Compare
Up to three tools. The table shows the data as-is, without picking a “best”.
| Field | Miller | act | superpowers-dsh |
|---|---|---|---|
| Platforms | Universal, MCP, Claude Code, Codex, Cursor | GitHub | DeepSeek Harness |
| Local support | Yes | Yes | Yes |
| Paid API | No | No | No |
| License | BSD-2-Clause | MIT | MIT |
| Stars | 10049 | 72437 | 119 |
| Last activity | October 21, 2026 | — | — |
| Install complexity | EASY | — | — |
| Category | Workflow, Data | Testing, Git, DevOps | Multi-Agent, Testing, Workflow |
| Best use | Ideal for developers, data analysts, and operators who need to clean a CSV export, inspect JSON Lines, or summarize a large file from the terminal without starting a Python project. Use it for quick, repeatable file processing; concurrent transactions and advanced visual analysis still call for a database or complementary analytics tool. | Best for a developer or small team that repeatedly edits GitHub Actions workflows and wants to test a job before pushing. It provides a local run log, while a final GitHub check remains necessary. It is not suitable when exact hosted-runner parity is required. | Best for DSH users who want reusable development workflow skills in their profile. It does not automate model or effort routing. |