Show HN: Hanky – ETL style framework for loading flash cards into Anki

Description and use

**Project Summary:**

Hanky is an open-source ETL (Extract, Transform, Load) style framework for loading flashcards into Anki. This project helps convert raw data into searchable, analyzable, or automated pipelines, making it useful for organizing analytics pipelines, processing datasets, and improving reporting workflows. However, its production readiness is medium due to limited quality signals and potential risks.

**Value:**

The value proposition of Hanky lies in its ability to streamline the process of loading flashcards into Anki, making it easier to create and manage large collections of knowledge. This can be particularly useful for individuals or organizations looking to create customized learning materials or improve their reporting workflows.

**Practical Adoption Path:**

To adopt Hanky, users should start by manually inspecting the code and its dependencies to ensure it meets their specific needs. They should also verify the license, maintenance, documentation, issues, and release cadence before using it in production. This project is suitable for prototypes or internal workflows, making it a good starting point for proof-of-concepts or small-scale implementations.

**Production Readiness:**

Hanky's production readiness is rated as medium due to limited quality signals and potential risks. While it has been updated recently and has a small number of topics, users should exercise

Use in a workflow

Show HN: Hanky – ETL style framework for loading flash cards into Anki helps convert raw data into searchable, analyzable, or automated pipelines.

• organize analytics pipelines
• process datasets
• improve reporting workflows

Limitations and review notes

Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.