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mail.python.org

Backlink analytics and domain authority

Anchors
All Dofollow Nofollow UGC DR ▾ Ref. domains ▾ Ref. pages ▾ Links to target ▾
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50 anchors All New Lost
Anchor text Ref. domains ▾ Top DR Ref. pages Links to target Dofollow links
proposition originale de 2008 1 0 1 0 0%
regarding digital roots 1 0 1 1 100%
distutils-sig 1 0 1 1 100%
Py3k development mailing list 1 0 1 1 100%
指导委员会(Steering Council)邮件列表中的讨论 1 0 1 1 100%
the 1 0 1 1 100%
veröffentlichte eine Überprüfung 1 0 1 1 100%
liście mailingowej 1 0 1 0 0%
our announcement mailing list 1 0 1 1 100%
[email protected] 1 0 1 1 100%
Python mailing list 1 0 1 1 100%
未记录的实现细节 1 0 1 0 0%
http://mail.python.org/pipermail/python-list/2005-May/321907.html 1 0 1 1 100%
Warsaw's 1 0 1 1 100%
Future 与 import 相关的一些改进 1 0 1 1 100%
https://mail.python.org/archives/list/[email protected]/thread/YT2UAHJIW2UXSROPIW7424CU3CFYRLKZ/ 1 0 8 0 0%
Python-DEV 1 0 1 1 100%
Python mailing lists 1 0 1 0 0%
python-tutor thread 1 0 1 0 0%
https://mail.python.org/mailman/listinfo/python-es 1 0 1 1 100%
https://mail.python.org/mailman/options/python-bugs-list/archive%40mail-archive.com 1 0 1 0 0%
http://mail.python.org/mailman/options/mailman-users/archive%40jab.org 1 0 3 3 100%
"[Python-Dev] Sorting" 1 0 1 0 0%
用户邮件列表 1 0 1 0 0%
posted a review 1 0 2 2 100%
Mailing list 1 0 3 3 100%
today 1 0 1 1 100%
Bulletin de sécurité Python KRI7GC6S27YV5NJ4FPDALS2WI5ENAFJ6 du 21 janvier 2026 1 0 1 1 100%
http://mail.python.org/pipermail/python-dev/2000-March/thread.html#2423 1 0 1 0 0%
advice to new developers (especially those seeking a two-month project) 1 0 1 1 100%
one recent thread in particular 1 0 2 2 100%
[9] 1 0 1 0 0%
"resigning" 1 0 1 1 100%
https://mail.python.org/pipermail/import-sig/2012-March/000430.html 1 0 1 1 100%
several future import-related improvements 1 0 1 1 100%
http://mail.python.org/pipermail/python-dev/2003-August/037687.html 1 0 2 0 0%
[6] 1 0 1 0 0%
Nick Coghlan 1 0 1 1 100%
https://mail.python.org/mailman3/lists/python-ideas.python.org/ 1 0 1 1 100%
http://mail.python.org/pipermail/python-dev/2005-November/057833.html 1 0 1 0 0%
[Image-SIG] PIL image resizing quality seems a little rough, any workarounds? 1 0 1 1 100%
pandas-dev mailing list 1 0 1 0 0%
টিউটর তালিকা 1 0 1 0 0%
old post in python’s mailing list 1 0 3 3 100%
thanks to 1 0 2 2 100%
python-ideas ML proposal 1 0 1 1 100%
Oda's 1 0 1 1 100%
http://mail.python.org/pipermail/pythonmac-sig/2002-June/005700.html 1 0 1 1 100%
für OS/2 und VMS einzustellen 1 0 1 1 100%
frustrated by online animosity 1 0 1 0 0%
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Frequently Asked Questions
What anchor texts are used to link to mail.python.org?
This page shows all anchor texts found in backlinks pointing to mail.python.org, sorted by the number of referring domains using each anchor. Anchor texts range from branded terms (like the domain name itself) to keyword-rich phrases that describe the linked content. The distribution of anchor texts reveals how other websites perceive and describe mail.python.org.
What is anchor text?
Anchor text is the visible, clickable text in a hyperlink. Search engines use anchor text as a signal to understand what the linked page is about. For example, if many sites link to a page using the anchor text "best running shoes," search engines infer that the page is relevant to that topic. Anchor text appears in several forms: exact-match (contains target keywords), branded (uses the company or domain name), generic (like "click here"), and naked URLs.
Why is anchor text analysis important for SEO?
Anchor text analysis helps identify potential SEO risks and opportunities. A natural backlink profile has diverse anchor texts including branded terms, generic phrases, and topic-relevant keywords. Over-optimization, where too many backlinks use the same exact-match keyword anchor, can trigger search engine penalties. Conversely, understanding which anchors drive the most authority (measured by referring domain count and DR) helps prioritize link building efforts.
How many unique anchor texts does mail.python.org have?
The anchor text report for mail.python.org displays all distinct anchor texts grouped by their hash. Each row shows how many unique referring domains use that anchor, the total number of links, and the dofollow percentage. A high number of unique anchors generally indicates a healthy, natural backlink profile with diverse link sources.