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  • Unordered polymorphic collections
    Unordered polymorphic collections have been added to Boost.PolyCollection, employing boost::container::hub‑based segments to achieve iterator and reference stability. In contrast to the existing ordered variants, these collections use a different internal structure that yields insertion speeds comparable to or faster than their ordered counterparts, while iteration performance is slower due to the lack of vector‑based traversal. The new unordered collections (base, function, any, and variant) are scheduled for inclusion in Boost 1.93. Internally, all eight collection types are instantiated from a common poly_collection template parameterized by a model that specifies the polymorphism technique, ordering, and openness, creating a flexible three‑dimensional design. An article titled “Inside Boost.PolyCollection” documents this architecture in detail.
    Link
  • Hub is here
    During Q2 2026 Boost work is summarized: boost::container::hub accepted for Boost 1.92; Boost.Unordered added C++20 range support; Boost.MultiIndex got iterator pointers; Boost.ICL fixed for libc++ v22; Boost.Bloom, Boost.Graph and activities noted.
    Link #Unordered
  • Speed and Safety
    CUDA support is added to Boost int128 for host and device use. Device from_chars/to_chars are provided by Boost.Charconv, and Boost.Decimal will gain CUDA later. Verification is used by Boost.Safe_Numbers for safety and error check with CUDA reporting.
    Link #Decimal
  • Powering Cognitive Communications Engine for NASA with Boost
    Boost libraries were employed to provide permissive‑licensed, reliable networking and serialization for a C++11 reinforcement‑learning cognitive engine that autonomously optimizes ISS radio communications. Boost.Asio was used to handle concurrent UDP/Ethernet I/O, and Boost.Serialization was used to enable state persistence across orbital passes, facilitating successful on‑orbit testing.
    News #Asio
  • A postgres library for Boost
    A Boost-native PostgreSQL library, NativePG, is being developed to provide low‑level message serialization, type parsing, pipelined request composition, flexible response handlers, Asio‑based connections, auto‑batching, connection pooling, and safe SQL formatting, extending beyond libPQ.
    Link #Asio

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