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File formats for generic data structures, such as ROOT, Avro, and Parquet,pose a problem for deserialization: it must be fast, but its code depends onthe type of the data structure, not known at compile-time. Just-in-timecompilation can satisfy both constraints, but we propose a more portablesolution: specialized virtual machines. AwkwardForth is a Forth-driven virtualmachine for deserializing data into Awkward Arrays. As a language, it is notintended for humans to write, but it loosens the coupling between Uproot andAwkward Array. AwkwardForth programs for deserializing record-oriented formats(ROOT and Avro) are about as fast as C++ ROOT and 10-80$\times$ faster thanfastavro. Columnar formats (simple TTrees, RNTuple, and Parquet) only requirespecialization to interpret metadata and are therefore faster with precompiledcode.

AwkwardForth: accelerating Uproot with an internal DSL