DeepStack is queued for analysis. Crawling candidates and ranking them takes a few minutes. This page updates itself when the list exists — you can also come back later.
What is known so far comes from the other direction:
These projects were analysed and named DeepStack among their alternatives. The relationship is not symmetric — how DeepStack rates them is a separate judgement, made when DeepStack is analysed in its own right.
calls DeepStack “Choose when you want a language-agnostic local REST/AI engine that provides face recognition among other vision APIs.”
The world's simplest facial recognition api for Python and the command line
calls DeepStack “when you prefer a self-hosted Docker-based AI service exposing face recognition and other vision APIs rather than an embeddable Python library.”
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
calls DeepStack “RESTful AI server for edge deployment; choose it when face recognition should be a separate self-hosted service rather than an in-process library.”
Face recognition with deep neural networks.