{"library":"cachey","type":"library","category":null,"description":"Cachey is a Python library from Dask designed for caching in analytic computations where the costs of recomputation and storage can vary significantly. Unlike traditional caching policies (e.g., LRU), Cachey is mindful of these varying costs. The latest PyPI version is 0.2.1, released in March 2020. The project README states it is 'new and not robust'.","language":"en","status":"maintenance","version":"0.2.1","tags":["cache","caching","dask","analytics","performance"],"last_verified":"Wed May 27","install":[{"cmd":"pip install cachey","imports":["from cachey import Cache"]}],"homepage":null,"github":null,"docs":null,"changelog":null,"pypi":null,"npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":1.6,"avg_import_s":0,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/cachey/compatibility"}}