Calculates international standard specification and tolerances for bores, round bars and metals of mechanical units. For examples; H7, H8, H9, h8, h9 specifications and IT5/IT6 tolerances.

MCP server for converting technical drawings (PDF) and engineering callouts between metric and imperial units — dimensions, fits, tolerances, threads, surface roughness. Powers https://metric-to-imperial-converter.imnoo.com

A value object for a pair (upper, lower) of tolerances

Invisible PM layer for AI coding agents — EVM, tolerances, PDCA, calibration

To know a thing well, know its limits. Only when pushed beyond its tolerances will true nature be seen.

Get tolerances for some standards

JavaScript DXF file viewer

Modular JS statistics toolkit for Node.js and the browser: descriptive stats, correlations (Pearson/Spearman/Kendall), t-tests & ANOVA (Student/Welch), reliability (Cronbach’s alpha), regression (linear/logistic), clustering (DBSCAN/HDBSCAN), and table/co

Command-line interface for Kaiord workout file conversion

Build and manipulation of correlations from 1D and 2D NMR data

Browser automation agent using Computer Use with Playwright

## Resistors - standard_resistors.json Contains standard base resistor values for the most commonly used tolerances: E12 - 10%, E24 - 5%, E96 - 1%, E192 - 0.1% - To determine values other than the base, multiply the base value by 1, 10, 100, 1k, or 10k.

Engine-agnostic draw/edit core for tactical control measures (MIL-STD-2525 / APP-6). The MapAdapter ABI and bring-your-own-engine entry point for the tactical-draw package family.

Monster Hunter Tri data for monsters, quests, and weapons

Selenium WebDriver adapter for TestivAI Witness — local-first visual regression with pixel + DOM comparison

An elegant print-in-place cube box with a few useful features.

An elegant print-in-place cube box with a few useful features.

CI for generated XLSX workbooks: validate OOXML, recalculate formulas, and compare LibreOffice with opt-in Google Sheets.

Your own context engine — local-first, across every AI. So every AI finally knows you.

Foundational colorimetry primitives—tuples, CIE constants, 3x3 matrix/vector math, channel normalization—without conversion logic.