{"library":"tdigest","type":"library","category":null,"description":"The `tdigest` library is a Python implementation of Ted Dunning's t-digest data structure, designed for efficient and accurate percentile and quantile estimation from streaming or distributed data. It enables computations like percentiles, quantiles, and trimmed means. The current official PyPI version is 0.5.2.2, with releases focusing on performance improvements and bug fixes. The library is actively maintained with occasional updates.","language":"python","status":"active","version":"0.5.2.2","tags":["data-structure","streaming","quantiles","percentiles","statistics","approximation","distributed-computing","big-data"],"install":[{"cmd":"pip install tdigest","imports":["from tdigest import TDigest"]}],"homepage":null,"github":"https://github.com/CamDavidsonPilon/tdigest","docs":null,"changelog":null,"pypi":"https://pypi.org/project/tdigest/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":0,"avg_install_s":null,"avg_import_s":null,"wheel_type":null},"url":"https://checklist.day/v1/registry/tdigest/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Tue Jul 28","install_tag":null}}