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

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

The OWASP Mobile Application Security Testing Guide (MASTG) is a comprehensive manual for mobile app security testing and reverse engineering. It describes technical processes for verifying the OWASP Mobile Security Weakness Enumeration (MASWE) weaknesses, which are in alignment with the OWASP MASVS.

Low-code platform allows you to build business apps, enables you to quickly create internal tools such as dashboard, crud app, admin panel, crm, cms, etc. Supports PostgreSQL, MySQL, Supabase, GraphQL, MongoDB, MSSQL, Rest API, Hugging Face, Redis, etc. Automate workflows with schedule or webhook. Open source Retool.

A set of agent skills that help improve different parts of a product, from animations and typography to layout and colors.

The official Python client for the Hugging Face Hub.

Use Hugging Face with JavaScript

:rocket: An open source alternative to searx which provides a modern-looking :sparkles:, lightning-fast :zap:, privacy respecting :disguised_face:, secure :lock: meta search engine

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

Run a 5-dimension expert design review on any HTML artifact in the project — Philosophy / Visual hierarchy / Detail / Functionality / Innovation, each scored 0–10. Outputs a single self-contained HTML report with a radar chart, evidence-backed scores, and three lists: Keep / Fix / Quick-wins. Use when the brief asks for a "design review", "design critique", "5 维度评审", "design audit", or "what's wrong with my design".

A reusable Agent Skill that turns research briefs into narrated vertical explainer videos with a pre-render review gate.

Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.