_NOTICES.md.
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