{"library":"jaxley","type":"library","category":null,"description":"Jaxley is a Python library for differentiable neuron simulations built on JAX. Current version is 0.13.0, released with monthly cadence. It enables automatic differentiation through neuron models, supporting multi-compartment simulations, channel dynamics, and synaptic connections.","language":"python","status":"active","version":"0.13.0","tags":["neuroscience","differentiable","simulation","jax"],"install":[{"cmd":"pip install jaxley","imports":["import jaxley as jx","from jaxley import Module"]}],"homepage":null,"github":null,"docs":null,"changelog":null,"pypi":null,"npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":null,"provenance":{"verified_status":"passing","verified_at":"Mon Jun 29","last_verified":"Mon Jun 29","next_check":"Wed Jul 29","install_tag":null}}