110 projects for "word processing for mac" with 2 filters applied:

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  • 1
    Kapacitor

    Kapacitor

    Open source framework for processing, monitoring, and alerting

    Open source framework for processing, monitoring, and alerting on time series data. Kapacitor is a real-time data processing engine for monitoring and alerting, specifically designed to work with time-series data from InfluxDB.
    Downloads: 7 This Week
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  • 2
    Apache Flink

    Apache Flink

    Stream processing framework with powerful stream

    Apache Flink is a distributed engine for stateful computations over data streams and batches, designed for low-latency processing at scale. Its core runtime executes dataflow graphs with fine-grained backpressure and checkpointing, allowing applications to recover consistently from failures. Flink’s event-time model and watermarks enable accurate out-of-order processing, windowing, and complex time semantics that typical real-time systems struggle with. Developers program against high-level...
    Downloads: 6 This Week
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  • 3
    Apache Spark

    Apache Spark

    A unified analytics engine for large-scale data processing

    Apache Spark is a unified engine for large-scale data processing, offering APIs for batch jobs, streaming, machine learning, and graph computation. It builds on resilient distributed datasets (RDDs) and the newer DataFrame/Dataset abstractions to provide fault-tolerant, in-memory computation across clusters. Spark’s execution engine handles scheduling, shuffles, caching, and data locality so users can focus on transformations rather than infrastructure plumbing. With Spark Streaming...
    Downloads: 7 This Week
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  • 4
    Membrane Core

    Membrane Core

    The core of Membrane Framework, multimedia processing framework

    membrane_core is the foundation of the Membrane multimedia framework for Elixir, providing the abstractions and runtime needed to build real-time audio and video pipelines. It models media processing as a graph of lightweight, supervised OTP processes—elements connected by links—so work is isolated, fault-tolerant, and easy to scale or reconfigure at runtime. The core defines a clear lifecycle and callback API for elements, plus concepts like buffers, events, and capabilities/format...
    Downloads: 8 This Week
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    Host LLMs in Production With On-Demand GPUs

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    Spring Batch

    Spring Batch

    Spring Batch is a framework for writing batch applications using Java

    A lightweight, comprehensive batch framework designed to enable the development of robust batch applications vital for the daily operations of enterprise systems. Spring Batch provides reusable functions that are essential in processing large volumes of records, including logging/tracing, transaction management, job processing statistics, job restart, skip, and resource management. It also provides more advanced technical services and features that will enable extremely high-volume and high...
    Downloads: 5 This Week
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  • 6
    Broadway

    Broadway

    Concurrent and multi-stage data ingestion and data processing

    Broadway is a data processing library for Elixir designed to handle high-throughput, concurrent workloads with ease. It provides an abstraction for defining pipelines that consume data from sources like RabbitMQ, Kafka, Amazon SQS, or custom producers. Each pipeline is fault-tolerant and backpressure-aware, ensuring stable throughput even under load. The library integrates seamlessly with GenStage and OTP supervision trees, making it highly resilient in production. Developers can enrich...
    Downloads: 0 This Week
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  • 7
    Hexagon

    Hexagon

    Hexagon is a microservices toolkit written in Kotlin

    Hexagon is a microservices toolkit written in Kotlin. Its purpose is to ease the building of server applications (Web applications or APIs) that run inside a cloud platform. The Hexagon Toolkit provides several libraries to build server applications. These libraries provide single standalone features and are referred to as "Ports".
    Downloads: 3 This Week
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  • 8
    Piscina

    Piscina

    A fast, efficient Node.js Worker Thread Pool implementation

    Piscina is a fast, efficient Node.js worker thread pool implementation, designed to perform heavy CPU-bound tasks in parallel, thereby improving application performance.
    Downloads: 8 This Week
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  • 9
    spacy-transformers

    spacy-transformers

    Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy

    spaCy supports a number of transfer and multi-task learning workflows that can often help improve your pipeline’s efficiency or accuracy. Transfer learning refers to techniques such as word vector tables and language model pretraining. These techniques can be used to import knowledge from raw text into your pipeline, so that your models are able to generalize better from your annotated examples. You can convert word vectors from popular tools like FastText and Gensim, or you can load in any...
    Downloads: 2 This Week
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    Ship Agents Faster

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  • 10
    Argo Workflows

    Argo Workflows

    Workflow engine for Kubernetes

    Argo Workflows is an open source container-native workflow engine for orchestrating parallel jobs on Kubernetes. Argo Workflows is implemented as a Kubernetes CRD (Custom Resource Definition). Define workflows where each step in the workflow is a container. Model multi-step workflows as a sequence of tasks or capture the dependencies between tasks using a directed acyclic graph (DAG). Easily run compute intensive jobs for machine learning or data processing in a fraction of the time using...
    Downloads: 13 This Week
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  • 11
    go-web-framework-benchmark

    go-web-framework-benchmark

    Go web framework benchmark

    go-web-framework-benchmark is a benchmark suite for comparing the performance of Go web frameworks. It was created to measure full HTTP request processing instead of only route matching speed. The project runs small real HTTP servers for many stable frameworks and tests a simple /hello endpoint. It can add configurable handler delay to simulate business work such as database calls, cache access, disk writes, socket activity, or microservice calls. The benchmark uses wrk and scripts to...
    Downloads: 1 This Week
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  • 12
    Commanded

    Commanded

    Use Commanded to build Elixir CQRS/ES applications

    Commanded is an Elixir framework for implementing CQRS (Command Query Responsibility Segregation) and Event Sourcing patterns. It provides domain-driven design tools—aggregates, commands, events, and projections—backed by an event store (e.g. PostgreSQL).
    Downloads: 5 This Week
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  • 13
    Krayin CRM

    Krayin CRM

    Free & Opensource Laravel CRM solution for SMEs and Enterprises

    Krayin CRM is a hand-tailored CRM framework built on some of the hottest open-source technologies such as Laravel (a PHP framework) and Vue.js a progressive Javascript framework. Free & Opensource Laravel CRM solution for SMEs and Enterprises for complete customer lifecycle management. We also have a forum for any type of concerns, feature requests, or discussions. Please visit: Krayin CRM Forums.
    Downloads: 20 This Week
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  • 14
    Apache Sedona

    Apache Sedona

    Cluster computing framework for processing large-scale geospatial data

    Apache Sedona™ is a cluster computing system for processing large-scale spatial data. Sedona extends existing cluster computing systems, such as Apache Spark and Apache Flink, with a set of out-of-the-box distributed Spatial Datasets and Spatial SQL that efficiently load, process, and analyze large-scale spatial data across machines. According to our benchmark and third-party research papers, Sedona runs 2X - 10X faster than other Spark-based geospatial data systems on computation-intensive...
    Downloads: 0 This Week
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  • 15
    RuleGo

    RuleGo

    Component orchestration rule engine framework for Go

    RuleGo is a high-performance, component-based rule engine implemented in Go. It’s lightweight, embeddable, orchestration-ready, and built for flexible composition of business logic into reusable components. No external middleware dependencies, efficient data processing and linkage on low-cost devices, suitable for IoT edge computing. Embedded and Standalone Deployment modes. Supports embedding RuleGo into existing applications. It can also be deployed independently as middleware, providing...
    Downloads: 7 This Week
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  • 16
    KotlinPoet

    KotlinPoet

    A Kotlin API for generating .kt source files

    KotlinPoet is a Kotlin and Java API for generating .kt source files. Source file generation can be useful when doing things such as annotation processing or interacting with metadata files (e.g., database schemas, protocol formats). By generating code, you eliminate the need to write boilerplate while also keeping a single source of truth for the metadata.
    Downloads: 3 This Week
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  • 17
    Trame

    Trame

    Weave various components and technologies into a Web App

    Developed by Kitware, trame is a Python-based framework that allows developers to create web applications with desktop-like functionality. It enables the integration of various components and technologies, such as VTK and ParaView, into web applications written entirely in Python. With best-in-class platforms at its core, trame provides complete control of 3D visualizations and data processing. Developers benefit from a write-once environment from trame. trame is an open source project...
    Downloads: 11 This Week
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  • 18
    GeoStats.jl

    GeoStats.jl

    An extensible framework for geospatial data science

    GeoStats.jl is a Julia framework for geospatial data science and geostatistical modeling. It’s fully implemented in Julia and designed to provide an extensible, high-performance stack that handles spatial domains, interpolation, simulation, learning, and visualization. The package is modular: it breaks out geometry, spatial domains, transforms, variograms, covariance models, and modeling into subpackages (e.g., GeoStatsBase, GeoStatsModels, GeoStatsTransforms). Users can represent...
    Downloads: 7 This Week
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  • 19
    dxos

    dxos

    TypeScript implementation of the DXOS protocols, SDK, toolchain

    DXOS is a decentralized operating system framework that empowers developers to build local-first, collaborative applications without relying on central servers. By providing a comprehensive SDK and toolchain, DXOS facilitates the creation of apps that prioritize user privacy, offline functionality, and seamless peer-to-peer synchronization. Its flagship application, Composer, exemplifies the platform's capabilities by enabling users to organize and sync knowledge across devices, with support...
    Downloads: 5 This Week
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  • 20
    Laravel Webhook Client

    Laravel Webhook Client

    Receive webhooks in Laravel apps

    A webhook is a way for an app to provide information to another app about a specific event. The way the two apps communicate is with a simple HTTP request. This package allows you to receive webhooks in a Laravel app. It has support for verifying signed calls, storing payloads and processing the payloads in a queued job.
    Downloads: 2 This Week
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  • 21
    Bacalhau

    Bacalhau

    Community-driven, simple, yet powerful framework

    Bacalhau is a decentralized compute platform for running jobs on data stored across distributed networks, like IPFS or Filecoin, without moving the data to centralized cloud environments. It allows developers to run containerized workloads close to where the data lives, reducing latency, cost, and privacy risks. Bacalhau supports various runtime environments and is designed to make decentralized data processing as accessible as traditional cloud computing. It’s especially useful for...
    Downloads: 5 This Week
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  • 22
    Smallpond

    Smallpond

    A lightweight data processing framework built on DuckDB and 3FS

    smallpond is a lightweight distributed data processing framework built by DeepSeek, designed to scale DuckDB workloads over clusters using their 3FS (Fire-Flyer File System) backend. The idea is to preserve DuckDB’s fast analytics engine but lift it from single-node to multi-node settings, giving you the ability to operate on large datasets (e.g. petabyte scale) without moving to a heavyweight system like Spark. Users write Python-like code (via DataFrame APIs or SQL strings) to express...
    Downloads: 0 This Week
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  • 23
    easystats

    easystats

    The R easystats-project

    easystats is a meta‑package that installs and unifies a suite of R packages for post‑processing statistical models. It delivers a consistent API to assess model performance, effect sizes, parameters, and to generate reports and visualizations, all with minimal dependencies and maximum clarity.
    Downloads: 0 This Week
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  • 24
    WeChat Bill Analysis Tool

    WeChat Bill Analysis Tool

    WeChat Bill Analysis Tool - A Visual Bill Analysis Application

    WeChat Bill Analysis Tool is an Electron-based desktop application for visualizing and analyzing WeChat Pay bill exports. It helps users understand personal spending habits, income, expenses, payment methods, transaction types, and financial patterns from exported payment data. The app presents key totals such as income, spending, net balance, transaction count, time range, and bill metadata in a more readable dashboard. It also includes charts for comparing income and expenses, analyzing...
    Downloads: 0 This Week
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  • 25
    KubeEdge

    KubeEdge

    Kubernetes Native Edge Computing Framework (project under CNCF)

    KubeEdge is built upon Kubernetes and extends native containerized application orchestration and device management to hosts at the Edge. It consists of a cloud part and an edge part, and provides core infrastructure support for networking, application deployment, and metadata synchronization between the cloud and edge. It also supports MQTT which enables edge devices to access through edge nodes. With KubeEdge it is easy to get and deploy existing complicated machine learning, image...
    Downloads: 1 This Week
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