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Isomorphic: browser + server.","maintainers":[{"name":"ajwallacemusic","email":"ajwallacemusic@gmail.com"}],"readme":"# @almostjacked/fitness-tools\n\n**New here?** Start with the [getting-started tutorial](https://almostjacked.github.io/fitness-tools/start-here/getting-started/)\n— zero to an understood result in one page. The reference below is the fast version.\n\nValidated, self-describing fitness calculators for TypeScript — **runs natively in the\nbrowser and on the server**. BMR/TDEE, body fat, 1RM, macros, activity multiplier,\npowerlifting attempts, and natural muscular potential, each with multiple methods and a\nconsensus across them.\n\n[![npm](https://img.shields.io/npm/v/@almostjacked/fitness-tools.svg)](https://www.npmjs.com/package/@almostjacked/fitness-tools)\n[![CI](https://github.com/almostjacked/fitness-tools/actions/workflows/ci.yml/badge.svg)](https://github.com/almostjacked/fitness-tools/actions/workflows/ci.yml)\n· Types ✓ · 1 dependency (zod) · MIT\n\n```bash\nnpm i @almostjacked/fitness-tools\n```\n\n## Quick start\n\n```ts\nimport { REGISTRY } from \"@almostjacked/fitness-tools\";\n\nconst tdee = REGISTRY.get(\"tdee\")!;\nconst out = tdee.compute(tdee.input.parse({\n sex: \"male\", age: 30,\n height: { value: 180, unit: \"cm\" },\n weight: { value: 80, unit: \"kg\" },\n activity: \"moderate\",\n}));\n// out.results → [{ method: \"mifflin\", value: 2759, ... }, { method: \"harris\", ... }]\n// out.consensus → { mean: 2816.05, median: 2816.05, min: 2759, max: 2873.1, n: 2 }\n```\n\nPrefer raw functions? They're exported too, fully tree-shakeable:\n\n```ts\nimport { mifflinBmr, activityMultiplier } from \"@almostjacked/fitness-tools\";\nmifflinBmr(\"male\", 80, 180, 30) * activityMultiplier(\"moderate\"); // 2759\n```\n\n## Validated & self-describing\n\nEvery tool carries a [Zod](https://zod.dev) schema, so a single definition gives you\n**runtime validation**, **static types**, and a **JSON-Schema** description — for one small\ndependency. TypeScript can't catch a negative age or a body-fat of 200% at an untrusted\nboundary like a form; the schema can:\n\n```ts\nconst r = tdee.input.safeParse({ sex: \"male\", age: -5, /* ... */ });\nif (!r.success) {\n // r.error.issues → structured, per-field errors you can render in a form\n}\n```\n\nThe same schemas describe each tool (`tool.input` / `tool.output`), which is how the\ncompanion HTTP server generates its catalog and OpenAPI spec — no hand-written docs.\n\n## Runs in the browser, no build step\n\n```html\n\n```\n\nThe package is isomorphic — zero Node-only APIs — so the identical code runs in a browser,\nan edge function, or Node.\n\n## Tools\n\n\n| Tool | Methods | Description |\n|---|---|---|\n| `tdee` | mifflin, harris, katch, cunningham | Estimate BMR and TDEE via Mifflin-St Jeor, Harris-Benedict, Katch-McArdle, and Cunningham. Provide body_fat or lean_mass to unlock the LBM-based methods. |\n| `adaptive-tdee` | kalman, regression, endpoints | Measure actual TDEE from a logged history of daily weight and/or calorie intake. Default method (kalman) is a joint Kalman filter over true weight and TDEE — handles missing days, gates outliers, and reports uncertainty (CI95) alongside denoised true weight; regression/endpoints are simple window-based estimates kept for comparison. Use instead of formula TDEE once real logged data exists. Each entry needs at least one of weight/kcal (not necessarily both). Entry dates must span 10 years or less (earliest to latest). Note: all methods need at least one weigh-in (kalman) or two (regression/endpoints) — a history with zero weight entries throws under the kalman default; pass methods:'all' to get a graceful empty/skipped result instead. |\n| `body-fat` | navy, jackson-pollock-3, deurenberg | Estimate body-fat % via US Navy circumference, Jackson-Pollock 3-site skinfold, and Deurenberg (BMI-based) methods. |\n| `one-rep-max` | epley, brzycki, lombardi, wathan, oconner, mayhew | Estimate 1RM from a submaximal set via Epley, Brzycki, Lombardi, Wathan, O'Conner, and Mayhew; returns a %1RM load chart. |\n| `macros` | g-per-kg | Compute protein/fat/carb grams for a calorie target using the g-per-kg-bodyweight method, with goal-based protein defaults. |\n| `activity-multiplier` | lookup, neat-eat | Estimate the TDEE activity multiplier via the classic lookup table or a NEAT+EAT model (occupation/steps for non-exercise, training volume for exercise). |\n| `powerlifting-attempts` | standard | Deterministic opener/second/third attempts from an estimated 1RM, plus a warmup ramp and per-side plate loading. Tunable by aggressiveness and available plates. |\n| `muscle-potential` | casey-butt, ffmi-cap, berkhan | Estimate drug-free maximum bodyweight at a target body-fat % via Casey Butt (wrist+ankle), the FFMI~25 natural cap, and Berkhan's max-contest-weight model. Men only in v1. |\n| `ffmi` | standard | Compute the Fat-Free Mass Index (FFMI) and its height-adjusted form from weight and body fat (or lean mass), and flag whether it exceeds the ~25 natural ceiling. |\n| `rsmi` | direct, wen-2011 | Estimate the appendicular skeletal muscle index (RSMI) from a DXA value (direct) and/or an anthropometric estimate (Wen 2011), and flag low muscle mass against EWGSOP2, AWGS, and Baumgartner sarcopenia cutoffs. |\n\n\nEach tool runs several methods and reports a `consensus` (mean/median/min/max/n) across\nthem; methods whose inputs are missing are listed in `skipped` (or raise in explicit mode).\nUnits are explicit everywhere (`{ value, unit }`).\n\n## Need it over HTTP?\n\nThere's a reference HTTP server — [`@almostjacked/fitness-tools-api`](../../apps/api) — that re-exposes\nthese calculators over HTTP for clients that can't `npm install` a TS package (other\nlanguages, curl, no-code tools). It's optional: if you're in JS/TS, use this package\ndirectly. The server adds a network boundary, not capability.\n\n## License\n\nMIT — free, open-source, and usable in commercial products. See [LICENSE](../../LICENSE).\nBuilt on published formulas (Mifflin-St Jeor, US Navy, Jackson-Pollock, Epley, Casey Butt,\netc.); contributions welcome.\n","readmeFilename":"README.md"}