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, 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:
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
A Python library for fast, interactive geospatial vector data visualization in Jupyter.
Specification for storing geospatial data in Apache Arrow
Infrastructures™ for Machine Learning Training/Inference in Production.
A Rust DataFrame implementation, built on Apache Arrow
A SQLite vtable extension to read Parquet files
Manipulate arrays of complex data structures as easily as Numpy.
Fletcher: A framework to integrate FPGA accelerators with Apache Arrow
GeoArrow in Rust, Python, and JavaScript (WebAssembly) with vectorized geometry operations
ParquetSharp is a .NET library for reading and writing Apache Parquet files.
Unified storage framework for the entire machine learning lifecycle
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