STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...

The fastest Python implementation of the ForceAtlas2 graph layout algorithm, with Cython optimization for 10-100x speedup. Supports NetworkX, igraph, and raw adjacency matrices. ForceAtlas2 is a force ...

Overview:  Compares the leading Python frameworks for building autonomous AI agents in 2026.Explains where LangGraph, CrewAI, Microsoft Agent Framework, Go ...

In this tutorial, we build a fully offline Graphify workflow that turns a realistic multi-module Python application into a knowledge graph. We start by installing Graphify and supporting graph ...

These are my go-to libraries for Python data crunching.

"Checking stock prices manually every day is a hassle," or "I want to see my portfolio performance at a glance." For those people, I will explain how to automatically acquire stock price data and ...

NVIDIA released Nemotron 3 Embed on July 15 and 16, 2026. The collection has three open checkpoints: Nemotron-3-Embed-8B-BF16, Nemotron-3-Embed-1B-BF16, and Nemotron-3-Embed-1B-NVFP4. The 8B ranks #1 ...

Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.

Agent observability, aka AgentOps, has emerged as a vital ecosystem of tools for keeping an eye on what AI agents and LLMs ...

Abstract: Graph clustering, which aims to divide nodes in the graph into several distinct clusters, is a fundamental yet challenging task. Benefiting from the powerful representation capability of ...