nealmcb
Engaged in "Technology Serving Community" since '80's. ElectionAudits champion, data scientist, ex-Bell Labs web & security innovator, dancer, ...
Boulder CO
Pinned Repositories
r2b2
Round-by-Round and Ballot-by-Ballot election audits: a workbench for exploration of risk-limiting audits, including Minerva and other Athena-class audits
argon2-cffi
Secure Password Hashes for Python
arlo
astropy
Repository for the Astropy core package
audit_cvrs
audit_cvrs helps auditors manage a ballot-level risk-limiting post-election audit
ColoradoRLA
Software to facilitate risk-limiting audits at the state level, developed for the state of Colorado.
ElectionAuditWareRepo
Repository for Google Group ElectionAuditWare, re post-election audit software and tools.
pr_voting_methods
Proportional Representation Voting Methods, Data, and Auditing
Voting-Data-Analysis
Java code for analyzing voting data from ES&S iVotronic Direct Recording Electronic (DRE) machines and Unity Voting System Election Report Manager software.
nealmcb's Repositories
nealmcb/audit_cvrs
audit_cvrs helps auditors manage a ballot-level risk-limiting post-election audit
nealmcb/pr_voting_methods
Proportional Representation Voting Methods, Data, and Auditing
nealmcb/ballot_provenance
Provide evidence for provenance of paper ballots by publishing hashes of images of the ballots during scanning
nealmcb/life_at_sea_cruise
Analysis of Life at Sea Cruise itinerary etc.
nealmcb/rlacalc
rlacalc crunches the numbers for risk-limiting post-election audits.
nealmcb/snapshot-election-results
Gather snapshots of election results data from Scytl's Clarity Election Night Reporting system and archive them for analysis.
nealmcb/7thEstateAustin
Bulletin Board for the 7th Estate Demo Election in Austin, TX, June 8-10 2022
nealmcb/astrometry.net
Astrometry.net -- automatic recognition of astronomical images
nealmcb/auditcenter
Election audit data from the AuditCenter in Colorado, created by ColoradoRLA software, mirrored from https://www.sos.state.co.us/pubs/elections/auditCenter.html
nealmcb/charter
Documentation of initial IETF Supply Chain Integrity Transparency and Trust (SCITT) WG Charter
nealmcb/cli-guidelines
A guide to help you write better command-line programs, taking traditional UNIX principles and updating them for the modern day.
nealmcb/ConcreteSTV
STV vote counting for various actual jurisdictions.
nealmcb/docs-2
Source code for the Streamlit Python library documentation
nealmcb/FlexSpec1
Small telescope Flexible Spectrograph One.
nealmcb/flipperzero-firmware-wPlugins
RogueMaster Flipper Zero Firmware
nealmcb/gittuf
A security layer for Git repositories
nealmcb/hatvalidate
Python code for validating the matching conditions of the hat aperiodic monotile
nealmcb/Introduction-to-Autonomous-Robots
Introduction to Autonomous Robots
nealmcb/jdat_notebooks
JWST Data Analysis Tools Notebooks
nealmcb/libtrevisan-py
The first python implementation of Trevisan extractor
nealmcb/margin-irv
Margin computation for IRV elections
nealmcb/murph-tour-2024.github.io
Michael Martin Murphey's Cowboy Christmas Tour, 2024
nealmcb/nealmcb.github.io
Verification page as suggested at https://til.simonwillison.net/mastodon/verifying-github-on-mastodon
nealmcb/openstv-py3
Version that works with python3
nealmcb/raire-rs
Rust version of RAIRE.
nealmcb/rankconvert
Convert ranked ballots from the CSV format provided by CIVS to BLT
nealmcb/slack-export-extraction
Simple class to read Slack public data exports into a data structure for easy preprocessing and manipulation
nealmcb/spin
Spin is an open source framework for building and running fast, secure, and composable cloud microservices with WebAssembly
nealmcb/star-server
STAR Voting is an upgrade to our current way of voting that allows voters to score candidates from 0 to 5. Ultimately, STAR Voting elects candidates who better represent the whole of the electorate. We are building a site that lets everyone from individuals to organizations use STAR Voting to host simple polls or run secure elections.
nealmcb/ZigZag
Python library for identifying the peaks and valleys of a time series.