aws-parquet

Instant Kubernetes-Native Application Observability

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, and PyTorch with more integrations coming..

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).

Specification for storing geospatial vector data (point, line, polygon) in Parquet

Manipulate JSON-like data with NumPy-like idioms.

Simple Windows desktop application for viewing & querying Apache Parquet files

Multi-Modal Database replacing MongoDB, Neo4J, and Elastic with 1 faster ACID solution, with NetworkX and Pandas interfaces, and bindings for C 99, C++ 17, Python 3, Java, GoLang ?️

Manipulate arrays of complex data structures as easily as Numpy.

ParquetSharp is a .NET library for reading and writing Apache Parquet files.

deck.gl layers for rendering GeoArrow data