# jeeliz/jeelizWeboji

Real time WebGL and JavaScript library for face tracking, expression detection and animated emoticons in the browser, with both SVG and Three.js demos included 😄

Repository: https://github.com/jeeliz/jeelizWeboji
Canonical: https://ross.abutalabs.com/products/jeelizweboji
Homepage: https://jeeliz.com
Language: JavaScript
License: Apache-2.0
License Family: permissive
Topics: javascript, webgl, threejs, weboji, webcam, deep-learning, face, face-expression, computer-vision, augmented-reality, face-detection, face-tracking, real-time, morph, animated, emoticon, tracking, camera, webar
Last push: 2024-02-06T19:36:18+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3005, "days_push": 939, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1097, forks 151 (observed 2026-08-28T04:03:34.695668+00:00)

## What it is
A JavaScript/WebGL library for real-time face tracking and facial expression detection in the browser, using a neural network to detect 11 facial expressions and 3D face rotation. It includes helpers and demos for animating SVG and Three.js models as animated emoticons.

## Use cases
- detect facial expressions from webcam in the browser
- animate a 3D avatar with my face in real time
- build animated emoticons driven by face tracking
- track face rotation and expressions in a web app
- create an AR face filter without a server

## When to choose
- you need client-side, real-time face expression detection in the browser
- you want to animate SVG or Three.js models from webcam input
- you need a lightweight, mobile-friendly face tracking solution

## When to avoid
- you need server-side or native face tracking outside the browser
- you need precise landmark-level facial analysis rather than expression coefficients
- your users have weak GPUs, since detection quality depends on GPU power

## Facets
- artifact type: library
- maturity: maintenance
- function: computer-vision, machine-learning, image-processing
- domain: computer-vision, web-development, artificial-intelligence
- platform: browser
- tags: face-tracking, facial-expression-detection, webgl, threejs, webcam, augmented-reality, emoticon, real-time, javascript

## Member repositories
- jeeliz/jeelizWeboji (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:34.695668+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:46:35.422205+00:00, confidence not recorded.
  - readme: https://github.com/jeeliz/jeelizWeboji (fetched 2026-08-28T04:03:34.695668+00:00, sha e52274711206)
  - homepage: https://jeeliz.com (fetched 2026-08-29T12:49:45.540734+00:00, sha eb6118484e6a)
- Data as of 2026-08-30T08:39:29.467469+00:00.