Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
Directory
Search results
Published directory entries matching your search.
Cleansing, pre-processing, feature engineering, exploratory data analysis and easy ML with PySpark backend.
Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
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.
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.
Tableau applies AI to data analysis, extraction, visualization, or business intelligence.
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.
Variance applies AI to data analysis, extraction, visualization, or business intelligence.
WhatSTheBigData applies AI to data analysis, extraction, visualization, or business intelligence.
AI-powered multi-market stock analysis with transparent BDE scoring across 73 stocks (US/HK/A-share). EU AI Act Art.50 compliant. MIT license.
ML powered analytics engine for outlier/anomaly detection and root cause analysis.
cheminfo.org is a website offering a collection of utilities for chemistry and related fields. Tools include NMR spectrum analysis, mass spectrometry, JSON conversion, and image processing. The site also provides exercises and simulators for spectral interpretation.
Specialized AI Analysis of Congressional Stock Trades. Track the real-time stock trades of every member of Congress, aggregated into a single.
A personal blog by Daniel Forsyth presenting data analysis posts, including an analysis of 2019 NFC East offensive spending versus production with nflfastR, a StockX data contest entry, mapping of NYC taxi data, and NBA Twitter emoji and word embedding work.
LochBot is a free prompt injection vulnerability checker. It analyzes a pasted system prompt against 31 documented injection attack patterns in 7 categories and returns a security score with fix suggestions. The analysis runs client-side in the browser. Results can be exported as JSON.
quanteda is an R package for managing and analyzing text, described as a fast, flexible, and comprehensive framework for quantitative text analysis in R. It provides functionality for corpus management, tokens and n-grams, keywords in context, sparse matrices, content dictionaries, and supervised and unsupervised machine learning.
TechanJS is a library built on D3 for financial charting and technical analysis. It provides visual stock charting, including candlestick, OHLC and indicators, for building interactive financial charts for modern and mobile browsers.
The primary interface for interacting with OpenAI models, supporting chat, coding, data analysis, research, and agent workflows.
A repository holding the paper source, analysis notebook, and data generation and analysis scripts for the diginorm paper. It is forked from another repository and includes LaTeX sources, bibliography files, figures and a pipeline folder.
deepface is a lightweight Python library for face recognition and facial attribute analysis. It supports analysis of age, gender, emotion, and race attributes from facial data. The project is hosted as an open source repository on GitHub.
EQ-Bench 3 is a multi-turn emotional intelligence benchmark for language models. It presents role-play scenarios and analysis tasks requiring empathy, insight and social skill, and an auxiliary judge model scores or pairwise-compares the outputs. An MIT-licensed repository with a readme, results and data folders, it includes rubric scoring and pairwise ELO analysis options.
Stan is software for Bayesian data analysis that combines statistical modeling capabilities with user-friendly interfaces and open-source development. Its probabilistic programming language supports applications from simple linear regression to multi-level models and time-series analysis. Interfaces exist for Python, Julia, R, and the Unix shell, usable on laptops, clusters, or in the cloud. Official documentation covers the language, inference algorithms, and built-in functions.
Hadoop Illuminated's Chapter 16 page lists pointers to publicly available big data sets, covering generic repositories, geo data, web data and government data. It links to sources such as Amazon AWS data sets, InfoChimps, the Comprehensive Knowledge Archive Network, OpenStreetMap, Wikipedia data, Google N-gram data, Freebase, data.gov and World Bank data.
The Global Health Data Exchange (GHDx) is a catalog of global health and demographic data. It records information about data topics, links to data providers, and offers direct downloads where permission exists. The catalog covers surveys, censuses, vital statistics, registries, indicators, estimates, administrative health data, and health-related financial data. IHME-published data downloads may be used by non-commercial users under a free non-commercial user agreement.