Atom vs. CudaText vs. Java vs. distcc Comparison Chart

CudaText is a cross-platform text editor, written in Object Pascal. It is open source project and can be used free of charge, even for business. It starts quite fast on Linux on CPU Intel Core i3 3GHz. It is extensible by Python add-ons, plugins, linters, code tree parsers, external tools. Syntax parser is feature-rich, from EControl engine. Syntax highlight for lot of languages (270+ lexers). Code tree structure of functions/classes/etc, if lexer allows it. Code folding, multi-carets and multi-selections. Find/Replace with regular expressions. Configs in JSON format. Including lexer-specific configs. Tabbed UI, with a split view to primary/secondary, and a split window to 2/3/4/6 groups of tabs. Command palette, with fuzzy matching, minimap, and micromap. Shows unprinted whitespace and offers support for many encodings. Customizable hotkeys. Binary/Hex viewer for files of unlimited size (can show 10 Gb logs).

Distcc is a distributed compilation system that accelerates C, C++, Objective-C, and Fortran builds by offloading compile jobs across multiple networked machines. It integrates seamlessly with GCC and Clang toolchains, transparently intercepting compiler calls and redistributing them to remote daemons while preserving optimization flags, include paths, and dependency tracking. Its client-server architecture features a lightweight listener that manages job queues, prioritizes local compilation when needed, and automatically detects available hosts via simple configuration or DNS. Distcc supports cross-compilation environments, SSH tunneling for secure clusters, blacklisting of unreliable servers, and integration with build systems like Make, CMake and Ninja. Monitoring tools provide real-time statistics on job distribution and throughput, and compatibility with compilation databases (compdb) enables granular control over distributed workloads.