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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.
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 The second edition is no longer current and is available under a Creative Commons license.
Anara is an AI research assistant and workspace designed for research workflows. It allows users to search personal document libraries and the web, write with automatically generated source citations, and access answers that link to the exact source passage for verification. The tool is intended for high-stakes research use cases including academia.
AI Visibility Monitor is an open-source CLI that runs buyer queries against ChatGPT, Claude, and Perplexity and reports which queries are winnable, source surfaces, and visibility trends. It runs on the user's own API keys, with no signup and no SaaS upsell.
Archai is an open-source project developed by Microsoft and hosted on GitHub. It is designed to accelerate neural architecture search (NAS) research by providing fast, reproducible, and modular tooling for developing, testing, and refining new neural network architectures.
Awadb is an AI-native database built for working with embedding vectors. It is available as a public open-source repository on GitHub, where users can access the code, contribute to development, or deploy it locally on Mac OSX or Linux, or run it as a standalone service. The project is designed to support AI applications that rely on vector embedding functionality.
Chroma is open-source search infrastructure for AI under Apache 2.0. It supports vector, full-text, regex and metadata search, built on object storage. Chroma Cloud offers serverless, scalable deployment with usage-based pricing.
CiteMe is a citation generator that formats references in APA, MLA, Harvard, Chicago, and many other styles. Users paste a DOI, ISBN, URL, or title, and the tool reviews the metadata source before formatting. It searches scholarly databases such as OpenAlex, CrossRef, and PubMed. A free plan is offered, with a Pro tier adding batch PDF import and exports.
Dash is an open-source Python library for building data applications and dashboards without requiring JavaScript expertise. It is maintained by Plotly and hosted on the company's public GitHub repository, where users can access source code and contribute to the project.
ReadStat.jl, listed as Data Read, is an open-source Julia library for reading data files in Stata, SAS, and SPSS formats. The project is hosted on GitHub under the queryverse organization, where users can access source code and contribute to its development.
DocsGPT is described as an open-source private AI assistant and self-hosted RAG platform for an organization's own documents, with cited answers. It is built by Arc53 and deployable in the cloud, on-premises or air-gapped. The platform covers knowledge, agents, workflows and governance.
Keenious is an AI-assisted tool for exploring published academic research. It searches about 177M publications, groups results into research areas on a map, and explains unfamiliar terms, methods, and statistics beside the paper. It also translates studies published in other languages. The source states it does not write essays, paragraphs, or assignment outlines.
MCP Memory Service is an open-source tool that provides persistent memory for AI agent pipelines including LangGraph, CrewAI, AutoGen and Claude, with a REST API, knowledge graph and autonomous consolidation functionality.
MinusX is an open source agentic business intelligence platform that combines a data agent with a BI tool. It answers questions, builds dashboards and sets alerts, with slides and data stories, visualizations and a SQL GUI. It can be self-hosted or used via MinusX Cloud, and the source is available and inspectable.
Neofuzz is an open-source Python library that provides high-speed fuzzy text search functionality. It is hosted on GitHub under the x-tabdeveloping repository and is available for community use and contribution.
ParadeDB is an open-source PostgreSQL extension hosted on GitHub. It adds functionality for application data management, full-text search, vector retrieval and data aggregations to PostgreSQL databases, and is the home of the pg_search extension. The repository includes links to associated documentation, community resources, a blog and a changelog.
Plotly's Python graphing library is a free, open-source library for building interactive, publication-quality charts and graphs. It supports chart types including line plots, scatter plots, bar charts, error bars, box plots, histograms, heatmaps, subplots, multiple-axes, polar charts, and bubble charts. The source is available on GitHub.
Chroma - Open-source search and retrieval database for AI applications. Vector, full-text, regex, and metadata search. or Cloud available.
Sourcely is an AI-powered academic source finder that searches over 200 million papers based on pasted text, an essay, or a paper. It finds and summarizes credible sources and exports citations. Advanced filters, deep search, and chatting with sources are offered. Plans are billed monthly or annually.
TalkToPapers, referenced as the namuan/dr-doc-search GitHub repository, is an open-source tool that enables users to converse with book content, built using GPT-3. The repository includes documentation covering prerequisites, installation steps, and example usage.
Helps find, analyze or synthesize information for research and knowledge discovery.
8bitconcepts is an embedded AI consulting practice that works inside operating businesses to ship AI workflow and process systems. It targets repetitive operations, support, data-preparation and review workflows, and publishes research papers and data snapshots alongside live AI products.
Paper by Dipankar Dasgupta, Deepak Venugopal and Kishor Datta Gupta.
Accord.MachineLearning is a NuGet package, part of the Accord.NET Framework, that contains Support Vector Machines, Decision Trees, Naive Bayesian models, K-means, Gaussian Mixture models, and general algorithms such as Ransac, Cross-validation and Grid-Search for machine-learning applications. Version 3.8.0 targets .NET Standard 1.4 and .NET Framework 3.5.
