I made "Wove: Beautiful Python async" to help easily make async API and QuerySet calls in views

Hi r/Django, I've released a new library I made for improving the usability of asyncio. I'm a Django developer first, so I designed it with Django views specifically in mind. Check it out and tell me what you think!

[https://github.com/curvedinf/wove/](https://github.com/curvedinf/wove/)

Here is the beginning of the readme to save you a click:

# Wove

Beautiful Python async.

# What is Wove For?

Wove is for running high latency async tasks like web requests and database queries concurrently in the same way as asyncio, but with a drastically improved user experience. Improvements compared to asyncio include:

* Looks Like Normal Python: Parallelism and execution order are implicit. You write simple, decorated functions. No manual task objects, no callbacks.
* Reads Top-to-Bottom: The code in a weave block is declared in the order it is executed inline in your code instead of in disjointed functions.
* Automatic Parallelism: Wove builds a dependency graph from your function signatures and runs independent tasks concurrently as soon as possible.
* High Visibility: Wove includes debugging tools that allow you to identify where exceptions and deadlocks occur across parallel tasks, and inspect inputs and outputs at each stage of execution.
* Normal Python Data: Wove's task data looks like normal Python variables because it is. This is

/r/django
https://redd.it/1mvo3h4

The last supported Python version for Pytype will be 3.12

An update on pytype

“TL;DR: The last supported Python version for Pytype will be 3.12. We are still very actively interested in the space of Python type checking, but shifting our investments towards new ideas and different frameworks.”

/r/Python
https://redd.it/1mvxmi5

Vibe Coding Experiment Failures (with Python code)

A set of apps that ChatGPT 5, Gemini 2.5 Pro, and Claude Sonnet 4 were asked to write Python code for, and how they fail.

While LLMs can create common programs like stopwatch apps, Tetris, or to-do lists, they fail at slightly unusual apps even if they are also small in scope. The app failures included:

African Countries Geography Quiz
Pinball Game
Circular Maze Generator
Interactive Chinese Abacus
Combination Lock Simulator
Family Tree Diagram Editor
Lava Lamp Simulator
Snow Globe Simulator

Screenshots and source code are listed in the blog post:

https://inventwithpython.com/blog/vibe-coding-failures.html

I'm open to hearing about other failures people have had, or if anyone is able to create working versions of the apps I listed.

/r/Python
https://redd.it/1mvmiia

Python freelancing For College

I’m not sure where to put this so I’m guessing the career advice channel. I am currently in pursuit of my bachelors in software engineering with 2 years of Java and Python programming experience. I’m looking for real world experience through freelancing and having a hard time finding clients and winning jobs on upwork,‘I’m not sure if I’m unable to market myself or hat, so I’m looking for advice on how to progress. Please feel free to to @ me or DM me.

/r/Python
https://redd.it/1mw65r2

DSA IN PYTHON OR NOT??

SO I just started doing python 1.5 months ago and now I have good conceptual understanding of python in the sense that i feel a little bit confidence in writing the codes. Everyone around me is saying to start with DSA at this point but there is no online course(free and not paid) for DSA in python and every resource in DSA is either in C++ or java. What should I now. Can anyone pls guide me how I should proceed further from this point

/r/Python
https://redd.it/1mw7vux

Monkesearch: open source, offline natural language query for local files, with temporal awareness

Today I am very excited to release a very bare bones and working prototype for this!
https://github.com/monkesearch/monkeSearch

I'd love to get reviews and suggestions for this, and I've used macOS's inbuilt spotlight indexing for the query. There are a lot of modifications and feature additions to be done now but I want you guys to try it out locally. Current file search is only limited to a few file types because I am associating the macOS specific uniform type identifiers with file types, and that has been done manually just for the prototype right now. Also this is just the prototype / proof of concept and we need more refinement!

What My Project Does:

You can search for your local files using natural english language.

No data leaves your pc and it is aimed at being able to run on potato pcs. And I'm currently aiming at a smaller and smarter model (Gemma 3 270M finetune) to increase the accuracy of the tool (even though it's pretty accurate right away with base Qwen3)

Target Audience:

Whoever wants an easy way to search for file fastly and use natural language/ semantics, this can be the best and most secure tool you can run locally.



/r/Python
https://redd.it/1mw776v

simple-html 3.0.0 - improved ergonomics and 2x speedup

## What My Project Does
Renders HTML in pure Python (no templates)

## Target Audience
Production

## Comparison
There are similar template-less renderers like dominate, fast-html, PyHTML, htmy. In comparison to those simple-html tends to be:

- more concise
- faster — it's even faster than Jinja (AFAICT it’s currently the fastest library for rendering HTML in Python)
- more fully-typed

## Changes
- About 2x faster (thanks largely to mypyc compilation)
- An attributes dictionary is now optional for tags, reducing clutter.

from simplehtml import h1

h1("hello") # before: h1({}, "hello")

- `int`s, `float`s, and `Decimal` are now accepted as leaf nodes, so you can do


from simplehtml import p

p(123) # before: p(str(123))


## Try it out
Copy the following code to example.py:

from flask import Flask
from simplehtml import render, h1

app = Flask(name)

@app.route("/")
def helloworld():
return render(h1("Hello

/r/Python
https://redd.it/1mwc0to

End-user data uploads: separate staging model or staging indicator in a single model?

Wondering what everyone thinks about this: I need a staging area for the data users want to upload. I'm thinking to use a staging model that replicates the prod schema (plus it would have one extra column, the key to identify the owner of staging records). In this case, I'll need to execute SQL to move records from staging to production when ready.

Alternative option is to avoid adding additional model and instead adding a staging indicator column in the single model. But then I worry about indexing and performance.

Thoughts?

/r/django
https://redd.it/1mwdwmp

What is this ??

/r/IPython
https://redd.it/1mwf3ml

Vercel + Railway vs DigitalOcean Droplet for Small E-commerce - Low Maintenance & Cheap?

I’m setting up a small e-commerce site (~20 products) with:

Two Next.js apps (main site + admin panel)

Django backend

Postgres database

Media files (images)


The client doesn’t want a maintenance package, so I’m looking for a solution that is:

- Cheap

- Minimal or zero manual maintenance

- Reliable for low traffic

- Supports persistent storage for images and possibly background tasks (Celery)


I’m debating between:

1. Vercel (Next.js frontends) + Railway (Django + Postgres + volumes)


2. Single DigitalOcean droplet hosting everything



Questions:

Which setup is more “deploy-and-forget” friendly for a small e-commerce site?

Are there hidden maintenance or cost issues I should be aware of?

Anyone running a similar stack - what would you recommend for cheap, low-maintenance hosting?


Thanks in advance!

/r/django
https://redd.it/1mw991o

PrimaryKeyRelatedField - N+1

Someone help, Please
How Can i avoid n+1 in PrimaryKeyRelatedField? Anytime I add student it creates separate query with WHERE clause. Example:
SELECT "content_studentprofile"."id",
"content_studentprofile"."uuid",
"content_studentprofile"."created_at",
"content_studentprofile"."updated_at",
"content_studentprofile"."user_id",
"content_studentprofile"."name"
FROM "content_studentprofile"
WHERE "content_studentprofile"."id" = 11
LIMIT 21


Was not really able to find answer, approach on such cases, So i would be very grateful if someone can help.

/r/django
https://redd.it/1mw4lj2

I built an AI Agent to Auto-Apply Django Jobs


I got tired of the tedious and repetitive job application process.
So I built an AI agent that does the soul-crushing part for me (and you).

---

An end-to-end job-hunting pipeline:

- **Web scraper (70k+ company sites):** Fresh roles, straight from the source.
- **ML matcher (CV → roles):** ranks openings by *fit with your real experience/skills, not keyword bingo.
- **Application agent:** opens a real browser, finds the application page, detects the form, classifies fields (name, email, work history, portfolio, questions…), and fills everything using your CV. Then submits. Repeat.

---
It’s 100% free: [**laboro.co**](https://laboro.co/?utm_source=reddit&utm_medium=organic&utm_contents=87)

/r/django
https://redd.it/1mwpfla

Friday Daily Thread: r/Python Meta and Free-Talk Fridays

# Weekly Thread: Meta Discussions and Free Talk Friday 🎙️

Welcome to Free Talk Friday on /r/Python! This is the place to discuss the r/Python community (meta discussions), Python news, projects, or anything else Python-related!

## How it Works:

1. Open Mic: Share your thoughts, questions, or anything you'd like related to Python or the community.
2. Community Pulse: Discuss what you feel is working well or what could be improved in the /r/python community.
3. News & Updates: Keep up-to-date with the latest in Python and share any news you find interesting.

## Guidelines:

All topics should be related to Python or the /r/python community.
Be respectful and follow Reddit's Code of Conduct.

## Example Topics:

1. New Python Release: What do you think about the new features in Python 3.11?
2. Community Events: Any Python meetups or webinars coming up?
3. Learning Resources: Found a great Python tutorial? Share it here!
4. Job Market: How has Python impacted your career?
5. Hot Takes: Got a controversial Python opinion? Let's hear it!
6. Community Ideas: Something you'd like to see us do? tell us.

Let's keep the conversation going. Happy discussing! 🌟

/r/Python
https://redd.it/1mwrf8z

Doing well with Django advanced topics, but frontend/UI is killing me

Hey everyone,

I’ve been diving deep into Django recently and I’m pretty comfortable with advanced backend topics (middleware, signals, encryption, role-based permissions, logic, etc.). But every time I try to build real-world projects, I hit wall with the frontend/UI side.

I can structure my models, APIs, and business logic pretty cleanly, but when it comes to designing user interfaces (modern, clean, responsive dashboards/forms), I get stuck. Tailwind, Alpine, GSAP, etc. are powerful, but I feel like I’m forcing things together instead of building a polished flow.

How do you guys deal with this:

I’m trying to avoid spending months just on frontend design, but I also don’t want my apps looking half-baked.



/r/django
https://redd.it/1mwq5me

Re-vision, getting more out of YOLO (or any box detection)

Hi everyone,

I wrote this hacky tool after getting annoyed by YOLO missing stuff in my documents.

What my project does:

It detects bboxes with content in documents, using YOLO, it uses multiple YOLO runs.

To solve the problem I faced, you keep the threshold high so anything detected is what the model thinks it is, in every YOLO iteration, it masks out the bboxes found from the image and uses the masked image as input in the next iteration, effectively making the input image simpler for YOLO each iteration while ensuring the boxes are reliable. I've found 2 iterations enough for my use case. This technique will work for all bbox detection models albeit at the cost of more computation, which in YOLO's case wasn't a deal-breaker.

This may not be an original idea, wanted to share it anyway.

Here's the implementation: https://github.com/n1teshy/re-vision

Any ideas/critique would be appreciated.

/r/Python
https://redd.it/1mwp2kw

I built a car price prediction app with Python + C#

Hey,
I made a pet project called AutoPredict – it scrapes real listings from an Italian car marketplace (270k+ cars), cleans the data with Pandas, trains a CatBoost model, and then predicts the market value of any car based on its specs.

The Python backend handles data + ML, while the C# WinForms frontend provides a simple UI. They talk via STDIN/STDOUT.
Would love to hear feedback on the approach and what could be improved!

Repo: https://github.com/Uladislau-Kulikou/AutoPredict

(The auto-moderator is a pain in the ass, so I have to say - target audience: anyone)(https://github.com/Uladislau-Kulikou/AutoPredict)

/r/Python
https://redd.it/1mx2aqc

As much as I love Django, I feel it has fallen way behind compared to Laravel and others

Django has been my favorite framework for years. It’s powerful, reliable, and I honestly feel super productive when I use it. But lately, whenever I look at other ecosystems, I can’t help but feel Django has fallen far behind.

Take Laravel for example: not only does it have a huge community, but the ecosystem is fully supported by the Laravel team itself. You get Forge, Vapor, the new Laravel Cloud, Nova, Laravel Watch, and of course Inertia.js. The experience is so cohesive and integrated. With Django, sure, we have things like HTMX, but let’s be honest — it’s not the same. Inertia + Vue/React brings advantages that Django just doesn’t match out of the box.

And it’s not only Laravel. Look at the Node.js ecosystem:

NestJS gives you a solid API framework with batteries included.
AdonisJS feels like “Laravel for Node,” with everything already integrated so you don’t need to piece together third-party packages.

Meanwhile, Django REST Framework (which I use and like) is still just a library on top of Django rather than something officially baked into the framework.

Don’t get me wrong — Django is still my go-to and I consider it my favorite framework. But whenever I switch over to Laravel,

/r/django
https://redd.it/1mwz8ln

Examples of using UV

I work at a hardware engineering company. I am going to give a talk demoing UV. I am also going to talk about why you should format your project as a package. Any good repos of showcasing the pip workflow vs uv. Any good tutorials or talks i can borrow from.

/r/Python
https://redd.it/1mx53x9

Automatically document SQLAlchemy Databases with Diagrams created with Paracelsus

## What My Project Does

The Paracelsus library automatically generates Entity Relationship Diagrams for SQLAlchemy databases, making it easy to keep documentation up to date with the latest changes in your database.

Diagrams can be created in Mermaid, allowing for easy embedding into Markdown files, or as Dot Diagrams to convert into PNG files.

target audience: anyone

/r/Python
https://redd.it/1mx5xfp

Open source projects using htmx

Do you guys know of any open-source actual projects—not just tutorials—that were created with htmx and Django/Flask?

I want to learn more about the hypermedia approach and see how to use it in real projects.

Suggestions with Unploy or Turbo are welcome, also.



/r/django
https://redd.it/1mx8f10