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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.
The Quiet-Broke Index is a research project modeled by Henry Finance that estimates the high-earner squeeze across 30 US metros at a $400,000 household income. It combines five fixed costs: housing, taxes, childcare, healthcare and transportation. A calculator gives a 0–100 score from five inputs, and the site ranks cities and reports per-line-item decomposition.
A visualisation of major large-language models ranked by performance using the MMLU benchmark, which consists of 16,000 multiple-choice questions across 57 academic subjects. It also presents selected lawsuits filed against AI companies and notes that MMLU has some critiques.
Think Stats is an introduction to probability and statistics for Python programmers, emphasizing simple techniques for exploring real data sets and answering questions. It includes case studies using datasets from the National Institutes of Health and other sources, with exercises using short programs. The second edition is no longer current and is available under a Creative Commons license.
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.
Tonic is a tool for downloading, manipulating and loading event-based or spike-based data, described as similar to PyTorch Vision but for neuromorphic data. It provides event datasets and transformations, and the project states it is looking for a new maintainer.
Scripts to load several popular datasets including:.
A data and concept drift library for PyTorch.
torchvista is an open-source tool that enables interactive visualization of PyTorch forward passes in Jupyter notebooks, maintained as a public GitHub repository under the sachinhosmani organization. It supports interactive drag-and-zoom graphs, collapsible nodes for hierarchical modules, and error-tolerant partial visualization when errors arise.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
The U.S. Climate Resilience Toolkit is a website offering resources on understanding climate-related risk and practical ways to address it. It includes Steps to Resilience, topics and sectors, training, a registry of experts, and a help desk with FAQs and technical resources.
Upgini is an open-source data search and enrichment library for Machine Learning and AI pipelines. It enables users to find and add relevant features from hundreds of public and premium external data sources, including open and commercial large language models.
Handbook and recipes for data-driven solutions of real-world problems.
Vaex is an open-source Python DataFrame library for working with large tabular datasets without loading them fully into memory. It supports lazy opening of CSV files and processing of hundreds of millions or billions of rows per second. The project also offers consultancy and training services.
Variance applies AI to data analysis, extraction, visualization, or business intelligence.
Minimalist neural network library optimized for sparse data and single machine environments.
Vega-Altair is a declarative visualization library for Python with a simple, friendly and consistent API built on the Vega-Lite grammar. The project states it is not affiliated with Altair Engineering, Inc.
Open CC-BY-4.0 dataset of evidence-graded dietary-supplement data covering dosing, bioavailability, drug-nutrient interactions and cost-per-effective-dose, with every clinical claim tied to a PubMed PMID. Compiled by Verified Supplement Data, it is mirrored on Hugging Face and Kaggle and offered as a free live JSON API.
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.
VisPy is a high-performance interactive 2D/3D data visualization library that uses GPUs through OpenGL to display large datasets. It offers a Pythonic, NumPy-aware interface for OpenGL ES 2.0 called gloo and an experimental OpenGL backend for matplotlib. The project is described as young and under heavy development, with high-level plotting interfaces still experimental.
The visualizer is a tool developed by the cheminformatics department of the Swiss Federal Institute of Technology for rendering complex datasets. Its modules, placed on a browser page, display information as tables, charts, matrices or lists and interact through a central API of variables and actions. Visualization starts by passing three JSON file URLs in the browser address bar. It is released under the MIT license.
WhatSTheBigData applies AI to data analysis, extraction, visualization, or business intelligence.
An article comparing Topological Data Analysis results with those from t-SNE and UMAP packages. It discusses advantages of TDA coupled with self-supervised learning and covers case studies in IoT, image analysis and text analysis, plus open-source libraries for starting with TDA.
The windML framework provides access to wind data sources within Python, building upon numpy, scipy, sklearn and matplotlib. It relates to renewable wind energy forecasting and prediction. The package is currently not maintained, though a deprecated branch is available.
