Showing 11 open source projects for "streaming"

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  • 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.

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  • 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.
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  • 1
    omniparser

    omniparser

    Native Golang ETL streaming parser and transform library

    Omniparser is a native Golang ETL parser that ingests input data of various formats (CSV, txt, fixed length/width, XML, EDI/X12/EDIFACT, JSON, and custom formats) in streaming fashion and transforms data into desired JSON output based on a schema written in JSON.
    Downloads: 0 This Week
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  • 2
    PHP7

    PHP7

    PHP7 / Laravel Multi-format Streaming Parser

    When it comes to parsing XML/CSV/JSON/... documents, there are 2 approaches to consider. DOM loading loads all the documents, making it easy to navigate and parse, and as such provides maximum flexibility for developers. Streaming implies iterating through the document, acts like a cursor, and stops at each element in its way, thus avoiding memory overkill. Thus, when it comes to big files, callbacks will be executed meanwhile file is downloading and will be much more efficient as far as memory is concerned.
    Downloads: 2 This Week
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  • 3
    jackson-core

    jackson-core

    Core part of Jackson that defines Streaming API

    This project contains core low-level incremental ("streaming") parser and generator abstractions used by Jackson Data Processor. It also includes the default implementation of handler types (parser, generator) that handle JSON format. The core abstractions are not JSON specific, although naming does contain 'JSON' in many places, due to historical reasons. Only packages that specifically contain the word 'json' are JSON-specific.
    Downloads: 21 This Week
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  • 4
    pmacct

    pmacct

    pmacct is a small set of multi-purpose passive network monitoring tool

    ...It can account for, classify, aggregate, replicate, and export forwarding-plane data, ie. IPv4 and IPv6 traffic; collect and correlate control-plane data via BGP and BMP; collect and correlate RPKI data; collect infrastructure data via Streaming Telemetry. Each component works both as a standalone daemon and as a thread of execution for correlation purposes (ie. enriching NetFlow with BGP data).
    Downloads: 1 This Week
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  • Desktop and Mobile Device Management Software Icon
    Desktop and Mobile Device Management Software

    It's a modern take on desktop management that can be scaled as per organizational needs.

    Desktop Central is a unified endpoint management (UEM) solution that helps in managing servers, laptops, desktops, smartphones, and tablets from a central location.
    Learn More
  • 5
    Miller

    Miller

    Miller is like awk, sed, cut, join, and sort for name-indexed data

    Miller is like awk, sed, cut, join, and sort for data formats such as CSV, TSV, JSON, JSON Lines, and positionally-indexed. With Miller, you get to use named fields without needing to count positional indices, using familiar formats such as CSV, TSV, JSON, JSON Lines, and positionally-indexed. Then, on the fly, you can add new fields which are functions of existing fields, drop fields, sort, aggregate statistically, pretty-print, and more. Miller operates on key-value-pair data while the...
    Downloads: 4 This Week
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  • 6
    jsoniter-scala

    jsoniter-scala

    Scala macros for compile-time generation of safe and ultra-fast JSON

    Scala macros for compile-time generation of safe and ultra-fast JSON codecs. This library had started from macros that reused jsoniter (json-iterator) for Java reader and writer but then the library evolved to have its own core of mechanics for parsing and serialization. The idea to generate codecs by Scala macros and main details was borrowed from Kryo Macros and adapted for the needs of the JSON domain. Validate parsed values safely with the fail-fast approach and clear reporting, provide...
    Downloads: 1 This Week
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  • 7
    DocArray

    DocArray

    The data structure for multimodal data

    ...Data in transit: optimized for network communication, ready-to-wire at anytime with fast and compressed serialization in Protobuf, bytes, base64, JSON, CSV, DataFrame. Perfect for streaming and out-of-memory data. One-stop k-NN: Unified and consistent API for mainstream vector databases.
    Downloads: 0 This Week
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  • 8
    gSOAP Toolkit

    gSOAP Toolkit

    Development toolkit for Web Services and XML data bindings for C & C++

    ...Includes WSDL/XSD schema binding and auto-coding tools, stub/skeleton compiler, Web server integration with Apache module and IIS extension, high-performance XML processing with schema validation, fast MIME/MTOM streaming, SOAP and REST Web API development, WS-* protocols (WS-Security, WS-Policy, WS-ReliableMessaging, etc), XML-RPC and JSON. Licensed under GPLv2. Visit the developer center with guides, tutorials, and examples at www.genivia.com/dev.html The documentation of the toolkit, libraries, plugins and more is available at www.genivia.com/docs.html Commercial-use licenses and expert technical support services are available at competitive pricing levels, please visit www.genivia.com/products.html
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    Downloads: 397 This Week
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  • 9
    unfetch

    unfetch

    Bare minimum 500b fetch polyfill

    ...One of the key differences is that Unfetch focuses on implementing the fetch() API, while offering minimal (yet functional) support to the other sections of the Fetch spec, like the Headers class or the Response class. Uses simple arrays instead of iterables, since arrays are iterables. No streaming, just Promisifies existing XMLHttpRequest response bodies. Use in Node.JS is handled by isomorphic-unfetch.
    Downloads: 0 This Week
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  • Smart Business Texting that Generates Pipeline Icon
    Smart Business Texting that Generates Pipeline

    Create and convert pipeline at scale through industry leading SMS campaigns, automation, and conversation management.

    TextUs is the leading text messaging service provider for businesses that want to engage in real-time conversations with customers, leads, employees and candidates. Text messaging is one of the most engaging ways to communicate with customers, candidates, employees and leads. 1:1, two-way messaging encourages response and engagement. Text messages help teams get 10x the response rate over phone and email. Business text messaging has become a more viable form of communication than traditional mediums. The TextUs user experience is intentionally designed to resemble the familiar SMS inbox, allowing users to easily manage contacts, conversations, and campaigns. Work right from your desktop with the TextUs web app or use the Chrome extension alongside your ATS or CRM. Leverage the mobile app for on-the-go sending and responding.
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  • 10
    vscode-data-preview

    vscode-data-preview

    Extension for importing, viewing, slicing, dicing, and charting JSON

    Data Preview extension for importing, viewing, slicing, dicing, charting & exporting large .json array .arrow .avro .parquet data files, .config .env .properties .ini .yml configurations files, .csv/.tsv & .xlsx/.xlsb Excel files and .md markdown tables with Perspective - streaming data analytics WebAssembly library.
    Downloads: 0 This Week
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  • 11
    DSL-JSON library

    DSL-JSON library

    High performance JVM JSON library

    Fastest JVM (Java/Android/Scala/Kotlin) JSON library with advanced compile-time data binding support. Java JSON library designed for performance. Originally built for invasive software composition with DSL Platform compiler. v1 core library was targeting Java6, while v2 targets Java8. So there is no need anymore for dsl-json-java8 project and instead, just dsl-json project should be referenced. From v2 only a single annotation processor is supported, which was previously in the java8...
    Downloads: 0 This Week
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