IterableV

IterableV is a conceptual library and data abstraction for managing iterables with versioned views and lazy transformations. It provides a uniform interface to produce, transform, and inspect sequences of values while preserving immutability and enabling deterministic snapshots.

Core concepts include the IterableV core, which yields elements lazily; Views, which are read-only, versioned views of the underlying sequence; and Transformations, which compose operations such as map, filter, and window. A snapshot captures a consistent state of the sequence at a given version, allowing repeatable iteration even as the source evolves.

Design goals emphasize composability, memory efficiency, and predictable behavior in both batch and streaming contexts. IterableV implementations can wrap standard in-memory iterables or consume streaming sources, providing lazy evaluation and minimal allocations. Operations are designed to be pure and side-effect-free when possible.

Common operations include map, filter, take, drop, flatMap, windowed views, and groupings, along with terminal reductions and collectors. The API aims to be familiar to users of existing functional programming libraries while adding versioned view semantics and snapshotting. It also supports error handling strategies and optional backtracking in certain modes.

Typical use cases include data processing pipelines that require repeatable tests, simulations with traceable iteration, and dashboards that rely on stable views of evolving data. The project promotes interoperability with standard iterable protocols and adapters for various runtimes.

Historically, IterableV emerged from discussions in the functional programming community about extending iterables with persistent views. An initial specification and reference implementation were released as an open source project, with subsequent development focused on clarifying the API, improving performance, and expanding ecosystem adapters. As of the present, IterableV remains an experimental concept with ongoing work and community-driven guidance.