dj-celery-panel
Your Celery task inspector inside the Django admin.
https://github.com/yassi/dj-celery-panel
Your Celery task inspector inside the Django admin.
https://github.com/yassi/dj-celery-panel
GitHub
GitHub - yassi/dj-celery-panel: Your Celery task inspector inside the Django admin
Your Celery task inspector inside the Django admin - yassi/dj-celery-panel
🔥1
AutoMem
AutoMem is a graph-vector memory service that gives AI assistants durable, relational memory.
https://github.com/verygoodplugins/automem
AutoMem is a graph-vector memory service that gives AI assistants durable, relational memory.
https://github.com/verygoodplugins/automem
GitHub
GitHub - verygoodplugins/automem: AutoMem is a graph-vector memory service that gives AI assistants durable, relational memory:
AutoMem is a graph-vector memory service that gives AI assistants durable, relational memory: - verygoodplugins/automem
Django Time-Based Lookups: A Performance Trap
The article shows how certain Django time-based field lookups can bypass database indexes and turn a simple filter into a full table scan, dramatically slowing queries. It then demonstrates a much faster pattern by computing time boundaries in Python so the database can use the existing index and drop execution time from tens of seconds to under a second.
https://johnnymetz.com/posts/django-time-based-lookups-performance/
The article shows how certain Django time-based field lookups can bypass database indexes and turn a simple filter into a full table scan, dramatically slowing queries. It then demonstrates a much faster pattern by computing time boundaries in Python so the database can use the existing index and drop execution time from tens of seconds to under a second.
https://johnnymetz.com/posts/django-time-based-lookups-performance/
Johnny Metz
Django Time-Based Lookups: A Performance Trap
Django’s field lookups are one of the ORM’s best features, but time-based lookups can quietly bypass database indexes, turning fast queries into expensive full table scans.
A Slow Production Query
I ran into this while debugging a 30 second query on a large…
A Slow Production Query
I ran into this while debugging a 30 second query on a large…
MimicKit
A lightweight suite of motion imitation methods for training controllers.
https://github.com/xbpeng/MimicKit
A lightweight suite of motion imitation methods for training controllers.
https://github.com/xbpeng/MimicKit
GitHub
GitHub - xbpeng/MimicKit: A lightweight suite of motion imitation methods for training controllers.
A lightweight suite of motion imitation methods for training controllers. - xbpeng/MimicKit
Speeding up Pillow's open and save
The author benchmarks and improves Pillow’s image open/save performance by avoiding unnecessary plugin imports and using lazy loading, leading to large speed gains in Python. Results show opening PNG images can be around 2.6 times faster and WebP up to 14 times faster, with similar improvements in saving images, and the changes are included in upcoming Pillow releases.
https://hugovk.dev/blog/2026/faster-pillow/
The author benchmarks and improves Pillow’s image open/save performance by avoiding unnecessary plugin imports and using lazy loading, leading to large speed gains in Python. Results show opening PNG images can be around 2.6 times faster and WebP up to 14 times faster, with similar improvements in saving images, and the changes are included in upcoming Pillow releases.
https://hugovk.dev/blog/2026/faster-pillow/
Hugo van Kemenade
Speeding up Pillow's open and save
Vision-Agents
Open Vision Agents by Stream. Build Vision Agents quickly with any model or video provider. Uses Stream's edge network for ultra-low latency.
https://github.com/GetStream/Vision-Agents
Open Vision Agents by Stream. Build Vision Agents quickly with any model or video provider. Uses Stream's edge network for ultra-low latency.
https://github.com/GetStream/Vision-Agents
GitHub
GitHub - GetStream/Vision-Agents: Open Vision Agents by Stream. Build Vision Agents quickly with any model or video provider. Uses…
Open Vision Agents by Stream. Build Vision Agents quickly with any model or video provider. Uses Stream's edge network for ultra-low latency. - GetStream/Vision-Agents
Oban, the job processing framework from Elixir, has come to Python
https://www.dimamik.com/posts/oban_py/
https://www.dimamik.com/posts/oban_py/
Hi, I'm Dima
Oban.py - deep dive
Oban, the job processing framework from Elixir, has finally come to Python. I spent some time exploring it, and here is how it works.
Let's Build Pipeline Parallelism from Scratch
The tutorial walks through building pipeline parallelism from the ground up, explaining how to split large AI models and training workloads across multiple GPUs to improve training efficiency. It breaks down concepts with step-by-step examples so developers can understand how data and compute are partitioned and coordinated in a distributed training system.
https://www.youtube.com/watch?v=D5F8kp_azzw
The tutorial walks through building pipeline parallelism from the ground up, explaining how to split large AI models and training workloads across multiple GPUs to improve training efficiency. It breaks down concepts with step-by-step examples so developers can understand how data and compute are partitioned and coordinated in a distributed training system.
https://www.youtube.com/watch?v=D5F8kp_azzw
YouTube
Let's Build Pipeline Parallelism from Scratch – Tutorial
Pipeline parallelism speeds up training of AI models by splitting a massive model across multiple GPUs and processing data like an assembly line, ensuring no single device has to hold the entire model in memory.
This course teaches pipeline parallelism from…
This course teaches pipeline parallelism from…
I created a game engine for Django?
The author built a multiplayer Snake game in the browser using only Python and Django LiveView, with no custom JavaScript, by keeping game state on the server and broadcasting rendered HTML over WebSockets.
https://en.andros.dev/blog/6e9e4485/i-created-a-game-engine-for-django/
The author built a multiplayer Snake game in the browser using only Python and Django LiveView, with no custom JavaScript, by keeping game state on the server and broadcasting rendered HTML over WebSockets.
https://en.andros.dev/blog/6e9e4485/i-created-a-game-engine-for-django/
en.andros.dev
I created a game engine for Django? | Andros Fenollosa
TL;DR: Complete multiplayer game in the browser made of 270 lines of Python and 0 lines of JavaScript running on Django thanks to Django LiveView.
Aft
Aft
PicoFlow – a tiny DSL-style Python library for LLM agent workflows
https://news.ycombinator.com/item?id=46706535
https://news.ycombinator.com/item?id=46706535