NumS is a Numerical cloud computing library that translates Python and NumPy to distributed systems code at runtime. NumS scales NumPy operations horizontally, and provides inter-operation (task) parallelism for those operations. NumS remains faithful to the NumPy API, and provides tight integration with the Python programming language by supporting loop parallelism and branching. NumS’ system-level operations are written against the Ray API; it supports S3 and basic distributed filesystem operations for storage and uses NumPy as a backend for CPU-based array operations.

Please visit the open source project on github for more details.