DR Paper Completely Ripped Off

I made a post a week ago, requesting advice regarding my paper, which was allegedly plagiarized by a few other institutions. The fact that I even have to say allegedly so I don't get sued is very sad. Most people just said to email the authors, which is completely reasonable, so I did and took the post down.

Anyway, I posted this paper called Mixture of Thoughts to arXiv a little over two months ago and submitted it to ICLR. A few days ago, this paper called Latent Collaboration in Multi-Agent Systems came out as a preprint on arXiv. Basically, both of ours are latent collaboration frameworks in the same realm as an MoE/MoA architecture. I did extensive research before publishing my paper, as it was the first to use this latent collaboration idea (even mentioning this term 30+ times in the paper). I read their "LatentMAS" paper, which also claimed that they were the first "latent collaboration" framework. Originally, I reached out to them in good faith that they perhaps missed my paper, and politely referred them to my previous paper. I got some strange response back inferring that they would not cite my paper. Their paper wasn't even submitted

/r/MachineLearning
https://redd.it/1pehf5w

We open-sourced kubesdk - a fully typed, async-first Python client for Kubernetes.

Hey everyone,

[Puzl Cloud](https://puzl.cloud/) team here. Over the last months we’ve been packing our internal Python utils for Kubernetes into kubesdk, a modern k8s client and model generator. We open-sourced it a few days ago, and we’d love feedback from the community.

We needed something ergonomic for day-to-day production Kubernetes automation and multi-cluster workflows, so we built an SDK that provides:

* Async-first client with minimal external dependencies
* Fully typed client methods and models for all built-in Kubernetes resources
* Model generator (provide your k8s API - get Python dataclasses instantly)
* Unified client surface for core resources and custom resources
* High throughput for large-scale workloads with multi-cluster support built into the client

**Repo link:**

[https://github.com/puzl-cloud/kubesdk](https://github.com/puzl-cloud/kubesdk)



/r/Python
https://redd.it/1pet9mi

Feedback on Django based task manager tool with very slow database handling

This is my first post in the Django subreddit, so please bear with me, if it's out of scope or not fulfilling enough.

Over the past years, I have been working on and off on my first Django based project, which is a task manager web-platform being customized to my personal needs. The code is developed based on various tutorials and with help from vibe coding.

I have spent quite some effort to make the web-platform faster, but it still performs relatively slow even for a small database (server response time of 4-6 seconds for less than 500 database entries). I have tried to optimize the code by doing the following:

* Reducing query calls by profiling with queryhnter
* Use select\_related() and prefetch\_related()
* Use Q objects for complex queries
* Detect n+1 queries and solve them

Further I have tried to pin down the reason for the slow performance and have concluded the following:

* Performance issues not related to:
* Html template, as the response is the same with the template out-commented
* SQL query request, as this is insignificant
* Problem (could be) related to:
* View class: Processing of the DB objects (after queries)

None of the above efforts

/r/django
https://redd.it/1pdwth8

Saturday Daily Thread: Resource Request and Sharing! Daily Thread

# Weekly Thread: Resource Request and Sharing 📚

Stumbled upon a useful Python resource? Or are you looking for a guide on a specific topic? Welcome to the Resource Request and Sharing thread!

## How it Works:

1. Request: Can't find a resource on a particular topic? Ask here!
2. Share: Found something useful? Share it with the community.
3. Review: Give or get opinions on Python resources you've used.

## Guidelines:

Please include the type of resource (e.g., book, video, article) and the topic.
Always be respectful when reviewing someone else's shared resource.

## Example Shares:

1. Book: "Fluent Python" \- Great for understanding Pythonic idioms.
2. Video: Python Data Structures \- Excellent overview of Python's built-in data structures.
3. Article: Understanding Python Decorators \- A deep dive into decorators.

## Example Requests:

1. Looking for: Video tutorials on web scraping with Python.
2. Need: Book recommendations for Python machine learning.

Share the knowledge, enrich the community. Happy learning! 🌟

/r/Python
https://redd.it/1pfau1c

I Love Django

Now that I've been coding for quite a bit I've fallen rather in love with Django's simplicity and how segmented purposes are between templates.html v.s. urls.py v.s. views.py v.s. forms.py v.s. models.py ||| I really like how segregated the logic is, for other frameworks I imagine this is less so the case?

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

How many people are building graphQL API using Django?

How many people are building graphQL API using Django?

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

Built an open-source mock payment gateway in Python (no more Stripe test limits)

What My Project Does

AcquireMock is a self-hosted payment processor for testing and development. It simulates a real payment gateway with:

Payment page generation with card forms (accepts test card 4444 4444 4444 4444)
OTP email verification flow
Webhook delivery with HMAC signatures and retry logic
Saved payment methods for returning customers
Production-ready features: CSRF protection, rate limiting, request validation

Tech stack: FastAPI + PostgreSQL + SQLAlchemy + Pydantic. Frontend is vanilla JS to keep it lightweight.

Target Audience

This is meant for:

Developers building payment integrations who hit Stripe test mode limits
Teaching/learning how payment flows work (OTP, webhooks, 3DS simulation)
Offline development environments where external APIs aren't accessible
Projects that need a mock payment system without external dependencies

Not intended for production use - it's a testing/development tool.

Comparison

Unlike Stripe's official test mode:

Runs completely offline (no API keys, no internet required)
No rate limits or request caps
Full control over webhook timing and retry logic
Can be customized for specific testing scenarios
Works without any external service configuration

Compared to other mock payment tools, this one includes a full UI (not just API endpoints), supports multi-language, has email OTP flow, and comes with Docker Compose for instant setup.

GitHub: https://github.com/illusiOxd/acquiremock

Open to feedback, especially on the

/r/Python
https://redd.it/1pfl8ln

Does having a back in an engineering degree really cause problems for my future career?

Hey everyone,
Current engineering student here, looking for some real-world perspective.
How much does having a "back" (a failed subject needing a re-take) truly impact job prospects or grad school admissions? I'm hearing mixed messages that it's a huge red flag.
Seeking insight:
-For first jobs: Does a back matter less than the final CGPA/GPA?
-Offsetting: What's the best way to compensate (internships, projects, etc.)?
-Your experience: Did you have a back and still land a great job?
Any honest advice is welcome. Thanks!

/r/django
https://redd.it/1pfgo7f

Seeker

Guys, I will need to create a search engine for an application at my work.
Does anyone know if Django has a lib that would make this easier?
This search engine is used to search for information registered and not registered in my database.
Similar to the Google search engine.

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