deepseek-ai/smallpond

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

5000 stars · 455 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Smallpond is a lightweight distributed data processing framework built on DuckDB and DeepSeek's 3FS shared file system. It lets users process petabyte-scale datasets with SQL and dataframe-style operations without running long-lived services.

Use cases

• process large parquet datasets with SQL
• sort terabytes of data across a cluster
• run distributed group-by aggregations on parquet files
• batch ETL over a shared filesystem
• repartition and transform big datasets in Python

When to choose

• you need DuckDB-style SQL processing scaled to many nodes
• you have a shared filesystem like 3FS and want no long-running services
• you want lightweight batch processing of parquet data at PB scale

When to avoid

• you need streaming or real-time processing
• you want a full Spark/Flink ecosystem with rich connectors
• you only process small datasets that fit on one machine

Facets

framework · maturity active

etl data-science database streaming big-data data-science python duckdb distributed-data-processing parquet sql 3fs dataframe data-engineering linux docker

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