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coleifer
huey
Python2017–2025
coleifer / huey

huey

a little task queue for python

13Distinct people
15Mentions
1Explicit recommenders
6.1KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

a little task queue for python

GitHub

Where it is used

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

What people are saying

I love Huey [1]. I switched everything over from Celery to it. It’s so simple it’s a godsend, even supports SQLite queue [1] https://github.com/coleifer/huey

nerdbaggy used a recommendation phrase. One indexed comment matches. This is a phrase match, not a verdict.

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 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 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 year15 dated mentions

Observed mentions: 2017-03-13 06:20:19 UTC to 2025-12-10 03:45:47 UTC.

012342017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20172018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 4 mentions; 0 submissions, 4 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 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): 1 mentions; 0 submissions, 1 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 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
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC101
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC101
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC202
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC404
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 UTC202
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 UTC211
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC211

What Hacker News says

15 sources
In Django: what’s new in 6.0
I've considered using Nextflow for bioinformatics pipelines but have yet to take the plunge. At work, I develop a proteomics pipeline that is composed of huey¹ tasks (Python library; simple alternative to Celery) which either use subprocess to call out to some external tool, or are just pure python. It runs in a worker container which is managed by Docker swarm, and all containers pull jobs from redis. For our scale, it works great. However, I don't have control over the resource utilization of individual steps, and in the past I've had issues with the pipeline blocking as a result of how I was chaining tasks together. I think something like Nextflow would remove these limitations, but one thing I think I would miss is the ability to debug individual pipeline steps locally with an interactive debugger. As far as I can tell, Nextflow has l
Read the rest
ogging/tracing facilities but nothing quite like an interactive debugger. I'd be happy to be told I'm wrong, or even that I'm doing it wrong. Other reasons I'd like to start using Nextflow: - my homebrew pipeline would be easier to setup/share - there are some efforts in the proteomics community to develop Nextflow pipelines (eg. QuantMS²). I think it would to have a shared language to express pipelines, and it would make benchmarking simpler. ___ ¹ https://github.com/coleifer/huey/ ² https://docs.quantms.org/en/latest/
In Nextflow: Data-Driven Computational Pipelines
Thanks for giving me advice on database syncing, but I think that you kinda missed the point. It doesn't matter how I chose 10 seconds as a periodic task interval, problem was that to a simple question about feature support I got dismissive/borderline rude answer which made me lose confidence in Huey as a project and it's long-term maintainability. And it's not like I asked for something exotic, but a support for subminute periodic tasks which almost every other task queue has. That issue doesn't seem to be anywhere in Github, so it's deleted: https://github.com/coleifer/huey/issues?utf8=%E2%9C%93&q=is%... As you said, it's a free software and you can do whatever you want with it, but to me this is a huge red flag and I'm happy to not be part of it. ;)
In RQ – Simple Job Queues for Python
I was looking into python task queuing recently, here's some other choices from my notes: https://github.com/malthe/pq - postgres queue based on rq and ruby queue_classic https://github.com/coleifer/huey - sqlite, redis and in memory by coleifer (peewee creator). Possible to implement postgres storage layer simply. https://github.com/closeio/tasktiger - flexible redis-based python task queue alternative to celery https://dramatiq.io/ - actor based python job queue on redis/rabbitMQ https://github.com/GoogleCloudPlatform/psq - gcp pub/sub based task queue
In System design hack: Postgres is a great pub/sub and job server
> These kinds of dismissive comments make me wonder if the writer ever created anything of substance in their life. Ad hominem [0]. And he has. I use the things he has built in production. He has contributed to Python community (and SQLite) to a great extent. Some of the amazing things he built [1], [2], [3]. [0] - https://yourlogicalfallacyis.com/ad-hominem [1] - https://github.com/coleifer/peewee [2] - https://github.com/coleifer/huey [3] - https://github.com/coleifer/sqlite-web
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