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Ruffus is an open-source computation pipeline library for Python, used in science and bioinformatics. It is designed to automate scientific and other analyses with a lightweight, standard-Python syntax, and can be installed from the Python Package Index.
Runcell is an AI agent for Jupyter notebooks that automates writing and executing Python code, debugging, and explaining data analysis results. It operates within the notebook environment, inspecting context and planning multi-step workflows autonomously.
Analyzes structured data and helps produce queries, insights or visualizations.
Basic sampling algorithms for Julia.
Analyzes structured data and helps produce queries, insights or visualizations.
Analyzes structured data and helps produce queries, insights or visualizations.
Scruffy is an unofficial fork of the Ruby graphing library, based on the official 0.2.5 release, intended for hi-resolution graphs and charts. It renders to SVG or bitmap formats such as PNG and JPG. The fork is marked as not maintained.
Visualizing SEP is an interactive visualization and search engine for exploring the Stanford Encyclopedia of Philosophy. Each search result is shown within a network graph of directly linked articles. The site is optimized for Chrome on desktop; mobile platforms and resolutions under 1280 x 720 are not supported.
Seeing Theory is an archived site offering a visual introduction to probability and statistics through interactive visualizations. It covers six chapters: basic probability, compound probability, probability distributions, frequentist inference, Bayesian inference and regression analysis. It was created by Daniel Kunin while an undergraduate at Brown University.
Shiny is an R and Python package for creating interactive web apps, letting users interact with data and analysis without web development skills. Apps can be written from R or Python. Questions are answered through Posit Community and Stack Overflow, with subscription support for hosting services.
Simple Statistics is a JavaScript implementation of descriptive, regression, and inference statistics. It is written in literate JavaScript with no dependencies and is designed to work in all modern browsers and in Node.js. The repository is published under an ISC license.
SiteAnalyzer is a website crawler for technical audits and SEO optimization. It scans site pages and checks more than 60 parameters, including broken links, duplicate pages, meta tags and server response codes. It offers integrations with Google Search Console, Yandex Webmaster and Yandex Metrica, internal PageRank calculation, site structure visualization and sitemap generation. A free version and a Pro plan are available.
Sit In Shade is a travel tool for finding the seat that stays in the shade during a journey. It provides real-time sun exposure data and route visualization. Users enter a date, time estimate, duration and timezone.
Skale is a distributed data processing and machine learning engine that provides a high-level API in JavaScript and a parallel execution engine on top of Node.js. The repository was archived by its owner on May 29, 2021 and is read-only. It supports multiple data sources and formats, and can run in local or distributed mode.
Analyzes structured data and helps produce queries, insights or visualizations.
Snorkel is a system for quickly generating training data with weak supervision, released under an Apache-2.0 license and written in Python. The project started at Stanford in 2015 to programmatically label, build, and manage training data. The team now focuses on Snorkel Flow, an end-to-end AI application development platform based on the core ideas behind Snorkel.
Snowpixel is a creative studio for generating AI videos, music, sound effects, images, and 3D objects from prompts and source media. It offers text-to-video, image-to-video, AI music, text-to-3D, and still generation within one workspace. Credit packs start at $10 USD for 50 credits and $45 USD for 250 credits.
AI-generated visualization prototyping and editing platform, support 2D, 3D models, combined with LLM(Large Language Model) for quick editing.
Somoclu is a massively parallel implementation of self-organizing maps, using multicore CPUs, MPI for cluster workload distribution, and CUDA acceleration. It supports OpenMP, MPI, and CUDA, runs on Linux, macOS, and Windows, and offers planar and toroid maps, rectangular and hexagonal grids, and Gaussian and bubble neighborhood functions. Both dense and sparse input data are supported, with interfaces for Python, R, Julia, and MATLAB.
SoyBase is a collaborative community resource that integrates genetic, genomic, and trait data across legume species to support crop improvement. It provides analysis, search, sequence, visualization, and genome browsing tools for soybean breeders and researchers. The site is funded by USDA-ARS and developed with the National Center for Genome Resources.
Spark is a fast and general engine for large-scale data processing.
Analyzes structured data and helps produce queries, insights or visualizations.
Springboard is an education technology company that offers online career tracks in data science, machine learning, artificial intelligence, cybersecurity, software engineering, and UX design. Its blog provides articles on certifications, skill building, and career planning. The platform also partners with employers to hire emerging talent and offers team upskilling solutions.
Sprout is an interactive anime recommendation engine that uses a machine learning model to generate tailored recommendations based on watch history and ratings from MyAnimeList or AniList profiles. It also provides stats and visualizations of personal watch history and preferences, plus the Atlas Visualization. Sprout is fully open source.
