Showing 39 open source projects for "linux is"

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  • Automate contact and company data extraction Icon
    Automate contact and company data extraction

    Build lead generation pipelines that pull emails, phone numbers, and company details from directories, maps, social platforms. Full API access.

    Generate leads at scale without building or maintaining scrapers. Use 10,000+ ready-made tools that handle authentication, pagination, and anti-bot protection. Pull data from business directories, social profiles, and public sources, then export to your CRM or database via API. Schedule recurring extractions, enrich existing datasets, and integrate with your workflows.
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  • G-P - Global EOR Solution Icon
    G-P - Global EOR Solution

    Companies searching for an Employer of Record solution to mitigate risk and manage compliance, taxes, benefits, and payroll anywhere in the world

    With G-P's industry-leading Employer of Record (EOR) and Contractor solutions, you can hire, onboard and manage teams in 180+ countries — quickly and compliantly — without setting up entities.
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  • 1
    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. It emphasizes developer productivity...
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  • 2
    FLOGO

    FLOGO

    Simplify building efficient & modern serverless functions and apps

    Project Flogo is an ultra-light, Go-based open source ecosystem for building event-driven apps. Event-driven, you say? Yup, the notion of triggers and actions are leveraged to process incoming events. An action, a common interface, exposes key capabilities such as application integration, stream processing, etc. 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...
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  • 3
    ksqlDB

    ksqlDB

    The database purpose-built for stream processing applications

    Build applications that respond immediately to events. Craft materialized views over streams. Receive real-time push updates, or pull current state on demand. Seamlessly leverage your existing Apache Kafka® infrastructure to deploy stream-processing workloads and bring powerful new capabilities to your applications. Use a familiar, lightweight syntax to pack a powerful punch. Capture, process, and serve queries using only SQL. No other languages or services are required. ksqlDB enables you...
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  • 4
    DSPatch

    DSPatch

    The Refreshingly Simple C++ Dataflow Framework

    Webite: http://flowbasedprogramming.com DSPatch, pronounced "dispatch", is a powerful C++ dataflow framework. DSPatch is not limited to any particular domain or data type, from reactive programming to stream processing, DSPatch's generic, object-oriented API allows you to create virtually any dataflow system imaginable. *See also:* DSPatcher ( https://github.com/MarcusTomlinson/DSPatcher ): A cross-platform graphical tool for building DSPatch circuits. DSPatchables (...
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  • Trumba is an All-in-one Calendar Management and Event Registration platform Icon
    Trumba is an All-in-one Calendar Management and Event Registration platform

    Great for live, virtual and hybrid events

    Publish, promote and track your events more affordably and effectively—all in one place.
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  • 5
    Wally

    Wally

    Distributed Stream Processing

    Wally is a fast-stream-processing framework. Wally makes it easy to react to data in real-time. By eliminating infrastructure complexity, going from prototype to production has never been simpler. When we set out to build Wally, we had several high-level goals in mind. Create a dependable and resilient distributed computing framework. Take care of the complexities of distributed computing "plumbing," allowing developers to focus on their business logic. Provide high-performance & low-latency...
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  • 6
    Cosmos DB Spark

    Cosmos DB Spark

    Apache Spark Connector for Azure Cosmos DB

    Azure Cosmos DB Spark is the official connector for Azure CosmosDB and Apache Spark. The connector allows you to easily read to and write from Azure Cosmos DB via Apache Spark DataFrames in Python and Scala. It also allows you to easily create a lambda architecture for batch-processing, stream-processing, and a serving layer while being globally replicated and minimizing the latency involved in working with big data.
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  • 7
    Dataflow Java SDK

    Dataflow Java SDK

    Google Cloud Dataflow provides a simple, powerful model

    The Dataflow Java SDK is the open-source Java library that powers Apache Beam pipelines for Google Cloud Dataflow, a serverless and scalable platform for processing large datasets in both batch and stream modes. This SDK allows developers to write Beam-based pipelines in Java and execute them on Dataflow, taking advantage of features like autoscaling, dynamic work rebalancing, and fault-tolerant distributed processing. While it has been mostly succeeded by the unified Beam SDKs, it remains...
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  • 8
    horizon

    horizon

    Horizon is a realtime, open-source backend for JavaScript apps

    Horizon is an open-source developer platform for building sophisticated realtime apps. It provides a complete backend that makes it dramatically simpler to build, deploy, manage, and scale engaging JavaScript web and mobile apps. Horizon is extensible, integrates with the Node.js stack, and allows building modern, arbitrarily complex applications. While technologies like RethinkDB and WebSocket make it possible to build engaging realtime apps, empirically there is still too much friction for...
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  • 9
    A production stable Java utility library with convenience methods for string- and stream processing, file handling, XML, XSLTs and XPath, checksums, console formatting, and more. The project is developed by the State and University Library of Denmark
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  • Failed Payment Recovery for Subscription Businesses Icon
    Failed Payment Recovery for Subscription Businesses

    For subscription companies searching for a failed payment recovery solution to grow revenue, and retain customers.

    FlexPay’s innovative platform uses multiple technologies to achieve the highest number of retained customers, resulting in reduced involuntary churn, longer life span after recovery, and higher revenue. Leading brands like LegalZoom, Hooked on Phonics, and ClinicSense trust FlexPay to recover failed payments, reduce churn, and increase customer lifetime value.
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  • 10

    LogsGrep

    A grep-like utility for log files.

    LogsGrep is a unique, grep-like utility designed specifically to target log files containing multi-line entries. The primary target is Java log files (Log4J, common, ...), where it is very common to have multiline log entries (for example log entries with a stacktrace). It follows Unix philosophy, does only its primary job and expects its input to be generated by other more advanced tools (tail, cat, type, find...); There is no goal to be compatible with Unix grep. LogsGrep is...
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  • 11
    activeinsight
    ActiveInsight provides real-time detection and reaction to events and patterns. It is a platform that enables the detection of meaningful events within multiple, high frequency, event streams.
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  • 12
    MXQuery is a low-footprint implementation of XQuery 1.0, XQuery Update 1.0, XQuery Fulltext 1.0 and XQuery Scripting 1.0 as well as a subset of XQuery 1.1 (windowing, try/catch). It provides extensions to do data stream processing/CEP and SOAP/REST
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  • 13
    A Middleware for Distrubted Data Stream Processing
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  • 14
    Sed.py is a python module to provide a easy way to do text stream processing. Just like the name of module, it likes to do the work that sed can do. But not in sed's way, it's in Python's way. To use this module, the knowledge of regexp is necessary.
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