Instant Kubernetes-Native Application Observability
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Updated
Feb 28, 2023 - C++
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 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..
Manipulate JSON-like data with NumPy-like idioms.
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.
Geospatial extensions for Polars
Fletcher: A framework to integrate FPGA accelerators with Apache Arrow
Transactional NoSQL database with Zero-Copy Semantics, Vector Search, replaceable backends, and a vast ecosystem of bindings for C, C++, Python, Java, GoLang
Rust-based WebAssembly bindings to read and write Apache Parquet data
Pod5: a high performance file format for nanopore reads.
In-memory, columnar, arrow-based database.
A simple dataframe library for Ruby
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