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Dynamic languages like Erlang, Clojure, JavaScript, and E adopted data-racefreedom by design. To enforce data-race freedom, these languages either deepcopy objects during actor (thread) communication or proxy back to their owningthread. We present Dala, a simple programming model that ensures data-racefreedom while supporting efficient inter-thread communication. Dala is adynamic, concurrent, capability-based language that relies on three corecapabilities: immutable values can be shared freely; isolated mutable objectscan be transferred between threads but not aliased; local objects can bealiased within their owning thread but not dereferenced by other threads.Objects with capabilities can co-exist with unsafe objects, that are uncheckedand may suffer data races, without compromising the safety of safe objects. Wepresent a formal model of Dala, prove data race-freedom and state and prove adynamic gradual guarantee. These theorems guarantee data race-freedom whenusing safe capabilities and show that the addition of capabilities is semanticspreserving modulo permission and cast errors.

Dala: A Simple Capability-Based Dynamic Language Design For Data Race-Freedom