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lance-format/lance

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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..

10 mentions on Hacker News by 6 people: 1 story, 9 comments · first 2023-05-31 · latest 2026-07-30

Mentions per year 10 mentions · busiest year 2024 (4)
20082026
  1. …lancedb's data format; Lancedb/lance works with [Pandas, DuckDB, Polars, PyArrow,]; https://github.com/lancedb/lance Narwhals' df interface (Python) https://narwhals-dev.github.io/narwhals/ substrait's portable query plans:…
  2. …[pandas, Polars, cuDF, Modin] > Lancedb/lance works with [Pandas, DuckDB, Polars, Pyarrow,]; https://github.com/lancedb/lance SymPy has Solvers for ODEs and PDEs and other libraries do convex optimization. SymPy also has lambdify to…
    comment by westurner · 2025-10-08 · in Translating Cython to Mojo, a first attempt
  3. Off the top of my head: - Vortex https://github.com/vortex-data/vortex - Lance https://github.com/lancedb/lance - Nimble https://github.com/facebookincubator/nimble There are also a bunch of ideas coming out of academia, but I don't know…
  4. …LanceDB folks), Nimble (from Meta folks, formerly known as Alpha); I think there are a few others https://github.com/lancedb/lance https://github.com/facebookincubator/nimble
  5. How does this relate to https://github.com/lancedb/lance
    comment by datascientist · 2024-11-05 · in DataChain: DBT for Unstructured Data
  6. …between [pandas, Polars, cuDF, Modin] Lancedb/lance works with [Pandas, DuckDB, Polars, Pyarrow,]; https://github.com/lancedb/lance It may already be supported through pandas?
  7. …: > lancedb/lance is faster than pandas with dtype_backend="arrow" and has a vector index From https://github.com/lancedb/lance : > Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code…
  8. How do Parquet, Lance, and Nimble compare? lancedb/lance: https://github.com/lancedb/lance : > 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…
  9. …But we are starting to see other contenders that are optimized more for lower latency like lance https://github.com/lancedb/lance
    comment by hawaiianSpork · 2023-12-30 · in Understanding Parquet, Iceberg and Data Lakehouses