datachain

About datachain

DataChain: The Context Layer for Unstructured Data A Python library that turns files in S3, GCS, and Azure into versioned, typed datasets, queryable at warehouse speed. Compute Engine: parallel and distributed Python over files. Async I/O, checkpoint recovery, incremental updates. Dataset DB: Pydantic schemas, versioning, file pointers, automatic lineage. Sub-second filter, join, and similarity search over hundreds of millions of records. Optional, for agent workflows: Knowledge Base: markdown summaries derived from the Dataset DB and enriched by LLM. Readable by humans and LLMs.

Quick Facts

Compatible Skills

These tools work well together with datachain for enhanced workflows:

• DataDesigner — semantic(0.33)+complementary+rare_topics+same_lang+similar_pop+shared_platform (61%)
• pydantic-resolve — semantic(0.16)+complementary+rare_topics+same_lang+similar_pop+shared_platform (55%)
• datagouv-mcp — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (53%)
• awesome-agent-harness — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (51%)
• agents — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (51%)

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Frequently Asked Questions