{"library":"zfit","type":"library","category":null,"description":"zfit is a modern, scalable Python library for statistical model fitting, primarily designed for High Energy Physics but applicable broadly. It leverages TensorFlow (and optionally JAX) for accelerated computations on CPUs and GPUs, offering a user-friendly API for defining, manipulating, and fitting complex probability density functions. The current version is 0.28.0, with a release cadence of typically a few months between minor versions, often driven by new feature development and backend compatibility updates.","language":"python","status":"active","version":"0.28.0","tags":["physics","statistics","fitting","high-energy-physics","tensorflow","jax","bayesian-inference"],"last_verified":"Fri May 22","install":[{"cmd":"pip install zfit[tf]","imports":["from zfit import Parameter","from zfit import Space","import zfit.pdf as zpdf","import zfit.data as zdata","import zfit.loss as zloss","import zfit.minimize as zmin"]},{"cmd":"pip install zfit[jax]","imports":[]},{"cmd":"pip install zfit","imports":[]}],"homepage":"https://zfit.readthedocs.io","github":"https://github.com/zfit/zfit","docs":null,"changelog":null,"pypi":"https://pypi.org/project/zfit/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":50.6,"avg_import_s":19.22,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/zfit/compatibility"}}