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Provides fast rank, select, quantile, range aggregation, top-k, and boundary queries on indexed integer sequences, with optional disk-backed storage and dynamic updates.

Launch screenshots from Product Hunt, Jun 2026

A high-performance indexed sequence data structure implemented in Rust, providing fast rank, select, and range queries over integer sequences. It solves the problem of efficiently querying large static or dynamic datasets, with runtime dependent on bit-width rather than data size. The product targets developers and data teams working with large-scale data processing, particularly those using Python. It is delivered as an open-source Python package via PyPI, with optional disk-backed storage and dynamic update capabilities.

Key features

  • Fast rank, select, quantile
  • Rich range queries (freq/sum/top-k/min/max)
  • Optional disk-backed storage
  • Optional dynamic updates (insert/remove/update)
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