Showing 5 open source projects for "core"

View related business solutions
  • Our Free Plans just got better! | Auth0 Icon
    Our Free Plans just got better! | Auth0

    With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.

    You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
    Try free now
  • Context for your AI agents Icon
    Context for your AI agents

    Crawl websites, sync to vector databases, and power RAG applications. Pre-built integrations for LLM pipelines and AI assistants.

    Build data pipelines that feed your AI models and agents without managing infrastructure. Crawl any website, transform content, and push directly to your preferred vector store. Use 10,000+ tools for RAG applications, AI assistants, and real-time knowledge bases. Monitor site changes, trigger workflows on new data, and keep your AIs fed with fresh, structured information. Cloud-native, API-first, and free to start until you need to scale.
    Try for free
  • 1
    Reactor Core

    Reactor Core

    Non-Blocking Reactive Foundation for the JVM

    Reactor Core is a foundational library for building reactive applications in Java, providing a powerful API for asynchronous, non-blocking programming.
    Downloads: 6 This Week
    Last Update:
    See Project
  • 2
    Siddhi Core Libraries

    Siddhi Core Libraries

    Stream Processing and Complex Event Processing Engine

    Fully open source, cloud-native, scalable, micro streaming, and complex event processing system capable of building event-driven applications for use cases such as real-time analytics, data integration, notification management, and adaptive decision-making. Event processing logic can be written using Streaming SQL queries via graphical and source editors, to capture events from diverse data sources, process and analyze them, integrate with multiple services and data stores, and publish...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    SnappyData

    SnappyData

    Memory optimized analytics database, based on Apache Spark

    ...This is made possible by smartly managing data in memory, dynamically generating code using vectorization optimizations, and maximizing the potential of modern multi-core CPUs. SnappyData enables complex processing on large data sets in sub-second timeframes.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 4
    FLOGO

    FLOGO

    Simplify building efficient & modern serverless functions and apps

    ...All capabilities within the Flogo Ecosystem have a few things in common, they all process events (in a manner suitable for the specific purpose) and they all implement the action interface exposed by Flogo Core. Integration Flows Application Integration process engine with conditional branching and a visual development environment. A simple pipeline-based stream processing action with event joining capabilities across multiple triggers & aggregation over time windows. Microgateway pattern for conditional, content-based routing, JWT validation, rate limiting, circuit breaking and other common patterns.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Reach Your Audience with Rise Vision, the #1 Cloud Digital Signage Software Solution Icon
    Reach Your Audience with Rise Vision, the #1 Cloud Digital Signage Software Solution

    K-12 Schools, Higher Education, Businesses, Restaurants

    Rise Vision is the #1 digital signage company, offering easy-to-use cloud digital signage software compatible with any player across multiple screens. Forget about static displays. Save time and boost sales with 500+ customizable content templates for your screens. If you ever need help, get free training and exceptionally fast support.
    Learn More
  • 5
    SPar: Stream Parallelism in Multi-Cores

    SPar: Stream Parallelism in Multi-Cores

    An Embedded C++ Domain-Specific Language

    SPar is an internal C++ Domain-Specific Language (DSL) suitable to model and implement classical stream parallel patterns. The DSL uses standard C++ attributes to introduce annotations tagging the notable components of stream parallel applications: stream sources and stream processing stages. Latest version can be downloaded from the SVN using the following command: svn checkout svn://svn.code.sf.net/p/spar-dsl-compiler/svn/ spar
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next