Search Results for "r-map"
Sort By:
47 projects for "r-map" with 2 filters applied:
-
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
-
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
-
1
Shiny
Build interactive web apps directly from R with Shiny framework
Shiny is an R package from RStudio that enables users to build interactive web applications using R without requiring knowledge of JavaScript, HTML, or CSS. It allows statisticians and data scientists to turn their analyses into fully functional web dashboards with reactive elements, data inputs, visualizations, and controls, making data communication more effective and dynamic. -
2
easystats
The R easystats-project
easystats is a meta‑package that installs and unifies a suite of R packages for post‑processing statistical models. It delivers a consistent API to assess model performance, effect sizes, parameters, and to generate reports and visualizations, all with minimal dependencies and maximum clarity. -
3
future
R package: future: Unified Parallel and Distributed Processing in R
The future package in R provides a unified abstraction for asynchronous and/or parallel computation. It allows R expressions to be scheduled for future evaluation, with the result retrieved later, in a way decoupled from the specific backend used. This lets code be written in a way that works with sequential execution, multicore, multisession, cluster, or remote compute backends, without changing the high-level code. -
4
Apache Sedona
Cluster computing framework for processing large-scale geospatial data
...According to our benchmark and third-party research papers, Sedona has 50% less peak memory consumption than other Spark-based geospatial data systems for large-scale in-memory query processing. Sedona offers Scala, Java, Spatial SQL, Python, and R APIs and integrates them into underlying system kernels with care. You can simply create spatial analytics and data mining applications and run them in any cloud environments. -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
-
5
Apache Spark
A unified analytics engine for large-scale data processing
...The built-in MLlib library provides scalable machine learning algorithms, while GraphX enables graph computations integrated with data pipelines. Spark supports multiple languages—Scala, Java, Python, R—and connects with many storage systems like HDFS, S3, Cassandra, and streaming platforms like Kafka, making it a versatile choice for big data workloads in analytics, ETL, and data science. -
6
Blade UI Kit
A set of renderless components to utilise in your Laravel Blade views
Blade UI Kit is a set of renderless components to utilize in your Laravel Blade views. In all essence, it's a collection of useful utilities, connect the dots between different parts of the TALL stack. It was made for Blade, Laravel's powerful templating engine. -
7
Behat
BDD in PHP
Behat is a Behavior-Driven Development (BDD) framework for PHP that helps developers write tests in a human-readable format. It uses Gherkin syntax to describe expected application behavior and allows developers to write scenarios that map to automated tests. Behat is highly extensible, making it suitable for testing both web applications and APIs, and it is often used alongside Mink for browser automation. -
8
Lucky
A full-featured Crystal web framework that catches bugs for you
...Instead of finding bugs in QA or in production, Lucky is designed to catch as many bugs as possible at compile time. Lucky uses Action classes for handling HTTP requests and responses. The classes map the routes and parameters it handles to a response block. Lucky can generate these classes for you with ’lucky gen.action`. Using a class per action provides very solid automatic error detection, as well as the generation of routing, path, and link helpers and methods. -
9
Ktorm
A lightweight ORM framework for Kotlin with strong-typed SQL DSL
Ktorm is a lightweight and efficient ORM Framework for Kotlin directly based on pure JDBC. It provides strong-typed and flexible SQL DSL and convenient sequence APIs to reduce our duplicated effort on database operations. All the SQL statements, of course, are generated automatically. Ktorm is open source and available under the Apache 2.0 license. Please leave a star if you've found this library helpful. -
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.
-
10
TreeFrog Framework
TreeFrog Framework, High-speed C++ MVC Framework for Web Applications
...Web applications can run faster than that of scripting language because the server-side framework was written in C++/Qt. In application development, it provides an O/R mapping system and template systems on an MVC architecture, aims to achieve high productivity through the policy of convention over configuration. TreeFrog Framework is cross-platform. It runs on Windows, of course, but also on UNIX-like Operating Systems, macOS, and Linux. Using Windows open-source coding, it is possible to support Linux. ... -
11
Smallpond
A lightweight data processing framework built on DuckDB and 3FS
smallpond is a lightweight distributed data processing framework built by DeepSeek, designed to scale DuckDB workloads over clusters using their 3FS (Fire-Flyer File System) backend. The idea is to preserve DuckDB’s fast analytics engine but lift it from single-node to multi-node settings, giving you the ability to operate on large datasets (e.g. petabyte scale) without moving to a heavyweight system like Spark. Users write Python-like code (via DataFrame APIs or SQL strings) to express... -
12
golem
A Framework for Building Robust Shiny Apps
golem is an opinionated framework for developing production-grade Shiny applications in R, treating the app like a full R package. It scaffolds project structure, testing, documentation, CI/CD, and supports containerization—streamlining the build-to-deploy pipeline while enforcing clean architecture and maintainability. -
13
stkpp
C++ Statistical ToolKit
STK++ (http://www.stkpp.org) is a versatile, fast, reliable and elegant collection of C++ classes for statistics, clustering, linear algebra, arrays (with an Eigen-like API), regression, dimension reduction, etc. Some functionalities provided by the library are available in the R environment as R functions (http://cran.at.r-project.org/web/packages/rtkore/index.html). At a convenience, we propose the source packages on sourceforge. The library offers a dense set of (mostly) template classes in C++ and is suitable for projects ranging from small one-off projects to complete data mining application suites. -
14
NanoH5 (tsl2nano)
java bean / database driven zero code application framework
NanoH5 (or FullRelation) is a fullstack UI implementation framework providing a model driven design (MDA). Build a complete html5 application through a given class- or database-model without coding (coding APIs are available). -
15
Khue's Homelab
Modern self-hosting framework, fully automated from empty disk
...Homelab is a laboratory at home where you can self-host, experiment with new technologies, practice for certifications, and so on. For more information, please see the r/homelab introduction and the Home Operations Discord community (formerly known as k8s-at-home). -
16
This project aims to promote the MultiAgent Programming (MAP) approach by providing a suitable integration of tools and languages for programming the following dimensions: agents (Jason), environment (Cartago), and organisation (Moise).
-
17
Duct
Server-side application framework for Clojure
...For information on how to run and build your project, refer to the project's README.md file. The structure of the application is defined by an Integrant configuration map. Namespaces should group functions by purpose, rather than by layer. -
18
MMORPG
MMORPG
This MMORPG project is a Flash-based multiplayer online role-playing game engine designed for browser gameplay. It includes core components such as character movement, chat, map transitions, and simple combat systems, serving as a foundation for developing 2D online games. The codebase is suitable for learning how multiplayer mechanics work in ActionScript and supports socket-based networking. -
19
All-in-one program for creating 2D scrolling games. Compile your games into stand-alone .NET executables or customizable C# source code. The IDE and framework are build on OpenTK, which wraps OpenGL, so generated games can be cross-platform.
-
20
Mori
ClojureScript's persistent data structures and supporting API
...Load mori in your Node.js programs as you would any other module. For vectors and maps we provide efficient thaw and freeze operations. All Mori maps and sets support all the non-mutating methods of the proposed ES6 Map and Set interfaces. The main difference with the spec is that key lookup is based on value not reference. keys, values, and entries methods return the proposed mutable iterators. -
21
Layout Parser
Map fixed-length files to java objects allowing read from and write to
Parses and formats positional and CSV data into and from Java Objects based on a layout defined in xml format. Particularly useful for developers that need to integrate Java with legacy systems/languages that only understand positional data (i.e.: Cobol). -
22
Daabli is a simple cross-platform serialization framework for C++.
-
23
GeoWeb 3D Globe
Geospatial Web 3D Globe Project(To consider S.Korea market)
The goal of "GeoWeb 3D Globe" is developing 3D visualization and utilization module for geospatial data. We are conveniently wide range of developers hope to take advantage of geospatial information. Using three-dimensional spatial information service developed for web-based 3D "GeoWeb 3D Globe" The main contents of the project are as follows: 1. Based on proven open source SW(WWJava) 2. Specializing in 3D visualization of geospatial data 3. Web based service -
24
RCER is a SAP R/3 Connector for Eclipse Rich Client Platform applications. It wraps up the SAP Java Connector (JCo) in a reusable way and provides additional common functions like connection definition, login dialog and status monitoring.
-
25
R Unit test framework R functions implementing a standard Unit Testing framework, with additional code inspection and report generation tools
