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vinta
awesome-python
Python2014–2026
vinta / awesome-python

awesome-python

The definitive list that answers "I want to do X in Python, which tool should I use?"

29Distinct people
29Mentions
0Explicit recommenders
334.4KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

The definitive list that answers "I want to do X in Python, which tool should I use?"

GitHub

Where it is used

No documented product use was verified in the last source check.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 6:01:08 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year29 dated mentions

Observed mentions: 2014-06-30 09:31:00 UTC to 2026-10-18 17:16:22 UTC.

0123452014-01-01 00:00:00 UTC to 2015-01-01 00:00:00 UTC (exclusive): 5 mentions; 2 submissions, 3 comments20142015-01-01 00:00:00 UTC to 2016-01-01 00:00:00 UTC (exclusive): 4 mentions; 2 submissions, 2 comments2016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 3 mentions; 1 submissions, 2 comments2017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 3 mentions; 1 submissions, 2 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20202021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2026-01-01 00:00:00 UTC to 2027-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments. Incomplete calendar period.2026*

* An incomplete calendar period is marked with an outlined bar. Its count is not directly comparable with a full period.

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20142014-01-01 00:00:00 UTC2015-01-01 00:00:00 UTC523
20152015-01-01 00:00:00 UTC2016-01-01 00:00:00 UTC422
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC312
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC303
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC110
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC312
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC101
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC202
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC211
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC202
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC101
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC101
2026 (partial)2026-01-01 00:00:00 UTC2027-01-01 00:00:00 UTC101

What Hacker News says

2 sources
Community-run blacklists for plugins like uBlock Origin are comprehensive and well-maintained I think that blacklists are opposite to search in a sense. Naive search is an easy target for those who try to game its results in an endless arms war. Ads and annoyance listings are not, because those who want to game it would a) delete the specific rules and get catched by feedback, b) add rules to downplay the opponents and also get reported. In a search, there is hard to say who played low, because everyone will do that. I think “we” should resurrect directories instead of a search, which already presented itself as nonsense in a long run for too many times. A directory is a categorized collection of links with a meaningful description (opposed to in-site bs marketing claims which these sites have to do no matter what) and few curated comment
Read the rest
s. E.g. awesome lists out there: https://github.com/vinta/awesome-python https://github.com/quozd/awesome-dotnet https://github.com/avelino/awesome-go https://github.com/awesome-selfhosted/awesome-selfhosted … think awesome cars, awesome appliances, awesome socks, awesome instruments, awesome food etc. Every area has some interned knowledge which waits for a platform to post it on. There will be ads push force just like with search, but at least it would be controlled by community, not by faceless moremoney entity. The difference with search is that search is automated and thus is much more vulnerable to ranking tricks. You can then run very naive search over this curated data and get good results. Also it would shift trust from sites (which you want to find out to trust or not in the first place) to people who pull-request links into a directory. You never know which of SERP results made by whom. In a directory, you can see who posted what and what their rating or age of participation is. This is inevitable because in a modern world trust can only be built with time to a person, and there is no good will except of someone real who got tired of the shit so much that they are ready to go to lengths to explain/advise/help others and get it back eventually (that’s the core of the foss idea). No corp can align with what we want anymore, because their competition is always better at money, and at SERP. There is simply no other way, in my view.
In Google's new related search box optimizes for the wrong metric
I'm not a python developer by trade, but here are some of the resources I have found helpful. The links below are in the order I would read them if I was starting again. Hitchhiker's Guide to Python - https://docs.python-guide.org/ * Setting up virtual environments * Structuring projects * Code style (PEP8) * Popular libraries for various use cases (i.e. Django/Flask for web applications) setup.py (for humans) - https://github.com/navdeep-G/setup.py * Instructs on how to write a setup.py file for distributing python packages * Contains links to other resources to learn more about setup.py Python 3 in One Picture - http://coodict.github.io/python3-in-one-pic/ * I sometimes forget syntax when switching between different languages :) A Guide to Python's Magic Methods - https://rszalski.github.io/magicmethods/ * The special methods typically
Read the rest
used with object oriented python that start and end with two underscores "__" Awesome Python - https://github.com/vinta/awesome-python * In their own words "A curated list of awesome Python frameworks, libraries, software and resources." * Whenever I start on a new language or skill, I always check if there is an "awesome" list available Hope you find these as useful as I have!
In WTF Python: Exploring and understanding Python through surprising snippets

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