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The mat package from Gonum provides implementations of float64 and complex128 matrix structures and linear algebra operations on them in Go. It offers interfaces for matrix classes, concrete implementations such as Dense and SymDense, methods for using matrix data, and types for matrix factorizations such as QR and LU.
Apache Hadoop is an open-source project that develops software for reliable, scalable, distributed computing. Its library is a framework for distributed processing of large data sets across clusters of computers using simple programming models, scaling from single servers to thousands of machines with local computation and storage, and detecting failures at the application layer.
Highcharter is an R wrapper for the Highcharts JavaScript charting library and its modules, delivered through an htmlwidget. The hchart(x) function charts data frames, vectors, ts, xts, forecast and survfit objects. It supports Highstock candlestick charts, Highmaps choropleth charts, themes, and plugins. Highcharts offers a commercial license and a free non-commercial license; the package does not provide a Highcharts license.
Analyzes structured data and helps produce queries, insights or visualizations.
IBM Asset Dataset refers to the deprecated IBM Developer Data Asset eXchange (DAX). Most of its datasets are now hosted on HuggingFace or Kaggle, while IBM Project Debater datasets are available via the IBM Research Haifa site.
Intake is a lightweight package for finding, investigating, loading, and disseminating data. It is hosted on GitHub at https://github.com/intake/intake. The repository includes documentation, installation instructions, development guidelines, and support information.
Knowledge Repo is a next-generation curated knowledge sharing platform designed for data scientists and other technical professionals. It is maintained as a public open source repository on GitHub under the Airbnb organization.
KONECT is the Koblenz Network Collection, a network science project that collects network datasets, analyses them, and publishes the analyses online. It holds 1,326 network datasets in 24 categories, with computed graph statistics and generated plots. Its source code, including an Octave network analysis toolbox and an extraction library, is available as free software under GPL version 3.
Kyso was a universal aggregator for all research formats that ceased operation on September 31, 2023, and is now maintained as an open source project. It launched in 2018 to help the data science community share insights and address collaboration challenges across varied workflows and tools, with an initial focus on Jupyter Notebooks. During its operation, it served thousands of users and hundreds of organizations.
Modern columnar data format for ML implemented in Rust.
Levity is a platform for building and scaling AI automations for logistics workflows. It offers tools for analyzing email data, building automations, integrating with everyday tools, and scaling through visibility and human oversight. It is described as Communication Intelligence for the global supply chain.
LinkScope is online investigation software that represents information as discrete entities, connects related data via resolution functions to build knowledge graphs, and helps users extract insights from online data. It offers graph visualisation, drag-and-drop data entry, event timelines, browser tab import, location mapping, and extensible functionality. A server version supports live project collaboration, text extraction from over 100 document types, content summarization, and context-aware Q&A about project data. Installers are available for Ubuntu 22.04 and Windows 11, though the SFDP graph layout is not functional on Windows.
Loic Tetrel is a blog about computer science and data science topics. Posts cover subjects such as enabling GPU acceleration in Windows 11 Hyper-V virtual machines, using Android TV without a Google account, and Windows/Linux dual-boot.
Lux is a Python library for automated data exploration. When a pandas dataframe is printed in a Jupyter notebook, Lux recommends a set of visualizations highlighting trends and patterns, shown in an interactive widget for browsing and exploring the dataset.
MapLight provides data series focused on United States federal campaign finance and congressional bills, intended for research and media organizations. Its Bill Positions dataset tracks which companies and organizations support or oppose specific bills moving through Congress, sourced from public records including company websites, press releases, and government documents. The dataset covers 2007 to 2021, includes more than 225,000 positions on over 14,000 bills, is no longer updated, and is available for academic and research use for a modest licensing fee.
Analyzes structured data and helps produce queries, insights or visualizations.
Marquez is an open source metadata service for collecting, aggregating and visualizing a data ecosystem's metadata. It maintains provenance of how datasets are consumed and produced and provides visibility into job runtime and dataset access. Metadata is collected via OpenLineage, and a web UI shows job and dataset dependencies through a lineage graph.
Mars is an open source tensor-based unified framework for large-scale data computation. It scales numpy, pandas and scikit-learn, offering tensor, DataFrame and learn interfaces that resemble the original libraries. A session can be started locally or connected to an existing Mars cluster.
The Master of Management Analytics at Smith School of Business, Queen's University, combines data analytics training with business strategy and management education. It is offered in a live classroom format in downtown Toronto and a blended format with online learning and live remote instruction, and includes two one-week on-site sessions.
MeTA is a modern C++ data sciences toolkit. It provides text tokenization including deep semantic features like parse trees, inverted and forward indexes with compression and caching strategies, ranking functions for searching indexes, topic models, classification algorithms, graph algorithms, language models, a CRF implementation for POS-tagging and shallow parsing, and wrappers for liblinear and libsvm.
Metabase is an open source analytics and business intelligence platform. It grounds answers in a governed semantic layer of metrics and business logic so the query behind each answer can be inspected. It supports querying data in plain English with AI, interactive dashboards, documents, subscriptions and alerts, and embedded analytics. Users can self-host or use Metabase Cloud.
Analyzes structured data and helps produce queries, insights or visualizations.
ModelDB is an open-source system for versioning machine learning models, including their code, data, config and environment, and for tracking ML metadata across the model lifecycle. It supports reproducible models, experiment management and lifecycle tracking. It runs on Docker and Kubernetes, offers Python and Scala clients, and is maintained by Verta.ai.
The online Master of Science in Business Analytics (MSBA) is a graduate degree program offered by ASU Online. The program is designed to equip students with the skills to make data-driven, competitive business decisions.
