ParquetSharp is a .NET library for reading and writing Apache Parquet files.
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Updated
Jul 2, 2024 - C#
ParquetSharp is a .NET library for reading and writing Apache Parquet files.
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..
GeoArrow in Rust, Python, and JavaScript (WebAssembly) with vectorized geometry operations
A minimal Python library for Apache Arrow, connecting to the Rust arrow crate
pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
C++20 idiomatic APIs for the Apache Arrow Columnar Format
Instant Kubernetes-Native Application Observability
A Python library for fast, interactive geospatial vector data visualization in Jupyter.
Python stream processing for analytics
Loaders for big data visualization. Website:
❄️ Coolest database around 🧊 Embeddable column database written in Go.
Read specialized NGS formats as data frames in R, Python, and more.
Manipulate JSON-like data with NumPy-like idioms.
MongoDB integrations for Apache Arrow. Export MongoDB documents to numpy array, parquet files, and pandas dataframes in one line of code.
An experimental (work-in-progress) implementation of Apache Arrow
TypeScript implementation of GeoArrow
Zero-copy reading of Arrow data from WebAssembly
Rust-based WebAssembly bindings to read and write Apache Parquet data
Apache Arrow ADBC bindings for Elixir
Building block library for using Apache Arrow in Rust WebAssembly modules.
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