29 Open source projects that are alternatives of or similar to scala-benchmarks

JavaScript Performance Benchmarks

benchmarking miopen

Benchmark suite to evaluate HTAP database engines

All stuff in a single repo (tests, ideas, benchmarks)

Benchmarking LINQ and alternative implementations

A database and query tool for JMH benchmark results

A comparison of skip lists written in Go

Performance shootout of various trie implementations

How fast are computers?

A simple C++ header-only library for fastest sorting of small arrays. Generates sorting networks on compile time via templates.

Leiningen plugin for jmh-clojure

⏱ Benchmarks of machine learning inference for Go

CPU Benchmarks Set

The wise choice for Ruby memoization

🚀 Cross-platform transparent benchmarks for HTTP/2 Web Servers at 2020-2023

jctools.github.io/jctools

Some benchmarks of different languages

Keep your bugs contained. A platform for studying historical software bugs.

IGUANA is a benchmark execution framework for querying HTTP endpoints and CLI Applications such as Triple Stores. Contact: [email protected]

This repository contains the implementations related to the experiments of a set of publicly available datasets that are used in the time series forecasting research space.

PheKnowLator: Heterogeneous Biomedical Knowledge Graphs and Benchmarks Constructed Under Alternative Semantic Models

Benchmarks of Bayesian Nonparametric models in Turing and other PPLs

Intelligence Task Ontology (ITO)

arewefastyet.rs - benchmarking the Rust compiler

No description or website provided.

scikit-learn_bench benchmarks various implementations of machine learning algorithms across data analytics frameworks. It currently support the scikit-learn, DAAL4PY, cuML, and XGBoost frameworks for commonly used machine learning algorithms.

Benchmarking common tasks on proteins in various languages and packages

Benchmarks for DVC

Classifies GPUs based on their 3D rendering benchmark score allowing the developer to provide sensible default settings for graphically intensive applications.