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temporal97

v0.1.2

Published

A TypeScript temporal graph with snapshot-based time travel and mutation history tracking.

Readme

temporal97

A TypeScript temporal graph with snapshot-based time travel and mutation history tracking.

CI npm version license

Overview

temporal97 is a fully-typed graph data structure that records every change as an immutable log. You can replay history forward with advance(), undo it with rewind(), or jump to any point in time with seekTo(). Point-in-time queries let you read the value of any node or edge without moving the cursor.

Installation

npm install temporal97
# or
pnpm add temporal97
# or
yarn add temporal97

Quick Start

import { TemporalGraph } from "temporal97";

const graph = new TemporalGraph();

graph.append({
  snapshot: 0,
  mutations: [
    { kind: "node", op: "set", id: "a", value: { label: "Alice" } },
    { kind: "node", op: "set", id: "b", value: { label: "Bob" } },
    {
      kind: "edge",
      op: "set",
      id: "a->b",
      value: { source: "a", target: "b", weight: 1 },
    },
  ],
});

graph.append({
  snapshot: 1,
  mutations: [
    {
      kind: "edge",
      op: "set",
      id: "a->b",
      value: { source: "a", target: "b", weight: 5 },
    },
  ],
});

console.log(graph.getEdge("a->b")); // { source: "a", target: "b", weight: 5 }
console.log(graph.getEdgeAt("a->b", 1)); // { source: "a", target: "b", weight: 1 }

graph.rewind(1);
console.log(graph.getEdge("a->b")); // { source: "a", target: "b", weight: 1 }

Documentation

Full documentation — API reference, core concepts, and integration guides — is available at joehentges.github.io/temporal97.

Concurrency

temporal97 is single-writer by design. Concurrent writes from multiple sources will produce incorrect history. For multi-writer scenarios, serialize mutations through a single event log (Kafka, EventStore, a database queue) and project the ordered stream into the graph. If you need distributed collaboration, use a CRDT (Yjs, Automerge) as the source of truth and feed its resolved operations into temporal97 as a read model.

Contributing

Contributions are welcome! Please open an issue or submit a pull request.

  1. Fork the repo
  2. Create your feature branch: git checkout -b feat/my-feature
  3. Commit your changes using Conventional Commits
  4. Push and open a pull request

License

MIT © JoeHentges