Topic: data-pipeline

High-performance AI pipeline engine with a C++ core and 50+ Python-extensible nodes. Build, debug, and scale LLM workflows with 13+ model providers, 8+ vector databases, and agent orchestration, all from your IDE. Includes VS Code extension, TypeScript/Python SDKs, and Docker deployment.

Open-source inference server and production cluster for all the models your agent needs.

The typed graph between your code and whichever warehouse, table format, or query engine you've chosen — typed compiler, branches, replay, column-level lineage, compile-time contracts, per-model cost. Adapters: Databricks, Snowflake, BigQuery, DuckDB. Single static Rust binary. Apache 2.0.

SDK for robotics teams to verify the quality of their data used for AI model training.

High-performance AI pipeline engine with a C++ core and 50+ Python-extensible nodes. Build, debug, and scale LLM workflows with 13+ model providers, 8+ vector databases, and agent orchestration, all from your IDE. Includes VS Code extension, TypeScript/Python SDKs, and Docker deployment.

Open-source inference server and production cluster for all the models your agent needs.

The typed graph between your code and whichever warehouse, table format, or query engine you've chosen — typed compiler, branches, replay, column-level lineage, compile-time contracts, per-model cost. Adapters: Databricks, Snowflake, BigQuery, DuckDB. Single static Rust binary. Apache 2.0.

SDK for robotics teams to verify the quality of their data used for AI model training.