Instant Kubernetes-Native Application Observability
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Updated
May 25, 2024 - C++
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, 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).
🦖 Efficiently evolve your old fixed-length data files into more modern file formats.
An experimental (work-in-progress) implementation of Apache Arrow
Apache Arrow ADBC bindings for Elixir
C++20 idiomatic APIs for the Apache Arrow Columnar Format
Loaders for big data visualization. Website:
ParquetSharp is a .NET library for reading and writing Apache Parquet files.
Manipulate JSON-like data with NumPy-like idioms.
❄️ Coolest database around 🧊 Embeddable column database written in Go.
GeoArrow in Rust, Python, and JavaScript (WebAssembly) with vectorized geometry operations
MongoDB integrations for Apache Arrow. Export MongoDB documents to numpy array, parquet files, and pandas dataframes in one line of code.
Zero-copy reading of Arrow data from WebAssembly
Interoperability between Polars and Clickhouse
deck.gl layers for rendering GeoArrow data
Rust-based WebAssembly bindings to read and write Apache Parquet data
Building block library for using Apache Arrow in Rust WebAssembly modules.
A Python library for fast, interactive geospatial vector data visualization in Jupyter.
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