Pathway
An open-source Python framework for building high-performance data processing pipelines that integrate seamlessly with AI and ML libraries.
Data ProcessingPython FrameworkAI PipelinesETLStream ProcessingMachine LearningOpen Source
Pathway Introduction
Pathway is an open-source Python data processing framework built specifically for AI and machine learning workflows. It excels at unifying batch and streaming data processing, making it easy to build pipelines that react to new data in real time. Data engineers and ML practitioners use Pathway for tasks like feature extraction, real-time analytics, and maintaining fresh training datasets. Its tight integration with the Python ML ecosystem and support for stateful operations make it a powerful foundation for next-generation data applications that require both speed and reliability.
Key Features
- Handles both batch and streaming data in a unified Python API
- Built-in connectors for Kafka, databases, cloud storage, and APIs
- Optimized for feature engineering and real-time ML inference workloads
- Integrates natively with popular ML libraries like PyTorch and TensorFlow
- Provides a reactive engine that automatically updates results on data change
