Search Results for "java framework"
Sort By:
Showing 385 open source projects for "java framework"
View related business solutions-
Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
-
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
-
1
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... -
2
Logstash
Centralize, transform and stash your data
Logstash is a server-side data processing pipeline that dynamically ingests data from numerous sources, transforms it, and ships it to your favorite “stash” regardless of format or complexity. It supports and ingests data of all shapes, sizes and sources, dynamically transforms and prepares this data, and transports it to the output of your choice. Logstash is extensible, with over 200 plugins available to let you create and configure your pipeline how you choose. -
3
XXL-JOB
A distributed task scheduling framework
XXL-JOB is a distributed task scheduling platform for managing and executing jobs in Java-based applications. Designed for scalability and ease of use, it provides a powerful web interface for task definition, monitoring, and execution. XXL-JOB supports various scheduling strategies, distributed execution, failover, and script-based job execution. It is widely adopted in enterprise systems for background task orchestration and automation. -
4
Iced-Latte
Online Marketplace for coffee retail (Backend)
Iced-Latte (Backend) is a non-profit sandbox project where a team of IT enthusiasts are working on creating a modern marketplace for selling coffee in order to pump up their soft and hard skills and have fun working on an interesting project. It's crucial to note that we operate without financial support from any party, and we don't compensate anyone financially either. Our efforts are fuelled solely by passion and dedication. A framework for creating dynamic client-server applications,... -
Forever Free Full-Stack Observability | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
-
5
HugeGraph
A graph database that supports more than 100+ billion data
HugeGraph is a convenient, efficient, and adaptable graph database compatible with the Apache TinkerPop3 framework and the Gremlin query language. HugeGraph supports fast import performance in the case of more than 10 billion Vertices and Edges Graph, millisecond-level OLTP query capability, and can be integrated into big data platforms like Hadoop or Spark for OLAP analysis. The main scenarios of HugeGraph include correlation search, fraud detection, and knowledge graph. Not only supports... -
6
Seata
An easy-to-use, high-performance distributed transaction solution
Seata, or Simple Extensible Autonomous Transaction Architecture is an open source distributed transaction solution that brings high performance and easy-to-use distributed transaction services under a microservices architecture. It has 3 basic components: a Transaction Coordinator for maintaining the status of global and branch transactions; a Transaction Manager that defines the scope of global transaction; and a Resource Manager that manages resources being worked on by branch... -
7
XGBoost
Scalable and Flexible Gradient Boosting
...It supports regression, classification, ranking and user defined objectives, and runs on all major operating systems and cloud platforms. XGBoost works by implementing machine learning algorithms under the Gradient Boosting framework. It also offers parallel tree boosting (GBDT, GBRT or GBM) that can quickly and accurately solve many data science problems. XGBoost can be used for Python, Java, Scala, R, C++ and more. It can run on a single machine, Hadoop, Spark, Dask, Flink and most other distributed environments, and is capable of solving problems beyond billions of examples. -
8
Apache Hudi
Upserts, Deletes And Incremental Processing on Big Data
Apache Hudi (pronounced Hoodie) stands for Hadoop Upserts Deletes and Incrementals. Hudi manages the storage of large analytical datasets on DFS (Cloud stores, HDFS or any Hadoop FileSystem compatible storage). Apache Hudi is a transactional data lake platform that brings database and data warehouse capabilities to the data lake. Hudi reimagines slow old-school batch data processing with a powerful new incremental processing framework for low latency minute-level analytics. Hudi provides... -
9
ElasticJob
Distributed scheduled job framework
ElasticJob is a distributed scheduling solution consisting of two separate projects, ElasticJob-Lite and ElasticJob-Cloud. ElasticJob-Lite is a lightweight, decentralized solution that provides distributed task sharding services. ElasticJob-Cloud uses Mesos to manage and isolate resources. It uses a unified job API for each project. Developers only need code one time and can deploy at will. Support job sharding and high availability in distributed system. Scale out for throughput and... -
Try Google Cloud Risk-Free With $300 in CreditUse your credit across every product. Compute, storage, AI, analytics. When it runs out, 20+ products stay free. You only pay when you choose to.
-
10
SageMaker Spark Container
Docker image used to run data processing workloads
Apache Spark™ is a unified analytics engine for large-scale data processing. It provides high-level APIs in Scala, Java, Python, and R, and an optimized engine that supports general computation graphs for data analysis. It also supports a rich set of higher-level tools including Spark SQL for SQL and DataFrames, MLlib for machine learning, GraphX for graph processing, and Structured Streaming for stream processing. The SageMaker Spark Container is a Docker image used to run batch data processing workloads on Amazon SageMaker using the Apache Spark framework. ... -
11
ProM is the comprehensive, extensible framework for process mining. Process Mining deals with the a-posteriori analysis of (business) processes using enactment logs.
-
12
-
13
MOA - Massive Online Analysis
Big Data Stream Analytics Framework.
A framework for learning from a continuous supply of examples, a data stream. Includes classification, regression, clustering, outlier detection and recommender systems. Related to the WEKA project, also written in Java, while scaling to adaptive large scale machine learning. -
14
BSF4ooRexx850
Makes all of Java directly available to ooRexx and vice versa.
A powerful bi-directional ooRexx-Java bridge. BSF4ooRexx850 (bean scripting framework for ooRexx) supports ooRexx 5.0 or newer and Java 8 or newer, exploiting fully ooRexx (e.g. allowing Java methods to be implemented as ooRexx methods, supporting callbacks from Java to ooRexx), and Java. Camouflages Java as the dynamically typed, caseless and easy to use ooRexx: one can simply interact with any Java object and any Java class using ooRexx messages! -
15
JAF
Library for building modular, multilingual applications in Java
Simple tools for building modular, multilingual, cross-platform applications in Java. -
16
Prowide Core
Java framework for SWIFT [tm] MT (FIN) messaging
Prowide Core (previously known as WIFE) is an open source Java framework for managing SWIFT MT messages. The library key features are the comprehensive Java model for all MT message types, along a straight-forward parsing and building API. The project is active since 2006, production ready and commercially supported. For detail information on the support package options please check: https://www.prowidesoftware.com/services SWIFT is a trademark of S.W.I.F.T. ... -
17
openMAINT
Open source solution for the Property & Facility Management
openMAINT is an enterprise open source solution for the Property & Facility Management (CMMS). openMAINT helps to know and manage the inventory, maintenance, logistic and economic information related to buildings, plants and movable assets. openMAINT is a ready-to-use solution, configured with databases, workflows, reports and dashboards. The software can be gradually activated according to the needs of each organization and the available resources. openMAINT includes the... -
18
The SignServer is an application for server side signatures called by other systems. It is flexible and can be customized to specific needs. The SignServer have a ready to use TimeStamp server and signers for PDF, XML, ODF, PGP, OOXML and MRTD (ePassport DS).
-
19
Framework that aims to get high productivity in enterprise software development. It uses a layer application division model, implementing some design patterns. It also allows the development of n-tier applications with data access technology independ
-
20
Brill Software
A faster way to develop React Web Applications
The Brill Framework allows React web applications to be built quickly using a "Low Code" approach. A Content Management System (CMS) supports editing of pages containing React components. The React components communicate with each other and the Server using a middleware that's based on WebSockets. With a "No Code" solution, there's always something you require that's not support. You spend ages bending the product to your requirements or pay the supplier to provide the components... -
21
MentDB Projects
Generalized Interoperability and Strong AI
MentDB is an open-source platform driving research into next-generation AI and universal data exchange. Our architecture is built around the revolutionary Mentalese Query Language (MQL). MentDB Weak (Generalized Interoperability): A unified data layer enabling seamless data exchange and application integration (SOA, ETL, Data Quality). We eliminate data silos through a single, generalized data language. MentDB Strong (Strong AI / AGI): The framework for exploring and building Machine... -
22
Magnolia CMS
Java CMS that delivers smartphone simplicity on an enterprise scale
Magnolia is an open Java CMS that delivers smartphone simplicity on an enterprise-scale. The mobile-inspired HTML5 user interface works through customisable, task-focused Apps, a notification stream called the Pulse, and a system of Favorites for quickly accessing the workspace. Magnolia CMS allows organizations to orchestrate online services, sales and marketing across all digital channels, maximizing the impact of every touchpoint. -
23
Muse: Middleware Universal Scripting idE
Automate: WebSphere; WebLogic; JBoss; Glassfish; Tomcat; Linux, WinRM
...Use Python / Jython to automate WebSphere, WebLogic, JBoss, Glassfish and Tomcat Middleware Estates over JMX, both SSL and non-SSL + Linux SSH (agent-less) + WinRM Target all 5 servers, Linux and WinRM from the same workspace. Familiar Eclipse based Jython and Python Development IDE, pre-configured and ready to go. 4-Click Installer. Win x64, Linux WINE x64. Built-In JVM. Java 8/9/10, Amazon Corretto, JETPack13/14/16, IBM SDK Compatible. *** Now with powerful JBoss / GlassFish / Tomcat / Linux Active Auditing Framework. Tomcat / Glassfish 2 Python - Configuration Snapshots *** Infrastructure-as-Code, Code-Writing-Code Designed to Run on JETPack: https://sourceforge.net/projects/jetpack Muse.2025.06.x - Win 10 / Win11 Muse.2023.12.x - Win7 / Win8 / Win 10 / Win11 -
24
CloudI is an open-source private cloud computing framework for efficient, secure, and internal data processing. CloudI provides scaling for previously unscalable source code with efficient fault-tolerant execution of ATS, C/C++, Erlang/Elixir, Go, Haskell, Java, JavaScript/node.js, OCaml, Perl, PHP, Python, Ruby, or Rust services. The bare essentials for efficient fault-tolerant processing on a cloud!
-
25
NBi
NBi is a testing framework (add-on to NUnit)
NBi is a testing framework (add-on to NUnit) for Business Intelligence. It supports most of the relational databases (SQL server, MySQL, postgreSQL ...) and OLAP platforms (Analysis Services, Mondrian ...) but also ETL and reporting components (Microsoft technologies). The main goal of this framework is to let users create tests with a declarative approach based on an Xml syntax. By the means of NBi, you don't need to develop C# code to specify your tests! Either, you don't need Visual...
