Search Results for "event processing"
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Showing 18 open source projects for "event processing"
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Watermill
Building event-driven applications the easy way in Go
Go library for building event-driven applications. Our goal was to create a tool that is easy to understand, even by junior developers. It doesn't matter if you want to do Event-driven architecture, CQRS, Event Sourcing or just stream MySQL Binlog to Kafka. Watermill was designed to process hundreds of thousands of messages per second. Every component is built in a way that allows you to configure it for your needs. You can also implement your own middleware for the router. Watermill is... -
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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. ... -
3
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. -
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5
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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Benthos
Fancy stream processing made operationally mundane
Benthos is a high performance and resilient stream processor, able to connect various sources and sinks in a range of brokering patterns and perform hydration, enrichments, transformations and filters on payloads. It comes with a powerful mapping language, is easy to deploy and monitor, and ready to drop into your pipeline either as a static binary, docker image, or serverless function, making it cloud native as heck. Delivery guarantees can be a dodgy subject. Benthos processes and... -
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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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Asynq
Simple, reliable, and efficient distributed task queue in Go
Asynq is a Go library for queueing tasks and processing them asynchronously with workers. It's backed by Redis and is designed to be scalable yet easy to get started. Client puts tasks on a queue. Server pulls tasks off queues and starts a worker goroutine for each task. Tasks are processed concurrently by multiple workers. Task queues are used as a mechanism to distribute work across multiple machines. A system can consist of multiple worker servers and brokers, giving way to high... -
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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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Zappa - Serverless Python
Serverless Python
Zappa makes it super easy to build and deploy server-less, event-driven Python applications (including, but not limited to, WSGI web apps) on AWS Lambda + API Gateway. Think of it as "serverless" web hosting for your Python apps. That means infinite scaling, zero downtime, zero maintenance - and at a fraction of the cost of your current deployments! With a traditional HTTP server, the server is online 24/7, processing requests one by one as they come in. -
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Nuclio
High-Performance Serverless event and data processing platform
Nuclio is an open source and managed serverless platform used to minimize development and maintenance overhead and automate the deployment of data-science-based applications. Real-time performance running up to 400,000 function invocations per second. Portable across low laptops, edge, on-prem and multi-cloud deployments. The first serverless platform supporting GPUs for optimized utilization and sharing. Automated deployment to production in a few clicks from Jupyter notebook. Deploy one of... -
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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... -
14
FLOGO
Simplify building efficient & modern serverless functions and apps
Project Flogo is an ultra-light, Go-based open source ecosystem for building event-driven apps. Event-driven, you say? Yup, the notion of triggers and actions are leveraged to process incoming events. An action, a common interface, exposes key capabilities such as application integration, stream processing, etc. All capabilities within the Flogo Ecosystem have a few things in common, they all process events (in a manner suitable for the specific purpose) and they all implement the action interface exposed by Flogo Core. ... -
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Zappa
Serverless Python
Zappa makes it super easy to build and deploy serverless, event-driven Python applications (including, but not limited to, WSGI web apps) on AWS Lambda + API Gateway. Think of it as "serverless" web hosting for your Python apps. That means infinite scaling, zero downtime, zero maintenance - and at a fraction of the cost of your current deployments! With a traditional HTTP server, the server is online 24/7, processing requests one by one as they come in. -
16
giServer
giServer the easy to use and extensible batch and integration server
The giServer is an easy-to-use integration server for process automation and event-driven or scheduled execution of batch jobs. Instead of using complex XML configuration files an elaborate GUI for batch job management is included. Some possible usage scenarios are: - Automatic processing of incoming data files - Big Data applications - Process automation - Data Mining/Aggregation applications - Automatic Reporting - Processing and analysis of database records -
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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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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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