Compare Caxton vs. CudaText

Caxton is a native macOS large file text editor and CSV editor in one: a workbench for logs, CSVs, TSVs, JSON, SQL dumps, and exports of any size. 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. It memory maps the file instead of loading it into RAM. On an M1 Max a 50 GB log (403 million lines) opens immediately, indexes in 75 s, and memory stays under 160 MB throughout. A search returns 8,059,509 matches counted exactly; Replace All across 1,574,039 sites is one undo step. A 10 million row CSV (5.1 GB) opens as a sortable, filterable grid in 4.4 s, past Excel's row limit. Every number, including a run on a base 8 GB M1 Air, is published with its methodology at caxton.app/docs/benchmarks. Text: find and replace with exact counts and regex, Batch Replace, Find in Files, filters that keep line numbers, a log viewer mode with Go to Time and severity filters, follow mode, side by side compare, multi-cursor editing, snippets, clipboard history, 18 encodings. CSV: typed sorting, filter by value, fill series, remove duplicates, split and combine columns, change the delimiter, fixed-width to columns, cell editing in place. Native AppKit and Swift, no Electron. Files never leave the Mac: no upload, no cloud processing, no telemetry. Apple Silicon and Intel, macOS 13 or later, a 5 MB notarized download, also installable with Homebrew. Built for data engineers, SREs, DBAs, and analysts. 7-day trial, no card. After it, opening, searching, filtering, and copying stay free; a license adds editing and saving.

CudaText is a versatile text editor that operates across multiple platforms and is developed using Object Pascal. As an open-source initiative, it provides users the freedom to utilize its features at no cost, including for commercial purposes. On an Intel Core i3 3GHz processor running Linux, the application launches quickly and efficiently. Users can enhance its functionality through Python-based add-ons, plugins, linters, and external tools, making it highly adaptable. The syntax parser, powered by the EControl engine, is robust and supports over 270 languages with rich syntax highlighting. It also enables the visualization of code structures, such as functions and classes, contingent on the capabilities of the lexer. Additional features include code folding, the ability to use multiple carets and selections, as well as advanced find and replace options that utilize regular expressions. Configuration files are conveniently stored in JSON format, allowing for lexer-specific settings. The interface is tabbed and includes options for split views and windows, accommodating up to six groups of tabs. A command palette with fuzzy matching enhances navigation, while a minimap and micromap aid in text editing. CudaText also displays unprinted whitespace and supports a wide array of encodings, catering to diverse user needs. Furthermore, it allows for customizable hotkeys and includes a binary/hex viewer capable of handling files of virtually any size, which is particularly useful for analyzing large log files up to 10 GB. The combination of these features makes CudaText a powerful tool for programmers and writers alike.