Multi-language: Python and Typescript support. Lightweight: Zero bloat, zero dependencies, zero vendor lock-in.

The Atomic Agents framework is designed around the concept of atomicity to be an extremely lightweight and modular framework for building Agentic AI pipelines and applications without sacrificing deve...

The question comes relentlessly: “Why build reinforcement learning in C#?” Behind this query lies an unspoken assumption that serious machine learning happens exclusively in Python. This perspective r...

In 2024, we hacked Googles A.I Gemini and leaked its source code, earning the Most Valuable Hacker title at the bugSWAT event in Las Vegas. The world of Generative Artificial Intelligence and Large La...

Framework to build LLM Copilots with features like message history as a pandas DataFrame, simple JSON Schema definition helpers, streaming as default, scalable tool and structured outputs functionalit...

AG2 (formerly AutoGen) is an open-source programming framework for building AI agents and facilitating cooperation among multiple agents to solve tasks. AG2 aims to streamline the development and rese...

# Atomic Agents The Atomic Agents framework is designed around the concept of atomicity to be an extremely lightweight and modular framework for building Agentic AI pipelines and applications without...

PydanticAI is a Python agent framework designed to make it less painful to build production-ready language models (LLMs) with Pydantic. This framework provides tools, models, and common functionalitie...

A Python tool that transforms Apple Health export data into insightful visualizations and analytics, with AI-powered analysis. Easily track your fitness journey with detailed analysis of steps, workou...

FastMCP is a fast, Pythonic way to build MCP servers that makes building MCP servers simple and intuitive. Create tools, expose resources, and define prompts with clean, Pythonic code. FastMCP aims to...

Plotly is my favorite data visualization library.

At Beta Acid, we believe in building software like a startup—fast, efficient, and adaptable. Today, were excited to open-source a reference API app that showcases our clean, modular FastAPI architectu...

Hamilton is a data orchestration tool that offers features like function modifiers, dynamic DAGs, and visualization. The User Guide includes information on getting started, using Jupyter notebooks, an...

Function composition and currying are features of functional programming languages that can be very convenient in some situations. Composition is when you apply multiple functions one after the other ...

LLM is a CLI utility and Python library designed for interacting with Large Language Models. It allows users to work with remote APIs, as well as models that can be installed and run locally. Users ca...

Large World Model (LWM) is a general-purpose large-context multimodal autoregressive model. It is trained on a large dataset of diverse long videos and books using RingAttention, and can perform langu...

Coming from a C# background — I found monitoring my python FastAPI application with Azure Application Insights stupidly difficult. Mainly due to a lack of direct support in Azure or documentation for ...

After years of anticipation and watching other programming languages flaunt their “switch-case” statements, we Python developers finally got a long-awaited feature from version 3.10: structural patter...

In this article, Hennie de Harder discusses the implementation of Ant Colony Optimization (ACO) from scratch to solve the Traveling Salesman Problem (TSP) and the Quadratic Assignment Problem (QAP). T...

Hey, I am running into issues with python azure function under VSCode. FYI the same example I have run without issues on an Intel mac.