CodeRunner vs. Caxton

Caxton

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What is CodeRunner?

CodeRunner is a streamlined and effective programming text editor and integrated development environment (IDE) specifically designed for macOS users. This adaptable tool accommodates a wide variety of popular programming languages, executing them with remarkable speed. It natively supports 25 languages, but users can effortlessly add more through terminal commands. With over 200 syntax modes available, combined with an impressive suite of advanced editing features and thoughtful design components, CodeRunner is poised to be your go-to editor for various text file types. Its code completion feature is exceptional, employing sophisticated text matching that transcends basic single-word suggestions. The innovative extra-fuzzy search algorithm enables quick navigation through potential completions amongst thousands, enhanced by useful documentation snippets and a smart ranking system to prioritize results. Moreover, instead of filling your code with print statements for debugging, you can utilize CodeRunner's extensive built-in debugging tools, which enable you to set breakpoints and step through your code with ease. The user-friendly interface, paired with powerful functionalities, makes CodeRunner suitable for both beginners and experienced developers, ensuring that everyone can benefit from its capabilities. Whether you're writing simple scripts or complex applications, CodeRunner's versatility and efficiency will make your coding experience more enjoyable.

What is Caxton?

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.