{"library":"dtlpymetrics","type":"library","category":null,"description":"Dataloop Metrics (dtlpymetrics) is a Python library that provides scoring and metrics functionality specifically for Dataloop AI projects. It allows users to define, calculate, and report custom metrics on datasets and annotation sets within the Dataloop platform. The current version is 1.2.32. Its release cadence is tied to the Dataloop platform and SDK updates, typically receiving frequent minor updates.","language":"python","status":"active","version":"1.2.32","tags":["dataloop","metrics","scoring","ai","mlops"],"last_verified":"Sat May 23","install":[{"cmd":"pip install dtlpymetrics","imports":["from dtlpymetrics.dtlpm import DataloopMetrics"]}],"homepage":null,"github":null,"docs":null,"changelog":null,"pypi":"https://pypi.org/project/dtlpymetrics/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":90,"avg_install_s":19.5,"avg_import_s":null,"wheel_type":"sdist"},"url":"https://checklist.day/v1/registry/dtlpymetrics/compatibility"}}