frida-tools
Frida CLI tools
Decision gist · record as of 2026-08-14
Yes, if you need runtime code inspection and injection across multiple platforms. High install friction (native dependencies) and an uncommon license (wxWindows) are real considerations, but the package is production-stable, actively maintained, and has no known vulnerabilities. Start with the official Frida documentation to confirm your use case is supported on your target platform.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires frida native binaries compiled for your OS (Windows, macOS, Linux, iOS, or Android).
- Installation may fail without a compatible platform or build environment.
- High install friction due to native dependencies; frida itself requires compiled binaries for your platform.
License · maintenance · safety
(unclear) — Licensed under wxWindows Library Licence, Version 3.1, which is OSI-approved but less common than GPL or MIT. License treatment is marked unclear in the package metadata, so review the actual license terms before use in proprietary or commercial projects.
last release 2026-06-25 (50 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 466,011 downloads/mo, #6,505 on PyPI
Alternatives
Verify before relying
pip install frida-tools
from frida_tools import *
# Then use CLI commands like frida, frida-ps, frida-trace, or frida-kill- Whether frida-tools works on all listed platforms (iOS, Android, QNX) or only as a host tool for those targets
- Exact Python version support—classifiers list 3.7–3.10 but requires_python is unspecified
- Whether the wxWindows license imposes restrictions on closed-source or commercial use
What it is and what it does
frida-tools is a command-line interface to Frida, a dynamic instrumentation engine used to inspect, modify, and inject code into running processes. It works across Windows, macOS, Linux, iOS, and Android, making it useful for security research, reverse engineering, debugging, and runtime analysis. The package depends on frida itself (the core engine), plus colorama, prompt-toolkit, pygments, and websockets for terminal UI and communication.
You install it to gain access to CLI commands like frida (interactive REPL), frida-ps (list processes), frida-trace (trace function calls), and frida-kill (terminate instrumented processes). It's production-stable and actively maintained, but installation has high friction because frida requires compiled native binaries for your platform.
Use it for
- Reverse-engineer closed-source mobile or desktop applications by injecting JavaScript to inspect runtime behavior
- Trace function calls and system interactions in running processes without recompiling or attaching a traditional debugger
- Security research and vulnerability discovery by instrumenting code at runtime to observe data flow and state changes
- Automate testing of applications by injecting test code and assertions into live processes
- Debug native code in iOS or Android apps by hooking into Objective-C, Swift, Java, or native methods from the command line
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need runtime code inspection and injection across multiple platforms.
High install friction (native dependencies) and an uncommon license (wxWindows) are real considerations, but the package is production-stable, actively maintained, and has no known vulnerabilities. Start with the official Frida documentation to confirm your use case is supported on your target platform.
Install
frida-tools on PyPI
Before you install
High install friction due to native dependencies; frida itself requires compiled binaries for your platform. Installation may require build tools or pre-built wheels. Actively maintained with a release within the last 50 days.
Requires frida native binaries compiled for your OS (Windows, macOS, Linux, iOS, or Android). Installation may fail without a compatible platform or build environment.
License in practice
Licensed under wxWindows Library Licence, Version 3.1, which is OSI-approved but less common than GPL or MIT. License treatment is marked unclear in the package metadata, so review the actual license terms before use in proprietary or commercial projects.
Quickstart
pip install frida-tools
from frida_tools import *
# Then use CLI commands like frida, frida-ps, frida-trace, or frida-killVerify before relying
- Whether frida-tools works on all listed platforms (iOS, Android, QNX) or only as a host tool for those targets
- Exact Python version support—classifiers list 3.7–3.10 but requires_python is unspecified
- Whether the wxWindows license imposes restrictions on closed-source or commercial use
Package facts
| License | Not declared unclear |
| Python support | Not specified |
| Install friction | High. Source build required |
| Runtime dependencies | 5 packagescoloramafridaprompt-toolkitpygmentswebsockets |
| Maintenance | Actively maintained 50 days since the last release |
| First released | |
| Downloads | 466,011 / month, #6,505 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableEnvironment :: ConsoleEnvironment :: MacOS XEnvironment :: Win32 (MS Windows)Intended Audience :: DevelopersIntended Audience :: Science/ResearchLicense :: OSI ApprovedNatural Language :: EnglishOperating System :: MacOS :: MacOS XOperating System :: Microsoft :: WindowsOperating System :: POSIX :: LinuxProgramming Language :: JavaScriptProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Software Development :: DebuggersTopic :: Software Development :: Libraries :: Python Modules |
Evidence: frida_tools-14.10.4.tar.gz
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