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Ryan Orban

Ryan Orban

Subject
4 entries

Pipelines

Bookmarks

  1. MOL: pipeline language with auto-tracing for AI/RAG

    MOL is a pipeline programming language with auto-tracing built into the pipe operator, first-class AI types (Thought, Memory, Embedding, Chunk), and RAG as a one-liner. Transpiles to Python and JavaScript.

  2. Mazzle: Pipelines as Code for DevOps

    Mazzle is a pipelines-as-code tool for building large, complicated, consistent environments — define infrastructure and build pipelines declaratively, run them as a server. An early-generation IaC-adjacent tool predating Terraform's dominance.

  3. Data Engineering Design Patterns (DEDP)

    Data Engineering Design Patterns (DEDP) is a free online book covering canonical patterns for building data pipelines — ingestion, transformation, storage, and orchestration. Structured as a pattern catalog rather than a tutorial, useful as a reference for recurring architectural decisions.

  4. Scikit-learn Pipelines and FeatureUnions

    Zac Stewart's deep dive into composing scikit-learn Pipelines and FeatureUnions — showing how to chain preprocessing steps, branch feature transformations, and combine them back together while preventing data leakage. The definitive 2014 guide to production-ready sklearn code.

All bookmarks