Which is more popular, Claude Code or GPT Runner?

Claude Code has more GitHub stars (149,027 vs 383).

Which is more actively developed, Claude Code or GPT Runner?

Claude Code had more commits in the last 90 days (211 vs 0).

Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.

Side-by-side comparison of two AI agent tools

GPT Runner has had no commit in 37 months; Claude Code is actively maintained (211 commits in the last 90 days).
Claude Code is growing faster: +10,347 GitHub stars in the last 30 days vs +1 for GPT Runner.
Pick Claude Code for: agentic coding tool that understands codebases and handles tasks and Git workflows from your terminal. Pick GPT Runner for: conversations with your files.

From GitHub data refreshed daily.

Agentic coding tool that understands codebases and handles tasks and Git workflows from your terminal

GPT Runneropen-source

Conversations with your files! Manage and run your AI presets!

+Natural language interface eliminates the need to memorize complex command syntax and enables intuitive interaction with development tools
+Deep codebase understanding allows for contextually relevant suggestions and automated workflows that consider your entire project structure
+Cross-platform compatibility with multiple installation methods and integration options including terminal, IDE, and GitHub environments

+Multi-platform availability with CLI, web, and VSCode extension options for flexible integration
+AI preset management system enables reusable, standardized AI configurations across projects and teams
+Direct code file conversation capability allows contextual AI assistance with existing codebases

-Requires active internet connection and API access to function, creating dependency on external services
-Data collection for feedback purposes may raise privacy concerns for developers working on sensitive or proprietary codebases
-As a relatively new tool, long-term stability and feature consistency may be less established compared to traditional development tools

-Requires setup and configuration of AI presets before optimal use, adding initial complexity
-Dependent on external AI services which may have usage limits or costs
-Learning curve for effectively creating and managing AI presets for different use cases

•Automating routine git workflows like branch management, commit message generation, and merge conflict resolution through natural language commands
•Explaining complex legacy code or unfamiliar codebases to help developers quickly understand intricate patterns and architectural decisions
•Executing repetitive coding tasks such as refactoring, test generation, and boilerplate code creation without manual implementation

•Code review assistance where AI presets help analyze code quality and suggest improvements
•Development workflow automation using custom presets for repetitive coding tasks and documentation
•Team collaboration enhancement by sharing standardized AI configurations across development teams

Which is more popular, Claude Code or GPT Runner?: Claude Code has more GitHub stars (149,027 vs 383).
Which is more actively developed, Claude Code or GPT Runner?: Claude Code had more commits in the last 90 days (211 vs 0).
Should I use Claude Code or GPT Runner?: Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.