realsenseai/librealsense

RealSense SDK

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Summary Information

Updated 52 minutes ago
Added to GitGenius on September 7th, 2026
Created on November 17th, 2015
Open Issues & Pull Requests: 477 (+0)
GitHub issues: Enabled
Number of forks: 5,039
Total Stargazers: 9,001 (+0)
Total Subscribers: 280 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 2.2 hours
Mean response time: 3.3 days
90th percentile: 17.3 hours
Tracked items: 1,039

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 100% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. 77% of tracked open issues have had no activity in three months, so the open count overstates what is actively being worked. Only 3% of issues opened in the past year have been closed. Three people close 58% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 198
New in 7 days: 2
Closed in 7 days: 1
Avg open age: 338 days
Stale 30+ days: 183
Stale 90+ days: 156

Recent activity

Opened in 7 days: 1
Closed in 7 days: 1
Comments in 7 days: 1
Events in 7 days: 1

Top labels

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Detailed Description

RealSense SDK is a cross-platform library for interfacing with RealSense depth cameras. The SDK enables depth and color streaming from RealSense hardware while providing intrinsic and extrinsic calibration information for the captured data.

The tool solves the problem of accessing depth camera hardware in a standardized way across different platforms. It abstracts the complexity of communicating with RealSense depth cameras, allowing developers to stream depth and color data without managing low-level hardware protocols. The library handles calibration data that describes how the camera's internal geometry and the relationship between multiple sensors, enabling accurate 3D reconstruction and computer vision applications.

Developers working with RealSense depth cameras should adopt this SDK as the primary interface to their hardware. It suits projects requiring depth sensing, 3D reconstruction, or stereo vision where RealSense cameras are the chosen sensor platform. The tool is particularly valuable for applications in robotics, augmented reality, gesture recognition, and other computer vision domains that depend on depth data.

The project maintains active development with regular commits flowing into a development branch separate from the master branch. The repository runs continuous integration checks on the development branch to validate builds. The project tracks and responds to issues reported by users. The codebase is written primarily in C++ and is designed for cross-platform deployment.