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wemake-services
wemake-python-styleguide
Python2020–2026
wemake-services / wemake-python-styleguide

wemake-python-styleguide

The strictest and most opinionated python linter ever!

2Distinct people
3Mentions
0Explicit recommenders
2.9KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

The strictest and most opinionated python linter ever!

GitHub

Where it is used

No documented product use has been verified yet.

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, 1:49:46 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 year3 dated mentions

Observed mentions: 2020-03-13 07:50:35 UTC to 2026-08-20 07:32:30 UTC.

0122020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments20202021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20232024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-01-01 00:00:00 UTC to 2027-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 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
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC202
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC000
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC000
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC000
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC000
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC000
2026 (partial)2026-01-01 00:00:00 UTC2027-01-01 00:00:00 UTC110

What Hacker News says

3 sources
> There's a better solution: use open-source cli tools that do just that! We do not deny that you can't run the open-source tools locally. Be it one line command, or be it setting up pylint or flake8 with dedicated configurations. DeepSource is a tool meant to eliminate the need to set up all those open source tools locally or in your CI pipeline. So that you don't need to - Fish for issues amongst hundreds of lines of logs in the CI - Figure out and update linter config to remove duplicates and false positives (for ex: Bandit throws errors like `assets statement used` in a test file — which is a false-positive. Bandit doesn’t know that it is a test file by default) - Some issues needed better description of why is that an issue, for ex: why should default file permissions be 0600? Justification on why is it necessary,. - By default on ev
Read the rest
ery commit or pull request, linters run on all the files. - If there are issues that occur in say 50 places, one have to manually fix it. > 1. 520 Python checks? Use `wemake-python-styleguide` (wrapper around flake8) that has bigger amount of checks: https://github.com/wemake-services/wemake-python-styleguide There's also `pylint` with a set of awesome checks as well. Our focus at the moment is not on style issues. In fact, amongst the categories of issues we raise (anti-patterns, bug-risks, performance, security, style, documentation), style issues are the most debated on by our users as it is really subjective. We’re thinking of removing style issues by default (as an opt-in) and are working on running formatters like `black`, `yapf`, .. with a single line config in `.deepsource.toml`. Our analyzer team actively adds custom rules which you don’t get from the open-source tools. The following issues for example: - Raising another exception when `assert` fails is ineffective. For ex: `assert isinstance(num_channels, int), ValueError('Number of image channels needs to be an integer')` - If the condition would not be satisfied, user would be expecting a `ValueError`, but this would be raised: `AssertionError: Number of image channels needs to be an integer` which should be - `yield` used inside a comprehension (which breaks code in Python 3.8) - Write operation on file that is opened in read-only mode - I/O detected on a closed file descriptor > 2. Type checking? Use `mypy`: it just a single command! Sure. If one prefers running it locally (or) as part of their CI. But if you already use DeepSource to flag issues, it can be enabled by a single line in .deepsource.toml file. > 3. Autofixing? Use `black` / `autopep8` / `autoflake` and you can use `pybetter` to have the same ~15 auto-fix rules. But, it is completely free and open-source We are working on adding support for autopep8, black and autoflake in coming weeks. They mostly auto-patch stylistic issues [1]. Thanks for letting us know about pybetter. It looks like a great tool and fixes ~9 issues [2]. DeepSource’s autofix aim is to fix more than 3/4th of issues we detect and we detect 522 issues in our Python analyzer. We have dedicated engineering team actively working on the analyzers. As of today, following are some of the issues our Python analyzer can autofix (which I couldn’t find it among the open-source tools): - No use of `self` - Usafe of dangerous default argument - Module imported but unused - Function contains unused argument - Debugger import detected - Debugger activation detected - Unnecessary comprehension - Unnecessary literal - Unnecessary call - Unnecessary typecast - Bad comparison test - Empty module - Built-in function `len` used as condition - Unnecessary `fstring` - `raise NotImplemented` should be `raise NotImplementedError` - `assert` statement used outside of tests Same goes with Go and other analyzers we support. > I don't like this whole idea of such tools (both technically and ethically): > Why would anyone want to send all their codebase to 3rd party? We used to call it a security breach back in the days. We follow strict security practices [3]. In a gist, 1) We do not store your code, 2) Source code is pulled in an isolated environment that has no access to any of our internal systems or the external network, 3) As soon as the analysis is completed, the environment is destroyed and all logs are purged. Also, there are many tools that developers use everyday (Travis CI, Circle CI, GitHub) where the source code is sent to the cloud — I don't think it is accurate to call it a security breach. That said, we have on-premise setup of DeepSource in the roadmap. We’re working on SOC 2 Type 2 compliance as well [4]. > On moral side, this (and similar) projects look like thin wrappers around open-source tools but with a monetisation model. How much do these companies contribute back to the original authors of pylint, mypy, flake8? Ones who created and maintained them for years. I will be happy to be wrong here We have kept the tool completely free to use for open-source projects. We’ve also partnered with GitHub Education and made it free for students. We’re an early stage company trying to build a business in automating objective parts of code review and making it easier for every developer to adopt and use static analysis. With all transparency, we had plans to sponsor open-source projects but got sidetracked due to various reasons. We will be backing some of the open-source projects, in next couple of weeks. [1] https://gist.githubusercontent.com/jaipradeesh/6ad8404fef253... [2] https://gist.githubusercontent.com/jaipradeesh/b8a0e6b526f73... [3] https://deepsource.io/security [4] https://vanta.com/guides/vantas-guide-to-soc-2
In Launch HN: DeepSource (YC W20) – Find and fix issues during code reviews
There's a better solution: use open-source cli tools that do just that! 1. 520 Python checks? Use `wemake-python-styleguide` (wrapper around flake8) that has bigger amount of checks: https://github.com/wemake-services/wemake-python-styleguide There's also `pylint` with a set of awesome checks as well. 2. Type checking? Use `mypy`: it just a single command! 3. Autofixing? Use `black` / `autopep8` / `autoflake` and you can use `pybetter` to have the same ~15 auto-fix rules. But, it is completely free and open-source I don't like this whole idea of such tools (both technically and ethically): - Why would anyone want to send all their codebase to 3rd party? We used to call it a security breach back in the days - On moral side, this (and similar) projects look like thin wrappers around open-source tools but with a monetisation model. How much
Read the rest
do these companies contribute back to the original authors of pylint, mypy, flake8? Ones who created and maintained them for years. I will be happy to be wrong here
In Launch HN: DeepSource (YC W20) – Find and fix issues during code reviews

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