Search Results for "java projects big"
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Showing 1555 open source projects for "java projects big"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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JSON-java
A reference implementation of a JSON package in Java
JSON is a light-weight language-independent data interchange format. The JSON-Java package is a reference implementation that demonstrates how to parse JSON documents into Java objects and how to generate new JSON documents from the Java classes. -
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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... -
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Genie
Distributed Big Data Orchestration Service
Genie is a completely open source distributed job orchestration engine developed by Netflix. Genie provides REST-ful APIs to run a variety of big data jobs like Hadoop, Pig, Hive, Spark, Presto, Sqoop and more. It also provides APIs for managing the metadata of many distributed processing clusters and the commands and applications which run on them. -
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Language support for Java for VS Code
Java Language Support for Visual Studio Code
...Users are only responsible for configuring Project JDKs to compile your Java projects. -
Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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VS Code Java Dependency
Manage Java projects in Visual Studio Code
This lightweight VS Code extension enhances the Java Project Explorer by displaying dependency trees and JARs. It complements Red Hat’s Java Language Support and simplifies dependency management. -
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Apache Log4j
Apache Log4j 2 is a versatile, feature-rich, efficient logging API
Apache Log4j is a versatile, industrial-grade Java logging framework composed of an API, its implementation, and components to assist the deployment for various use cases. Log4j is used by 8% of the Maven ecosystem and listed as one of the top 100 critical open source software projects. The project is actively maintained by a team of several volunteers and supported by a big community. -
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Wemake Django Template
Bleeding edge django template focused on code quality and security
...Development, testing, and production should have the same environment, so again we develop, test, and run our apps in docker containers. Documentation and codebase are the only sources of truth. This template is oriented on big projects, when there are multiple people working on it for a long period of time. -
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Apache HBase
Get random, realtime read/write access to your Big Data
Use Apache HBase™ when you need random, realtime read/write access to your Big Data. This project's goal is the hosting of very large tables, billions of rows X millions of columns, atop clusters of commodity hardware. Apache HBase is an open-source, distributed, versioned, non-relational database modeled after Google's Bigtable. A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, Apache... -
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From Java To Kotlin
Your Cheat Sheet For Java To Kotlin
...Examples illustrate side-by-side Java and Kotlin snippets, revealing opportunities to reduce boilerplate and improve readability. The guide includes best practices for coroutine usage, collection operations, and scoping functions that make asynchronous and functional patterns feel natural. It also discusses interoperability and migration strategies so mixed-language projects remain stable during the transition. -
99.99% Uptime for MySQL and PostgreSQL DatabasesCloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
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Apache SkyWalking Java Agent
The Java agent for Apache SkyWalking
SkyWalking-Java: The Java Agent for Apache SkyWalking, which provides native tracing/metrics/logging abilities for Java projects. SkyWalking: an APM(application performance monitor) system, specially designed for microservices, cloud-native and container-based (Docker and Kubernetes) architectures. -
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AWS SDK for Java 2.0
The official AWS SDK for Java - Version 2
...Credential providers, region resolution, retries, and paginators are redesigned with extensibility in mind, and integrations are available for common observability and HTTP client choices. For teams starting new Java projects on AWS, v2 is the default choice due to its modularity, improved ergonomics, and better runtime characteristics. -
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Apache RocketMQ
Distributed messaging and streaming platform with low latency
...Financial grade transactional message. Built-in fault tolerance and high availability configuration options base on DLedger. A variety of cross language clients, such as Java, C/C++, Python, Go. Pluggable transport protocols, such as TCP, SSL, AIO. Built-in message tracing capability, also support opentracing. Versatile big-data and streaming ecosytem integration. Message retroactivity by time or offset. Reliable FIFO and strict ordered messaging in the same queue. Efficient pull and push consumption model. ... -
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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.... -
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Apache Iceberg
Apache Iceberg
Iceberg is a high-performance format for huge analytic tables. Iceberg brings the reliability and simplicity of SQL tables to big data while making it possible for engines like Spark, Trino, Flink, Presto, Hive, and Impala to safely work with the same tables, at the same time. The core Java library that tracks table snapshots and metadata is complete, but still evolving. Current work is focused on adding row-level deletes and upserts, and integration work with new engines like Flink and Hive. ... -
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testng
TestNG testing framework
TestNG is a testing framework inspired from JUnit and NUnit but introduces some new functionalities that make it more powerful and easier to use. Run your tests in arbitrarily big thread pools with various policies available (all methods in their own thread, one thread per test class, etc...). -
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30 Seconds of Java
Collection of reusable tested Java 21 compatible code snippets
30 Seconds of Java is a curated collection of short, focused Java code snippets intended to teach small concepts quickly, similar to the popular “30 seconds of code” format in other languages. Each snippet is designed to be read and understood in under a minute, showing a single idea such as working with streams, handling optionals, manipulating collections, or doing common utility tasks. The repo targets both beginners who want bite-sized learning and experienced developers who just need a... -
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AWS SDK for Java
The official AWS SDK for Java 1.x (In Maintenance Mode
The AWS SDK for Java v1 is the long-standing, feature-complete toolkit for calling AWS services from Java applications. It provides service clients for nearly the entire AWS surface area, handling request signing, retries, pagination, and error translation so you can focus on business logic. The SDK offers both synchronous and asynchronous clients and integrates with popular HTTP stacks, credential providers, and logging frameworks. -
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Planetiler
Flexible tool to build planet-scale vector tilesets
...Planetiler packages tiles into an MBTiles (SQLite) or PMTiles file that can be served using tools like TileServer GL or Martin or even queried directly from the browser. See awesome-vector-tiles for more projects that work with data in this format. Planetiler works by mapping input elements to vector tile features, flattening them into a big list, and then sorting by tile ID to group them into tiles. -
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All-in-RAG
Big Model Application Development Practice 1
All-in-RAG is an open-source educational project designed to teach developers how to build applications using retrieval-augmented generation techniques. The repository provides a structured learning path that covers both theoretical foundations and practical implementation steps for RAG systems. It explains the full development pipeline required to create knowledge-aware AI assistants, including data preparation, document indexing, vector embedding generation, and retrieval strategies. The... -
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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... -
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Spring Initializr
A quickstart generator for Spring projects
A quickstart generator for Spring projects. The various options for the projects are expressed in a metadata model that allows you to configure the list of dependencies, supported JVM and platform versions, etc. Spring Initializr also exposes web endpoints to generate an actual project and also serve its metadata in a well-known format to allow third-party clients to provide the necessary assistance. A set of optional conventions for Spring Boot projects is provided and are used in our... -
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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... -
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Deep Java Library (DJL)
An engine-agnostic deep learning framework in Java
...You can use your existing Java expertise as an on-ramp to learn and use machine learning and deep learning. You can use your favorite IDE to build, train, and deploy your models. DJL makes it easy to integrate these models with your Java applications. Because DJL is deep learning engine agnostic, you don't have to make a choice between engines when creating your projects. -
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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... -
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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...