frida
Dynamic instrumentation toolkit for developers, reverse-engineers, and security researchers
Decision gist · record as of 2026-08-14
Yes, if you need dynamic instrumentation capabilities. Frida is a mature, actively maintained tool (release 9 days old) with broad platform support and no known vulnerabilities. The license is OSI Approved but marked unclear—verify compatibility with your project. Install friction is moderate due to native library requirements, but precompiled wheels ease setup on common platforms. Ideal for reverse engineering, debugging, and security research workflows.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires the Frida native runtime library to be installed on your system; Python 3.7 or later.
- Medium install friction: precompiled wheels available for multiple platforms (Windows, macOS, Linux on x86_64, ARM, and i686 architectures), but requires the underlying Frida native library.
- Active maintenance with a release 9 days old.
License · maintenance · safety
(unclear) — Licensed under wxWindows Library Licence, Version 3.1, classified as OSI Approved but marked as unclear in treatment. Verify compatibility with your project's license requirements before use.
last release 2026-08-05 (9 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,797,847 downloads/mo, #3,547 on PyPI
Alternatives
Verify before relying
pip install frida
import frida
session = frida.attach('process_name')
script = session.create_script('send("hello")')
script.load()- Whether wxWindows Library Licence, Version 3.1 is compatible with your project's licensing model
- Whether the Frida native library is available and compatible with your target platform
- Performance and stability characteristics under heavy instrumentation workloads
What it is and what it does
Frida is a dynamic instrumentation toolkit that allows you to inject and execute code inside running processes without modifying or restarting them. The frida package provides Python bindings to Frida's core capabilities, letting you write Python scripts that attach to processes, load JavaScript instrumentation code, and interact with the running application in real time. It's commonly used for debugging, reverse engineering, security research, and runtime behavior analysis across multiple platforms.
The package wraps Frida's native instrumentation engine, which handles the low-level process attachment and code injection. You write your instrumentation logic in JavaScript (which Frida executes in the target process) and control it from Python. It supports a wide range of platforms and architectures, from desktop systems to mobile devices, making it a cross-platform tool for developers and security researchers who need to inspect or modify application behavior without access to source code.
Use it for
- Debugging closed-source applications by injecting inspection code to trace function calls and monitor state changes
- Reverse engineering mobile or desktop applications to understand their behavior and APIs
- Security research and vulnerability analysis by instrumenting processes to observe runtime behavior
- Automated testing and quality assurance by injecting test hooks into running applications
- Performance profiling by instrumenting hot code paths to measure execution time and resource usage
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need dynamic instrumentation capabilities.
Frida is a mature, actively maintained tool (release 9 days old) with broad platform support and no known vulnerabilities. The license is OSI Approved but marked unclear—verify compatibility with your project. Install friction is moderate due to native library requirements, but precompiled wheels ease setup on common platforms. Ideal for reverse engineering, debugging, and security research workflows.
Install
frida on PyPI
Before you install
Medium install friction: precompiled wheels available for multiple platforms (Windows, macOS, Linux on x86_64, ARM, and i686 architectures), but requires the underlying Frida native library. Active maintenance with a release 9 days old. Single lightweight runtime dependency (typing_extensions).
Requires the Frida native runtime library to be installed on your system; Python 3.7 or later.
License in practice
Licensed under wxWindows Library Licence, Version 3.1, classified as OSI Approved but marked as unclear in treatment. Verify compatibility with your project's license requirements before use.
Quickstart
pip install frida
import frida
session = frida.attach('process_name')
script = session.create_script('send("hello")')
script.load()Verify before relying
- Whether wxWindows Library Licence, Version 3.1 is compatible with your project's licensing model
- Whether the Frida native library is available and compatible with your target platform
- Performance and stability characteristics under heavy instrumentation workloads
Package facts
| License | Not declared unclear |
| Python support | Supports the current Python release >=3.7 |
| Install friction | Medium. Platform-specific wheel |
| Runtime dependencies | 1 packagetyping_extensions |
| Maintenance | Actively maintained 9 days since the last release |
| First released | |
| Downloads | 1,797,847 / month, #3,547 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 :: 3.9Programming Language :: Python :: Implementation :: CPythonTopic :: Software Development :: DebuggersTopic :: Software Development :: Libraries :: Python Modules |
Evidence: frida-17.17.0-cp37-abi3-macosx_10_13_x86_64.whl; frida-17.17.0-cp37-abi3-macosx_11_0_arm64.whl; frida-17.17.0-cp37-abi3-manylinux1_i686.whl; frida-17.17.0-cp37-abi3-manylinux1_x86_64.whl; frida-17.17.0-cp37-abi3-manylinux2014_aarch64.whl; frida-17.17.0-cp37-abi3-manylinux2014_armv7l.whl; frida-17.17.0-cp37-abi3-manylinux_2_17_aarch64.whl; frida-17.17.0-cp37-abi3-manylinux_2_17_armv7l.whl; frida-17.17.0-cp37-abi3-manylinux_2_5_i686.whl; frida-17.17.0-cp37-abi3-manylinux_2_5_x86_64.whl; frida-17.17.0-cp37-abi3-win32.whl; frida-17.17.0-cp37-abi3-win_amd64.whl; frida-17.17.0-cp37-abi3-win_arm64.whl
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See also frida-tools · pydevd-pycharm · mozdebug · inject · conda-inject · flet-desktop · pydevd · isystem.connect · alluka · injector