Instant Kubernetes-Native Application Observability

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).

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..

❄️ Coolest database around 🧊 Embeddable column database written in Go.

Manipulate JSON-like data with NumPy-like idioms.

Loaders for big data visualization. Website:

A Python library for fast, interactive geospatial vector data visualization in Jupyter.

Geospatial extensions for Polars

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 🗄️

Rust-based WebAssembly bindings to read and write Apache Parquet data

Specification for storing geospatial data in Apache Arrow

Infrastructures™ for Machine Learning Training/Inference in Production.

Official Julia implementation of Apache Arrow

A Rust DataFrame implementation, built on Apache Arrow

A SQLite vtable extension to read Parquet files

GeoArrow in Rust, Python, and JavaScript (WebAssembly) with vectorized geometry operations

Fletcher: A framework to integrate FPGA accelerators with Apache Arrow

Manipulate arrays of complex data structures as easily as Numpy.

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

Unified storage framework for the entire machine learning lifecycle