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We present pySEOBNR, a Python package for gravitational-wave (GW) modelingdeveloped within the effective-one-body (EOB) formalism. The package containsan extensive framework to generate state-of-the-art inspiral-merger-ringdownwaveform models for compact-object binaries composed of black holes and neutronstars. We document and demonstrate how to use the built-in quasi-circularprecessing-spin model SEOBNRv5PHM, whose aligned-spin limit (SEOBNRv5HM) hasbeen calibrated to numerical-relativity simulations and the nonspinning sectorto gravitational self-force data using pySEOBNR. Furthermore, pySEOBNR containsthe infrastructure necessary to construct, calibrate, test, and profile newwaveform models in the EOB approach. The efficiency and flexibility of pySEOBNRwill be crucial to overcome the data-analysis challenges posed by upcoming andnext-generation GW detectors on the ground and in space, which will afford thepossibility to observe all compact-object binaries in our Universe.

pySEOBNR: a software package for the next generation of effective-one-body multipolar waveform models