GitButler vs Gittyup

GitButler is a Git-based version-control interface with a graphical client and command-line tools for AI-powered workflows. It lets developers manage multiple independent branches in one working directory, as well as dependent stacks that can be merged in a chosen order. Commit controls cover creating, changing, squashing, splitting, reordering and undoing commits; project-state snapshots offer a way to reverse major operations. AI can generate commit messages and branch names using OpenAI, Anthropic, Ollama or LM Studio. GitHub, GitLab and Bitbucket integrations support pull requests and branch workflows, with GitHub Enterprise connections available using an API URL and personal access token. Commits can be signed automatically with GPG or SSH keys. GitButler runs on macOS, Windows and Linux. Linux releases require libwebkit2gtk and can have distribution-specific compatibility limitations. The standalone client is free and open source; the project is described as Fair Source, becoming MIT after two years. A Supporter plan is $5 a month, billed monthly.

Gittyup is a free, open-source graphical Git client for Linux, macOS, and Windows, developed by volunteers as a continuation of GitAhead. It helps users inspect and manage source-code history. The history view focuses on one branch at a time, with tabs for switching repositories. Its diff view allows staging or unstaging individual lines and viewing blame; the blame timeline identifies who changed each line. Commit features include amending, message templates, starring, and tag selection. Gittyup can resolve rebase conflicts and continue afterward. It supports Git LFS and submodules, but not interactive rebase. The changelog notes Gitea support, and SSH appears among dependencies. Language options include English, German, Spanish, Japanese, Portuguese, Brazilian Portuguese, Chinese, and Russian. MIT licensing permits use, modification, and distribution, while providing no warranty. Source builds require Qt 6.4 or later and a C++11 compiler; CMake 3.19 or later is recommended.