{"categories":[{"label":"Software Development","url":"https://skillfed.io/packages/category/software-development/18"},{"label":"Internet","url":"https://skillfed.io/packages/category/internet/6"},{"label":"Communications","url":"https://skillfed.io/packages/category/communications"},{"label":"Email","url":"https://skillfed.io/packages/category/communications-email"}],"enrichment":{"capability":"Normalizes email addresses by detecting the mailbox provider and stripping provider-specific behaviors like plus addressing and period ignoring, with optional async support and DNS-based MX record lookup.","skillfed_tags":["email-processing","async-ready","dns-lookup"],"use_cases":["Deduplicating user email addresses in signup forms or databases where users may have entered equivalent addresses using plus addressing or periods.","Detecting which mailbox provider a user is using to apply provider-specific features or restrictions in your application.","Batch processing large lists of email addresses asynchronously to normalize them and retrieve MX records for delivery validation.","Normalizing email addresses in offline mode (skip_dns=True) when DNS lookups are unavailable or undesired.","Canonicalizing email addresses for user identity matching across systems that may have received them in different formats."],"what_it_does":"email-normalize is a Python 3.11+ library that takes email addresses and returns their canonical form by detecting the mailbox provider and applying provider-specific normalization rules. It handles behaviors like Gmail's plus addressing (foo+bar@gmail.com \u2192 foo@gmail.com) and period stripping (f.o.o@gmail.com \u2192 foo@gmail.com), and folds provider alias domains to a single form (googlemail.com \u2192 gmail.com). The library supports both synchronous and asynchronous workflows, with the async interface maintaining an LFRU cache of MX lookups for efficient batch processing.\n\nThe package normalizes against a known set of providers including Apple, Fastmail, Google, Microsoft, ProtonMail, Rackspace, Yandex, and Zoho. It can perform DNS lookups to detect custom domains and retrieve MX records, or skip DNS entirely and normalize only against well-known domains using a static map. This flexibility makes it suitable for scenarios ranging from simple email deduplication to comprehensive provider detection in applications that need to understand mailbox behavior.","worth_installing":"Yes. The package is actively maintained, has no known vulnerabilities, uses a permissive license, and solves a real problem in email handling with low install friction. It's well-suited for applications that need reliable email normalization across multiple providers, especially those requiring async support or batch processing."},"id":"email-normalize","links":{"html":"https://skillfed.io/packages/email-normalize","md":"https://skillfed.io/packages/email-normalize.md","pypi":"https://pypi.org/project/email-normalize/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-29","license_spdx":null,"license_treatment":"permissive","name":"email-normalize","python_support":"supports_current","summary":"Return a normalized email-address stripping ISP specific behaviors"},"popularity":{"monthly_downloads":75235,"position":14735,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"3.2.0"}