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| Fecha | Crecimiento de Suscriptores | Menciones | Canales | |
| 03 junio | +2 | |||
| 02 junio | +3 | |||
| 01 junio | +2 |
Publicaciones del Canal
Shrink Your Python Container in One Command with SlimToolkit
Use SlimToolkit to shrink a Python container by half in one command. No Dockerfile changes. Walkthrough on a chatbot with common edge cases and fixes.
https://codecut.ai/shrink-python-container-slimtoolkit/
| 2 | ESPectre
Motion detection system based on Wi-Fi spectre analysis (CSI), with native Home Assistant integration via ESPHome.
https://github.com/francescopace/espectre | 54 |
| 3 | Katharos
A library providing useful types and functions for functional programming in Python.
https://github.com/kamalfarahani/katharos | 72 |
| 4 | google / skills
Agent Skills for Google products and technologies
https://github.com/google/skills | 81 |
| 5 | Python Hub Weekly Digest for 2026-05-31
https://pythonhub.dev/digest/2026-05-31/ | 114 |
| 6 | Agent Evaluation: A Detailed Guide
Best practices and common patterns for effectively evaluating AI agents.
https://cameronrwolfe.substack.com/p/agent-evals | 154 |
| 7 | claude-for-legal
A suite of plugins for legal workflows.
https://github.com/anthropics/claude-for-legal | 133 |
| 8 | Articraft
An Agentic System for Scalable Articulated 3D Asset Generation.
https://github.com/mattzh72/articraft | 127 |
| 9 | Bridging Python's Logging Module to OpenTelemetry (Complete Guide)
This guide walks through using the OpenTelemetry Python SDK's LoggingHandler to bridge Python's built-in logging module with an OpenTelemetry-compliant pipeline without changing your existing log statements. It demonstrates how to configure the handler (via dictConfig), map standard log records into structured OTel fields, and automatically correlate logs with active traces to route them...
https://www.dash0.com/guides/opentelemetry-logging-python | 116 |
| 10 | Remove-AI-Watermarks
Remove visible and invisible AI watermarks from images generated by Google Gemini (Nano Banana), ChatGPT / DALL-E, Stable Diffusion, Adobe Firefly, Midjourney, and other AI models.
https://github.com/wiltodelta/remove-ai-watermarks | 109 |
| 11 | Decepticon
Autonomous Hacking Agent for Red Team.
https://github.com/PurpleAILAB/Decepticon | 100 |
| 12 | Headroom
Headroom compresses everything your AI agent reads - tool outputs, logs, RAG chunks, files, and conversation history - before it reaches the LLM. Same answers, fraction of the tokens.
https://github.com/chopratejas/headroom | 106 |
| 13 | Let’s Fix Bloated Python Classes Once and For All
The video demonstrates how a single Python class can gradually become overloaded with unrelated responsibilities like validation, data processing, and model training, making the code harder to maintain and reason about. It then walks through refactoring the code into smaller, focused components while introducing a practical framework for deciding what logic should and should not belong i...
https://www.youtube.com/watch?v=F5Av5yDGSQs | 109 |
| 14 | LLM Evaluation and AI Observability for Agent Monitoring
A guide on LLM evaluation and AI observability, explaining how to monitor, test, and deploy reliable AI agents in production with confidence and control.
https://blog.jetbrains.com/pycharm/2026/05/llm-evaluation-and-ai-observability-for-agent-monitoring/ | 114 |
| 15 | HKUDS / ViMax
"ViMax: Agentic Video Generation (Director, Screenwriter, Producer, and Video Generator All-in-One)"
https://github.com/HKUDS/ViMax | 110 |
| 16 | Feloxi
Self-hosted monitoring for Python task queues. Live dashboards, searchable task history, and alerting that fires.
https://github.com/thesaadmirza/feloxi | 119 |
| 17 | Is UV still worth learning/switching to now that it's owned by OpenAI?
https://www.reddit.com/r/Python/comments/1tjonyf/is_uv_still_worth_learningswitching_to_now_that/ | 123 |
| 18 | Agent Hooks: Deterministic Control for Agent Workflows
The post is about agent hooks as a control layer that makes AI behavior more deterministic by enforcing rules at specific lifecycle points, instead of relying on prompts alone. It emphasizes using hooks for policy enforcement, validation, and observability so teams can block bad actions, add guardrails, and make agent workflows more production-safe.
https://nader.substack.com/p/agent-hooks-deterministic-control | 105 |
| 19 | Watching for file changes on macOS
This post details how to build a lightweight tool for monitoring file system activity on macOS without relying on third-party dependencies. It explains how to implement a Swift script that interfaces directly with Apple's native FSEvents API and forwards those live change notifications to a Python environment via stdout.
https://alexwlchan.net/2026/watch-files-on-macos/ | 110 |
| 20 | Python 3.15: features that didn't make the headlines
https://blog.changs.co.uk/python-315-features-that-didnt-make-the-headlines.html | 112 |
