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TkTech
chancy
Python2024–2026
TkTech / chancy

chancy

A postgres-backed task queue for Python.

Data & DatabasesAutomation & Workflows
Explore on GitHubRead Hacker News discussions
2Distinct people
12Mentions
0Explicit recommenders
294GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

A postgres-backed task queue for Python.

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

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, 5:05:26 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 month12 dated mentions

Observed mentions: 2024-08-19 22:08:52 UTC to 2026-01-29 15:59:01 UTC.

0122024-08-01 00:00:00 UTC to 2024-09-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsAug 20242024-09-01 00:00:00 UTC to 2024-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-10-01 00:00:00 UTC to 2024-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-11-01 00:00:00 UTC to 2024-12-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments2024-12-01 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 2025-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-02-01 00:00:00 UTC to 2025-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-03-01 00:00:00 UTC to 2025-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-04-01 00:00:00 UTC to 2025-05-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsApr 20252025-05-01 00:00:00 UTC to 2025-06-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2025-06-01 00:00:00 UTC to 2025-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-07-01 00:00:00 UTC to 2025-08-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2025-08-01 00:00:00 UTC to 2025-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-09-01 00:00:00 UTC to 2025-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-10-01 00:00:00 UTC to 2025-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-11-01 00:00:00 UTC to 2025-12-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2025-12-01 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 2026-02-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 commentsJan 2026

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
Aug 20242024-08-01 00:00:00 UTC2024-09-01 00:00:00 UTC101
Sep 20242024-09-01 00:00:00 UTC2024-10-01 00:00:00 UTC000
Oct 20242024-10-01 00:00:00 UTC2024-11-01 00:00:00 UTC000
Nov 20242024-11-01 00:00:00 UTC2024-12-01 00:00:00 UTC211
Dec 20242024-12-01 00:00:00 UTC2025-01-01 00:00:00 UTC101
Jan 20252025-01-01 00:00:00 UTC2025-02-01 00:00:00 UTC000
Feb 20252025-02-01 00:00:00 UTC2025-03-01 00:00:00 UTC000
Mar 20252025-03-01 00:00:00 UTC2025-04-01 00:00:00 UTC000
Apr 20252025-04-01 00:00:00 UTC2025-05-01 00:00:00 UTC101
May 20252025-05-01 00:00:00 UTC2025-06-01 00:00:00 UTC202
Jun 20252025-06-01 00:00:00 UTC2025-07-01 00:00:00 UTC000
Jul 20252025-07-01 00:00:00 UTC2025-08-01 00:00:00 UTC101
Aug 20252025-08-01 00:00:00 UTC2025-09-01 00:00:00 UTC000
Sep 20252025-09-01 00:00:00 UTC2025-10-01 00:00:00 UTC000
Oct 20252025-10-01 00:00:00 UTC2025-11-01 00:00:00 UTC000
Nov 20252025-11-01 00:00:00 UTC2025-12-01 00:00:00 UTC202
Dec 20252025-12-01 00:00:00 UTC2026-01-01 00:00:00 UTC000
Jan 20262026-01-01 00:00:00 UTC2026-02-01 00:00:00 UTC202

What Hacker News says

2 sources
TkTech·May 30, 2025
Gonna toss my own hat in the ring there for the python+postgres ecosystem :) https://github.com/tktech/chancy > As a rule of thumb, if you're processing less than 1000 jobs per day or your jobs are mostly lightweight operations (like sending emails or updating records), you can stick with this solution. This seems... excessively low? Chancy is on the heavier side and happily does many millions of jobs per day. Postgres has no issue with such low throughput, even on resource constrained systems (think a $5 vps). Maybe they meant 1000 per second?
In How to run cron jobs in Postgres without extra infrastructure
TkTech·May 26, 2025
https://tkte.ch/chancy/ https://github.com/tktech/chancy Chancy is a postgres-backed task queue for Python that scratches a lot of the Celery itches. It's not meant for folks that need to run a million tasks a second, but for the majority of projects (many millions per day) it offers: - Robust job support, including timeouts, memory limits, retries, global uniqueness, global rate limiting, scheduling (cron and "in 10 seconds"), priorities, etc... - DAG based workflow plugin - It's asyncio-first with support for threading, multiprocessing, asyncio, and sub-interpreter tasks so each job can use the optimal concurrency model. Workflows can mix tasks across multiple queues and concurrency models. - Can be embedded inside your existing ASGI servers - great for things like development docker containers or containers deployed on say, unraid. - W
Read the rest
orker's handle scheduling (no need for `celery beat`) and have an optional built-in dashboard. - 1 infrastructure dependency (postgres) and 1 required package (psycopg3) - with everything else isolated in optional plugins. - Dynamically re-assign queues to new workers based on tags, add, pause (with auto-resume), modify or destroy queues at any time. - Highly observable - unlike Celery, you can just query your database when needed to see the entire system state - Portable - Linux/Windows/OSX - Permanently free and open-source without any "premium" or paid features. - Django integration - ORM/models, admin, and django auth integration for the dashboard. Chancy is a young tool, but is used in production environments with tens of thousands of users and billions of jobs run with great feedback from early users: > ...thank you for this amazing library... > hey, first thanks for such a great library! Chancy has worked incredibly well, and its modular design has made it a pleasure to use. Super lightweight but feature-full; it's a hard balance to strike.
In Ask HN: What are you working on? (May 2025)

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