https://github.com/airyhq/airy
💬 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
https://github.com/airyhq/airy
airy bot bots cloud conversational-ai conversational-bots ingestion-platform kafka kafka-streams kubernetes natural-language-processing nlp nlu opensource streaming
Last synced: 3 months ago
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💬 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
- Host: GitHub
- URL: https://github.com/airyhq/airy
- Owner: airyhq
- License: apache-2.0
- Created: 2020-09-09T08:35:38.000Z (about 5 years ago)
- Default Branch: develop
- Last Pushed: 2025-05-21T14:56:11.000Z (5 months ago)
- Last Synced: 2025-06-04T09:10:34.098Z (4 months ago)
- Topics: airy, bot, bots, cloud, conversational-ai, conversational-bots, ingestion-platform, kafka, kafka-streams, kubernetes, natural-language-processing, nlp, nlu, opensource, streaming
- Language: Java
- Homepage: https://airy.co/docs/core
- Size: 169 MB
- Stars: 389
- Watchers: 9
- Forks: 48
- Open Issues: 146
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: code_of_conduct.md
- Codeowners: .github/CODEOWNERS
Awesome Lists containing this project
README
The open source, fully-featured, production ready
Data Platform
# Airy Core
[](https://airy.co/community/?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
[](https://docs.airy.co/)
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[](https://github.com/airyhq/airy/pulse)
[](https://github.com/airyhq/airy/blob/develop/LICENSE)
[](https://github.com/airyhq/airy/projects)
---
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:
- **Facebook**
- **WhatsApp**
- **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
- **What does Airy do? 🚀**
[Learn more on our Website](https://airy.co/)
- **I'm new to Airy 😄**
[Get Started with Airy](https://airy.co/docs/core/)
- **I'd like to read the detailed docs 📖**
[Read The Docs](https://airy.co/docs/core/)
- **I'm ready to install Airy ✨**
[Installation](https://airy.co/docs/core/getting-started/installation/introduction)
- **I'm ready for the Airy Quickstart 🚀**
[Quickstart](https://airy.co/docs/core/getting-started/quickstart)
- **I have a question ❓**
[The Airy Community will help](https://airy.co/community)
---
## Components
Airy Core comes with all the components you need to stream historical and real-time data.
- 💬 Pre-built and easily configurable [connectors](https://airy.co/docs/core/connectors/sources/introduction)
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](https://airy.co/docs/core/api/introduction) to access your data
An [API](https://airy.co/docs/core/api/introduction) to access
data with blazing fast HTTP endpoints.
- 🔌[WebSockets](https://airy.co/docs/core/api/websocket) to power real-time applications
A [WebSocket server](https://airy.co/docs/core/api/websocket) that allows
clients to receive near real-time updates about data flowing through the system.
- 🎣[Webhook](https://airy.co/docs/core/api/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](https://airy.co/docs/core/ui/overview) 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](/docs/docs/guides/contributing-to-airy.md)
- Issues with the tag
[gardening](https://github.com/airyhq/airy/issues?q=is%3Aissue+is%3Aopen+label%3Agardening)
- Issues with the tag [good first
patch](https://github.com/airyhq/airy/issues?q=is%3Aissue+is%3Aopen+label%3A%22good+first+patch%22)
If you're still not sure where to start, open a [new
issue](https://github.com/airyhq/airy/issues/new) 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](https://www.contributor-covenant.org/) [code of
conduct](/code_of_conduct.md).