Browse free open source Lua Redis Clients and projects below. Use the toggles on the left to filter open source Lua Redis Clients by OS, license, language, programming language, and project status.

  • Effortlessly manage macOS, iOS, iPadOS and tvOS devices across multiple clients and locations. Icon
    Effortlessly manage macOS, iOS, iPadOS and tvOS devices across multiple clients and locations.

    The Most Powerful Apple Device Management Tool for MSPs and IT Teams

    Addigy solutions accelerate Apple adoption in any environment.
    Learn More
  • Apify is a full-stack web scraping and automation platform helping anyone get value from the web. Icon
    Apify is a full-stack web scraping and automation platform helping anyone get value from the web.

    Get web data. Build automations.

    Actors are serverless cloud programs that extract data, automate web tasks, and run AI agents. Developers build them using JavaScript, Python, or Crawlee, Apify's open-source library. Build once, publish to Store, and earn when others use it. Thousands of developers do this - Apify handles infrastructure, billing, and monthly payouts.
    Learn More
  • 1
    Carmine

    Carmine

    Redis client and message queue for Clojure

    A pure-Clojure Redis client & message queue. Redis is awesome and it's getting more awesome every day. It deserves a great Clojure client. Fully documented, API with full support for the latest Redis versions. Industrial strength connection pooling. Composable, first-class command functions. Flexible, high-performance binary-safe serialization using Nippy. Simple, high-performance message queue (v2+, Redis 2.6+). Simple, high-performance distributed lock (v2+, Redis 2.6+). Pluggable compression and encryption support (v2+). Includes Tundra, an API for replicating data to an additional datastore (v2+, Redis 2.6+). You'll usually want to define a single connection pool, and one connection spec for each of your Redis servers. Note that executing multiple Redis commands in a single wcar request uses efficient Redis pipelining under the hood, and returns a pipeline reply (vector) for easy destructuring, etc.
    Downloads: 6 This Week
    Last Update:
    See Project
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