eto-ai/lance

Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, with more integrations coming..

RustPythonJupyter NotebookCShellCMakeOtherpythonrustdata-sciencemachine-learningcomputer-visiondeep-learningembeddingsdataopsdata-analyticsdata-analysisdata-formatapache-arrowdata-centricmlopsduckdbllms
This is stars and forks stats for /eto-ai/lance repository. As of 18 Apr, 2024 this repository has 2698 stars and 107 forks.

Modern columnar data format for ML. Convert from Parquet in 2-lines of code for 100x faster random access, a vector index, data versioning, and more. Compatible with pandas, DuckDB, Polars, and pyarrow with more integrations on the way. Documentation • Blog • Discord • Twitter Lance is a modern columnar data format that is optimized for ML workflows and datasets. Lance is perfect for: Building search engines and feature stores. Large-scale ML training requiring high performance IO and shuffles. Storing,...
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