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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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Anchor text Ref. domains ▾ Top DR Ref. pages Links to target Dofollow links
http://mail.python.org/pipermail/python-dev/2012-June/120430... 1 0 1 0 0%
NumPy 讨论 1 0 1 1 100%
https://mail.python.org/archives/list/[email protected]/message/L2KBZM64MYPXIITN4UU3X6L4PZS2YRTB/ 1 0 1 0 0%
[Python-Dev] perplexed by mroarrow-up-right 1 0 1 1 100%
https://mail.python.org/pipermail/python-dev/2001-January/ 1 0 2 2 100%
http://mail.python.org/pipermail/python-dev/2004-March/043739.html 1 0 1 0 0%
ディクショナリ 1 0 1 1 100%
to announce 1 0 1 1 100%
this thread 1 0 1 1 100%
been released 1 0 1 1 100%
http://mail.python.org/pipermail/xml-sig/2003-March/009294.html 1 0 1 1 100%
posted 1 0 1 1 100%
python.org 1 0 8 8 100%
1 0 1 1 100%
times 1 0 1 1 100%
over 1 0 1 1 100%
mentioned 1 0 1 1 100%
on edu-sig 1 0 1 1 100%
[Python-3000 1 0 1 0 0%
move ancillary repositories to Bitbucket 1 0 1 1 100%
статьи 1 0 1 0 0%
bug weekend 1 0 1 1 100%
were never intended to be used frequently 1 0 1 1 100%
https://mail.python.org/archives/list/[email protected]/thread/NRUHDUS2IV2USIZM2CVMSFL6SCKU3RZA/ 1 0 1 1 100%
Py3k development mailing list 1 0 1 1 100%
http://mail.python.org/pipermail/mailman-developers/ 1 0 1 1 100%
https://mail.python.org/archives/list/[email protected]/message/MN24EZEYEWUSC2WM2SKXR6BYK3Z3XH4Z/ 1 0 1 0 0%
NumPy mailing list 1 0 4 4 100%
also keen on pepping-up the workflow and statuses 1 0 1 1 100%
python-tutor thread 1 0 1 0 0%
https://mail.python.org/mailman/listinfo/python-es 1 0 1 1 100%
released 1 0 4 4 100%
https://mail.python.org/mailman/listinfo/scikit-learn 1 0 1 1 100%
Mailman 3 Python-Dev Archive 1 0 1 1 100%
previous discussion 1 0 1 1 100%
http://mail.python.org/pipermail/python-dev/2005-November/057833.html 1 0 1 0 0%
parallel processing demo 1 0 1 1 100%
http://mail.python.org/pipermail/python-announce-list/2010-March/008218.html 1 0 1 1 100%
https://mail.python.org/archives/list/[email protected]/message/KCH45DFSBMHFTEMQADTAN7XPIHLF2RHJ/ 1 0 1 0 0%
brachte mich zum Nachdenken 1 0 1 1 100%
let things evolve organically 1 0 1 1 100%
Python 開發者指南 1 0 1 1 100%
mailing list archives 1 0 2 2 100%
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.