python-email-validator
mailcheck
python-email-validator | mailcheck | |
---|---|---|
3 | 8 | |
1,013 | 7,950 | |
- | 0.0% | |
7.5 | 0.0 | |
13 days ago | almost 2 years ago | |
Python | JavaScript | |
The Unlicense | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
python-email-validator
- Robust Email Validator
-
Python: Data validation
Validating an email address using email_validator
-
Stop Validating Email Addresses with Regex
It's complicated but thankfully you don't have to reinvent the wheel:
https://github.com/JoshData/python-email-validator (my project)
The README covers a lot of ground: internationalized domain names, internationalized local parts, SMTPUTF8, Unicode normalization, not performing SMTP checks, not permitting obsolete email syntax, and missing UCS-4 support in Python 2.7.
mailcheck
-
Email Validation Logic is Wrong (2021)
Not an "instead of" approach, but the best thing I'd implemented when running an ecom site was a typo detector that prompted people to fix their email if it looked wrong, like "[email protected]", "Did you mean [email protected]?".
At the time I used "mailcheck": https://github.com/mailcheck/mailcheck
There appears to be a more modern implementation here: https://github.com/ZooTools/email-spell-checker
It reduced the amount of badly entered emails more than any other approach I tried.
-
Stop Validating Email Addresses with Regex
It misses the very common mistake of typing a comma instead of a dot.
Otherwise, yeah, most people would be better served by a library that detects domain typos like https://github.com/mailcheck/mailcheck than spending time on regexes.
-
Ruby's Email Address Regexp
The most helpful thing I've used in the real world is something that looks for common typographical errors, even if the email is technically valid.
Like, if the user types "[email protected]", it pops a dialogue asking "Did you mean "[email protected]". But lets them keep what they typed, or do a different fix if needed.
I found some JS called "mailcheck": https://github.com/mailcheck/mailcheck
There are updated clones that use react, vue, etc, instead of jquery.
With a working ecommerce site, this improved the percentage of correct emails more than anything else I tried, and I had tried many things. Because it's a bad situation when you've taken someone's money and have nothing other than a shipping address to contact them if something goes wrong (bad shipping address, out of stock situation, etc).
-
Check If Email Exist
I somewhat lol'd when the demo allowed "[email protected]" just fine. Guess kickstarter isn't using mailcheck anymore. Looks like it's an open issue:
https://github.com/mailcheck/mailcheck/issues/179
-
Some useful regular expressions for programmers
I suppose it depends on what we mean by validate. Running an ecommerce site, I got a lot of mileage out of prompting the customer to fix emails that "looked wrong". We allowed them to proceed if they wanted. A really common one was "[email protected]" when "[email protected]" was wanted. We used a slightly modified version of https://github.com/mailcheck/mailcheck and found it to be really useful.
-
I bought 300 emoji domain names from Kazakhstan and built an email service
It does work well. I used a customized version of https://github.com/mailcheck/mailcheck on an ecomm website and the amount of bounces due to typos went way down.