Search Results for "event processing"
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28 projects for "event processing" with 2 filters applied:
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Siddhi Core Libraries
Stream Processing and Complex Event Processing Engine
Fully open source, cloud-native, scalable, micro streaming, and complex event processing system capable of building event-driven applications for use cases such as real-time analytics, data integration, notification management, and adaptive decision-making. Event processing logic can be written using Streaming SQL queries via graphical and source editors, to capture events from diverse data sources, process and analyze them, integrate with multiple services and data stores, and publish output to various endpoints in real time. ... -
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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 APIs—DataStream and Table/SQL—to express transformations, joins, and stateful patterns, while specialized libraries support CEP, machine learning workflows, and connectors. ... -
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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). -
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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. -
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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GH Archive
GH Archive is a project to record the public GitHub timeline
GH Archive collects public GitHub activity and preserves it as a historical dataset for analysis. It polls GitHub’s event feed and groups the raw responses into compressed hourly JSON archives. The records cover actions such as commits, forks, issue activity, comments, and repository membership changes. Researchers can download specific hours, days, or longer periods with ordinary HTTP tools and process the events in their own systems. The dataset is also published through Google BigQuery... -
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Broadway
Concurrent and multi-stage data ingestion and data processing
...Developers can enrich pipelines with batching, concurrency control, and metrics reporting, simplifying the management of complex data ingestion and processing systems. Broadway is often used for event processing, stream handling, and background jobs, offering both performance and clarity in Elixir’s functional style. -
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Apache Spark
A unified analytics engine for large-scale data processing
...With Spark Streaming (microbatches) and Structured Streaming, it delivers low-latency event processing suitable for real-time analytics. The built-in MLlib library provides scalable machine learning algorithms, while GraphX enables graph computations integrated with data pipelines. Spark supports multiple languages—Scala, Java, Python, R—and connects with many storage systems like HDFS, S3, Cassandra, and streaming platforms like Kafka, making it a versatile choice for big data workloads in analytics, ETL, and data science. -
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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. -
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Task Scheduler
Cooperative multitasking for Arduino, ESPx, STM32, nRF and more
Cooperative multitasking for Arduino, ESPx, STM32 and other microcontrollers. A lightweight implementation of cooperative multitasking (task scheduling). An easier alternative to preemptive programming and frameworks like FreeRTOS. You mostly do not need to worry about pitfalls of concurrent processing (races, deadlocks, livelocks, resource sharing, etc.). The fact of cooperative processing takes care of such issues by design. -
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EasyExcel
Lightweight Java library developed by Alibaba for reading and writing
EasyExcel is a Java library focused on reading and writing Excel files with very low memory usage, making it suitable for large datasets that overwhelm traditional APIs. It uses streaming/event-driven parsing to avoid loading entire workbooks into memory, and it maps rows to Java objects via simple annotations. Writers support multiple sheets, custom styles, merged cells, and template-based filling so production reports remain maintainable. The API emphasizes developer ergonomics: callbacks... -
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KubeEdge
Kubernetes Native Edge Computing Framework (project under CNCF)
...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 recognition, event processing, and other high-level applications to the Edge. With business logic running at the Edge, much larger volumes of data can be secured & processed locally where the data is produced. With data processed at the Edge, the responsiveness is increased dramatically and data privacy is protected. -
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Livewire Best Practices
Laravel Livewire Best Practices
This repository is a curated list of general recommendations on how to use Laravel Livewire framework to meet enterprise concerns regarding the security, performance, and maintenance of Livewire components. Avoid passing objects to the component's public properties if possible. Use primitive types: strings, integers, arrays, etc. That's because Livewire serializes/deserializes your component's payload with each request to the server to share the state between the frontend & backend. If you... -
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go-coffeeshop
A practical event-driven microservices demo
go-coffeeshop is a sample application that demonstrates how to build scalable and maintainable systems using Go, following clean architecture principles and domain-driven design concepts. It simulates a coffee shop system, providing a realistic context for implementing business logic, APIs, and data handling. The project is structured to separate concerns clearly, with layers for domain logic, application services, infrastructure, and interfaces. It showcases best practices for building... -
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Highland
High-level streams library for Node.js and the browser
Highland is a JavaScript library designed to simplify working with streams and asynchronous data flows by providing a functional programming interface on top of Node.js streams. It allows developers to process data in a declarative and composable way, treating streams as sequences that can be transformed using familiar functional patterns such as map, filter, reduce, and flatMap. The library abstracts away much of the complexity of handling backpressure and asynchronous callbacks, enabling... -
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ButterKnife
Bind Android views and callbacks to fields and methods
ButterKnife is an annotation-based view binding library for Android that reduces boilerplate in Activities, Fragments, and custom views. Developers replace repetitive findViewById calls with BindView fields and define UI event handlers using annotations like @OnClick, with the library generating efficient binding code at compile time. Because it relies on annotation processing, there’s no reflection at runtime, keeping startup paths lean and predictable. The generated bind/unbind lifecycle helps avoid memory leaks by clearing references when views are destroyed. ... -
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XML Path Event API is a C#/.NET focussed programming interface that allows XPath style processing of XML documents in a streaming (SAX like) fashion.
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AnotherFSM
State machines for Java, FSM.
AnotherFSM is yet another implementation of state machines, a library for Java programming language. -
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Hashload
A JavaScript library to easily handle the onhashchange event
A library that is designed to allow processing the hashchange event in various browsers easily by specifying change rules and assigning callbacks to them. Has built-in support for automatic AJAX calls for ajax-based rules. Supports IE7+, Chrome 6+, Safari, Opera 10.6+ and FF3.6+. Has no dependencies. -
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ActiveInsight provides real-time detection and reaction to events and patterns. It is a platform that enables the detection of meaningful events within multiple, high frequency, event streams.
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PerMoTo is a Performance Modelling Tool suite for decision support in the capacity and performance management of distributed transaction processing systems based on Queueing Theory and Discrete Event Simulation.
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Modules for developing, configuring and running a computation based on function blocks entirely in Python. Function block based computation is a data, event and state driven approach to data processing.
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Swaf is Javascript Framework. 1. OOP Support(Multi inheritance & super call and etc...) 2. Integrated event&message processing (DOM Event & User defined event) 3. Multiplexed Ajax 4. Dynamic Scripting & Template for AJAX
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Project MOVED to Codehaus New location is http://esper.codehaus.org The Esper project aims to provide a general-purpose event processing facility in Java for complex event processing of real-time, high throughput data streams.
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NunniMCAX is a minimal (19KB) C library for parsing XML. The API recall SAX and is sequential and event-driven. The parser strives to verify that the XML is well-formed, but no validation. NunniMCAX's FSM has been generated using NunniFSMGen
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This is java State Machine Framework for all OS platforms. The framework is for modeling any event processing system as a state machine. This aims to separate the state transition and event handling logic from the business logic and let developers conce
