Showing 2189 open source projects for "java profiler windows"

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  • 1
    HappyX

    HappyX

    Macro-oriented asynchronous web-framework written in Nim

    HappyX is a macro-oriented asynchronous web framework written in Nim, facilitating the development of web applications with a focus on performance and ease of use.
    Downloads: 0 This Week
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  • 2
    jimmer

    jimmer

    A revolutionary ORM framework for both java and kotlin.

    A revolutionary ORM framework for both Java and kotlin and a complete integrated solution. You can view everything from the documentation. Brings dynamism into static language ORM frameworks, achieving flexible capabilities for operating on complex dynamic data structures without compromising the complete compile-time safety checks of static languages, eliminating DTO explosion and unafraid of engineering expansion and changing requirements. Its innovative SQL DSL supports dynamic table...
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  • 3
    Spring Data Neo4j

    Spring Data Neo4j

    Provide support to increase developer productivity in Java

    Spring Data Neo4j, part of the larger Spring Data family, provides easy configuration and access to Neo4j Graph Databases from Spring applications. It offers three different levels of abstraction to access the store. The Neo4j client, the Neo4j Template, and the Neo4j Repositories. Spring Data Neo4j offers advanced features to map annotated entity classes to the Neo4j Graph Database. The template programming model is equivalent to other Spring templates and builds the basis for interaction...
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  • 4
    Spring PetClinic Sample Application

    Spring PetClinic Sample Application

    A Spring Framework application based on JSP, Spring MVC

    A sample project to demonstrate the capabilities of the Spring Framework, commonly used in tutorials and learning.
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  • 5
    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...
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  • 6
    Erupt Framework

    Erupt Framework

    Pure Java annotation, single class file, rapid development

    Pure Java annotation, single class file, rapid development of Admin management background. Does not generate any code, zero front-end code, zero CURD, automatic table creation, annotated API, custom service logic, supports all mainstream databases, supports custom pages, supports multiple data sources, provides more than 20 types of business components, more than a dozen It supports logical deletion, dynamic timing tasks, front-end and back-end separation, etc. Core technologies: Spring...
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  • 7
    Spring Statemachine

    Spring Statemachine

    Framework for application developers to use state machine concepts

    The Spring Statemachine project aims to provide a common infrastructure to work with state machine concepts in Spring applications. It is advised to check the actual state of this project by referring to the latest releases found on the Spring Statemachine Project Page. The git repo default branch may be relatively unstable when new features are added to the source code. Spring Statemachine uses a Gradle-based build system. In the instructions below, ./gradlew is invoked from the root of the...
    Downloads: 2 This Week
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  • 8
    Netty

    Netty

    An event-driven asynchronous network application framework

    Netty is an asynchronous, event-driven networking framework for the JVM that simplifies building high-performance clients and servers. It wraps Java NIO with a channel/handler pipeline model, enabling clean composition of codecs, TLS, and application logic with minimal overhead. Its ByteBuf abstractions, buffer pooling, and zero-copy techniques help reduce GC pressure and improve throughput under heavy I/O. Support for common protocols—HTTP/1.1, HTTP/2, WebSocket, and raw TCP/UDP—makes it a...
    Downloads: 1 This Week
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  • 9
    Vespa

    Vespa

    The open big data serving engine

    Make AI-driven decisions using your data, in real-time. At any scale, with unbeatable performance. Vespa is a full-featured text search engine and supports both regular text search and fast approximate vector search (ANN). This makes it easy to create high-performing search applications at any scale, whether you want to use traditional techniques or a modern vector-based approach. You can even combine both approaches efficiently in the same query, something no other engine can do....
    Downloads: 3 This Week
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  • 10
    Central Authentication Service (CAS)

    Central Authentication Service (CAS)

    Identity & Single Sign On for all earthlings and beyond

    Welcome to the home of the Apereo Central Authentication Service project, more commonly referred to as CAS. CAS is an enterprise multilingual single sign-on solution and identity provider for the web and attempts to be a comprehensive platform for your authentication and authorization needs. CAS is an open and well-documented authentication protocol. The primary implementation of the protocol is an open-source Java server component by the same name hosted here, with support for a plethora of...
    Downloads: 0 This Week
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  • 11
    Sakura Boot

    Sakura Boot

    Framework on top of spring-boot that helps create back-ends

    This framework, built on top of Spring Boot, is designed to speed up the development of robust backends. It ensures adherence to best practices while allowing a high degree of customization. The framework is structured using a modular architecture, making it easy to add or remove features based on the project’s specific needs. While Spring Boot speeds up the development process, developers still require extensive knowledge, must ensure adherence to best practices, and often write repetitive...
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  • 12
    WebMagic

    WebMagic

    A scalable web crawler framework for Java

    WebMagic is a scalable crawler framework. It covers the whole lifecycle of crawler, downloading, url management, content extraction and persistent. It can simplify the development of a specific crawler. WebMagic is a simple but scalable crawler framework. You can develop a crawler easily based on it. WebMagic has a simple core with high flexibility, a simple API for html extracting. It also provides annotation with POJO to customize a crawler, and no configuration is needed. Some other...
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  • 13
    The Apache Struts web framework

    The Apache Struts web framework

    Mirror of Apache Struts

    The Apache Struts web framework is a free open-source solution for creating Java web applications. Web applications differ from conventional websites in that web applications can create a dynamic response. Many websites deliver only static pages. A web application can interact with databases and business logic engines to customize a response. Web applications based on JavaServer Pages sometimes commingle database code, page design code, and control flow code. In practice, we find that unless...
    Downloads: 0 This Week
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  • 14
    Spring Data Redis

    Spring Data Redis

    Provides support to increase developer productivity in Java

    Provides support to increase developer productivity in Java when using Redis, a key-value store. Uses familiar Spring concepts such as a template class for core API usage and lightweight repository-style data access. The primary goal of the Spring Data project is to make it easier to build Spring-powered applications that use new data access technologies such as non-relational databases, map-reduce frameworks, and cloud-based data services. Connection package as low-level abstraction across...
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  • 15
    zfoo

    zfoo

    Extremely fast enterprise server framework, can be used in RPC

    zfoo is an extremely fast enterprise server framework designed for RPC systems, game servers, web servers, and distributed application backends. It combines asynchronous execution, actor-style design, lock-free architecture, and native GraalVM support to deliver high scalability. The framework supports single-server, microservice, cluster, and gateway deployment modes, making it adaptable to different production architectures. Its protocol system supports many languages, including Java,...
    Downloads: 0 This Week
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  • 16
    Spring Cloud Kubernetes

    Spring Cloud Kubernetes

    Kubernetes integration with Spring Cloud Discovery Client

    Spring Cloud Kubernetes provides implementations of well known Spring Cloud interfaces allowing developers to build and run Spring Cloud applications on Kubernetes. While this project may be useful to you when building a cloud native application, it is also not a requirement in order to deploy a Spring Boot app on Kubernetes. If you are just getting started in your journey to running your Spring Boot app on Kubernetes you can accomplish a lot with nothing more than a basic Spring Boot app...
    Downloads: 1 This Week
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  • 17
    Spring boot starter for gRPC framework

    Spring boot starter for gRPC framework

    Spring Boot starter module for gRPC framework

    Autoconfigures and runs the embedded gRPC server with @GRpcService-enabled beans as part of the spring-boot application. If you are using Spring Boot Dependency Management plugin, it might pull not the same version as the version this started was compiled against, causing binary incompatibility issue.
    Downloads: 0 This Week
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  • 18
    Apache Beam

    Apache Beam

    Unified programming model for Batch and Streaming

    Apache Beam is an open source, unified programming model to define both batch and streaming data-parallel processing pipelines, as well as certain language-specific SDKs for constructing pipelines and Runners. These pipelines are executed on one of Beam’s supported distributed processing back-ends, which include Apache Apex, Apache Flink, Apache Spark, and Google Cloud Dataflow. Beam is especially useful for Embarrassingly Parallel data processing tasks, and caters to the different needs...
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  • 19
    Apache InLong

    Apache InLong

    Apache InLong - a one-stop integration framework for massive data

    Apache InLong is a one-stop integration framework for massive data that provides automatic, secure and reliable data transmission capabilities. InLong supports both batch and stream data processing at the same time, which offers great power to build data analysis, modeling and other real-time applications based on streaming data. InLong (应龙) is a divine beast in Chinese mythology who guides the river into the sea, and it is regarded as a metaphor of the InLong system for reporting data...
    Downloads: 0 This Week
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  • 20
    Spring Data MongoDB

    Spring Data MongoDB

    Provide support to increase developer productivity in Java

    The primary goal of the Spring Data project is to make it easier to build Spring-powered applications that use new data access technologies such as non-relational databases, map-reduce frameworks, and cloud-based data services. The Spring Data MongoDB project aims to provide a familiar and consistent Spring-based programming model for new datastores while retaining store-specific features and capabilities. The Spring Data MongoDB project provides integration with the MongoDB document...
    Downloads: 0 This Week
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  • 21
    RIBs

    RIBs

    Uber's cross-platform mobile architecture framework

    RIBs is the cross-platform architecture framework behind many mobile apps at Uber. The name RIBs is short for Router, Interactor and Builder, which are core components of this architecture. This framework is designed for mobile apps with a large number of engineers and nested states. Shared architecture across iOS and Android. Build cross-platform apps that have similar architecture, enabling iOS and Android teams to cross-review business logic code. Testability and Isolation. Classes must...
    Downloads: 1 This Week
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  • 22
    Discovery

    Discovery

    Nepxion Discovery is a solution for Spring Cloud

    Nepxion Discovery is a solution for Spring Cloud with blue green, gray, route, blacklist, limitation, circuit breaker, degrade, isolation, monitor, tracing, dye, failover, async agent. Only one or more services are upgraded at a time, the upgrade is completed and monitored and observed, and this process is performed continuously until all the old versions in the cluster are upgraded to the new version. In the process of stopping the old version, it is impossible to accurately calculate...
    Downloads: 1 This Week
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  • 23
    APIJSON

    APIJSON

    Real-Time coding-free, powerful and secure ORM

    APIJSON is an open-source framework developed by Tencent that enables zero-code, real-time, and secure API development. It allows developers to perform CRUD operations through JSON-based requests without writing backend code, significantly accelerating development and reducing errors. APIJSON supports fine-grained access control, parameter validation, and seamless integration with various databases, making it a powerful tool for building scalable APIs.
    Downloads: 0 This Week
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  • 24
    Spring Cloud Tencent

    Spring Cloud Tencent

    A Spring Cloud based Service Governance Framework

    Spring Cloud Tencent is a Spring Cloud-based Service Governance Framework provided by Tencent. Spring Cloud Tencent is an one-stop microservice solution which implements the standard Spring Cloud SPI. It integrates Spring Cloud with Tencent middlewares and makes it easy to develop microservice.
    Downloads: 0 This Week
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  • 25
    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: 2 This Week
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