{"library":"splink","type":"library","category":null,"description":"Splink is a Python package for fast, accurate, and scalable probabilistic record linkage (entity resolution). It enables users to deduplicate and link records from datasets that lack unique identifiers, leveraging unsupervised learning based on the Fellegi-Sunter model. Splink supports various SQL backends like DuckDB, Apache Spark, and AWS Athena, allowing it to scale to datasets of 100 million records or more, and provides a suite of interactive visualizations for model understanding and diagnostics.","language":"python","status":"active","version":"4.0.16","tags":["data linkage","entity resolution","deduplication","probabilistic matching","big data","sql","data science"],"install":[{"cmd":"pip install splink","imports":["from splink import Linker","from splink import SettingsCreator","from splink import block_on","from splink import DuckDBAPI","from splink import splink_datasets","import splink.comparison_library as cl"]},{"cmd":"pip install 'splink[spark]'","imports":[]},{"cmd":"pip install 'splink[athena]'","imports":[]},{"cmd":"pip install 'splink[postgres]'","imports":[]}],"homepage":"https://moj-analytical-services.github.io/splink/","github":"https://github.com/moj-analytical-services/splink","docs":null,"changelog":null,"pypi":"https://pypi.org/project/splink/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":20.4,"avg_import_s":1.48,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/splink/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Tue Jul 28","install_tag":null}}