{"schema_version":1,"metadata":{"branch":"release","release":"7.9","architecture":"amd64","generated_at":"2026-09-09T04:04:02.361425+00:00","source_url":"https://cdn.openbsd.org/pub/OpenBSD/7.9/packages/amd64/sqlports-7.54.tgz","source_sha256":"2de00144847bf9da3a365be982f101dbb55d591ed7a915ea94984a16ab0e0404","package_count":12059,"source_kind":"sqlports"},"package":{"name":"bogofilter-1.2.5-lmdb","path":"mail/bogofilter,lmdb","url":"/packages/release/mail/bogofilter,lmdb/","comment":"bayesian spam filter","homepage":"https://bogofilter.sourceforge.io/","maintainer":"Marc Espie <espie@openbsd.org>","description":"\t\tbogofilter -- fast Bayesian spam filtering\n\nThis package implements a fast Bayesian spam filter along the lines suggested \nby Paul Graham in his article \"A Plan For Spam\".\n\nThis version substantially improves on Paul's proposal by doing smarter\nlexical analysis.  In particular, hostnames and IP addresses are retained\nas recognition features rather than broken up. Various kinds of MTA \ncruft such as dates and message-IDs are discarded so as not to bloat\nthe word lists.\n\nFlavors:\n\t* db4:\t\tuse v4 of the Berkeley database\n\t* sqlite3:\tuse SQLite 3 database backend\n\t* qdbm:\t\tuse QDBM database backend\n\t* lmdb:\t\tuse LMDB database backend\n","package_architecture":"amd64","stem":"bogofilter","readme":null,"dependencies":[{"path":"converters/libiconv","type":"library","package_spec":"","url":"/packages/release/converters/libiconv/"},{"path":"databases/lmdb","type":"library","package_spec":"","url":"/packages/release/databases/lmdb/"},{"path":"devel/gettext,-tools","type":"build","package_spec":"","url":"/packages/release/devel/gettext,-tools/"},{"path":"devel/metaauto","type":"build","package_spec":"","url":"/packages/release/devel/metaauto/"},{"path":"devel/autoconf/2.69","type":"build","package_spec":"","url":"/packages/release/devel/autoconf/2.69/"},{"path":"archivers/xz","type":"build","package_spec":"STEM->=5.4.0","url":"/packages/release/archivers/xz/"}],"reverse_dependencies":{"count":0,"url":null},"categories":["mail"],"flavors":["db4","sqlite3","qdbm","lmdb"],"only_for_architectures":[],"not_for_architectures":[]}}
