pinterest/pinremoteimage

A thread safe, performant, feature rich image fetcher

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Summary Information

Updated 6 minutes ago
Type:Library / SDKCategory(s):iOS & macOSMobile & Desktop
Added to GitGenius on September 17th, 2026
Created on July 23rd, 2015
Open Issues & Pull Requests: 62 (+0)
GitHub issues: Enabled
Number of forks: 516
Total Stargazers: 4,025 (+0)
Total Subscribers: 99 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 71.3 days
Mean response time: 51.0 days
90th percentile: 81.8 days
Tracked items: 3

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Issue Activity (beta)

Open issues: 4
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 462 days
Stale 30+ days: 4
Stale 90+ days: 4

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

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Detailed Description

PinRemoteImage is an image fetching library for iOS that prioritizes thread safety and performance.

The library addresses the common problem of efficiently loading and caching remote images in iOS applications while maintaining thread safety across concurrent operations. It handles multiple image formats including GIFs, progressive JPEGs, and WebP, allowing developers to work with diverse image types without additional conversion steps. The tool manages the complexity of asynchronous image fetching, caching, and memory management so that developers can focus on their application logic rather than low-level image handling details.

Teams building iOS applications with significant image content should consider this library, particularly those dealing with varied image formats or requiring robust concurrent image loading. It suits projects where thread safety is a critical concern and where performance matters for user experience. The library's feature set makes it appropriate for applications that need to handle GIFs and progressive image formats natively rather than through workarounds.

The project shows consistent maintenance with regular updates addressing bugs and compatibility issues. Development activity demonstrates responsiveness to reported problems with timely fixes merged into the codebase. The maintainers actively review and integrate contributions from the community, indicating an open approach to external input. Work continues on expanding format support and improving the overall robustness of the image fetching pipeline.