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Pinterest PINCache

Apps using Pinterest PINCache

Download a list of all 24K Pinterest PINCache customers with contacts.

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App Installs Publisher Publisher Email Publisher Social Publisher Website
33M Discord, Inc. *****@discord.com - https://discord.com/
13M Viber Media SARL. *****@viber.com - http://www.viber.com/
8M Beijing Zhizhetianxia Technology Co., Ltd. *****@zhihu.com - http://daily.zhihu.com/
7M TextNow, Inc. *****@textnow.com
linkedin facebook twitter instagram
http://www.textnow.com/
5M BIGO TECHNOLOGY PTE. LTD. *****@bigo.tv
facebook twitter instagram
https://www.bigo.tv/
5M Twelve APP *****@yubo.live
linkedin twitter instagram
https://yubo.live/
4M 上海寻梦信息技术有限公司 *****@pinduoduo.com - https://kuajing.pinduoduo.com/bgb-labor-h5/license/support
2M Danggeun Market Inc. *****@karrotmarket.com
facebook instagram
https://www.daangn.com/
1M 北京华品博睿网络技术有限公司 *****@kanzhun.com
linkedin
http://www.dianzhangzhipin.com/
1M MOHALLA TECH PRIVATE LIMITED *****@sharechat.co - https://we.sharechat.com/

Full list contains 24K apps using Pinterest PINCache in the U.S, of which 21K are currently active and 4K have been updated over the past year, with publisher contacts included.

List updated on 21th August 2024

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Overview: What is Pinterest PINCache?

Pinterest PINCache is a powerful and efficient image caching system developed by the popular social media platform Pinterest. This open-source software development kit (SDK) is designed to optimize image loading and storage for iOS applications, providing developers with a robust solution for managing large volumes of visual content. PINCache is specifically tailored to handle the unique challenges of image-heavy applications, making it an ideal choice for social media platforms, e-commerce apps, and any other software that relies heavily on visual content. One of the key features of Pinterest PINCache is its ability to seamlessly integrate with existing iOS applications, allowing developers to implement advanced caching mechanisms without significant code changes. The SDK utilizes a hybrid approach to caching, combining both memory and disk storage to ensure optimal performance and resource utilization. This dual-layered caching strategy enables faster image retrieval and reduces the strain on device resources, resulting in smoother user experiences and improved app performance. PINCache employs intelligent algorithms to manage cache size and prioritize frequently accessed images, ensuring that the most relevant content is readily available to users. The SDK also supports background decoding and processing of images, which helps to minimize UI thread blockage and maintain responsive app interfaces. This feature is particularly beneficial for applications that handle large image collections or require real-time image manipulation. Another notable aspect of Pinterest PINCache is its support for concurrent operations, allowing multiple image requests to be processed simultaneously. This parallel processing capability significantly reduces loading times and enhances overall app responsiveness, especially in scenarios where numerous images need to be displayed simultaneously, such as in grid layouts or infinite scrolling feeds. The SDK also offers robust error handling and recovery mechanisms, ensuring that temporary network issues or corrupted image files do not negatively impact the user experience. PINCache automatically retries failed image downloads and implements fallback strategies to display placeholder images when necessary, maintaining a seamless visual experience for users even in challenging network conditions. Security is a top priority for Pinterest PINCache, with the SDK implementing encryption for cached data to protect sensitive information and user privacy. This feature is particularly important for applications that handle personal or confidential images, providing an additional layer of protection against unauthorized access to cached content. Developers using Pinterest PINCache benefit from its extensive documentation and active community support, making it easier to implement and troubleshoot the SDK in various project contexts. The open-source nature of PINCache also allows for customization and extension, enabling developers to tailor the caching system to their specific application requirements. In terms of performance metrics, Pinterest PINCache has been shown to significantly reduce image loading times, decrease network usage, and improve overall app responsiveness. These improvements contribute to higher user engagement, lower bounce rates, and increased user satisfaction, making PINCache a valuable tool for developers looking to optimize their image-heavy iOS applications.

Pinterest PINCache Key Features

  • PINCache is an open-source caching library developed by Pinterest for iOS and macOS applications, designed to provide efficient and thread-safe caching mechanisms for various types of data.
  • The library supports both memory and disk caching, allowing developers to store and retrieve objects quickly while managing memory usage and persistence across app launches.
  • PINCache implements a least-recently-used (LRU) eviction policy, automatically removing older or less frequently accessed items when the cache reaches its capacity limits.
  • It offers asynchronous operations for reading, writing, and removing cached objects, which helps improve app performance by preventing blocking of the main thread.
  • The library provides a simple and intuitive API, making it easy for developers to integrate caching functionality into their applications with minimal code.
  • PINCache supports storing any object that conforms to the NSCoding protocol, allowing for versatile caching of various data types, including images, JSON data, and custom objects.
  • It includes built-in support for cost-based caching, enabling developers to assign different weights to cached objects and manage overall cache size more effectively.
  • The library offers customizable cache expiration policies, allowing developers to set time-based or custom expiration rules for cached items.
  • PINCache provides thread-safe operations, ensuring that multiple threads can safely access and modify the cache concurrently without data corruption or race conditions.
  • It includes support for cache namespaces, allowing developers to create multiple independent caches within a single application for different purposes or data types.
  • The library offers automatic cache pruning mechanisms to prevent excessive disk usage and maintain optimal performance over time.
  • PINCache integrates seamlessly with other Pinterest libraries, such as PINRemoteImage, for efficient image caching and loading in iOS applications.
  • It provides options for encrypting cached data on disk, enhancing security for sensitive information stored in the cache.
  • The library supports cache migration and versioning, allowing developers to handle changes in cached object structures across app updates.
  • PINCache offers extensive configuration options, including the ability to set maximum memory and disk cache sizes, customize cache directory locations, and define cache hit/miss callbacks.
  • It includes built-in support for background cache cleaning and maintenance tasks, ensuring optimal performance without impacting the user experience.
  • The library provides detailed logging and debugging options, making it easier for developers to troubleshoot caching-related issues during development and testing.
  • PINCache offers compatibility with both Objective-C and Swift, allowing developers to use the library in projects with either language or in mixed-language codebases.
  • It includes support for cache warm-up and pre-loading, enabling developers to populate the cache with frequently accessed data at app launch or during idle times.
  • The library offers hooks for custom serialization and deserialization of cached objects, allowing developers to implement their own data compression or transformation techniques.

Pinterest PINCache Use Cases

  • PINCache is a fast and efficient caching library for iOS and macOS applications, particularly useful for image-heavy apps like social media platforms or e-commerce stores. One common use case is implementing a robust image caching system in a photo-sharing app, where PINCache can store and retrieve images quickly, reducing network requests and improving app performance. This is especially beneficial for apps that display large numbers of images in scrolling views or grids.
  • Another use case for PINCache is in offline-first applications, where it can be used to store and manage local data. For example, a news reader app could use PINCache to store article content, images, and metadata, allowing users to access previously viewed articles even when they're not connected to the internet. This enhances the user experience by providing seamless access to content regardless of network connectivity.
  • E-commerce applications can leverage PINCache to store product information, including images, descriptions, and pricing details. This can significantly improve the browsing experience for users by reducing load times and minimizing data usage. PINCache's ability to handle both memory and disk caching makes it ideal for managing large product catalogs efficiently.
  • In video streaming applications, PINCache can be utilized to cache video thumbnails, metadata, and even short video segments. This can help reduce buffering times and improve the overall playback experience for users. By intelligently managing cached data, the app can provide smoother video playback and quicker access to content.
  • Mobile game developers can use PINCache to store game assets, such as textures, sounds, and level data. This can help reduce loading times between game levels or scenes, providing a more seamless gaming experience. PINCache's thread-safe design makes it suitable for handling concurrent access to cached data in game environments.
  • For apps that rely on frequent API calls, PINCache can be used to implement a caching layer for API responses. This can help reduce the number of network requests, improve app responsiveness, and even provide some functionality when the device is offline. By caching API responses, apps can display data to users more quickly and reduce strain on backend servers.
  • In augmented reality (AR) applications, PINCache can be employed to store and manage AR assets, such as 3D models, textures, and marker data. This can help improve the performance of AR experiences by reducing load times and ensuring smooth rendering of AR content. PINCache's ability to handle large binary objects makes it well-suited for managing complex AR assets.
  • Weather applications can benefit from PINCache by storing forecast data, weather icons, and location information. This allows the app to display weather information quickly, even when the device is offline or has a poor network connection. PINCache's support for expiration policies can be used to ensure that cached weather data is refreshed at appropriate intervals.
  • In social media applications, PINCache can be used to store user profiles, posts, and engagement data. This can help improve the app's performance when users are scrolling through their feeds or viewing profiles. By caching this data, the app can provide a smoother, more responsive user experience, even when dealing with large amounts of content.
  • For map-based applications, PINCache can be used to store map tiles, points of interest, and routing information. This can significantly improve the performance of map rendering and reduce the amount of data downloaded when users are exploring different areas. PINCache's ability to manage both memory and disk caching makes it suitable for handling the large amounts of data typically associated with map applications.

Alternatives to Pinterest PINCache

  • SDWebImage: A popular open-source library for iOS that provides an async image downloader with cache support. It offers a simple and efficient way to download and cache images from the web, similar to PINCache's functionality for Pinterest.
  • Kingfisher: A lightweight and pure Swift library for downloading and caching images from the web. It offers a similar feature set to PINCache, including memory and disk caching, as well as customizable cache sizes and expiration times.
  • AlamofireImage: An image component library for Alamofire that provides image downloading, caching, and filtering functionality. It integrates seamlessly with Alamofire, making it a great choice for projects already using the popular networking library.
  • Nuke: A powerful image loading and caching system for iOS, with support for progressive image loading, memory and disk caching, and customizable processing and caching options. It offers a similar feature set to PINCache but with a more modern Swift-based approach.
  • PINRemoteImage: Another library from Pinterest that provides a robust, performant, and feature-rich image fetching, caching, and processing library for iOS. While not a direct replacement for PINCache, it offers similar functionality with additional image-specific features.
  • AFNetworking: A networking library for iOS and macOS that includes an UIImageView category for loading and caching images. While not specifically focused on image caching like PINCache, it provides a comprehensive solution for networking tasks, including image handling.
  • YYWebImage: An asynchronous image loading library for iOS that supports WebP, APNG, GIF, and more. It offers features similar to PINCache, including memory and disk caching, as well as additional image format support and processing capabilities.
  • Haneke: A lightweight generic cache for iOS written in Swift. While not specifically focused on image caching like PINCache, it provides a flexible caching solution that can be used for various types of data, including images.
  • FastImageCache: An efficient, persistent, and memory-mapped image cache for iOS. It offers high-performance image caching and retrieval, making it a suitable alternative to PINCache for projects requiring fast image loading and display.
  • TMCache: A key/value store designed for persisting temporary objects. While not specifically focused on image caching like PINCache, it provides a flexible caching solution that can be used for various types of data, including images, with both memory and disk caching support.

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