TypeScript SDK for the Geoapify Route Planner API. Supports route optimization, delivery planning, and timeline visualization in browser and Node.js
npm install @geoapify/route-planner-sdk


The Geoapify Route Optimization SDK is a lightweight, dependency-free TypeScript library that simplifies building, executing requests, and modifying results for the Geoapify Route Planner API. It helps you easily implement advanced route optimization and delivery planning in both frontend (browser) and backend (Node.js) environments.
- Features
- Installation
- Quick Start
- Getting API Key
- Import the SDK
- Example: Create Shipment / Delivery Task
- Example: Create Job Optimization Task
- Full Documentation
- Modifying Route Results
- Example: Assign Jobs to the Agent
- Example: Assign Shipments to the Agent
- Example: Remove Jobs
- Example: Remove Shipments
- Example: Add New Jobs
- Example: Add New Shipments
- Timeline Generation
- Example: Generate Placeholder Timeline without Waypoints
- Example: Generate Timeline with Optimized Routes
- Example: Timeline with Custom Popup and Agent Actions
- Timeline Setup Requirements
- Useful Links
- When to Use
The Geoapify Route Optimization SDK provides a modern, dependency-free way to interact with the Geoapify Route Planner API, making it easy to implement complex logistics workflows in both browser and backend environments.
Supported Use Cases:
- Route optimization
- Delivery planning
- Pickup/drop-off scheduling
- Time-constrained and multi-agent logistics
Developer Convenience:
- Build and send optimization requests
- Interpret results (e.g., agent timelines, task sequences)
- Reassign jobs or shipments between agents
- Modify planned routes dynamically
Visualization Support:
- Extract structured timeline and status data for each agent
- Analyze and display routes and schedules using charts or maps
Install the SDK from NPM:
``bash`
npm install @geoapify/route-planner-sdk
To use the Route Optimization SDK, you need a valid Geoapify API Key.
1. Go to the Geoapify page.
2. Sign up for a Geoapify account. No credit card is required.
3. Use the created by default or create a new API key.
You can start with the Free Plan which includes usage limits suitable for testing and small projects.
For commercial use and higher request volumes, consider upgrading your plan.
`ts`
import RoutePlanner, { Agent, Job } from "@geoapify/route-planner-sdk";
const planner = new RoutePlanner({ apiKey: "YOUR_API_KEY" });
Or use in HTML:
`html`
`ts
const planner = new RoutePlanner({apiKey: API_KEY});
planner.setMode("drive");
planner.addAgent(new Agent().setStartLocation(44.50485912329202, 40.177547000000004).addTimeWindow(0, 7200));
planner.addAgent(new Agent().setStartLocation(44.50485912329202, 40.177547000000004).addTimeWindow(0, 7200));
planner.addAgent(new Agent().setStartLocation(44.50485912329202, 40.177547000000004).addTimeWindow(0, 7200));
planner.addLocation(new Location().setId("warehouse-0").setLocation(44.5130974, 40.1766863));
planner.addShipment(new Shipment().setId("order-1")
.setDelivery(new ShipmentStep().setDuration(120).setLocation(44.50932929564537, 40.18686625))
.setPickup(new ShipmentStep().setDuration(120).setLocationIndex(0)));
planner.addShipment(new Shipment().setId("order-2")
.setDelivery(new ShipmentStep().setDuration(120).setLocation(44.511160727462574, 40.1816037))
.setPickup(new ShipmentStep().setDuration(120).setLocationIndex(0)));
planner.addAvoid(new Avoid().setType("tolls"));
planner.addAvoid(new Avoid().addValue(40.50485912329202, 42.177547000000004).setType("locations"));
planner.setTraffic("approximated")
planner.setType("short")
planner.setUnits("metric");
planner.setMaxSpeed(10)
const result = await planner.plan();
`
`js
const planner = new RoutePlanner({apiKey: API_KEY});
planner.setMode("drive");
planner.addAgent(new Agent().setStartLocation(44.52566026661482, 40.1877687).addTimeWindow(0, 10800).setEndLocation(44.486653350000005, 40.18298485).setPickupCapacity(10000));
planner.addAgent(new Agent().setStartLocation(44.52244306971864, 40.1877687).addTimeWindow(0, 10800));
planner.addAgent(new Agent().setStartLocation(44.505007387303756, 40.1877687).addTimeWindow(0, 10800).setEndLocation(44.486653350000005, 40.18298485).setPickupCapacity(10000));
planner.addJob(new Job().setDuration(300).setPickupAmount(60).setLocation(44.50932929564537, 40.18686625));
planner.addJob(new Job().setDuration(200).setPickupAmount(20000).setLocation(44.50932929564537, 40.18686625));
planner.addJob(new Job().setDuration(300).setPickupAmount(10).setLocation(44.50932929564537, 40.18686625));
planner.addJob(new Job().setDuration(300).setPickupAmount(0).setLocation(44.50932929564537, 40.18686625));
const result = await planner.plan();
`
Looking for full API references, usage examples, and SDK architecture details?
š Explore the full documentation here:
https://geoapify.github.io/route-planner-sdk/
You can edit planned routes easily using RoutePlannerResultEditor.
`ts`
const routeEditor = new RoutePlannerResultEditor(result);
await routeEditor.assignJobs('agent-a', ['job-2']);
let modifiedResult = routeEditor.getModifiedResult();
`ts`
const routeEditor = new RoutePlannerResultEditor(result);
await routeEditor.assignShipments('agent-b', ['shipment-2']);
let modifiedResult = routeEditor.getModifiedResult();
`ts`
const routeEditor = new RoutePlannerResultEditor(plannerResult);
await routeEditor.removeJobs(['job-2']);
let modifiedResult = routeEditor.getModifiedResult();
`ts`
const routeEditor = new RoutePlannerResultEditor(plannerResult);
await routeEditor.removeShipments(['shipment-4']);
let modifiedResult = routeEditor.getModifiedResult();
`ts`
let newJob = new Job()
.setLocation(44.50932929564537, 40.18686625)
.setPickupAmount(10)
.setId("job-5");
await routeEditor.addNewJobs('agent-A', [newJob]);
let modifiedResult = routeEditor.getModifiedResult();
`ts`
let newShipment = new Shipment()
.setPickup(new ShipmentStep().setLocation(44.50932929564537, 40.18686625).setDuration(1000))
.setDelivery(new ShipmentStep().setLocation(44.50932929564537, 40.18686625))
.addRequirement('heavy-items')
.setId("shipment-5");
await routeEditor.addNewShipments('agent-A', [newShipment]);
let modifiedResult = routeEditor.getModifiedResult();
RoutePlannerTimeline generates a visual timeline for delivery routes, agents, waypoints, and jobs. It can display either the planned input data or the computed solution, supporting both time-based and distance-based views.
Creates an empty placeholder timeline based solely on the input data ā no routing solution is computed, and no waypoints are included:
`ts
const container = document.getElementById('timeline-container');
new RoutePlannerTimeline(container, inputData, undefined, {
timelineType: 'time',
hasLargeDescription: false,
capacityUnit: 'liters',
agentLabel: 'Truck',
label: "Simple delivery route planner",
description: "Deliver ordered items to customers within defined timeframe",
agentColors: ["#ff4d4d", "#1a8cff", "#00cc66", "#b300b3", "#e6b800", "#ff3385",
"#0039e6", "#408000", "#ffa31a", "#990073", "#cccc00", "#cc5200", "#6666ff", "#009999"],
}
);
`
You can first generate an empty placeholder timeline and later initialize it using the setResult() function with the routing result data
Displays a complete timeline that includes the computed routing results, along with interactive waypoint popups for each stop.
Let me know if you'd like to emphasize route optimization, travel times, or interactivity more explicitly.
`ts
const container = document.getElementById('timeline-container');
new RoutePlannerTimeline(container, inputData, result, {
timelineType: 'time',
hasLargeDescription: false,
capacityUnit: 'liters',
agentLabel: 'Truck',
label: "Simple delivery route planner",
description: "Deliver ordered items to customers within defined timeframe",
showWaypointPopup: true,
agentColors: ["#ff4d4d", "#1a8cff", "#00cc66", "#b300b3", "#e6b800", "#ff3385",
"#0039e6", "#408000", "#ffa31a", "#990073", "#cccc00", "#cc5200", "#6666ff", "#009999"],
}
);
`
`ts
const customWaypointPopupGenerator = (waypoint: Waypoint): HTMLElement => {
const popupDiv = document.createElement('div');
popupDiv.innerHTML =
Duration: ${this.toPrettyTime(waypoint.getDuration()) || 'N/A'}
Time Before: ${this.toPrettyTime(waypoint.getStartTime()) || 'N/A'}
Time After: ${this.toPrettyTime(waypoint.getStartTime() + waypoint.getDuration()) || 'N/A'}
;
return popupDiv;
};const agentActions: TimelineMenuItem[] = [
{
key: 'show-hide-agent',
label: 'Hide Route',
callback: (agentIndex: number) => {
console.log(
Agent ${agentIndex} visibility toggled);
}
},
{
key: 'second-button',
label: 'Test Button',
disabled: false,
hidden: false,
callback: (agentIndex: number) => {
console.log(Agent ${agentIndex} test button clicked);
}
}
];const container = document.getElementById('timeline-container');
const timeline = new RoutePlannerTimeline(container, inputData, undefined, {
timelineType: 'time',
hasLargeDescription: false,
capacityUnit: 'liters',
agentLabel: 'Truck',
label: 'Simple delivery route planner',
description: 'Deliver ordered items to customers within defined timeframe',
timeLabels: this.timeLabels, // optional
showWaypointPopup: true,
waypointPopupGenerator: customWaypointPopupGenerator,
agentMenuItems: agentActions,
agentColors: ['#ff4d4d', '#1a8cff', '#00cc66', '#b300b3']
});
// Optional: Listen to hover events
timeline.on('onWaypointHover', (waypoint: Waypoint, agentIndex: number) => {
console.log('Hovered waypoint:', waypoint, 'Agent:', agentIndex);
});
// Optional: Listen to click events
timeline.on('onWaypointClick', (waypoint: Waypoint, agentIndex: number) => {
console.log('Clicked waypoint:', waypoint, 'Agent:', agentIndex);
});
// Optional: Modify menu items dynamically before they are shown
timeline.on('beforeAgentMenuShow', (agentIndex: number, actions: TimelineMenuItem[]) => {
return actions.map(action => {
if (action.key === 'show-hide-agent') {
return {
...action,
label: this.agentVisibilityState[agentIndex] ? 'Show Route' : 'Hide Route'
};
}
return action;
});
});
`$3
- Include the timeline-specific CSS:
./node_modules/@geoapify/route-planner-sdk/styles/minimal.css
- Ensure that your HTML container ('timeline-container') is present and ready to render the timeline
- Import the necessary types for the timeline feature, such as RoutePlannerInputData and RoutePlannerResult`- Geoapify Route Planner API Overview
- API Playground
- API Documentation
The Geoapify Route Optimization SDK is ideal for:
- Delivery and logistics platforms
- Multi-agent job dispatching
- Shipment planning and optimization
- Interactive route editing and visualization
Simplify your logistics and delivery operations with automated and flexible route optimization.