data-caching

A Python library for algorithmic trading and technical analysis. Integrates 7+ data providers, 50+ indicators, with smart caching to minimize API costs. Built for performance and reliability.

Efficient Python library for caching key-value iterables using LMDB, supporting high-speed data handling and multiprocessing in machine learning workflows.

Full-stack SSR app to train Next.js 14 concepts.

A Python client for UK Met Office MIDAS via CEDA Archives

A fast and modern in-memory cache library with TTL and LRU for javascript runtimes.

Cloud-Integrated Healthcare Application leveraging AWS, with Real-Time Sensor Data, Offline Persistence, and MVVM Architecture via Kotlin and Jetpack Compose

PHP Cache Lib is a simple cache library designed for caching contents, objects, arrays, strings, and more. It offers flexible backend support, allowing you to cache your data using file system, MongoDB, Memcache, or Redis.

Practice project for Tanstack Query

A C-based project inspired by Redis, focused on building a key-value store with TCP client-server communication and basic data handling.

Simplified API for querying OpenAI models with user-friendly interface... Created at https://coslynx.com

An efficient RESTful API for country & currency data, featuring asynchronous fetching from external sources, a cached database, and dynamic summary image generation. Built with Django REST Framework for the HNG Internship.

Hazelcast — independent third-party profile of a public API surface, by API Evangelist. Hazelcast is a real-time data platform that helps businesses accelerate their applications with data caching, data integration, and distributed computing. Hazelcast provides in-memory computing capabilities for high-performance, low-latency applications, exposin

Alluxio — independent third-party profile of a public API surface, by API Evangelist. Alluxio is a data platform company providing a distributed caching and data-orchestration layer that sits between compute engines and persistent storage to accelerate I/O-intensive AI/ML and analytics workloads.