{"library":"numbagg","type":"library","category":null,"description":"Numbagg provides fast N-dimensional aggregation functions accelerated by Numba's just-in-time (JIT) compiler and NumPy's generalized universal function (gufunc) machinery. It aims to outperform libraries like pandas, bottleneck, and NumPy for certain operations, especially with parallelization. The library is currently at version 0.9.4 and maintains an active development pace with regular updates.","language":"python","status":"active","version":"0.9.4","tags":["Numba","NumPy","aggregation","performance","array-processing","scientific-computing"],"install":[{"cmd":"pip install numbagg","imports":["from numbagg import nansum"]}],"homepage":null,"github":"https://github.com/numbagg/numbagg","docs":null,"changelog":null,"pypi":"https://pypi.org/project/numbagg/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":7,"avg_import_s":0.82,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/numbagg/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Tue Jun 30","last_verified":"Tue Jun 30","next_check":"Thu Jul 30","install_tag":null}}