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django
deps
Web Development2014–2025
django / deps

deps

Django Enhancement Proposals

17Distinct people
18Mentions
0Explicit recommenders
531GitHub stars
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Django Enhancement Proposals

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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, 3:56:07 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 year18 dated mentions

Observed mentions: 2014-04-14 15:43:24 UTC to 2025-10-12 13:14:43 UTC.

0123452014-01-01 00:00:00 UTC to 2015-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments20142015-01-01 00:00:00 UTC to 2016-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 3 mentions; 2 submissions, 1 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): 5 mentions; 1 submissions, 4 comments20192020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 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; 1 submissions, 1 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 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
20142014-01-01 00:00:00 UTC2015-01-01 00:00:00 UTC110
20152015-01-01 00:00:00 UTC2016-01-01 00:00:00 UTC101
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC321
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 UTC514
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC000
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC101
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 UTC211
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC303

What Hacker News says

18 sources
I've exited countless Python/Django threads discussing future plans. Year -1: The community has a problem. Year 0: Proposal to fix the problem. Year 1: A small but vocal subset of the Python/Django community pops up in every thread: "It's not actually a problem." or "It's not an issue that my project would ever encounter so limited resources shouldn't be expended on it." Year 2: People are choosing other solutions because Python/Django isn't addressing the problem. Year 3: We'll form a committee. The committee doesn't think it's a problem. Year 4: The community has a problem. Fine. Why doesn't the community write a Python Enhancement Proposal/Django Enhancement Proposal (PEP/DEP)? Years 5-10: PEP/DEP ignored. Year 11: The community has a problem. PEP/DEP implemented and released. Year 12-22: Major packages refuse to support the change. Ye
Read the rest
ar 23: Last version not supporting the change deprecated. Year 23+1 day: Fork of last deprecated version Python not supporting change created and released. I have 15 years of code in Python still running but spend a little more than 50% of my time in other stacks. I don't notice as many people arguing against basic features, like a REST API package in Django, in non-Python/Django communities. The precursor to a Django REST API package, content negotiation, has been a draft DEP since early 2014 (https://github.com/django/deps/blob/main/draft/content-negot...). That's going on 12 years of stalled progress for a feature that needed to be released in 2010. With Python/Django you learn not to wait because nothing is going to change. And yes, Python/Django are open source. And yes agin, I donate over $1,000/year to support F/OSS projects that I depend on.
In Why it took 4 years to get a lock files specification
I was using Redis and Celery but was not happy with the complexity. But then I found out that background workers are being implemented to Django. https://github.com/django/deps/blob/main/accepted/0014-backg... This functionality has been backported as django-tasks library. You can use the database (i.e. Postgres) as the permanent storage. For periodic jobs and running the django-tasks, I use Superchronic, which is a Docker-compatible cron. It is compatible with cron, with the added benefit that you can run jobs with sub-minute granularity. I have had no problems with running Superchronic inside my fly.io app. I run Superchronic and Django with honcho and Procfiles.
In How I build software quickly
I believe from memory Django decided to move to using Black back in 2019 [0] but delayed the change until Black exited Beta. Black became none beta at the end of January [1]. This was finally merged to the main branch today [2]. I suspect there are lots of other both open source and private projects that are also making the change now. This is a show of confidence in Black as the standard code formatter for Python. 0: https://github.com/django/deps/blob/main/accepted/0008-black... 1: https://news.ycombinator.com/item?id=30130316 2: https://github.com/django/django/pull/15387
In Django: Reformatted code with Black
:) Django currently requires that every table have a _single_ primary key column. You can have a unique multi-column index, but you _also_ need to have a single primary key column, which sometimes makes working with existing databases tricky or inefficient. It's Django's oldest open ticket, from August 2005: https://code.djangoproject.com/ticket/373 The trick is how do you group those columns together in a way that stays compatible with the rest of the framework. Here's a 2015 proposal "DEP 191" for how to make it work: - https://github.com/django/deps/blob/main/draft/0191-composit... Basically, the multi-columns end up needing to be exposed as a single python object (CompositeField) to stay compatible with the rest of the framework, but do changes to the individual "subfields" on the row-object need to be kept in sync (data binding) with
Read the rest
the CompositeField-object and maybe vice-versa? Now we need an "Observer" (which Django doesn't currently have) to watch for changes to fields, etc. So a lot of new concepts end up needing to be introduced to make this happen. And it needs to work with migrations and serialization while trying to maintain backward-compatibility. Here's rough code (again, from 2015): https://github.com/django/django/pull/4553 Since 2015, Django now has class-based-indexes which should make things slightly easier: https://docs.djangoproject.com/en/stable/ref/models/indexes/ Maybe at least the Observables could get merged in as a first-step which would make the remaining work a little easier?
In Django 4.0 release candidate 1 released
The author writes that they have a particularly big piece of maintenance coming up. > The latest change we need is an especially large amount of work, as we will have to move from Python 2 to Python 3. This sounds like the transition from Django 1.11 to (probably) Django 2.2, if they're moving from LTS to LTS, and it definitely is a big piece of work if you also have to change python versions. Django defined a release schedule DEP[0] a few years back to try to preference stability and reduce the amount of maintenance when moving between LTS versions, which is approximately every 3 years. If your application runs on an LTS version without any deprecation warnings, then you should be able to move to the next LTS version without any changes. Which is nice in theory, but 3rd party packages in particular aren't always aligned in such a nice wa
Read the rest
y. If the stars align though, it is 6 years (LTS + LTS) of no changes. This is all to say, I think the author has a point, but that Django has recognised the maintenance burden as an issue, and has tried to help developers with that as best they can, without just shutting down all progress. I think the balance is mostly right. Moving from 1.11 to 2.2 should be mostly painless. Unfortunately, moving from Python 2 to Python 3 is going to make that more painful. From 2.2 the maintenance burden should be much less than in previous years. Stick with Django if the features meet your needs. [0] https://github.com/django/deps/blob/master/final/0004-releas...
In Django's goals are probably not our goals for our web application

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