fastccc-modern

fastccc-modern is a focused, maintained distribution of the FastCCC permutation-free cell-cell communication runtime. It keeps the two statistical analysis entry points used by ChatSpatial while removing reference-building, browser documentation, notebooks, bundled reference data, visualization, and HTML report generation.

The import name remains fastccc:

import fastccc

fastccc.statistical_analysis_method(...)

Why this distribution exists

FastCCC 1.0.1 requires Jinja2 3.1.6 solely for its optional HTML report layer. CellRank 2.3.2 depends on the PyPI release of pyGPCCA 1.0.4, whose metadata pins Jinja2 3.0.3 for a historical linting workaround even though pyGPCCA does not import Jinja2 at runtime. Those metadata constraints make the two scientific runtimes impossible to install together.

This distribution removes FastCCC's unused report layer and therefore has no Jinja2 dependency. Its statistical runtime can coexist with CellRank and pyGPCCA in a standard pip environment without dependency overrides.

Scope

Included:

• single-method FastCCC statistical analysis;
• Cauchy combination analysis;
• CellPhoneDB-format input preprocessing;
• interaction strength and analytical p-value calculations.

Not included:

• HTML report generation and plotting;
• bundled databases or tissue reference panels;
• reference-panel construction and query tooling;
• notebooks and documentation-site assets.

ChatSpatial downloads and validates the CellPhoneDB tables separately, so shipping duplicate databases in this wheel is unnecessary.

Attribution

The algorithms and original implementation are from Svvord/FastCCC. See NOTICE.md and LICENSE for details.