dlib

Health v2 · maintenance only

Adoption not part of the score

14436 stars · 3441 forks observed · 2026-09-06

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Dlib is a modern C++ toolkit containing machine learning algorithms, deep learning tools, computer vision, linear algebra, and general-purpose utilities for building real-world applications. It also ships a Python API installable via pip and provides pretrained models for tasks like face detection and landmark estimation.

Use cases

• detect faces and facial landmarks in images
• train object detection models in C++
• run deep learning inference without a heavy framework
• perform SVM classification and regression
• do linear algebra and matrix computations in C++
• build image processing pipelines
• use machine learning from Python via pip install dlib

When to choose

• you need high-performance ML/computer vision in C++ with minimal dependencies
• you want face detection or landmark models that run on CPU
• you need a broad set of algorithms (SVM, clustering, optimization, geometry) in one library
• you want a permissive Boost license for commercial use

When to avoid

• you need GPU-accelerated transformer or LLM workloads better served by PyTorch
• you want a Python-first ecosystem with extensive community tooling
• you need prebuilt wheels for every platform or quick prototyping over performance

Facets

library · maturity stable

machine-learning deep-learning computer-vision image-processing nlp data-science graphics gui http-server math machine-learning computer-vision deep-learning data-science image-processing developer-tools cpp python cross-platform windows face-detection face-landmarks svm object-detection linear-algebra cmake boost-license pretrained-models algorithms linux macos

Member repositories

For agents

markdown · JSON · MCP: product_card(name="davisking/dlib")