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pyre-check
OCaml2018–2025
meta / pyre-check · Archived

pyre-check

Performant type-checking for python.

24Distinct people
26Mentions
0Explicit recommenders
7.2KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Performant type-checking for python.

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

Mentioned in the same Hacker News threads. That is not proof they are substitutes.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 2:59:58 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 year26 dated mentions

Observed mentions: 2018-05-11 16:24:10 UTC to 2025-04-29 15:17:18 UTC.

02462018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 4 mentions; 0 submissions, 4 comments20182019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 5 mentions; 1 submissions, 4 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 6 mentions; 1 submissions, 5 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments20212022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 4 mentions; 0 submissions, 4 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 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
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC404
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC514
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC615
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC303
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC202
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC404
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

What Hacker News says

6 sources
I work at Instagram, which is a O(millions) LOC Python monorepo with massive throughput and a large engineering team. It's actually quite nice — but our code is heavily, heavily typed. It would be miserable without the type system. Some of the older parts of the codebase are more loosely typed (although they're shrinking reasonably quickly), and those sections are indeed a huge pain to ramp up on. Part of the success of IG's large Python codebase is FB's investment into developer tooling; for example, FB wrote (and open-sourced, FWIW) our own PEP-484 compliant type checker, Pyre [1], because mypy was too slow for a codebase of our size. 1: https://github.com/facebook/pyre-check
In Guido van Rossum joins Microsoft
The reasons turn out to be decently boring here. Zoncolan [0] and Pyre [1], which Pysa shares core libraries with, are also written in OCaml, and the language made sense to use from the perspective of both sharing code and having people who are proficient and comfortable writing in OCaml working on the project. [0]: https://engineering.fb.com/security/zoncolan/ [1]: https://github.com/facebook/pyre-check
In Pysa: An open source tool to detect and prevent security issues in Python code
You can find most of security issues with Pysa that you can model as a taint flow problem. Examples could be flows to function that enable code execution or shell injection, SQL injection, SSRF, XSS and many others. As long as you can model the security issue in a taint-flow model then Pysa should be able to detect these issues. These are the configuration we share with Pysa where you can find examples of bug categories we detect https://github.com/facebook/pyre-check/blob/master/stubs/tai...
In Pysa: An open source tool to detect and prevent security issues in Python code

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