Search Results for "benchmark software"
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70 projects for "benchmark software" with 2 filters applied:
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Go from Data Warehouse to Data and AI platform with BigQueryBigQuery is more than a data warehouse—it's an autonomous data-to-AI platform. Use familiar SQL to train ML models, run time-series forecasts, and generate AI-powered insights with native Gemini integration. Built-in agents handle data engineering and data science workflows automatically. Get $300 in free credit, query 1 TB, and store 10 GB free monthly.
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Benchmark
A microbenchmark support library
A library to benchmark code snippets, similar to unit tests. -
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BenchmarkTools.jl
A benchmarking framework for the Julia language
BenchmarkTools makes performance tracking of Julia code easy by supplying a framework for writing and running groups of benchmarks as well as comparing benchmark results. This package is used to write and run the benchmarks found in BaseBenchmarks.jl. The CI infrastructure for automated performance testing of the Julia language is not in this package but can be found in Nanosoldier.jl. Our story begins with two packages, "Benchmarks" and "BenchmarkTrackers". The Benchmarks package... -
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JMH Gradle Plugin
Integrates the JMH benchmarking framework with Gradle
The JMH Gradle Plugin provides integration of the Java Microbenchmark Harness (JMH) into Gradle builds, enabling developers to write and run performance benchmarks directly in their projects. JMH is the de facto standard for writing accurate and reliable Java microbenchmarks, and this plugin automates tasks like generating benchmark sources, compiling them with the required JMH support classes, and packaging runnable benchmark jars. It simplifies the workflow by handling classpath setup and... -
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Recursive Language Models
General plug-and-play inference library for Recursive Language Models
RLM (short for Reinforcement Learning Models) is a modular framework that makes it easier to build, train, evaluate, and deploy reinforcement learning (RL) agents across a wide range of environments and tasks. It provides a consistent API that abstracts away many of the repetitive engineering patterns in RL research and application work, letting developers focus on modeling, experimentation, and fine-tuning rather than infrastructure plumbing. Within the framework, you can define custom... -
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Pythonic Data Structures and Algorithms
Minimal examples of data structures and algorithms in Python
The Pythonic Data Structures and Algorithms repository by keon is a hands-on collection of implementations of classical data structures and algorithms written in Python. It offers working, often well-commented code for many standard algorithmic problems — from sorting/searching to graph algorithms, dynamic programming, data structures, and more — making it a valuable resource for learning and reference. For students preparing for technical interviews, self-learners brushing up on... -
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NYC Taxi Data
Import public NYC taxi and for-hire vehicle (Uber, Lyft)
The nyc-taxi-data repository is a rich dataset and exploratory project around New York City taxi trip records. It collects and preprocesses large-scale trip datasets (fares, pickup/dropoff, timestamps, locations, passenger counts) to enable data analysis, modeling, and visualization efforts. The project includes scripts and notebooks for cleaning and filtering the raw data, memory-efficient processing for large CSV/Parquet files, and aggregation workflows (e.g. trips per hour, heatmaps of... -
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Apache Sedona
Cluster computing framework for processing large-scale geospatial data
Apache Sedona™ is a cluster computing system for processing large-scale spatial data. Sedona extends existing cluster computing systems, such as Apache Spark and Apache Flink, with a set of out-of-the-box distributed Spatial Datasets and Spatial SQL that efficiently load, process, and analyze large-scale spatial data across machines. According to our benchmark and third-party research papers, Sedona runs 2X - 10X faster than other Spark-based geospatial data systems on computation-intensive... -
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chinese-independent-developer
List of independent developer projects in China
...It also acts as a historical snapshot of the Chinese indie dev ecosystem, preserving projects even after they have stopped active development. For new indie creators, the list works as inspiration and a benchmark, illustrating a spectrum of product ideas, niches, and business models that others have tried. -
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engineering-management
A collection of inspiring resources related to engineering management
...Many entries come from experienced leaders sharing hard-won lessons, so the list doubles as a mentorship proxy for new managers. It is especially useful for individual contributors transitioning into management, or for existing managers who want to benchmark and refine their practices. -
Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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Open LLMs
A list of open LLMs available for commercial use
Open LLMs, by the same author behind applied-ml — serves as a curated directory of open large language models (LLMs) that are available for commercial or open-source use. Rather than proprietary or closed-source LLMs, this repo focuses on freely available or permissively licensed models that practitioners can download, run, fine-tune or integrate without restrictive licensing. For teams or developers interested in experimenting with LLMs but wanting to avoid vendor lock-in or licensing... -
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GoNB
GoNB, a Go Notebook Kernel for Jupyter
Go is a compiled language, but with very fast compilation, that allows one to use it in a REPL (Read-Eval-Print-Loop) fashion, by inserting a "Compile" step in the middle of the loop -- so it's a Read-Compile-Run-Print-Loop — while still feeling very interactive. GoNB leverages that compilation speed to implement a full-featured (at least it's getting there) Jupyter notebook kernel. As a side benefit it works with packages that use CGO — although it won't parse C code in the cells, so it... -
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The DaCapo Benchmark Suite
Benchmarking tool
This benchmark suite is intend as a tool for the research community. It consists of a set of open source, real world applications with non-trivial memory loads. -
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OpenDDS
OpenDDS is open source publish/subscribe middleware
OpenDDS is an open source implementation of the Object Management Group (OMG) Data Distribution Service (DDS), providing a publish/subscribe middleware solution for real-time distributed systems. OpenDDS includes development and run-time tools. Full product information, source code, documentation, build instructions, and license information are available from http://www.opendds.org. Commercial consulting, support, and training for OpenDDS are available. OpenDDS is in production use... -
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How They DevOps
A curated collection of publicly available resources
How They DevOps is a collection of public writeups, posts, and references that show how well-known companies actually implement DevOps practices in the real world. Instead of describing DevOps in the abstract, it points to concrete CI/CD setups, infrastructure choices, incident processes, and tooling stacks used by tech organizations. This gives learners and teams a reality check: DevOps at scale is opinionated, messy, and adapted to business constraints. It’s especially useful for people... -
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UVU
UVU is an extremely fast and lightweight test runner for Node.js
UVU is a lightweight, ultra-fast JavaScript test runner for Node.js and the browser created by Luke Edwards (lukeed). Its primary goal is to minimize overhead: startup time, memory usage, and complexity are all kept very low so that developers can write and run tests with minimal friction. The tool supports modern features like async/await and native ES Modules, making it suitable for modern codebases. It also supports running in browser environments, which makes it versatile for frontend... -
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CountBitsSet
minimal benchmark code for Counting Set Bits (ones) in an Integer
I was curious how much better the Algorithms, pointed out by BitTwiddling Hacks, perform than a simple Lookup Table approach... Now I think, perhaps my little investigation is interesting for others too... PS: the parallel counting Algo is about 35% faster on average on my computers than a simple LUT based solution. Also this shows nicely how different a human brain compatible solution is to a binary machine optimal solution :-) In the meantime I added other Algorithms beside... -
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Specter
Clojure(Script)'s missing piece
Specter is a powerful Clojure (and ClojureScript) library that revolutionizes navigation and manipulation of deeply nested and recursive data structures through a flexible, high-performance API beyond what vanilla Clojure offers. Specter has an extremely simple core, just a single abstraction called "navigator". Queries and transforms are done by composing navigators into a "path" precisely targeting what you want to retrieve or change. Navigators can be composed with any other navigators,... -
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Jour is designed to simplify the use of Javassist for processing multiple classes. In short Jour is simple Aspect Oriented Programming AOP framework on top of Javassist.
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benchm-ml
A benchmark of commonly used open source implementations
This repository is designed to provide a minimal benchmark framework comparing commonly used machine learning libraries in terms of scalability, speed, and classification accuracy. The focus is on binary classification tasks without missing data, where inputs can be numeric or categorical (after one-hot encoding). It targets large scale settings by varying the number of observations (n) up to millions and the number of features (after expansion) to about a thousand, to stress test different... -
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Video Nonlocal Net
Non-local Neural Networks for Video Classification
video-nonlocal-net implements Non-local Neural Networks for video understanding, adding long-range dependency modeling to 2D/3D ConvNet backbones. Non-local blocks compute attention-like responses across all positions in space-time, allowing a feature at one frame and location to aggregate information from distant frames and regions. This formulation improves action recognition and spatiotemporal reasoning, especially for classes requiring context beyond short temporal windows. The repo... -
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Assorted projects. General-purpose libraries for Python, C++, Scala, bash, and others. Meta-programming tools. System utilities. UI components. Web APIs. Configuration files. Benchmarks. Programming competition entries. And much more.
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SPARQL Query Benchmarker
A simple tool for testing SPARQL system performance and reliability
SPARQL Query Benchmarker is a simple to use tool (and API) for running any benchmark/testing you want to create against any HTTP accessible SPARQL system. -
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Opt4J
Modular Java framework for meta-heuristic optimization
Opt4J is an open source Java-based framework for evolutionary computation. It contains a set of (multi-objective) optimization algorithms such as evolutionary algorithms (including SPEA2 and NSGA2), differential evolution, particle swarm optimization, and simulated annealing. The benchmarks that are included comprise ZDT, DTLZ, WFG, and the knapsack problem. The goal of Opt4J is to simplify the evolutionary optimization of user-defined problems as well as the implementation of arbitrary... -
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OO7J is a Java version of the original OO7 benchmark (written in C++) from Mike Carey, David DeWitt and Jeff Naughton = Univ Wisconsin-Madison.The original benchmark tested ODBMS performance. This project also includes benchmarking ORM Tools
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Scertify - TechDebt Community
Benchmark code quality and measure Technical Debt of projects in Sonar
Scertify™ Refactoring Assessment is an open source component dedicated to development & QA teams that provides exclusive benchmark data on Software Quality. It automatically detects the portions of an application that can be refactored, gives valuable information on refactoring strategies, and costs. Though IT departments have matured these last 10 years and have now no doubt on the benefits of a continuous control of code quality, three major concerns were still remaining, without any tools able to effectively addressing these needs: * How to understand quality indicators, and how to compare them with the state of the art? ...
