CudaText vs. Caxton

CudaText is a flexible text editor that works seamlessly across different operating systems and is crafted using Object Pascal. Being an open-source project, it allows users to access its extensive features without any cost, even for commercial use. When run on a Linux system with an Intel Core i3 3GHz processor, the application starts up swiftly and operates smoothly. Users can further extend its capabilities through Python-based add-ons, plugins, linters, and various external tools, making it incredibly versatile for various tasks. The syntax parser, driven by the EControl engine, is highly effective and accommodates over 270 programming languages with comprehensive syntax highlighting. It also facilitates the display of code structures such as functions and classes, depending on the lexer’s features. Among its many capabilities are code folding, support for multiple carets and selections, as well as sophisticated find and replace functions that leverage regular expressions. Configuration settings are conveniently stored in JSON format, allowing for specific lexer adjustments. The user interface is organized into tabs and offers options for split views and windows, enabling users to manage up to six groups of tabs simultaneously. A command palette featuring fuzzy matching improves navigation, while a minimap and micromap assist in text manipulation. CudaText also highlights unprinted whitespace and supports a broad range of encodings, catering to various user preferences. In addition to customizable hotkeys, it includes a binary/hex viewer adept at processing files of nearly any size, making it especially beneficial for examining large log files that can reach up to 10 GB. The integration of these features positions CudaText as an exceptional tool for both programmers and writers, enhancing productivity in coding and writing endeavors. Its adaptability and extensive feature set ensure that it remains a popular choice in the text editing landscape.

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.