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DeepCausality is a hyper-geometric computational causality library that enables fast and deterministic context-aware causal reasoning over complex causality models.

Why DeepCausality?

  • DeepCausality is written in Rust with production-grade safety, reliability, and performance in mind.
  • DeepCausality provides recursive causal data structures that concisely express arbitrary complex causal structures.
  • DeepCausality enables context awareness across data-like, time-like, space-like, spacetime-like entities stored within (multiple) context-hyper-graphs.
  • DeepCausality simplifies modeling of complex tempo-spatial patterns.
  • DeepCausality comes with Causal State Machine (CSM)