Meet JSON's functional half-brother.

If your business logic has a single-source-of-truth (SSOT) problem, JSOL may help.

I built JSOL because I didn't want to keep maintaining the same rules twice (once for the server, once again for the browser) on IPAX, a color science framework for accessible design systems. Every change meant updating both, testing both, and hoping they still agreed.

Did you know that something as simple as modulo can give you different results across languages? My LLM didn't. Turns out that 7.5 % 2 is 1.5 in JS… and 1 in PHP. And that's just one bug that slipped through code review.

Since most general-use languages today are somehow C-like, I wondered if there was some lingua franca we could use to declare business logic once, and include afterwards in our code with bit-for-bit parity.

That's how JSOL was born: a strict subset of JavaScript that transpiles to JavaScript, PHP, TypeScript and Python (with more targets planned), guaranteeing deterministic parity. Write the rule once, change it once, test it once.

Think JSON, but for business logic.

GitHub Repository ↗ Try the Interactive REPL

Is it worth your time?

The first question we developers ask about a new tool is: "Should I bother learning this?"

JSOL has strict syntax, zero syntactic sugar, and a learning curve. Writing it — even with an AI's help — will take you longer than writing native code you've already mastered. But JSOL's upfront cost can pay off in iterative maintenance.

The honest way to answer that question is with a model. So the first example below is exactly that: an adoption-economics model written in JSOL, running live in the REPL. And compiled to every target for inspection.

Play with the inputs: how many targets you maintain, how often your rules change, how many iterations until the upfront cost pays for itself. Add rows to evaluate different scenarios. And while you're at it, you're watching JSOL do what it was built to do.

📊 JSOL Spreadsheet REPL — v0.2.96

Function: `$aAmortizationSchedule`

// @JSOL v0.2.91

/**
 @description
 Builds a fixed-installment loan amortization schedule (the "French
 system"): every period pays the same total installment, but the split
 between interest and principal shifts over time — interest shrinks as the
 outstanding balance shrinks, principal grows to compensate.
  Fixed installment formula: A = P * r / (1 - (1+r)^-n), where P is the
 loan amount, r is the periodic interest rate, and n is the number of
 periods.

@param {number} $nLoanAmount - Amount borrowed.
@param {number} $nPeriodicRate - Interest rate per period, as a decimal.
@param {integer} $qPeriods - Number of installments.
@returns {array<Map>} - One entry per period: period, interest, principal, balance.
*/

/**
 @contract
 {
   "cases": [
     { "$nLoanAmount": 10000, "$nPeriodicRate": 0.01, "$qPeriods": 6 }
   ]
 }
*/

const $aAmortizationSchedule = function($nLoanAmount, $nPeriodicRate, $qPeriods) {
    // Fixed installment amount, constant across every period.
    const $nInstallment = $nLoanAmount * $nPeriodicRate / (1 - Math.pow(1 + $nPeriodicRate, -1 * $qPeriods));

    const $aSchedule = [];
    let $nBalance = $nLoanAmount;

    for (let $qPeriod = 1; $qPeriod <= $qPeriods; $qPeriod = $qPeriod + 1) {
        // Interest is charged on the balance still outstanding at the start
        // of this period.
        const $nInterest = $nBalance * $nPeriodicRate;
        // Whatever the installment doesn't cover in interest pays down principal.
        const $nPrincipalPaid = $nInstallment - $nInterest;
        $nBalance = $nBalance - $nPrincipalPaid;

        Arr.push($aSchedule, Map.create(
            "period", $qPeriod,
            "interest", $nInterest,
            "principal", $nPrincipalPaid,
            "balance", $nBalance
        ));
    }

    return $aSchedule;
};

// @JSOL v0.2.91

/**
 @description
 Builds a fixed-installment loan amortization schedule (the "French
 system"): every period pays the same total installment, but the split
 between interest and principal shifts over time — interest shrinks as the
 outstanding balance shrinks, principal grows to compensate.
  Fixed installment formula: A = P * r / (1 - (1+r)^-n), where P is the
 loan amount, r is the periodic interest rate, and n is the number of
 periods.

@param {number} $nLoanAmount - Amount borrowed.
@param {number} $nPeriodicRate - Interest rate per period, as a decimal.
@param {integer} $qPeriods - Number of installments.
@returns {array<Map>} - One entry per period: period, interest, principal, balance.
*/

/**
 @contract
 {
   "cases": [
     { "$nLoanAmount": 10000, "$nPeriodicRate": 0.01, "$qPeriods": 6 }
   ]
 }
*/

const $aAmortizationSchedule = function($nLoanAmount, $nPeriodicRate, $qPeriods) {
  // Fixed installment amount, constant across every period.
    const $nInstallment = $nLoanAmount * $nPeriodicRate / (1 - Math.pow(1 + $nPeriodicRate, -1 * $qPeriods));

    const $aSchedule = [];
    let $nBalance = $nLoanAmount;

    for (let $qPeriod = 1; $qPeriod <= $qPeriods; $qPeriod = $qPeriod + 1) {
    // Interest is charged on the balance still outstanding at the start
        // of this period.
        const $nInterest = $nBalance * $nPeriodicRate;
        // Whatever the installment doesn't cover in interest pays down principal.
        const $nPrincipalPaid = $nInstallment - $nInterest;
        $nBalance = $nBalance - $nPrincipalPaid;

        $aSchedule.push( JSOL.dict(
            "period",  $qPeriod, 
            "interest",  $nInterest, 
            "principal",  $nPrincipalPaid, 
            "balance",  $nBalance
        ));
  }
  return $aSchedule;
};
window['$aAmortizationSchedule'] = $aAmortizationSchedule;

<?php
// @JSOL v0.2.91

/**
 @description
 Builds a fixed-installment loan amortization schedule (the "French
 system"): every period pays the same total installment, but the split
 between interest and principal shifts over time — interest shrinks as the
 outstanding balance shrinks, principal grows to compensate.
  Fixed installment formula: A = P * r / (1 - (1+r)^-n), where P is the
 loan amount, r is the periodic interest rate, and n is the number of
 periods.

@param {number} $nLoanAmount - Amount borrowed.
@param {number} $nPeriodicRate - Interest rate per period, as a decimal.
@param {integer} $qPeriods - Number of installments.
@returns {array<Map>} - One entry per period: period, interest, principal, balance.
*/

/**
 @contract
 {
   "cases": [
     { "$nLoanAmount": 10000, "$nPeriodicRate": 0.01, "$qPeriods": 6 }
   ]
 }
*/

$aAmortizationSchedule = function($nLoanAmount, $nPeriodicRate, $qPeriods) {
  // Fixed installment amount, constant across every period.
    $nInstallment = $nLoanAmount * $nPeriodicRate / (1 - pow(1 + $nPeriodicRate, -1 * $qPeriods));

    $aSchedule = [];
    $nBalance = $nLoanAmount;

    for ($qPeriod = 1; $qPeriod <= $qPeriods; $qPeriod = $qPeriod + 1) {
    // Interest is charged on the balance still outstanding at the start
        // of this period.
        $nInterest = $nBalance * $nPeriodicRate;
        // Whatever the installment doesn't cover in interest pays down principal.
        $nPrincipalPaid = $nInstallment - $nInterest;
        $nBalance = $nBalance - $nPrincipalPaid;

        $aSchedule[] =  JSOL::dict(
            "period",  $qPeriod, 
            "interest",  $nInterest, 
            "principal",  $nPrincipalPaid, 
            "balance",  $nBalance
        );
  }
  return $aSchedule;
};

declare var JSOL: any;
declare var Rgx: any;

// @JSOL v0.2.91

/**
 @description
 Builds a fixed-installment loan amortization schedule (the "French
 system"): every period pays the same total installment, but the split
 between interest and principal shifts over time — interest shrinks as the
 outstanding balance shrinks, principal grows to compensate.
  Fixed installment formula: A = P * r / (1 - (1+r)^-n), where P is the
 loan amount, r is the periodic interest rate, and n is the number of
 periods.

@param {number} $nLoanAmount - Amount borrowed.
@param {number} $nPeriodicRate - Interest rate per period, as a decimal.
@param {integer} $qPeriods - Number of installments.
@returns {array<Map>} - One entry per period: period, interest, principal, balance.
*/

/**
 @contract
 {
   "cases": [
     { "$nLoanAmount": 10000, "$nPeriodicRate": 0.01, "$qPeriods": 6 }
   ]
 }
*/

const $aAmortizationSchedule = function($nLoanAmount: any, $nPeriodicRate: any, $qPeriods: any): any[] {
  // Fixed installment amount, constant across every period.
    const $nInstallment: number = $nLoanAmount * $nPeriodicRate / (1 - Math.pow(1 + $nPeriodicRate, -1 * $qPeriods));

    const $aSchedule: any[] = [];
    let $nBalance: number = $nLoanAmount;

    for (let $qPeriod = 1; $qPeriod <= $qPeriods; $qPeriod = $qPeriod + 1) {
    // Interest is charged on the balance still outstanding at the start
        // of this period.
        const $nInterest: number = $nBalance * $nPeriodicRate;
        // Whatever the installment doesn't cover in interest pays down principal.
        const $nPrincipalPaid: number = $nInstallment - $nInterest;
        $nBalance = $nBalance - $nPrincipalPaid;

        $aSchedule.push( JSOL.dict(
            "period",  $qPeriod, 
            "interest",  $nInterest, 
            "principal",  $nPrincipalPaid, 
            "balance",  $nBalance
        ));
  }
  return $aSchedule;
};

import math
from jsol_core import JSOL

# @JSOL v0.2.91

#*
# @description
# Builds a fixed-installment loan amortization schedule (the "French
# system"): every period pays the same total installment, but the split
# between interest and principal shifts over time — interest shrinks as the
# outstanding balance shrinks, principal grows to compensate.
#  Fixed installment formula: A = P * r / (1 - (1+r)^-n), where P is the
# loan amount, r is the periodic interest rate, and n is the number of
# periods.
#
#@param {number} $nLoanAmount - Amount borrowed.
#@param {number} $nPeriodicRate - Interest rate per period, as a decimal.
#@param {integer} $qPeriods - Number of installments.
#@returns {array<Map>} - One entry per period: period, interest, principal, balance.
#

#*
# @contract
# {
#   "cases": [
#     { "$nLoanAmount": 10000, "$nPeriodicRate": 0.01, "$qPeriods": 6 }
#   ]
# }
#

def aAmortizationSchedule(nLoanAmount, nPeriodicRate, qPeriods): 

  # Fixed installment amount, constant across every period.
  nInstallment = nLoanAmount * nPeriodicRate / (1 - pow(1 + nPeriodicRate,  -1 * qPeriods));

  aSchedule = [];
  nBalance = nLoanAmount;

  qPeriod = 1;
  while qPeriod <= qPeriods: 

    # Interest is charged on the balance still outstanding at the start
    # of this period.
    nInterest = nBalance * nPeriodicRate;
    # Whatever the installment doesn't cover in interest pays down principal.
    nPrincipalPaid = nInstallment - nInterest;
    nBalance = nBalance - nPrincipalPaid;

    aSchedule.append( JSOL.dict(
    "period",  qPeriod, 
    "interest",  nInterest, 
    "principal",  nPrincipalPaid, 
    "balance",  nBalance
    ));

    qPeriod = qPeriod + 1;


  return aSchedule;

Each example started as a test.

The language and compiler improved because of what these examples demanded. The CLRS examples are here for the same reason: if JSOL aims to be a language someone can read rather than just compile, it has to survive contact with computer science, not just invoicing.

💳

Strict Validation

Luhn, IBAN, CUIT, ISBN-13. Checksum algorithms that have to produce the exact same result in the browser and on the server: the exact scenario where a divergent implementation means a rejected payment or a failed compliance check.

📈

Finance & Rules

Loan amortization, progressive tax tiers, stacked discounts, shipping rate matrices. Rules that change when the business changes, and that silently produce wrong invoices when the frontend and backend disagree.

🧮

Computer Science

Dynamic Programming vs. Greedy (Coin Change), searching algorithms, sorting algorithms, Caesar/Rot13 ciphers, Sieve of Eratosthenes. Executable pseudocode that compiles and runs, not just sits in a textbook.

What JSOL is NOT

JSOL is not a full-stack framework, and it's not a general-purpose language. It is an isolated, pure, synchronous calculator. It doesn't touch the DOM, it doesn't make network requests (no fetch or Async), and it doesn't talk to databases.

Every alternative to JSOL (like Haxe or WebAssembly) buys generality or performance at the cost of requiring a toolchain. JSOL buys zero-toolchain portability by aggressively restricting what you can write.

The Honest Tradeoffs (Where JSOL is worse)

JSOL costs more to write than a native implementation. These are the engine-level restrictions you accept when using it:

Feature	Native JS / PHP	JSOL	Why it was stripped
Developer Speed	Fast (Syntactic sugar, functional methods)	Slower (Spartan syntax, mandatory imperative loops)	Functional arrays and sugar don't map 1:1 across engines without AST pipelines.
Control Flow	Async, Promises, Threads	Strictly Synchronous (Single-thread blocking)	Async control flow has no shared syntax between JS and PHP.
State & OOP	Classes, `this`, Prototypes	Flat Dicts & Primitives (Higher GC pressure)	Classes diverge wildly. Forbidding them guarantees O(1) property access but forces state copying for large loops.
Text Parsing	Native Regex (PCRE / V8)	Procedural loops only (No native regex)	Regex engines differ. Complex patterns can cause ReDoS in one engine but not another.

Design Pillars

Four principles shape every rule in the specification.

1. Clarity

A JSOL algorithm has to be readable by the person who owns the business logic, not just by a compiler.

This is also why JSOL doesn't standardize how you structure code (nested functions vs. flat scope, for instance) — that's implementation shape, not business logic.

2. Portability

The same source runs correctly on every proven target.

This is where Deterministic Parity comes from: given identical inputs, every target's output has to match, bit for bit.

3. Performance

The compiled output should be no heavier and no slower than it has to be.

This is where Zero Dead Code comes from: nothing gets shipped that a given file doesn't actually use.

4. Developer Experience

Writing, compiling, and debugging JSOL should be as frictionless as the constraints allow.

This is where the AST-free compiler pipeline and Zero Runtime Dependencies come from.

This is an open problem, not a finished product

JSOL works today for JavaScript, PHP, TypeScript and Python. The compiler is self-hosting (i.e., it compiles itself) and the fixed-point convergence tests prove that the output is stable across generations and hosts. But the really interesting work is what comes next.

The project's real bet is that the same approach can extend to other targets. TypeScript, Go, C#, Python, Rust, C: each one is a separate compiler backend, and each one teaches you something different about what "portable business logic" actually requires.

If you're a CS educator or student, EXTENDING.md lays out the feasibility matrix, the JSOL-C leverage effect, and the specific compiler design problems involved.

Fork it. Break it. Build a target. The compiler architecture is deliberately modular: adding a language means writing one compiler file, not rewriting the core.

Contribute on GitHub Read the Documentation