Developed in Rust with a focus on Python developers, Pathway streamlines the entire ML/AI project lifecycle from prototyping to production. It supports local development, notebook environments, and scaled container deployments. Pathway integrates seamlessly with live data sources such as SharePoint, Google Drive, S3, Delta Tables, Kafka, and over 300 APIs, ensuring that your data remains current and synchronized. Applications can be deployed securely using Docker or Kubernetes, whether on-premises or in any cloud environment, simplifying configurations by eliminating the need for multiple databases and compute engines.

Pathway offers flexibility through ready-to-use code templates applicable to various industries and data types, which can be customized using its extensive library of functions, connectors, and integrations. This enables safe interactions with LLMs and external asynchronous APIs, thereby enhancing your data processing capabilities. By leveraging Pathway, enterprises can unlock new use cases, streamline workflows, and achieve real-time intelligence with ease.

The container uses the community version of Pathway by default. You can access the paid features by providing the license key.