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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.
SmartDoc (marketed as SmartDoc Pro 2.0) is a document analysis tool that provides metrics including reading time distribution, complexity analysis, writing style evolution, lexical density, cohesion metrics, emotional analysis, argument strength, and algorithmic insights. It also includes a smart analysis feature, clear editor preview, document outline, keyword identification, and document statistics.
Artificial Analysis provides comparison and analysis of AI models and API hosting providers. It offers independent benchmarks across performance metrics including quality, price, output speed and latency, along with an intelligence index and cost-per-task measures.
Awesome Data Analysis is a GitHub repository or organization with source code, releases, documentation, or project resources.
An awesome list of open-source tools for systematic reviews, meta-analysis, and evidence synthesis derived from Evidence Synthesis Tools Directory. It organizes tools under categories such as literature search, text mining and NLP, screening, data extraction, risk of bias, meta-analysis statistics, and visualization and reporting.
Awesome Malware Analysis is a GitHub repository or organization with source code, releases, documentation, or project resources.
Awesome Network Analysis is a GitHub repository or organization with source code, releases, documentation, or project resources.
Chess Analysis is an educational resource for documentaries, courses, books, reference material, or self-learning.
Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
The online version of the work-in-progress third edition of the book ggplot2: Elegant Graphics for Data Analysis, published by Springer. It focuses on explaining the Grammar of Graphics that ggplot2 uses and describes its full details rather than serving as a cookbook. Written by Hadley Wickham, Danielle Navarro and Thomas Lin Pedersen.
HaramBlur is an AI-powered tool that blurs Haram and NSFW content on phones and in browsers. It provides instant image analysis, real-time video analysis and website blocking. Content analysis runs locally on the device. It is available for Android, iOS, Chrome, Firefox and Safari.
Online service for detailed and free analysis of suspicious files and URLs.
The KNMI Climate Explorer is a web-based scientific analysis tool from the Royal Netherlands Meteorological Institute. It offers access to over 10 TB of climate data and dozens of analysis tools for exploring and visualizing climate data in the browser, including time series, anomaly calculations, event comparisons, and trend analysis with significance testing. Results can be visualized and downloaded.
The Master's programme in Management & Data Science is an English-language M.Sc. programme combining management education with data science techniques. It is aimed at students wanting to advance skills in data analysis of real-world phenomena, and covers intelligent data analysis, artificial intelligence, machine learning and data mining. It runs over four semesters and 120 CP according to ECTS.
MetaReview is a free, open-source online meta-analysis tool that combines PubMed literature search, AI screening and data extraction, effect-size calculation for OR/RR/HR/MD/SMD, forest and funnel plots, subgroup and sensitivity analysis, PRISMA flow diagrams and report export. It runs in the browser without R, Stata or RevMan. A comparison page states the tool is free.
The Climate Analysis Section Data Catalog was a resource for climate data from the Climate Analysis Section. The catalog has been archived in favor of the Climate Data Guide, which now serves as the place to view its datasets.
NuriStat is a free open-source alternative to SPSS, a menu-driven statistics tool designed for researchers and clinicians. It provides 27 or more analysis modules, variable metadata support, SPSS import functionality, effect size calculation, survival analysis, and ROC analysis.
pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. It is described as a data analysis and manipulation tool built on top of Python. Documentation, a user guide and an API reference are available.
A site offering lessons on the fundamentals of reverse engineering, binary analysis and software security. It describes hands-on tutorials, practical examples and real-world scenarios covering binary analysis, malware research, and static and dynamic analysis.
Serpstat is a marketing tool for SEO and content tasks. It offers backlink analysis, rank tracking, keyword research, competitor analysis and site audits. The platform includes an API, keyword clustering and scheduled automatic checks. Paid plans include Individual, Team and Team x2, and a seven-day free trial of paid features is offered.
Statsmodels is a Python package that complements scipy for statistical computations, including descriptive statistics and estimation and inference for statistical models. It provides linear regression models, generalized linear models, discrete models, time series analysis, survival analysis, multivariate methods and a range of statistical tests.
A book by Roger D. Peng and Elizabeth Matsui, dated 2017, about data analysis as an art. It discusses the thought process behind data analysis and covers R software development for building data science tools, including handling complex data, building R packages and custom data visualizations.
GitHub malware research repository containing live samples for controlled analysis environments.