dlib-bin
A toolkit for making real world machine learning and data analysis applications
Decision gist · record as of 2026-08-14
Yes, if you need dlib and want to avoid compilation overhead. The package is actively maintained, covers major platforms, and has no known vulnerabilities. However, verify that the Boost Software License is compatible with your project, and confirm that the pre-built wheels meet your performance and feature requirements before committing to production use.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10, 3.11, 3.12, 3.13, or 3.14; macOS support is Apple Silicon (arm64) only as of version 20.0.1.
- Medium install friction due to platform-specific wheels, but the package is actively maintained with recent releases and covers major platforms (Windows, macOS arm64, Linux GLIBC and MUSL).
- Binary distribution eliminates compilation overhead compared to building dlib from source.
License · maintenance · safety
Boost Software License (unclear) — Licensed under Boost Software License with unclear SPDX mapping in the package metadata. Verify the actual license terms and compatibility with your project before use, as the license treatment is not definitively resolved.
last release 2026-03-30 (137 days) · last repo commit 2026-03-30 · 17 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 3,639,508 downloads/mo, #2,547 on PyPI
Alternatives
Verify before relying
pip install dlib-bin
import dlib
# dlib is now available for use in machine learning and computer vision tasks- Whether Boost Software License is compatible with your project's license requirements (SPDX mapping unclear).
- API stability and feature parity with the upstream dlib project across version updates.
- Performance characteristics compared to building dlib from source with optimizations.
What it is and what it does
dlib-bin is a binary wheel distribution of dlib, a C++ machine learning and computer vision toolkit. It eliminates the compilation step that normally accompanies dlib installation by providing pre-built wheels for Windows, macOS (Apple Silicon), and Linux (both GLIBC and MUSL variants). The package supports Python 3.10 through 3.14 and covers both x86_64 and aarch64 architectures where applicable.
The primary value is installation simplicity: a single pip command replaces the need for C++ compilers and build tools. This makes dlib accessible to developers who lack a build environment or prefer faster setup times. The package is actively maintained and has no known security vulnerabilities, though its license treatment remains unclear in the metadata.
Use it for
- Install dlib quickly in CI/CD pipelines or containerized environments without requiring build toolchains.
- Develop computer vision applications (image recognition, face detection) on macOS with Apple Silicon without compilation.
- Deploy machine learning models that depend on dlib to production systems across heterogeneous Linux distributions.
- Prototype machine learning solutions on Windows without installing Visual Studio or C++ build tools.
- Use dlib in Alpine Linux containers where MUSL compatibility is required and compilation is impractical.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need dlib and want to avoid compilation overhead.
The package is actively maintained, covers major platforms, and has no known vulnerabilities. However, verify that the Boost Software License is compatible with your project, and confirm that the pre-built wheels meet your performance and feature requirements before committing to production use.
Install
dlib-bin on PyPI
Before you install
Medium install friction due to platform-specific wheels, but the package is actively maintained with recent releases and covers major platforms (Windows, macOS arm64, Linux GLIBC and MUSL). Binary distribution eliminates compilation overhead compared to building dlib from source.
Requires Python 3.10, 3.11, 3.12, 3.13, or 3.14; macOS support is Apple Silicon (arm64) only as of version 20.0.1.
License in practice
Licensed under Boost Software License with unclear SPDX mapping in the package metadata. Verify the actual license terms and compatibility with your project before use, as the license treatment is not definitively resolved.
Quickstart
pip install dlib-bin
import dlib
# dlib is now available for use in machine learning and computer vision tasksVerify before relying
- Whether Boost Software License is compatible with your project's license requirements (SPDX mapping unclear).
- API stability and feature parity with the upstream dlib project across version updates.
- Performance characteristics compared to building dlib from source with optimizations.
Package facts
| License | Boost Software License unclear |
| Python support | Not specified |
| Install friction | Medium. Platform-specific wheel |
| Runtime dependencies | None |
| Maintenance | Actively maintained 137 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 3,639,508 / month, #2,547 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/StableIntended Audience :: DevelopersIntended Audience :: Science/ResearchOperating System :: MacOS :: MacOS XOperating System :: MicrosoftOperating System :: Microsoft :: WindowsOperating System :: POSIXOperating System :: POSIX :: LinuxProgramming Language :: C++Programming Language :: PythonTopic :: Scientific/EngineeringTopic :: Scientific/Engineering :: Artificial IntelligenceTopic :: Scientific/Engineering :: Image RecognitionTopic :: Software Development |
Evidence: dlib_bin-20.0.1-cp310-cp310-macosx_14_0_arm64.whl; dlib_bin-20.0.1-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl; dlib_bin-20.0.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl; dlib_bin-20.0.1-cp310-cp310-musllinux_1_2_aarch64.whl; dlib_bin-20.0.1-cp310-cp310-musllinux_1_2_x86_64.whl; dlib_bin-20.0.1-cp310-cp310-win_amd64.whl; dlib_bin-20.0.1-cp311-cp311-macosx_14_0_arm64.whl; dlib_bin-20.0.1-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl; dlib_bin-20.0.1-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl; dlib_bin-20.0.1-cp311-cp311-musllinux_1_2_aarch64.whl; dlib_bin-20.0.1-cp311-cp311-musllinux_1_2_x86_64.whl; dlib_bin-20.0.1-cp311-cp311-win_amd64.whl; dlib_bin-20.0.1-cp312-cp312-macosx_14_0_arm64.whl; dlib_bin-20.0.1-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl; dlib_bin-20.0.1-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl; dlib_bin-20.0.1-cp312-cp312-musllinux_1_2_aarch64.whl; dlib_bin-20.0.1-cp312-cp312-musllinux_1_2_x86_64.whl; dlib_bin-20.0.1-cp312-cp312-win_amd64.whl; dlib_bin-20.0.1-cp313-cp313-macosx_14_0_arm64.whl; dlib_bin-20.0.1-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl
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