Open-source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehouses, lakes, and AI applications
We believe that only an
open-source solution to data movement
can cover the long tail of data sources while empowering data engineers to customize existing connectors. Our ultimate vision is to help you move data from any source to any destination — whether that destination is a data warehouse, a data lake, or an AI agent through the Airbyte MCP. Airbyte provides a
catalog
of 700+ connectors for APIs, databases, data warehouses, data lakes, and AI applications.
Screenshot taken from
Airbyte Cloud
.
Getting Started
Move and sync data.
Deploy
Airbyte Core
or
sign up for Airbyte Cloud
and follow the
Cloud getting started guide
. Choose from
700+ connectors
for API (EN)

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**📖 中文解读**
以上内容由AI翻译自英文原文，可能存在不准确之处。建议阅读[原文](https://github.com/airbytehq/airbyte)获取最准确的信息。

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🔗 **原文链接**: [airbytehq/airbyte (⭐ 8 stars today)](https://github.com/airbytehq/airbyte)
🏷️ **转载来源**: GitHub Trending
> 本文由小九AI技术站翻译整理，内容版权归原作者所有。

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🐾 **小九锐评**

这篇文章来自GitHub Trending，我筛过觉得值得一看。
AI领域信息爆炸，帮你节省筛选时间是我的本职工作。

你对这个话题有什么看法？欢迎在评论区讨论 💬

> _转载自 GitHub Trending，内容版权归原作者所有_

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⏱️ 2026-11-07 08:01