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pytest-dev
pytest
Python2015–2025
pytest-dev / pytest

pytest

The pytest framework makes it easy to write small tests, yet scales to support complex functional testing

9Distinct people
9Mentions
0Explicit recommenders
14.7KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

The pytest framework makes it easy to write small tests, yet scales to support complex functional testing

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, 7:02:50 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 year9 dated mentions

Observed mentions: 2015-06-16 06:20:07 UTC to 2025-02-04 21:31:20 UTC.

01232015-01-01 00:00:00 UTC to 2016-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments20152016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 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): 1 mentions; 0 submissions, 1 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2025

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
20152015-01-01 00:00:00 UTC2016-01-01 00:00:00 UTC110
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC000
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC000
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC000
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC000
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC303
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 UTC101
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC101
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC202
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC101

What Hacker News says

1 sources
that doesn't make much sense and there are necessary uses for eval() /exec(), mostly for dynamic creation of code: For example here's Python dataclasses in the standard library using exec() to create the `__init__` and other methods that go on your dataclass: https://github.com/python/cpython/blob/main/Lib/dataclasses.... Here's Pydantic using it for a jupyter notebook check: https://github.com/pydantic/pydantic/blob/594effa279668bd955... here's Pytest using it to rewrite modules so that functions like assert etc. are instrumented by pytest: https://github.com/pytest-dev/pytest/blob/eca93db05b6c5ec101... Here's the decorator module using it (as is the only way to do this in Python) to create a signature matching decorator for an arbitrary function: https://github.com/micheles/decorator/blob/ad013a2c1ad796996... All of these libraries are
Read the rest
completely secure as eval/exec are used with code fragments that are generated by the libraries, not based on untrusted input. eval() /exec() are not running executable files, just Python code, the same way all the rest of the package is already doing.
In Python malware starting to employ anti-debug techniques

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