8 repository-uri
Integration capabilities for interacting with R data frames and sessions.
Distinct from R Language Integrations: Existing candidates are mostly about learning R or generic libraries, not direct data exploration integration.
Explore 8 awesome GitHub repositories matching data & databases · R Language Integrations. Refine with filters or upvote what's useful.
VisiData is a terminal-based interactive data analysis tool and browser designed for exploring, filtering, and sorting large tabular datasets. It functions as a structured data inspector that loads and flattens complex formats like JSON, XML, and PCAP into interactive sheets, as well as a terminal file manager for navigating directories and performing staged filesystem operations. The project distinguishes itself by rendering data visualizations, such as scatter plots and histograms, directly in the terminal using Unicode Braille characters. It provides a Python-based data wrangling environme
Provides read-only exploration of data frames directly from an active R session.
billboard.js is a JavaScript charting library built on D3.js that renders interactive data visualizations from a single declarative configuration object. It supports a wide range of chart types including bar, line, pie, scatter, area, spline, step, candlestick, funnel, gauge, heatmap, radar, polar, treemap, bubble, donut, and sparkline charts, and can overlay multiple chart types within a single visualization. The library offers an opt-in Canvas rendering mode for improved performance with large datasets and high-density axis displays, alongside its standard SVG-based rendering. The library d
Provides R bindings for creating interactive charts from R environments.
Quarto is an open-source scientific and technical publishing system built on Pandoc that converts Markdown and Jupyter notebooks into a wide range of output formats. It functions as a multi-format document converter, a reproducible research platform, a static site generator for technical content, and an interactive dashboard builder, all within a single framework. The system is distinguished by its ability to produce HTML, PDF, Word, ePub, and slide decks from a single Markdown source, while embedding executable code blocks in Python, R, Julia, or Observable for dynamic, reproducible document
Includes reactive JavaScript, Shiny apps, and Jupyter widgets inside published documents.
Shiny is a framework for building interactive web applications using R code, eliminating the need for HTML, CSS, or JavaScript. At its core, it provides a reactive programming model that automatically tracks data dependencies and re-executes only the parts of an application that depend on changed inputs. The framework handles server-side UI rendering and maintains persistent WebSocket connections between the browser and server for real-time updates without page reloads. The framework distinguishes itself through deep integration with the R ecosystem, including the ability to embed interactive
Embeds interactive Shiny components directly within R Markdown documents for dynamic reporting.
GluonTS este un framework pentru prognoza probabilistică a seriilor temporale, conceput pentru a prezice valori viitoare ca distribuții de probabilitate cu intervale de încredere. Suportă atât antrenarea modelelor tradiționale, cât și prognoza zero-shot, unde modelele preantrenate generează predicții pentru serii noi fără antrenare suplimentară. Proiectul se distinge prin integrarea unei mari varietăți de abordări de prognoză într-un flux de lucru unificat. Aceasta include arhitecturi de deep learning precum rețelele neuronale recurente și convoluțiile cauzale, precum și integrarea modelelor statistice externe, a bibliotecii Prophet și a pachetelor R. Toolkit-ul oferă o suprafață cuprinzătoare pentru ingineria datelor de serii temporale, acoperind scalarea seturilor de date, divizarea și transformarea datelor temporale brute în tensori. Include, de asemenea, o suită de instrumente de evaluare pentru măsurarea acurateței prognozei și a intervalelor de incertitudine, precum și utilitare pentru persistența seturilor de date folosind formate precum Arrow și Parquet. Framework-ul suportă implementarea modelelor de prognoză în cadrul infrastructurii cloud.
Calls external R libraries to perform univariate and hierarchical forecasting within a Python environment.
RStudio is a specialized integrated development environment for the R programming language and statistical computing. It provides a workbench for writing, debugging, and executing R code, offering both a desktop application and a server-hosted collaborative platform for managing data science projects. The platform enables the creation of interactive data applications, AI-powered dashboards, and technical reports. It facilitates the sharing of analysis results through a centralized publishing platform and supports the rendering of notebooks and markdown into multiple file formats. The environ
Provides a comprehensive integrated development environment specifically tailored for the R language and statistical computing.
Nevergrad is a gradient-free optimization library and hyperparameter optimization framework designed to find the minimum of objective functions without using derivatives. It serves as an asynchronous optimization engine that decouples parameter suggestions from result reporting to support parallel function evaluations. The project specializes in multi-objective optimization to identify Pareto fronts for competing goals and provides a suite for benchmarking the performance and convergence of different optimization routines. It supports black-box system optimization, enabling the tuning of exte
Executes gradient-free optimization routines within an R environment by leveraging a Python-based optimization engine.
Positron is a data science integrated development environment and AI-powered code editor designed for polyglot development, specifically supporting Python and R. It functions as a remote compute workspace that separates the user interface from the execution kernel via SSH or container integration. The environment features a deep integration of large language models that provide context-aware suggestions and automated data analysis by accessing real-time interpreter state, in-memory objects, and plot outputs. It distinguishes itself through a polyglot runtime bridge that enables cross-language
Functions as an integrated development environment specifically tailored for the R language.