Easy CSV Editor vs. Caxton

Easy CSV Editor is a powerful application designed specifically for Mac users, facilitating the efficient management and editing of CSV files. Built entirely using native Apple technologies, it ensures a seamless experience within the Mac environment, featuring a user interface that includes consistent keyboard shortcuts, a customizable toolbar, and right-click context menus. The application functions entirely offline, which guarantees privacy since all data is stored locally and never transmitted online. Easy CSV Editor is known for its swift loading, searching, and filtering capabilities, consistently performing reliably, even with large datasets. To protect data integrity, it prevents accidental alterations, such as the loss of leading zeroes that can be significant in specific scenarios. Moreover, the column explorer feature gives users a comprehensive view of all available columns, making it easy to access vital statistics and information. Its sophisticated filtering options enable targeted data selection, and users can conveniently save and reload filter settings for later use, thereby boosting productivity and efficiency in data management. Furthermore, its design prioritizes user experience, illustrating why Easy CSV Editor is regarded as an indispensable tool for anyone frequently handling CSV files on a Mac. Overall, this application merges speed and intuitive features to meet the demands of modern data users effectively.

Caxton is a native macOS workbench for text and data files of any size: logs, CSVs, TSVs, JSON, SQL dumps, and the exports that break spreadsheets and ordinary editors. One app instead of a text editor, a spreadsheet, and a log viewer: open the file and work. Every delimited file opens as text and as a typed grid; edits made in either view show in the other, and saving writes the same file back. Nothing is imported, converted, or uploaded. Built for the data work companies actually do. Data engineers clean multi-gigabyte exports before they reach the warehouse. Analysts open CSVs past Excel's row limit as a grid with typed sorting, filter by value, fill series, remove duplicates, split and combine columns, and cell editing in place, then save back to plain CSV. SREs inspect production logs with a log viewer mode that jumps to a time and filters by severity. DBAs read SQL dumps before importing them anywhere. Every file stays on the machine it is on. Measured, not claimed. On an M1 Max a 50 GB log (403 million lines) opens immediately with memory under 160 MB throughout, a search returns 8,059,509 matches counted exactly, and Replace All across 1,574,039 sites is one undo step. A 10 million row CSV (5.1 GB) opens as a grid in 4.4 s. The methodology, including a run on a base 8 GB MacBook Air, is published at caxton.app/docs/benchmarks so an IT team can reproduce it. Fit for regulated and sensitive data: native AppKit and Swift, no Electron, no upload, no cloud processing, no telemetry. The only network calls are the update check and license activation, both disclosed in the privacy policy. Notarized by Apple, Apple Silicon and Intel, macOS 13 or later, installable fleet-wide with Homebrew. Licensing for teams: each license covers three Macs. Monthly, annual, and lifetime plans; volume pricing per seat with invoice and PO terms. 7-day trial, no card. After it, opening, searching, and filtering stay free; a license adds editing and saving.