Dependencies & Compatibility

While building the CIL package we test with specific versions of dependencies. These are listed in the build.yml GitHub workflow and cil_development.yml. The following table tries to resume the tested versions of CIL and its required and optional dependencies. If you use these packages as a backend please remember to cite them in addition to CIL.

Core Dependencies

Package	Tested Version	Conda install command	Description	License
Python	3.10–3.13	python>=3.10,<=3.13		PSF-2.0
Numpy	2.0–2.4	numpy>=2,<=2.4		BSD-3-Clause
IPP	2021.12	-c ccpi ipp=2021.12	Intel Integrated Performance Primitives Library (required for CIL recon class)	ISSL

Optional Dependencies

Package	Tested Version	Conda install command	Description	License
ASTRA toolbox	2.0–2.4	astra-toolbox::astra-toolbox=2.4	CT projectors, FBP and FDK	GPL-3.0
TIGRE	3.1.3	ccpi::tigre=3.1.3	CT projectors, FBP and FDK	BSD-3-Clause
CCPi Regularisation Toolkit	26.0.0	CPU: ccpi::ccpi-regulariser=26.0.0=cpu* GPU: ccpi::ccpi-regulariser=26.0.0=cuda*	Toolbox of regularisation methods	Apache-2.0
TomoPhantom	3.0.3–3.1.4	httomo::tomophantom=3.1.4	Generates phantoms for test data	Apache-2.0
ipykernel		ipykernel	Provides the IPython kernel for Jupyter notebooks	BSD-3-Clause
ipywidgets		ipywidgets	Enables visualisation tools in Jupyter notebooks	BSD-3-Clause
zenodo_get	>= 1.6	zenodo_get>=1.6	Downloads datasets from Zenodo; used by dataexample in CIL-Demos	AGPL-3.0

CT Data Readers

Package	Tested Version	Conda install command	Description	License
olefile	>= 0.46	olefile>=0.46	Processes Microsoft OLE2 files; used to read ZEISS data	BSD-style
dxchange	>= 0.2.1	dxchange>=0.2.1	Interface with TomoPy for loading tomography data	BSD-style