validate_email
Validate_email verify if an email address is valid and really exists.
Decision gist · record as of 2026-08-14
No. The package is abandoned (last release 2015-03-23, no maintenance since 2022-12-12) and does not reflect modern email infrastructure. SMTP verification is unreliable against current anti-spam measures, and Python compatibility is unspecified. For new projects, use a maintained alternative. For existing code, consider migration to an actively maintained email validation library.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- An optional external DNS package is required to enable MX record checking and email verification; basic format validation works without it.
- High install friction due to the source distribution format.
- Package is abandoned—last release was 2015-03-23, over a decade ago, with no commits since 2022-12-12.
License · maintenance · safety
LGPL (copyleft) — Licensed under LGPL (copyleft), which requires that derivative works and modifications remain under the same license. Redistribution is permitted but comes with copyleft obligations.
last release 2015-03-23 (4162 days) · last repo commit 2022-12-12 · 591 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 704,687 downloads/mo, #5,275 on PyPI
Alternatives
Verify before relying
pip install validate_email
from validate_email import validate_email
is_valid = validate_email('example@example.com')
is_valid = validate_email('example@example.com', verify=True)- Whether the package works reliably with modern Python versions and current email infrastructure standards.
- Current state of SMTP verification reliability given changes in email server configurations and anti-spam measures since 2015.
- Whether optional DNS dependencies are still maintained and compatible with current systems.
What it is and what it does
Validate_email checks whether an email address is properly formatted and can verify that it actually exists. It offers three levels of validation: basic format checking, MX record verification to confirm the domain has mail servers, and full SMTP verification to test whether the email address is accepted by the mail server. Optional external dependencies enable DNS lookups and SMTP checks; without them, only basic format validation is available.
The package is abandoned and has not been updated since 2015, meaning it does not account for modern email infrastructure changes, anti-spam measures, or Python version evolution. While it maintains moderate download volume, this likely reflects legacy codebases still using it rather than active new adoption. The lack of maintenance poses risks for compatibility and security.
Use it for
- Basic email format validation in user registration forms when you need only syntax checking.
- Verifying that a domain has mail servers before attempting to send email to that domain.
- Testing whether an email address is actively accepted by a mail server during account signup.
- Batch validation of email lists to filter out obviously invalid addresses before sending campaigns.
- Legacy application maintenance where the package is already in use and replacement is not feasible.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
No.
The package is abandoned (last release 2015-03-23, no maintenance since 2022-12-12) and does not reflect modern email infrastructure. SMTP verification is unreliable against current anti-spam measures, and Python compatibility is unspecified. For new projects, use a maintained alternative. For existing code, consider migration to an actively maintained email validation library.
Install
validate-email on PyPI
Before you install
High install friction due to the source distribution format. Package is abandoned—last release was 2015-03-23, over a decade ago, with no commits since 2022-12-12. No active maintenance or security updates.
An optional external DNS package is required to enable MX record checking and email verification; basic format validation works without it.
License in practice
Licensed under LGPL (copyleft), which requires that derivative works and modifications remain under the same license. Redistribution is permitted but comes with copyleft obligations.
Quickstart
pip install validate_email
from validate_email import validate_email
is_valid = validate_email('example@example.com')
is_valid = validate_email('example@example.com', verify=True)Verify before relying
- Whether the package works reliably with modern Python versions and current email infrastructure standards.
- Current state of SMTP verification reliability given changes in email server configurations and anti-spam measures since 2015.
- Whether optional DNS dependencies are still maintained and compatible with current systems.
Package facts
| License | LGPL copyleft |
| Python support | Not specified |
| Install friction | High. Source build required |
| Runtime dependencies | None |
| Maintenance | Abandoned 4,162 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 704,687 / month, #5,275 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: validate_email-1.3.tar.gz
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “verify email address exists”
- validate_emailValidates email addresses for proper format and checks whether they…
- pyIsEmailValidates email addresses against RFC standards and optionally checks…
- neverbounce-sdkPython client library for the NeverBounce email verification API v4,…
Give your agent the search over MCP, or paste the wish link into any chat.
More Internet packages
Botocore provides low-level, data-driven access to Amazon Web Services APIs, serving as the foundation for the AWS CLI and boto3 libraries.
Install it if you need programmatic access to AWS services.
Provides an async client for AWS services using botocore and aiohttp, allowing you to call AWS APIs asynchronously within asyncio-based applications.
Install it if you need to call AWS services from async Python code; it is the standard way to do so.
Pydantic validates Python data structures against type hints, coercing and checking input at runtime to ensure it matches a declared schema.
Provides a platform-independent file locking mechanism to coordinate access to files across processes and threads.
FastAPI is a Python web framework for building REST APIs using type hints, with automatic request validation, serialization, and interactive API documentation.
Provides common Protocol Buffer message definitions used across Google Cloud APIs, enabling Python clients to interact with Google services.
See also email-validator · pyIsEmail · zerobouncesdk · emval · email-normalize · neverbounce-sdk · mailchecker · secure-smtplib · mailosaur · validators