Dataframes powered by a multithreaded, vectorized query engine, written in Rust
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Updated
May 22, 2024 - Rust
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
Apache DataFusion SQL Query Engine
Gluten is a middle layer responsible for offloading JVM-based SQL engines' execution to native engines.
Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing
Rust implementation of Apache Iceberg with integration for Datafusion
Λrrow - Functional companion to Kotlin's Standard Library
🦖 Evolve your fixed-length data files into Apache Parquet, fully parallelized!
Kotlin studies. Includes Project Arrow, Kotlin Coroutines, Flows and More
A note manager application that implements a search engine for story telling texts. It feeds a UI and the idea is to show how can we, with Arrow, use its benefits to create a more robust, resilient, back-pressure resistent, innovative application with support for high capacity and high availability.
KNIME Python Integration
A toolkit for working with compressed array data
MongoDB integrations for Apache Arrow. Export MongoDB documents to numpy array, parquet files, and pandas dataframes in one line of code.
A public transport declaration calculator. It is used to automatically filter out all relevant travelling segments when travelling with a general public transport card. It receives a PDF file as an input and generates a CSV file with the results as Local Date / Complete value.
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