{"categories":[{"label":"Software Development","url":"https://skillfed.io/packages/category/software-development/13"},{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/6"},{"label":"Application Frameworks","url":"https://skillfed.io/packages/category/software-development-libraries-application-frameworks/4"},{"label":"Video","url":"https://skillfed.io/packages/category/multimedia-video"},{"label":"Image Recognition","url":"https://skillfed.io/packages/category/scientific-engineering-image-recognition"},{"label":"Human Machine Interfaces","url":"https://skillfed.io/packages/category/scientific-engineering-human-machine-interfaces"}],"enrichment":{"capability":"Python wrapper for Intel RealSense SDK 2.0 that enables depth and color streaming from RealSense depth cameras, with access to calibration data and frame intrinsics.","skillfed_tags":["depth-sensing","computer-vision","robotics"],"use_cases":["Robotics applications requiring real-time depth sensing for obstacle avoidance, grasping, or navigation.","3D scanning and reconstruction workflows that need synchronized RGB and depth frame capture.","Skeletal tracking and human pose estimation using depth data from supported RealSense cameras.","Close-range computer vision tasks (sub-millimeter accuracy) using short-range depth cameras like the D405.","Long-range depth sensing (up to 10 m) for outdoor or industrial monitoring with cameras like the D455."],"what_it_does":"pyrealsense2 is the official Python binding for Intel RealSense SDK 2.0, a cross-platform library for working with RealSense depth cameras. It exposes a high-level API for streaming depth and color frames, querying camera intrinsics and extrinsics, and extracting per-pixel depth values. The package wraps the native C++ SDK and is distributed as precompiled wheels for Python 3.9\u20133.14 on Windows, Linux (x86_64 and aarch64), and other platforms.\n\nThe library is designed for robotics, 3D scanning, skeletal tracking, facial authentication, and other computer vision tasks that require synchronized depth and color data. It has no Python runtime dependencies, relying instead on the underlying compiled RealSense library. The project is actively maintained, recently migrated to the RealSenseAI GitHub organization, and supports a range of stereo depth cameras with varying baseline lengths and depth ranges.","worth_installing":"Yes. The package is actively maintained, has no Python dependencies, supports modern Python versions (3.9\u20133.14), carries no known vulnerabilities, and is the standard way to use RealSense cameras from Python. Install friction is moderate due to compiled wheels, but prebuilt binaries are available for common platforms. Suitable for production use in robotics, computer vision, and 3D imaging projects."},"id":"pyrealsense2","links":{"html":"https://skillfed.io/packages/pyrealsense2","md":"https://skillfed.io/packages/pyrealsense2.md","pypi":"https://pypi.org/project/pyrealsense2/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-19","license_spdx":null,"license_treatment":"permissive","name":"pyrealsense2","python_support":"supports_current","summary":"Python Wrapper for Realsense SDK 2.0."},"popularity":{"monthly_downloads":209168,"position":9518,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"2.58.3.10794"}