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 remarkable text editing application tailored specifically for macOS, capable of managing files that often challenge other editors, including large multi-gigabyte logs, CSV files that surpass Excel's 1,048,576-row limit, SQL dumps, and compact minified code. By employing memory-mapping techniques instead of traditional RAM loading, Caxton can swiftly open a 10 GB log with 80 million lines, conduct comprehensive searches across the entire file that yield 1.6 million results in merely 1.3 seconds, all while keeping memory consumption under 200 MB. Furthermore, users can work with extensive CSV files in a dynamic, sortable grid format, sorting through 2 million rows numerically in just 8.2 seconds, with additional capabilities for filtering, deduplication, and cell editing, while preserving the original plain CSV format during the save process. The application boasts extensive find and replace functionalities, allowing users to execute replacement actions across 1.6 million entries in just 1.7 seconds with an easy single undo option, along with batch replacement and find-in-files features that include previews and backup options. Completely built on AppKit and Swift, without relying on Electron, Caxton is fully notarized and works flawlessly without an internet connection. Each performance claim is documented transparently, with methodologies available at caxton.app/docs/benchmarks, and users can dive into a 7-day free trial with no credit card needed, enabling them to explore all features without any financial risk. This makes Caxton not only a powerful tool for managing large datasets but also an exceptional solution for complex text editing tasks, ensuring that users have everything they need at their fingertips. Whether for professional use or personal projects, Caxton stands out as a top-tier choice in the realm of text editing software.