v0.1.0

First public release — a lightweight, column-oriented DataFrame /
tabular-data library for the MoonBit
ecosystem.

v0.1 covers the core value types, an Apache-Arrow-style column backend,
Series / DataFrame / RowView, the full operator set (select /
filter / sort / null-handling / stats / describe), and three I/O formats
(CSV / Markdown / JSON) — usable both as sub-packages and through a
single facade import.

Highlights

• Total-by-construction error model — never aborts the host process;
  no hidden unwrap panics. Fallible work returns Result[_, DataError],
  provably-total work returns its value directly.
• Apache Arrow style column layout — separate value buffer + packed
  validity Bitmap (1 = valid); 64-bit numerics (Int64 / Double).
• DataFrame with O(1) name lookup and a check_invariants()
  structural spec asserted by every op test.
• Stable mergesort with explicit NullOrder; SQL-style lexicographic
  String ordering.
• I/O — NyaCSV-backed CSV with strict type inference, GFM Markdown
  tables, and records-shape JSON round-trip.
• Facade package — import "ihb2032/MoonFrame" @moonframe reaches the
  whole surface; sub-package imports remain supported.

Quality

• 514 tests · 100% line coverage · 0 warnings on moon check
• No unwrap / abort in library code; 0 panics, 0 stubs

Documentation

• README — overview, usage, type-inference rules, roadmap
• Public API reference — source of truth for the v0.1 surface

License

Apache-2.0