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Starred repositories
The best free and open-source automated time tracker. Cross-platform, extensible, privacy-focused.
A collection of several hundred online tools for OSINT
A curated list of useful resources that cover Offensive AI.
Good Practice Tables - an XlsxWriter wrapper to write consistently formatted statistical tables to Excel.
A cookiecutter template for data science projects within His Majesty's Government and wider public sector.
krABMaga: A modern developing art for reliable and efficient Agent-based Model (ABM) simulation with the Rust language
The RAP community of practice includes all analysts and data scientists who are interested in adopting the working practices included in reproducible analytical pipelines (RAP) at NHS Digital.
Fast, accurate and scalable probabilistic data linkage with support for multiple SQL backends
Analysis of the Coding in Analysis and Research Survey (CARS)
Generate assumptions and caveats logs from code comments.
R package for formatting ggplot2 charts and applying MoJ corporate colours.
A general-purpose probabilistic programming system with programmable inference
🦉 ML Experiments and Data Management with Git
monstR is an R package that queries the Office for National Statistics (ONS) API to download data. monstR makes it easy to retrieve publicly available ONS data and meta data.
Task & Finish group looking at demand and options for a peer-review scheme in UK-gov RAP
An R package to generate fake data given an existing dataset
ukgovdatascience / cookiecutter-data-science-gds
Forked from drivendataorg/cookiecutter-data-scienceA logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
An international comparative trend analysis app for COVID-19 infection statistics, build in R Shiny
simple script to generate a projection of beds required to support given trajectory of covid19 cases requiring hospitalisation
Your self-hosted, globally interconnected microblogging community
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable,…