arrow-odbc Fill Apache Arrow arrays from ODBC data sources. This crate is build on top of the arrow and odbc-api crate and enables you to read the dat
TensorBase is a new big data warehousing with modern efforts.
A toolkit designed to be a foundation for applications to monitor their performance.
slb: sharded load balancer Like parallel --pipe --roundrobin but load balancing is performed based on input line hashing. When performing keyed aggreg
A highly efficient daemon for streaming data from Kafka into Delta Lake
crates.io database dumps Library for scripting analyses against crates.io's database dumps. These database dumps contain all information exposed by th
A Modern Real-Time Data Processing & Analytics DBMS with Cloud-Native Architecture, built to make the Data Cloud easy
ConnectorX enables you to load data from databases into Python in the fastest and most memory efficient way.
Sonos' Neural Network inference engine. This project used to be called tfdeploy, or Tensorflow-deploy-rust. What ? tract is a Neural Network inference
xaynet Xaynet: Train on the Edge with Federated Learning Want a framework that supports federated learning on the edge, in desktop browsers, integrate
Orkhon: ML Inference Framework and Server Runtime Latest Release License Build Status Downloads Gitter What is it? Orkhon is Rust framework for Machin
DEPRECATED The RFC is closed and this has been merge into TVM. TVM Runtime Frontend Support This crate provides an idiomatic Rust API for TVM runtime
Datafuse Modern Real-Time Data Processing & Analytics DBMS with Cloud-Native Architecture Datafuse is a Real-Time Data Processing & Analytics DBMS wit
black-jack While PRs are welcome, the approach taken only allows for concrete types (String, f64, i64, ...) I'm not sure this is the way to go. I want
rust-numpy Rust bindings for the NumPy C-API API documentation Latest release (possibly broken) Current Master Requirements Rust = 1.41.1 Basically,
sprs, sparse matrices for Rust sprs implements some sparse matrix data structures and linear algebra algorithms in pure Rust. The API is a work in pro
Delta S3 Loader This AWS Lambda serves a singular purpose: bring JSON files from an S3 bucket into Delta Lake. This can be highly useful for legacy or
Apache TinkerPop from Rust An example showing how to call Apache TinkerPop from Rust via Rucaja (JNI). This repository contains two directories: java
Quickwit This repository will host Quickwit, the big data search engine developed by Quickwit Inc. We will progressively polish and opensource our cod
Parquet2 This is a re-write of the official parquet crate with performance, parallelism and safety in mind. The five main differentiators in compariso
Quickstart • Docs • Guides • Integrations • Chat • Download What is Vector? Vector is a high-performance, end-to-end (agent & aggregator) observabilit
DataFusion is an extensible query execution framework, written in Rust, that uses Apache Arrow as its in-memory format.
Native Rust implementation of Apache Arrow Welcome to the implementation of Arrow, the popular in-memory columnar format, in Rust. This part of the Ar
tfrecord-rust The crate provides the functionality to serialize and deserialize TFRecord data format from TensorFlow. Features Provide both high level
Rayon Rayon is a data-parallelism library for Rust. It is extremely lightweight and makes it easy to convert a sequential computation into a parallel
Rust DataFrame A dataframe implementation in Rust, powered by Apache Arrow. What is a dataframe? A dataframe is a 2-dimensional tabular data structure
Weld Documentation Weld is a language and runtime for improving the performance of data-intensive applications. It optimizes across libraries and func
Polars Blazingly fast DataFrames in Rust & Python Polars is a blazingly fast DataFrames library implemented in Rust. Its memory model uses Apache Arro