Showing 5 open source projects for "high"

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  • $300 Free Credits for Your Google Cloud Projects Icon
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    Stop Cyber Threats with VM-Series Next-Gen Firewall on Azure

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  • 1
    Cube

    Cube

    Universal semantic layer platform for AI, BI, spreadsheets

    ...Cube was designed to work with all SQL-enabled data sources, including cloud data warehouses like Snowflake or Google BigQuery, query engines like Presto or Amazon Athena, and application databases like Postgres. Cube has a built-in relational caching engine to provide sub-second latency and high concurrency for API requests.
    Downloads: 5 This Week
    Last Update:
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  • 2
    CocoIndex

    CocoIndex

    ETL framework to index data for AI, such as RAG

    ...It lets users index and retrieve content based on meaning rather than keywords, making it ideal for modern AI-based search applications. CocoIndex leverages vector embeddings and integrates with various models and frameworks, including OpenAI and Hugging Face, to provide high-quality semantic understanding. It’s built for transparency, ease of use, and local control over your search data, distinguishing itself from closed, black-box systems. The tool is suitable for developers working on personal knowledge bases, AI search interfaces, or private LLM applications.
    Downloads: 2 This Week
    Last Update:
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  • 3
    Discord.SortedSet

    Discord.SortedSet

    Elixir SortedSet backed by a Rust-based NIF

    SortedSet NIF is a performant and reliable sorted set data structure for Elixir, implemented in Rust using the Rustler crate to take advantage of native performance while maintaining seamless integration with the BEAM ecosystem. It provides ordering and uniqueness guarantees, with all terms stored according to Elixir’s built-in sorting rules. Internally, it uses a vector of vectors layout rather than a single vector to minimize costly reallocations, allowing efficient bucket pointer copying...
    Downloads: 0 This Week
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  • 4
    TensorBase

    TensorBase

    TensorBase is a new big data warehousing with modern efforts

    ...After thoughts, we decided to temporarily leave the general data warehousing field. For people who want to learn how a database system can be built up, or how to apply modern Rust to the high-performance field, or embed a lightweight data analysis system into your own big one. You can still try, ask or contribute to TensorBase. The committers are still around the community. We will help you in all kinds of interesting things pursued in the project by us and maybe you. We still maintain the project to look forward to meeting more database geniuses in this world, although no new feature will be added in the near future.
    Downloads: 0 This Week
    Last Update:
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  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

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  • 5
    Amadeus

    Amadeus

    Harmonious distributed data analysis in Rust

    Amadeus is a high-performance, distributed data processing framework written in Rust, designed to offer an ergonomic and safe alternative to tools like Apache Spark. It provides both streaming and batch capabilities, allowing users to work with real-time and historical data at scale. Thanks to Rust’s memory safety and zero-cost abstractions, Amadeus delivers performance gains while reducing the complexity and bugs common in large-scale data pipelines.
    Downloads: 2 This Week
    Last Update:
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