MongoDB integrations for Apache Arrow. Export MongoDB documents to numpy array, parquet files, and pandas dataframes in one line of code.
-
Updated
Jun 28, 2024 - Python
MongoDB integrations for Apache Arrow. Export MongoDB documents to numpy array, parquet files, and pandas dataframes in one line of code.
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..
A Python library for fast, interactive geospatial vector data visualization in Jupyter.
C++20 idiomatic APIs for the Apache Arrow Columnar Format
❄️ Coolest database around 🧊 Embeddable column database written in Go.
A minimal Python library for Apache Arrow, connecting to the Rust arrow crate
Instant Kubernetes-Native Application Observability
Loaders for big data visualization. Website:
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).
Manipulate JSON-like data with NumPy-like idioms.
An experimental (work-in-progress) implementation of Apache Arrow
Python stream processing for analytics
TypeScript implementation of GeoArrow
ParquetSharp is a .NET library for reading and writing Apache Parquet files.
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
GeoArrow in Rust, Python, and JavaScript (WebAssembly) with vectorized geometry operations
Building block library for using Apache Arrow in Rust WebAssembly modules.
Pod5: a high performance file format for nanopore reads.
Add a description, image, and links to the apache-arrow topic page so that developers can more easily learn about it.
To associate your repository with the apache-arrow topic, visit your repo's landing page and select "manage topics."