insightface VS roop

Compare insightface vs roop and see what are their differences.

Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
insightface roop
34 43
21,301 24,830
3.4% -
7.7 9.1
13 days ago about 1 month ago
Python Python
MIT License GNU General Public License v3.0 only
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

insightface

Posts with mentions or reviews of insightface. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-22.

roop

Posts with mentions or reviews of roop. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-30.

What are some alternatives?

When comparing insightface and roop you can also consider the following projects:

Face Recognition - The world's simplest facial recognition api for Python and the command line

roop-unleashed - Evolved Fork of roop with Web Server and lots of additions

deepface - A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

sd-webui-roop - roop extension for StableDiffusion web-ui

facenet - Face recognition using Tensorflow

FaceFusion - Next generation face swapper and enhancer

faceswapvideo - one-click deepfake (face swap)

CompreFace - Leading free and open-source face recognition system

sd-webui-roop-unlock - roop extension for StableDiffusion web-ui

lance - Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, with more integrations coming..