Large-file first.
Byte-offset indexing and virtual row rendering keep multi-gigabyte CSV files responsive without loading everything into memory.
Native macOS app
Nanum CSV Viewer helps you inspect, filter, analyze, chart, and pivot large CSV, Excel, and SQLite files locally on your Mac.
Notarized Developer ID release for macOS 14 or later. Mac App Store version is currently waiting for review.
| Date | Region | Segment | Revenue |
|---|---|---|---|
| 2026-01-04 | North America | Enterprise | 42,180 |
| 2026-01-05 | Korea | Research | 18,420 |
| 2026-01-06 | Europe | Public Sector | 24,900 |
| 2026-01-07 | Japan | Healthcare | 31,760 |
| 2026-01-08 | Australia | Education | 12,550 |
| 2026-01-09 | Singapore | Finance | 36,230 |
Built for large data workflows, with a virtual table, background indexing, facet filtering, statistical charts, data quality checks, pivot tools, and Excel/SQLite import.
Byte-offset indexing and virtual row rendering keep multi-gigabyte CSV files responsive without loading everything into memory.
The Facets panel shows per-column histograms and top values beside the grid; click a bar to cross-filter, and combine with text, regex, fuzzy, and header filters.
Seven statistical chart windows — histogram with KDE, boxplot with ANOVA, scatter with regression, correlation heatmap, Q-Q, time series, and Pareto — plus descriptive statistics, frequency, ANOVA, and normality tests.
The Data Quality profiler scans the whole file for missing-value sentinels, mixed types, duplicated keys, and ragged rows, then scores it and exports Markdown, HTML, or JSON reports.
Excel .xlsx/.xlsm workbooks with a multi-sheet picker and SQLite databases with a table picker, alongside UTF-8, UTF-8 BOM, and CP949/EUC-KR CSV. Pivot tables and Swift Charts output included.
Native menus, tabs, drag and drop, clipboard import, light and dark appearance, and a notarized Developer ID release.
Nanum CSV Viewer is a local desktop app. It opens files you choose, builds local indexes, and does not need a cloud service to inspect or analyze your data.
Developer ID signed, notarized, and stapled. SHA-256: 3fc618bae73bca1b083b6ae7d963c139a899589e648a5003d75dd987985c8fe5