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A universal bridge to connect, map, and automate data transfer between any two REST APIs

Project description

ApiLinker

PyPI version License: MIT Binder Documentation

A universal bridge to connect, map, and automate data transfer between any two REST APIs.


📚 Documentation

Full documentation is available at https://kkartas.github.io/APILinker/.

🚀 Quick Install

pip install apilinker

⭐ Message Queue Connectors

Message-queue connectors are optional.

pip install apilinker[mq]

Minimal example (worker loop):

from apilinker.core.error_handling import DeadLetterQueue
from apilinker.core.message_queue import MessagePipeline, MessageWorker
from apilinker.core.message_queue_connectors import RabbitMQConnectorPlugin

consumer = RabbitMQConnectorPlugin()
producer = RabbitMQConnectorPlugin()

consumer_conn = consumer.connect(host="localhost")
producer_conn = producer.connect(host="localhost")

pipeline = MessagePipeline(
    consumer=consumer,
    producer=producer,
    dlq=DeadLetterQueue("./dlq"),
)

worker = MessageWorker(
    pipeline,
    consumer_connection=consumer_conn,
    producer_connection=producer_conn,
    source="input_queue",
    default_destination="output_queue",
)

worker.run()

🌟 Features

  • 🔄 Universal Connectivity - Connect any two REST APIs.
  • 🗺️ Powerful Mapping - Transform data with ease.
  • Event-Driven Pipelines - Optional message queue connectors (RabbitMQ, Redis Pub/Sub, AWS SQS, Kafka).
  • SSE Streaming - Built-in SSE connector with reconnection, chunked processing, and backpressure controls.
  • 🔒 Secure - Enterprise secret management (Vault, AWS, Azure, GCP).
  • 🧬 Scientific Connectors - Built-in support for NCBI, arXiv, and more.

🤝 Contributing

We welcome contributions! Please see our Contributing Guide for details.

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

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