Lance Format
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The Open Lakehouse Format for Multimodal AI
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lance Public
Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..
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lance-spark Public
Spark integrations for working with Lance datasets
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lance-namespace-impls Public
Lance Namespace Implementations - Apache Hive, Apache Polaris, Apache Gravitino, Unity Catalog, AWS Glue and more
lance-format/lance-namespace-impls’s past year of commit activity
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lance-duckdb Public
The lance extensions for DuckDB enable reading and writing of lance tables.
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lance-data-viewer Public
Browse Lance tables from your local machine in a simple web UI. No database to set up. Mount a folder and go.
lance-format/lance-data-viewer’s past year of commit activity
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