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Human Computer Interaction Python Packages

Python packages with the GitHub topic human-computer-interaction. Sorted by monthly downloads, with stars and forks.
BrightbeamAI
chap-coordinator

CHAP, the Collaborative Human Agent Protocol, is a MCP/A2A-compatible runtime for auditable human-agent work: approvals, overrides, handoffs, escalation and verifiable evidence logs.

2K 107 14
BrightbeamAI
chap-analytics

CHAP, the Collaborative Human Agent Protocol, is a MCP/A2A-compatible runtime for auditable human-agent work: approvals, overrides, handoffs, escalation and verifiable evidence logs.

2K 107 14
PhysiologicAILab
physiokit2

PhysioKit: Open-source, accessible Physiological Computing Toolkit [Sensors 2023]

1K 45 4
paul-shuvo
gazetimation

Gaze estimation from 2D image

1K 13 2
b12io
orchestra

Orchestra is a human-in-the-loop AI system for orchestrating project teams of experts and machines.

1K 714 72
HumanCommunicationInteraction
pywib

Pywib (Python Web Interaction Behaviour) is a library desgined for analysing and obtaning metrics from users interaction with web pages.

1K 3 1
panodata
aika

Time interval parsing utilities for multiple languages.

1K 4 0
BrightbeamAI
chap-google-adk

CHAP, the Collaborative Human Agent Protocol, is a MCP/A2A-compatible runtime for auditable human-agent work: approvals, overrides, handoffs, escalation and verifiable evidence logs.

976 107 14
BrightbeamAI
chap-pydantic-ai

CHAP, the Collaborative Human Agent Protocol, is a MCP/A2A-compatible runtime for auditable human-agent work: approvals, overrides, handoffs, escalation and verifiable evidence logs.

965 107 14
BrightbeamAI
chap-langgraph

CHAP, the Collaborative Human Agent Protocol, is a MCP/A2A-compatible runtime for auditable human-agent work: approvals, overrides, handoffs, escalation and verifiable evidence logs.

961 107 14
BrightbeamAI
chap-ag2

CHAP, the Collaborative Human Agent Protocol, is a MCP/A2A-compatible runtime for auditable human-agent work: approvals, overrides, handoffs, escalation and verifiable evidence logs.

948 107 14
BrightbeamAI
chap-llama-index

CHAP, the Collaborative Human Agent Protocol, is a MCP/A2A-compatible runtime for auditable human-agent work: approvals, overrides, handoffs, escalation and verifiable evidence logs.

945 107 14
lmbooth
pybci-package

Create real-time BCI's with the LSL, PyTorch, SKLearn and TensorFlow packages.

578 33 6
Lax3n
humantyping

The most realistic keyboard typing simulator based on Markov Chains. Models authentic human behavior (errors, corrections, fatigue, speed variations) for Playwright and Selenium automation.

375 87 12
interaction-lab
pylips

A package for simple, expressive, and customizable text-to-speech with an animated face.

351 30 7
Gabrock94
pyaesthetics

A python package to estimate visual features about the aesthetic appearance of still images.

330 50 8
nishantmodak
call-a-human-mcp

MCP server that gives any AI phone a friend options : ask a human or request approval via Slack or macOS dialogs before taking irreversible actions.

308 15 1
Xznder1984
openhandtrack

Real-time 3D hand tracking for Python & the web — a clean, reusable wrapper around MediaPipe Hand Landmarker with gesture recognition and jitter-free smoothing

271 0 0
humancognition
hce

Lossless, pronounceable, encrypted codec for any identifier — reversible, format-preserving, human-readable

269 3 0
CrowdTruth
crowdtruth

CrowdTruth framework for crowdsourcing ground truth for training & evaluation of AI systems

254 64 10
axopy
axopy

A Python Library for Implementing Human-Computer Interface Experiments

213 32 13
gramaziokohler
compas-xr

COMPAS XR streamlines extended reality workflows to ease the implementation of human-machine collaborative applications in architectural research and educational environments.

207 17 7
phantasmlabs
phantasmpy

Toolkits to create a human-in-the-loop approval layer to monitor and guide AI agents workflow in real-time.

156 197 9
hherb
consensus-app

A collaborative intelligence platform that orchestrates structured reasoning between (optional) humans and AI models. Multiple participants — each with their own knowledge, tools, and analytical methods — work together under moderation to investigate questions, stress-test hypotheses, and synthesize conclusions. Supports 18 analytical frameworks

136 2 0
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