angr vs Frida
angr
angr.ioFrida
frida.reSide by side
| Figure | angr | Frida |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| iOS | — | Yes |
| Android | — | Yes |
| API | — | Yes |
| Self-hosted | Yes | — |
| Plans published | 1 | 1 |
| Spec score · Reverse Engineering Tools | 8.3 (#7) | 8.7 (#4) |
| GUI | The project points users to angr-management as its GUI and describes it as being in a very alpha state. | Luma is presented as the official Frida app with persistent sessions, a live REPL, an integrated frida-trace handler editor and real-time collaboration. |
| Installation | angr is a Python 3.10+ library available through PyPI and can be installed with pip. | CLI installation requires a recent Python 3.x release and Windows, macOS or GNU/Linux; the documented command is pip install frida-tools. |
| Support | The project directs users to Discord, GitHub issues and pull requests, or a public mailing list, and describes support as a typical open-source model with potentially long email response times. | Frida’s contact page lists a Telegram group and the #frida IRC channel for contacting the community. |
Plans
In their own words
Frida
Frida is a dynamic instrumentation toolkit for developers, reverse-engineers, and security researchers. It lets users place scripts in running processes to hook functions, inspect APIs, and trace application code without source code. Documented uses include API tracing, diagnostics, encrypted-protocol analysis, and black-box testing.
Frida supports injected, embedded, and preloaded instrumentation. When injection is unavailable, Frida Gadget can be embedded in a program, including on jailed iOS and Android systems. Supported targets include Windows, macOS, GNU/Linux, iOS, watchOS, tvOS, Android, FreeBSD, and QNX. Language bindings include Node.js, Python, Swift, .NET, Qt/Qml, and Go, alongside a C API. The CLI tools require Python and run on Windows, macOS, or GNU/Linux; the documented installation command is `pip install frida-tools`.