Airy
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Scio | 2,496 | 37 | a day ago | 96 | November 21, 2023 | 142 | apache-2.0 | Scala | ||
| A Scala API for Apache Beam and Google Cloud Dataflow. | ||||||||||
| Fluvio | 2,207 |  | 17 | a day ago | 22 | September 28, 2023 | 137 | apache-2.0 | Rust | |
| Lean and mean distributed stream processing system written in rust and web assembly. | ||||||||||
| Examples | 1,802 | a month ago | 642 | November 09, 2023 | 100 | apache-2.0 | Shell | |||
| Apache Kafka and Confluent Platform examples and demos | ||||||||||
| Spring Cloud Dataflow | 1,043 | 75 | 3 | 4 days ago | 30 | February 08, 2019 | 277 | apache-2.0 | Java | |
| A microservices-based Streaming and Batch data processing in Cloud Foundry and Kubernetes | ||||||||||
| Kickflip Android Sdk | 632 | 5 | 7 years ago | 10 | May 26, 2015 | 33 | apache-2.0 | Java | ||
| Kickflip Android SDK - Live Video Streaming to the Cloud | ||||||||||
| Pearplayer.js | 482 | 5 years ago | 8 | JavaScript | ||||||
| 支持WebRTC的多源多协议混合P2P-CDN的流媒体播放器 | ||||||||||
| Airy | 345 | 2 | a month ago | 303 | April 23, 2021 | 140 | apache-2.0 | Java | ||
| 💬 Open Source App Framework to build streaming apps with real-time data - 💎 Build real-time data pipelines and make real-time data universally accessible - 🤖 Join historical and real-time data in the stream to create smarter ML and AI applications. - ⚡ Standardize complex data ingestion and stream data to apps with pre-built connectors | ||||||||||
| H5stream | 337 | 5 years ago | 3 | C | ||||||
| HTML5 RTSP paly a HTML5 streaming server | ||||||||||
| Hivemq Mqtt Tensorflow Kafka Realtime Iot Machine Learning Training Inference | 159 | 3 years ago | 4 | apache-2.0 | Jupyter Notebook | |||||
| Real Time Big Data / IoT Machine Learning (Model Training and Inference) with HiveMQ (MQTT), TensorFlow IO and Apache Kafka - no additional data store like S3, HDFS or Spark required | ||||||||||
| Dataflowpythonsdk | 157 | 7 years ago | 20 | |||||||
| Google Cloud Dataflow provides a simple, powerful model for building both batch and streaming parallel data processing pipelines. | ||||||||||
Airy Core
Airy Core is an is an open-source streaming app framework to train ML models and supply them with historical and real-time data. With Airy you can process data from a variety of sources:
- Google's Business Messages
- SMS
- Website Chat Plugins, like our own open source Live Chat
- Twilio
- Any source you want with Custom Connectors
You can then use Airy to:
- Join historical and real-time data in the stream to create smarter ML and AI applications.
- Build real-time data pipelines and make real-time data universally accessible with our open-source streaming app framework.
- Standardize complex data ingestion and consume data directly from Kafka. Stream it directly to standard and customized applications, using pre-built, easily configured connectors.
- Significantly simplify deployment and reduce development times and increase the robustness of your infrastructure and apps.
Since Airy's infrastructure is built around Apache Kafka, it can process a large amount of events simultaneously and stream the relevant real-time and historical data to wherever you need it.
About Airy
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**What does Airy do? ** Learn more on our Website
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**I'm new to Airy ** Get Started with Airy
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**I'd like to read the detailed docs ** Read The Docs
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**I'm ready to install Airy ** Installation
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**I'm ready for the Airy Quickstart ** Quickstart
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**I have a question ** The Airy Community will help
Components
Airy Core comes with all the components you need to stream historical and real-time data.
- Pre-built and easily configurable connectors
By ingesting all real-time events and continuously processing, aggregating and joining them in the stream, development time can be significantly reduced. Through integrations with pre-built and easily configured connectors, events are consumed from any source, including business systems such as ERP/CRM, conversational sources, third party APIs. Airy also comes with an SDK to build custom connectors to any source.
- APIs to access your data
An API to access data with blazing fast HTTP endpoints.
- WebSockets to power real-time applications
A WebSocket server that allows clients to receive near real-time updates about data flowing through the system.
- Webhook to listen to events and create actionable workflows
A webhook integration server that allows its users to create actionable workflows (the webhook integration exposes events users can "listen" to and react programmatically.)
- UI to access the data and the control center through a browser
No-code interfaces to manage and control Airy, your connectors and your streams.
How to contribute
We welcome (and love) every form of contribution! Good entry points to the project are:
- Our contributing guide
- Issues with the tag gardening
- Issues with the tag good first patch
If you're still not sure where to start, open a new issue and we'll gladly help you get started.
Code of Conduct
To ensure a safe experience and a welcoming community, Airy Core project adheres to the contributor convenant code of conduct.
