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Published directory entries matching your search.
Polars is an extremely fast open-source query engine for DataFrames written in Rust, hosted as a GitHub repository under the pola-rs organization. It is built to handle large datasets, including data volumes that exceed available system RAM.
Potato is a portable annotation tool developed by davidjurgens and hosted on GitHub. It supports annotation work across a range of data types and annotation schemes, with documentation available for quick start guidance and use case details.
pygal is a Python charting library described as beautiful and simple python charting. Its documentation lists chart types including line, bar, histogram, XY, pie, radar, box, dot, funnel, gauge, pyramid and treemap, and output formats such as SVG, PNG and base 64 data URI.
Open source GPU accelerated data science libraries.
Julia package for loading many of the data sets available in R.
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.
Analyzes structured data and helps produce queries, insights or visualizations.
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.
Analyzes structured data and helps produce queries, insights or visualizations.
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.
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.
A data and trends page from PeptaHub presenting statistics on peptide compounds, covering legal status, research evidence, administration routes and categories. The page states that 156 peptide profiles were analyzed across 10 therapeutic categories, 5 legal classifications and 6 routes of administration, with the dataset available as JSON and CSV downloads under CC BY 4.0.
Apache Storm is a free and open source distributed realtime computation system. It processes unbounded streams of data and is simple, can be used with any programming language, and integrates with queueing and database technologies. Listed use cases include realtime analytics, online machine learning, continuous computation, distributed RPC and ETL.
A data exploration platform designed to be visual, intuitive, and interactive.
A personal blog by Chris Said, a data scientist at Propel. The blog is mostly about statistics, technology, and science, and the site links to blog posts on topics such as A/B testing and statistics.
A paid monthly recap newsletter for AI engineers covering December 2023 developments. It frames AI industry activity around four areas: Data Wars, the GPU Rich/Poor War, the Multimodality War, and the RAG/Ops War, and also recaps top items for AI engineers.
The GDELT Project monitors broadcast, print and web news from nearly every country in over 100 languages, identifying people, locations, organizations, themes, sources, emotions, counts, quotes, images and events. Its archives date back to January 1, 1979 and update every 15 minutes. Data can be downloaded as raw CSV files, visualized with the GDELT Analysis Service, or queried with Google BigQuery.
TimeSeries.jl is a lightweight framework for working with time series data in Julia. It is installed through the Julia package manager and provides a TimeArray type built from date or timestamp ranges and values.
A data and concept drift library for PyTorch.
Minimalist neural network library optimized for sparse data and single machine environments.
Research report examining seven years of truck-involved fatalities, 2018 through 2024, across 19 major US cities, based on FARS data. It compares each city's 2018-2019 baseline average with its 2023-2024 average and notes that of 17 Vision Zero adopters, 10 improved and 7 did not.
