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SPECIFICTION
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angr vs Qiling Framework

angr

angr.io

Qiling Framework

qiling.io

Side by side

FigureangrQiling Framework
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
WindowsYesYes
macOSYesYes
LinuxYesYes
API—Yes
Self-hostedYesYes
Plans published11
Spec score · Reverse Engineering Tools8.3 (#7)8.3 (#8)
DeploymentThe project documents installation from source and provides an angr Docker Hub image.The installation guide documents pip installation, source installation, and running Qiling in Docker.
LicenseThe project says angr is free and open-source software under the permissive BSD license.The project is free software under GPL version 2 or, at the user's option, a later version.

Plans

angr

  • Free and Open SourceFree

angr pricing →

Qiling Framework

  • Qiling Framework (GPLv2)Free

Qiling Framework pricing →

In their own words

angr

angr has no write-up on Specifiction yet; its figures are above.

Visit angr.io

Qiling Framework

Qiling Framework is free software for emulating and instrumenting binaries for reverse engineering and security analysis. It runs machine code in an isolated environment and supports debugging across architectures and platforms. Listed architectures include x86, x86_64, ARM, ARM64, MIPS, and 8086; supported formats include PE, Mach-O, ELF, and COM. Hooks can observe instructions, basic blocks, memory access, exceptions, system calls, and I/O. APIs provide access to registers, memory, filesystems, operating systems, debugging, and execution-state saving and restoration. Qiling can also hot patch running code, including loaded libraries. Its IDA Pro plugin can emulate binaries in IDA, display live context, run scripts, save and load snapshots, and deobfuscate code. Qiling uses Unicorn for CPU emulation and adds operating-system awareness, executable loading, dynamic linking, and syscall and I/O handling. Installation options include pip, source, and Docker. It is licensed under GPL version 2 or a later version at the user's option. Some syscalls or operating-system APIs may not be implemented, and users may need to implement or map them.

Visit qiling.io