Koi Editor vs. Caxton

Koi Editor is a fast, efficient, and customizable text and code editor designed specifically for macOS, focusing on reducing typing latency, managing large files effectively, and enabling smooth local workflows. The editor includes a variety of features such as multi-cursor editing, synchronized document views, project-wide search capabilities, easy navigation through files and buffers, syntax highlighting, code suggestions, customizable themes, personalized keybindings, and a comprehensive set of text-editing commands. Engineered for optimal performance, Koi maintains its responsiveness even when managing large source files, logs, and complex text formats, having been rigorously tested with documents containing millions of lines while ensuring syntax highlighting and essential editing functions remain intact. With additional AI features that facilitate local model support via Ollama for real-time code suggestions and assistance, Koi operates entirely offline without requiring a user account and is free from telemetry components. Tailored specifically for Apple Silicon Macs, Koi integrates a unique editing engine with the native functionalities of macOS, thereby providing a performance-driven user experience that feels familiar and intuitive. In summary, Koi Editor stands out as a contemporary tool for developers and writers who desire a robust, streamlined interface, allowing them to focus on their work without the clutter of extraneous features, all while enjoying a responsive and powerful editing environment.

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.