I built this because I got tired of waiting for pandas to load just to peek at a CSV file. Glance handles multi-million row files in under a second with lazy parsing and SIMD optimizations.

Key features: - Instant schema inference (detects int64, float64, currency, dates, enums) - SQL-like filtering with numeric comparison support - Interactive pager (like less, but CSV-aware) with search - Auto-detects delimiters (comma, tab, pipe, semicolon) - Multiple output formats (table, CSV, TSV, JSON)

Performance on 5M rows (307 MB): - Display + schema: 0.09s (lazy parsing + SIMD line counting) - Full filter + sort: 0.88s

Technical bits: - mmap for zero-copy file access - Flat row storage (single vector with stride, no per-row allocations) - ARM NEON / x86 SSE2 for newline counting - memchr fast-path for quote-free lines, state machine fallback for RFC 4180 edge cases

Built in C++20 with comprehensive tests. Works on macOS and Linux.

GitHub: https://github.com/AveryClapp/glance