{"categories":[{"label":"Software Development","url":"https://skillfed.io/packages/category/software-development/14"},{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/6"}],"enrichment":{"capability":"Python bindings for the DepthAI C++ library, enabling programmatic control of OAK (OmniDirectional Awareness Kit) depth cameras and spatial AI hardware.","skillfed_tags":["depth-camera","spatial-ai","computer-vision"],"use_cases":["Real-time depth sensing and 3D reconstruction from OAK stereo cameras in robotics or autonomous systems.","On-device spatial AI inference (object detection, pose estimation) without sending frames to a remote server.","Prototyping computer vision pipelines that combine depth, RGB, and neural network outputs on embedded or edge hardware.","Building augmented reality or spatial mapping applications that require low-latency depth data.","Integrating OAK cameras into Python-based research or educational projects in computer vision."],"what_it_does":"DepthAI is a Python wrapper around the DepthAI C++ core library, providing direct access to Luxonis OAK depth cameras and spatial AI accelerators. It exposes a high-level API for configuring camera pipelines, capturing depth and RGB frames, and running on-device neural network inference. The library depends only on numpy and is distributed as prebuilt wheels for modern Python versions across Windows, macOS, and Linux.\n\nTypical workflows involve creating a pipeline (defining camera nodes, neural networks, and data flows), connecting it to a device, and then streaming frames or inference results back to Python. The package is designed for real-time 3D vision tasks where depth sensing and spatial awareness are primary requirements. Building from source is supported but adds significant complexity due to C++ compilation and external dependencies like libusb.","worth_installing":"Yes, if you own or plan to use an OAK camera or compatible Luxonis depth hardware. The library is actively maintained, has no known vulnerabilities, and offers permissive licensing. Install friction is moderate due to compiled bindings and system dependencies, but prebuilt wheels mitigate most friction for standard platforms. Not worth installing without the hardware."},"id":"depthai","links":{"html":"https://skillfed.io/packages/depthai","md":"https://skillfed.io/packages/depthai.md","pypi":"https://pypi.org/project/depthai/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-10","license_spdx":null,"license_treatment":"permissive","name":"depthai","python_support":"supports_current","summary":"DepthAI Python Library"},"popularity":{"monthly_downloads":182146,"position":10107,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"3.8.0"}