CLUSTER FILES-DESKTOP-CSV · 24 ENTRIES · EARLIEST ENTRY 2017-02-01
Desktop tabular data editors
This cluster consists of desktop applications for viewing, editing, and analyzing tabular data files such as CSV, Excel, Parquet, and others, with features like search, filtering, and large-file support. The dated history shows a single entry in February 2017, then a gap until July 2025, followed by entries in November 2025, January 2026, and June 2026, indicating sporadic additions over time. Traction is led by dataset-viewer with 1001 stars, far ahead of less-sheet (3 stars) and s3viewer (2 stars).
Entry timeline
ENTRY TIMELINE
Each bar is the month a member carries, which is a creation date where the source published one and a crawl date otherwise. Nothing in the index was found before 11 August 2026, and coverage broadened sharply on 14–15 August, so a bar from then on reports how much we found that month, not how much was built; an earlier bar reports how far back a member's own source dated it — not how long we have been watching.
Members by activity
Activity signals, not revenue.
Build origin · 1 ai-built · 1 hand-coded · 2 unlabelled
Operator · 1 hobby · 2 open source · 1 unlabelled
Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 4 listed below. Unlabelled means nothing has decided yet — not that the answer is small.
- 21HEIS0★2 mo—hand-codedhobbyDesktop application for exploring and analyzing expense data from CSV/XLSX files, offering charts, anomaly detection, and category insights.
- 22vitables0★5 moliveopen sourceDesktop application for browsing and editing Hierarchical Data Format files.
- 23CSV Editor0★6 mostaleliveopen sourceMobile app for viewing and editing CSV files directly on a device, with spreadsheet-style cell, row, and column editing.
- 24CSV Splitter App0★unknownliveai-builtUtility tool that splits large CSV files into smaller files based on user-defined row counts or size limits.
Ranked by traction, highest first, and paged 20 at a time — this is a window on the cluster, never the whole of it. Ties are broken by a stable id so a product cannot appear on two pages or fall between them. Browse every cluster.