datapipe

We have hosted the application datapipe in order to run this application in our online workstations with Wine or directly.

Quick description about datapipe:

Datapipe is a real-time, incremental ETL library for Python with record-level dependency tracking.

Datapipe is designed to streamline the creation of data processing pipelines. It excels in scenarios where data is continuously changing, requiring pipelines to adapt and process only the modified data efficiently. This library tracks dependencies for each record in the pipeline, ensuring minimal and efficient data processing.

Features:

• Incremental Processing: datapipe processes only new or modified data, significantly reducing computation time and resource usage.
• Real-time ETL: The library supports real-time data extraction, transformation, and loading.
• Dependency Tracking: Automatic tracking of data dependencies and processing states.
• Python Integration: Seamlessly integrates with Python applications, offering a Pythonic way to describe data pipelines.

Audience: Developers.

Programming Language: Python.
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