Skip to main content

timeskeleton

TimeSkeleton is the versioned JSON Schema for the structural serialization of musical timelines, with golden fixtures emitted by timetoalign and validation and migration packages for Python and TypeScript. It carries timeline structure, not event data.

Status: alpha. Version 0.2.1 offers the schema (0.2.1, with 0.2.0 and 0.1.0 kept validatable), validators in Python and TypeScript that locate a violation under one shared path rule, the canonical order of a document and one standard writer per language that writes the same document as the same bytes, a lossless JSON reader for TypeScript, the migrations from 0.1.0 to 0.2.0 and from 0.2.0 to 0.2.1 in both packages, and the golden, rejection, and migration fixtures. The format may still change incompatibly in a later 0.x version; every such change ships with a migration.

The document

A TimeSkeleton document is a JSON object with meta and manifest. meta.schema_version selects the schema and meta.generator is optional. manifest.timelines maps timeline ids to manifests matching timetoalign's Timeline.to_dict(events=False) output: axis (class, unit, number_type, length), child timelines at exact offsets, conversion maps, regions, flow control, measure map, and metric hierarchy. Event tables travel separately, typically as Arrow or Parquet data, and are referenced rather than embedded.

Every coordinate-valued member is an object with unit, number_type, and value. Its number type selects the value representation: an integer is a JSON integer, a float is a JSON number, and a fraction is a [numerator, denominator] pair of JSON integers with a strictly positive denominator, mirroring BOPP.

Version 0.2.0 specifies conversion maps, regions, flow control, and measure maps in addition to the envelope, timeline manifests, and typed coordinates. metric_hierarchy remains opaque. Version 0.2.1 keeps every definition of 0.2.0 and fixes the order in which writers emit a document (see Canonical order). Version 0.1.0 retains its original opaque members. The 0.2.1 schema identifier is https://timetoalign.github.io/timeskeleton/0.2.1/timeskeleton.schema.json.

Since 0.2.0, a measure map is the Measure Map standard's compressed row array: entries equal to the preceding entry's default successor are omitted. A row is the standard's Measure plus two extensions: the integer volta, and offset_within_measure, where the row begins inside its nominal measure in quarter notes (an anacrusis, or one constituent of a split measure; absent means 0). Lengths are strictly positive and qstamp is non-negative; exact Fraction pairs are permitted wherever the standard uses JSON numbers. A measure map is anchored in quarter notes, so only a timeline whose unit is quarters may carry one.

The schema is the source of truth for timetoalign, the TimeLineEditor browser application, and its server. timetoalign's hand-written serialization is tested for schema conformance and fixture round trips. TypeScript types are generated in this repository, never by downstream consumers.

Canonical order

Readers accept the collections of a document in any order. Writers emit one canonical order, so that equal documents are equal text:

  • manifest.timelines by id;
  • in every timeline manifest, at every depth: children by offset, then id;
  • conversion_maps by id;
  • regions by start, then end, then name;
  • flow-control breaks by coordinate, then canonical JSON text;
  • flow-control jumps by from coordinate, then to coordinate, then canonical JSON text;
  • flow-control markers by name.

Coordinates compare by their exact numeric value, never by their JSON spelling: 9 comes before 10, and [5, 8] before [2, 3]. Strings compare by Unicode code point, not by UTF-16 code unit, so "~" (U+FF5E) comes before "🎵" (U+1F3B5). The canonical JSON text of an entry has its object keys sorted by code point and no whitespace. Nothing else is reordered: the members of a timeline manifest, meta objects, conversion-map payloads and measure_map rows keep their order.

The standard writer

Each package has one writer, dumps. It puts the document in canonical order and writes it as UTF-8 text with two-space indentation and a final newline. Every character is written unescaped except ", \ and the control characters U+0000 to U+001F. A float is always written as a float, with a decimal point or an exponent, spelled exactly as Python's repr spells it (2.0, 0.0001, 1e-05, 1e+16, -0.0); an integer is never written with a decimal point or an exponent, however large. A NaN, an infinity, or a string holding a lone surrogate (which UTF-8 cannot encode) is refused. The Python and TypeScript writers write the same document as the same bytes; the golden fixtures are written by it.

Install

pip install timeskeleton
pnpm add @timetoalign/timeskeleton
# or
npm install @timetoalign/timeskeleton

Usage

Python

Python validation raises SchemaValidationError with a tuple path to the offending value. migrate() returns a deep-copied document at the latest supported version. Read documents with json.loads, which keeps integers and floats apart and every integer exact; write them with dumps.

import json

from timeskeleton import SchemaValidationError, dumps, fixture_paths, migrate, validate

document = json.loads(fixture_paths()[0].read_text(encoding="utf-8"))
try:
    validate(document)
except SchemaValidationError as error:
    print(error.path)
else:
    text = dumps(migrate(document))
  • dumps(value) returns the standard text of a document, or of any JSON value. It raises ValueError for a NaN, an infinity, a lone surrogate, or a collection whose entries lack the members it is ordered by. It is json.dumps(canonical_order(value), indent=2, ensure_ascii=False) plus a final newline.
  • canonical_order(value) returns a deep copy with the document in canonical order. Only the collections a document holds where a document holds them are reordered, so any other JSON value is copied unchanged.
  • canonical_json(value) returns the canonical JSON text of a value: keys sorted by code point, no whitespace.

TypeScript

JSON.parse loses what the format distinguishes: it reads 2.0 as the integer 2, rounds integers beyond 2^53, and lists array-index keys such as "10" before every other key whatever order they were written in. The package therefore reads documents itself.

import {
  dumps,
  migrate,
  parse,
  SchemaValidationError,
} from "@timetoalign/timeskeleton";

function load(text: string): string {
  try {
    const document = parse(text);
    return dumps(migrate(document));
  } catch (error) {
    if (error instanceof SchemaValidationError) {
      console.error(error.path);
    }
    throw error;
  }
}
  • parse(text) reads a document without losing a number or the order of a key and validates it against the schema version it declares. It returns a Lossless<TimeSkeletonDocument> and throws SyntaxError for text that is not one JSON value, RangeError for a float beyond the range of a double, and SchemaValidationError for an invalid document.
  • parseJson(text) reads any JSON text the same way, without validating it, and returns a Lossless<Json>.
  • validate(value) narrows an unknown value to TimeSkeletonDocument and accepts values read by parseJson, checking their numbers by value. migrate(value) returns the document at the latest version and keeps the JsonNumbers of such a value.
  • dumps(value) is the standard writer. It throws RangeError for a non-finite number or a lone surrogate, and TypeError for a value that is not JSON or a collection it cannot order.
  • compactJson(value) writes a value with no whitespace and every object's keys in their own order (the written order for a value read by parseJson), numbers and strings spelled as Python spells them; parseJson reads it back to an equal value. canonicalJson(value) writes the same text with keys sorted by code point, as Python's canonical_json does.
  • canonicalOrder(value) returns a deep copy with the document in canonical order, as Python's canonical_order does.

A number read by parseJson is a JsonNumber:

JSON text JsonNumber
an integer within ±(2^53 − 1), such as 480 a number
an integer beyond that range, such as 9007199254740993 a bigint
a float with a fractional part, such as 0.5 a number
an integral float, such as 2.0, 1e+16 or -0.0 a JsonFloat, whose value is the number

-0 (without a decimal point) is the integer 0, as in Python. Lossless<T> is the type T with every number replaced by JsonNumber; Json is any JSON value as JSON.parse types it. The writers read the same representation back: a bigint or an integral number is written as an integer, a JsonFloat or a number with a fractional part (or -0) as a float. A float whose value is an integer must therefore be passed as new JsonFloat(2), never as 2. isJsonFloat(value) tells a JsonFloat apart, and isJsonObject(value) tells a JSON object from an array, a JsonFloat and every other value.

JavaScript code outside this package that writes these documents must not use JSON.stringify, which spells every number as a JavaScript number and every object in Object.keys order. It must emit each object's members itself, in their intended order, and spell numbers by their JsonNumber representation; dumps and compactJson do both. An object built in JavaScript lists array-index keys first whatever order they were added in; objects read by parseJson or returned by canonicalOrder record their intended order, and the writers honour it.

Versioning and migrations

meta.schema_version identifies a document's contract. Every published schema version remains validatable. Both packages provide migrate() as an ordered sequence of pure migration functions from earlier versions to the latest, with each migration pinned by a before-and-after fixture pair.

The first migration, 0.1.0 to 0.2.0, rewrites the shapes timetoalign wrote at 0.1.0 that 0.2.0 specifies differently: a tagged-measure measure map becomes compressed rows, and a MetricalPositionMap keeps its meter map once and names its derived beat map by beat_map_id. A member whose shape the migration does not know raises MigrationError with the member's path; a migrated document satisfies 0.2.0.

The second migration, 0.2.0 to 0.2.1, declares version 0.2.1, validates the document against it, and then puts it in canonical order; the shapes are unchanged. A document that does not satisfy 0.2.1 raises MigrationError at the path of the offending member in the input. Each migration returns the document declaring its own target version.

A timeskeleton release is a schema-version event: one vX.Y.Z tag publishes both packages through trusted publishing without stored registry tokens. scripts/check_versions.py verifies that all version declarations agree before release.

Fixtures

The golden fixtures are emitted only by scripts/emit_fixtures.py using timetoalign and ship in both packages. Each records the timetoalign version and commit in meta.generator; do not edit golden fixture JSON by hand. The rejection cases and migration pairs beside them are authored by hand.

Development

Clone the repository, then run the package commands in their indicated directories.

git clone https://github.com/TimeToAlign/timeskeleton.git
cd timeskeleton/python
uv sync
uv run pytest
cd js
pnpm install
pnpm test
pnpm generate
pnpm build

To re-emit fixtures, use an interpreter whose environment contains the timetoalign revision being represented:

python scripts/emit_fixtures.py --timetoalign-commit "$(git -C /path/to/timetoalign rev-parse --short HEAD)"

From the repository root, check that all version declarations agree:

python3 scripts/check_versions.py

Releasing

See CONTRIBUTING.md for the required version updates, checks, tag, and trusted-publishing configuration.

License

MIT.

Metadata

Release files for timeskeleton 0.2.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for timeskeleton 0.2.1
File Size Uploaded
timeskeleton-0.2.1.tar.gz 92.1 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for timeskeleton 0.2.1
File Interpreter ABI Platform
timeskeleton-0.2.1-py3-none-any.whl Python 3 none any Details

Total release size: 240.6 kB

Release files / timeskeleton-0.2.1.tar.gz

Download URL timeskeleton-0.2.1.tar.gz
Size 92.1 kB
Tags Source
SHA-256 checksum
How to use checksums
9ca0c654a88bb4792ff65dd16463929e5993b08c03b767ca6f86a62694743dee
BLAKE2b-256 checksum
How to use checksums
ef1e3725392a31ef9d0feb3c179a6da4a5aaef01af8d10095c74bc3c9880f306
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 10, 2026.

Transparency log

Release files / timeskeleton-0.2.1-py3-none-any.whl

Download URL timeskeleton-0.2.1-py3-none-any.whl
Size 148.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
5cb2a92faabc0e0cd98224fda970f5667aac498a353c884eb91b4559aae63602
BLAKE2b-256 checksum
How to use checksums
0d615a266aa1841b1e41e2bd6ae72a197eb01688430882034aec73beeba6db4a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 10, 2026.

Transparency log

Release history Release notifications | RSS feed

0.3.0

2 release files

This release

0.2.1 This release

2 release files

0.2.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page