hashkat/hashkat

Hashkat is a legacy project (over 12 years old) that attempted to bring Kinetic Monte Carlo (KMC) methods—typically used in physics and chemistry—to social network analysis. While technically sound in its mathematical approach, the project has effectively stalled with only 28 stars and zero recent velocity. In the current landscape, it is largely obsolete. Modern researchers favor high-level graph libraries like NetworkX or igraph for small-to-medium simulations, or distributed systems like Apache Spark (GraphX) for large-scale work. Furthermore, the frontier of 'information propagation' modeling has shifted from rule-based agent systems to LLM-powered agentic simulations (e.g., Generative Agents). The project lacks a modern API, a thriving ecosystem, or a distinct advantage over contemporary graph processing frameworks. Its defensibility is near zero as the code is open-source but the 'moat' of specialized KMC knowledge is better served by active academic libraries.