Search Results for "computing"
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Showing 864 open source projects for "computing"
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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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Vectras VM
It's a Virtual Machine App for Android Which is Based on QEMU
...It functions as a complete virtual machine manager, allowing the emulation of systems such as Windows, Linux, macOS, and even other Android environments within a single app. The project is designed to push the limits of mobile hardware by leveraging modern smartphone CPUs and RAM configurations to simulate full computing environments. It includes a graphical interface and setup tools that simplify the process of creating and managing virtual machines, making it accessible beyond purely technical users. The emulator supports different architectures and integrates additional components like 3dfx wrappers to improve graphical compatibility and performance. ... -
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Zipkin
Distributed tracing system to gather timing data
Zipkin is a distributed tracing system. It helps gather timing data needed to troubleshoot latency problems in service architectures. Features include both the collection and lookup of this data. If you have a trace ID in a log file, you can jump directly to it. Otherwise, you can query based on attributes such as service, operation name, tags and duration. Some interesting data will be summarized for you, such as the percentage of time spent in a service, and whether or not operations... -
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PowerJob
Enterprise job scheduling middleware with distributed computing
...Four execution modes are supported, including stand-alone, broadcast, Map and MapReduce. Distributed computing resources could be utilized in MapReduce mode, try the magic out here! Both job dependency management and data communications between jobs are supported. Developers can write their processors in Java, Shell, Python, and will subsequently support multilingual scheduling via HTTP. -
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PolarDB-X
PolarDB-X is a cloud native distributed SQL Database
PolarDB-X is a cloud-native distributed SQL database designed to handle high concurrency, massive storage, and complex querying scenarios. It features a shared-nothing architecture that decouples computing from storage, providing scalability and flexibility for various applications. -
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Datahike
A durable Datalog implementation adaptable for distribution
Datahike is a durable Datalog database powered by an efficient Datalog query engine. This project started as a port of DataScript to the hitchhiker-tree. All DataScript tests are passing, but we are still working on the internals. Having said this we consider Datahike usable for medium sized projects, since DataScript is very mature and deployed in many applications and the hitchhiker-tree implementation is heavily tested through generative testing. We are building on the two projects and... -
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ShardingSphere
Distributed database ecosphere
Apache ShardingSphere is an open-source ecosystem consisted of a set of distributed database solutions, including 3 independent products, JDBC, Proxy & Sidecar (Planning). They all provide functions of data scale out, distributed transaction and distributed governance, applicable in a variety of situations such as Java isomorphism, heterogeneous language and cloud native. Apache ShardingSphere aiming at reasonably making full use of the computation and storage capacity of existed database in... -
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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 query workloads. ... -
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Infinispan
Infinispan is an open source data grid platform
Infinispan is a distributed in-memory data grid and caching system designed for high-performance computing. It allows applications to scale dynamically by distributing data across multiple nodes, reducing latency and improving resilience. -
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LWJGL
Java library that enables cross-platform access to popular native APIs
LWJGL is a Java library that enables cross-platform access to popular native APIs useful in the development of graphics (OpenGL, Vulkan), audio (OpenAL) and parallel computing (OpenCL) applications. This access is direct and high-performance, yet also wrapped in a type-safe and user-friendly layer, appropriate for the Java ecosystem. LWJGL is an enabling technology and provides low-level access. It is not a framework and does not provide higher-level utilities than what the native libraries expose. As such, novice programmers are encouraged to try one of the frameworks or game engines that make use of LWJGL, before working directly with the library. -
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Apache SeaTunnel
SeaTunnel is a distributed, high-performance data integration platform
...Data synchronization needs to support various synchronization scenarios such as offline-full synchronization, offline-incremental synchronization, CDC, real-time synchronization, and full database synchronization. Existing data integration and data synchronization tools often require vast computing resources or JDBC connection resources to complete real-time synchronization of massive small tables. -
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Micronaut
Micronaut Application Framework
...With Micronaut you can build message-driven applications, command-line applications, HTTP servers, and more whilst for Microservices in particular Micronaut also provides distributed configuration. This is achieved by pre-computing the framework infrastructure at compilation time which reduces the logic required at runtime for the application to work. Compatible with Java, Groovy, and Kotlin, with Scala on the roadmap. -
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Apache CloudStack
Apache CloudStack is an opensource Infrastructure as a Service (IaaS)
Apache CloudStack is open source software designed to deploy and manage large networks of virtual machines, as a highly available, highly scalable Infrastructure as a Service (IaaS) cloud computing platform. CloudStack is used by a number of service providers to offer public cloud services, and by many companies to provide an on-premises (private) cloud offering, or as part of a hybrid cloud solution. CloudStack is a turnkey solution that includes the entire "stack" of features most organizations want with an IaaS cloud: compute orchestration, Network-as-a-Service, user and account management, a full and open native API, resource accounting, and a first-class User Interface (UI). ... -
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Fury
A blazing fast multi-language serialization framework
...In serialization scenarios, Fury can achieve a 100x speed up compared to traditional serialization frameworks. If you use Java clusters on a large scale, this will save a lot of computing resources. -
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Angel
A Flexible and Powerful Parameter Server for large-scale ML
Angel is a high-performance distributed machine learning and graph computing platform based on the philosophy of Parameter Server. It is tuned for performance with big data from Tencent and has a wide range of applicability and stability, demonstrating an increasing advantage in handling higher-dimension models. Angel is jointly developed by Tencent and Peking University, taking account of both high availability in industry and innovation in academia. -
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openQRM - Cloud Computing Platform
Get latest Edition here: http://www.openqrm-enterprise.com.
openQRM is a web-based open source datacenter management and hybrid cloud computing platform that integrates flexibly with existing components in enterprise data centers. Releases available at https://github.com/openQRM/openqrm-community. Please visit http://www.openqrm-enterprise.com for latest 5.3 free Community Release. Includes important security updates, bugfixes and enhancements especially for KVM and Cloud plugin. -
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Apache Seata
High-performance, open source distributed transaction solution
Seata is a distributed transaction solution for microservices that provides consistent, cross-service commits without forcing every team to adopt the same persistence model. Its architecture separates responsibilities into a global coordinator and per-service participants, so business services remain decoupled while transactions are orchestrated centrally. Multiple modes are supported—AT (automatic, SQL-based with undo logs), TCC (try-confirm-cancel), Saga (long-running compensation), and... -
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ObjectBox Java Database
Java and Android Database - fast and lightweight without any ORM
High-performance NoSQL database with integrated Data Sync for decentralized Edge Computing. Get fast access to the data you need across Embedded Devices, IoT, and Mobile. ObjectBox is 10x faster than any alternative, with high-speed data ingestion that increases response times. Check out our benchmarks. ObjectBox’ out-of-the-box synchronization makes data available when needed where needed, eliminating data islands and improving data flow. -
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Smile
Statistical machine intelligence and learning engine
Smile is a fast and comprehensive machine learning engine. With advanced data structures and algorithms, Smile delivers the state-of-art performance. Compared to this third-party benchmark, Smile outperforms R, Python, Spark, H2O, xgboost significantly. Smile is a couple of times faster than the closest competitor. The memory usage is also very efficient. If we can train advanced machine learning models on a PC, why buy a cluster? Write applications quickly in Java, Scala, or any JVM... -
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Advanced Trigonometry Calculator
Open-source C/C++ math engine for advanced scientific computing
Advanced Trigonometry Calculator (ATC) is an open-source mathematical computing engine written mainly in C/C++. Created in 2011 and maintained by Renato Alexandre dos Santos Freitas, ATC is designed as a practical Windows desktop application for advanced calculations, automation, and technical problem solving. ATC supports equation solving, polynomial tools, complex numbers, matrix calculations, statistics, physics, geometry, unit conversions, DSP/FFT operations, and scripting. ... -
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UNICORE
UNiform Interface to COmputing and data REsources
UNICORE is a software suite for building federated systems, providing secure and seamless access to heterogeneous resource such as compute clusters and file systems. UNICORE deals with authentication, user mapping and authorization, and provides a comprehensive set of RESTful APIs for HPC access and workflows. Contributors: visit https://github.com/UNICORE-EU -
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OpenHMS brands a collection of projects and many subprojects developed by Health Market Science. This is a robust collection of development libraries, APIs, and tools oriented around data manipulation and professional software development.
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FRODO 2
Open-Source Framework for Distributed Constraint Optimization (DCOP)
FRODO is a Java platform to solve Distributed Constraint Satisfaction Problems (DisCSPs) and Optimization Problems (DCOPs). It provides implementations for a variety of algorithms, including DPOP (and its variants), ADOPT, SynchBB, DSA... -
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Java Multiprocessing
Java explicit multiprocessing, SSI and cluster management tool
▪ JMP library allows to do multiprocessing in Java with a simple API that resembles Java multithreading. JMP allows running a piece of Java code on a separate process either locally or on remote machine. ▪ If the code in question is not present on the target machine, it can be dynamically uploaded. ▪ JMP allows setting affinity for a new process explicitly instead of relying on the OS. ▪ JMP also contains a simple cluster management / load balancing tool called JMP node. ▪ JMP = SSI +... -
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eBus
Publish/Subscribe, Request/Reply Messaging API for Java.
A Java middleware API supporting broker-less, type+topic-based publish/subscribe and request/reply messaging for both intra- and inter-application, object-level communication. Broker-less: messages are transmitted directly between eBus applications. There is no message broker (i.e. server) in between. Type+topic addressing: eBus clients subscribe to a message class (type) and message topic, providing stronger typing than just topic-based subscriptions. Object-level communication:... -
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In addition to computing co-expression clusters, Maccu fishes potential co-expressed genes for a given bait set. All results can be further processed via graph-level operations so that we can compare graphs based on different reference data.
