--- id: emval version: "0.1.13" license: unclear license_treatment: permissive maintenance: active --- # emval — emval is a blazingly fast email validator License: permissive · Maintenance: active · Downloads: 218.1K/mo ## What it is and what it does emval is a Rust-based email validator with Python bindings that checks email syntax against RFC 5322 and RFC 6531 standards. It validates both ASCII and internationalized email addresses, normalizes them to a canonical form, and provides detailed error messages when validation fails. The package supports configuration options for handling special cases like quoted local parts, domain literals, and SMTPUTF8 internationalization. The validator is designed as a drop-in replacement for slower Python validators, with zero runtime dependencies and precompiled wheels for most platforms. It includes a high-performance Polars plugin for batch validation of email addresses in DataFrames, making it suitable for data cleaning and ETL workflows. The package is actively maintained and has no known security vulnerabilities. Use it for: - Validate user email addresses during account registration or form submission with fast, RFC-compliant syntax checking. - Batch-validate millions of email addresses in a Polars DataFrame for data cleaning and deduplication pipelines. - Normalize email addresses to a canonical form for consistent storage and comparison across a database. - Reject emails with unsafe Unicode characters to prevent display and interpretation security issues. - Handle internationalized domain names and local parts in applications serving non-ASCII email users. ## Worth the install? AI-flagged interpretation of the facts above — verify before relying. Validates email addresses according to RFC 5322 and RFC 6531, with support for internationalized domains and local parts, returning normalized forms and detailed error messages. Yes, if you need fast, standards-compliant email validation. The package is actively maintained, has no security vulnerabilities, carries a permissive MIT license, and offers zero runtime dependencies. Install friction is moderate due to compiled wheels, but prebuilt binaries cover common platforms. Best suited for applications requiring high-throughput validation or batch processing with Polars; less necessary if you only validate a few emails per request. ## Install pip install emval uv add emval poetry add emval ## Installing emval Before you install: Medium install friction due to compiled wheels; however, the package is actively maintained with a recent release (2026-08-13) and has no runtime dependencies, making installation straightforward once the appropriate wheel is available for your platform. License in practice: Licensed under MIT (permissive), allowing unrestricted use, modification, and distribution in both open-source and commercial projects with minimal obligations. Quickstart: pip install emval from emval import validate_email email = "example@domain.com" try: val_email = validate_email(email) print(val_email.normalized) except Exception as e: print(str(e)) Requires Python 3.10 or later; precompiled wheels are available for common platforms (macOS, Linux, Windows on x86_64 and ARM), but other architectures may require compilation. Verify before relying: - Whether domain deliverability checking (MX record verification) is fully implemented or still in development as 'coming soon'. - Performance claims of '100-1000x faster' relative to python-email-validator—exact benchmarks and test conditions not provided in fact sheet. - Polars plugin functionality and whether it requires a separate installation step beyond the base emval package. ## Package facts - License: not declared (permissive) - Python support: supports_current - Install friction: medium - Maintenance: active - Downloads: 218.1K/month (top 15,000 on PyPI) - Known vulnerabilities: none known ## Tags email validation, RFC 5322 compliant email checker, internationalized email validator, email address syntax verification, fast email validation rust, email normalizer, domain deliverability check, email-validation, rust-bindings, data-cleaning [View on SkillFed](https://skillfed.io/packages/emval) · [View on PyPI](https://pypi.org/project/emval/)