pygeoapi Hosting Live In 5 Minutes

pygeoapi hosting publishes a geospatial dataset on your own domain as an OGC API Features server with a browsable HTML interface. Deploy pygeoapi 0.24.0 as one pinned container with a starter points collection and its configuration on a persistent volume, served over HTTPS in minutes. The collection is public and read-only by design, so it suits open data that you are happy to publish to anyone.

Deploy your pygeoapi

No terminal
No technical skills needed
No lock-in, cancel anytime

What is pygeoapi?

pygeoapi is a Python server implementation of the OGC API suite of standards. It lets organisations deploy RESTful endpoints for geospatial data that use OpenAPI, GeoJSON and HTML, with Features, Tiles and Environmental Data Retrieval as reference implementations upstream. A self-hosted pygeoapi is an alternative to publishing data through a proprietary mapping platform such as ArcGIS Online, released under the MIT licence, with an extensible plugin framework for data providers.

On xCloud it is pygeoapi 0.24.0 from the upstream image, pinned by digest, as one container with places.csv and local.config.yml on the pygeoapi_data volume. xCloud serves it over HTTPS and takes a dataset title and description at install. The baseline exposes only a public, read-only collection: no administrative API, processes, remote providers or accounts.

From Sign-Up to a Live pygeoapi In Just 3 Easy Steps

Publishing geospatial data as an API needs the server, a configuration file, a dataset, a domain and a certificate before the first feature request. This is the same result without assembling any of it.

Step 01
Sign Up
Create your xCloud account and pick pygeoapi from the OneClick catalog. Choose your domain and give the starter collection a public title and description; those are the only fields.
Step 02
We Deploy It For You
One click. We start geopython/pygeoapi:0.24.0, pinned by digest, mount pygeoapi_data, create the starter places.csv and local.config.yml on first start and publish the service over HTTPS.
Step 03
Browse The Places Collection
Open your HTTPS URL, browse the API landing page and the places collection, and request a feature or a bounding-box query. To publish your own data, update the dataset and config in the volume, then Restart.

Publish Geospatial Data As An API: pygeoapi On Your Own Server

pygeoapi runs here as a read-only OGC API server, with the dataset and configuration on a volume you control.

OGC API Features
Serves a collection of point features through the OGC API Features standard, which upstream lists as a reference implementation.
Browsable HTML Interface
Open the landing page and collections in a browser, alongside JSON and GeoJSON, with CSV output also listed upstream.
OpenAPI Documentation
Upstream generates Swagger and OpenAPI documentation for the endpoints, recreated at startup, so clients can see what the API offers.
Spatial And Attribute Queries
Filter features by bounding box, time or attribute values; verify a bounding-box query after any restore.
Starter Dataset You Replace
The first start creates a small places.csv. Replace it and the config through protected server operations to publish your own points.
A Deliberately Small Baseline
No admin API, process execution, remote WFS providers, MQTT or accounts are exposed, so the public surface is the read-only collection.

Everything You Need To Run Your Geo API 24/7

Managed hosting for pygeoapi, so the parts that keep it online are not your problem.

pygeoapi 0.24.0 deployed instantly
Image pinned by digest
Read-only public collection
No admin surface exposed
Free SSL certificate
Dataset and config on a persistent volume
Server backups and snapshots
30+ server locations
Unused balance refunded

What You Can Do With pygeoapi

Publish an open dataset as a standard API
Offer a points dataset through OGC API Features so GIS clients and scripts can query it with standard requests.
Give a project a browsable data page
Share a collection link that anyone can open in a browser, with the same data available as GeoJSON.
Prototype before adding real providers
Start from the small starter collection to learn the API, then plan a separate review before wiring larger data.
Document an API for developers
Point developers at the generated OpenAPI documentation to see the endpoints and parameters available.

pygeoapi vs Alternatives

ArcGIS Online: As a self-hosted alternative to ArcGIS Online for publishing open points data, pygeoapi serves OGC API Features from your own domain under the MIT licence.
GeoServer: GeoServer has its own OneClick page. In a pygeoapi vs GeoServer comparison, pygeoapi is a lightweight Python OGC API server, configured in YAML, with data provider plugins.
Static GeoJSON files: Serving a GeoJSON file works for small data, but pygeoapi adds the OGC API endpoints, filtering by location and attribute, and generated OpenAPI docs.
Hosted open-data portals: A hosted portal stores your data on someone else's infrastructure. Here the dataset lives in a volume on a server dedicated to you.

Simple Pricing. Everything Included.

Dedicated Cloud VPS sizes, pre-configured for pygeoapi hosting. Pick the one that fits, and resize any time.

Cloud VPS 6 GB

Cloud VPS 16 GB

More headroom for larger datasets after your own review.

59.99per month

16 GB RAM
6 vCPU cores
200 GB NVMe SSD
30 TB
Unlimited

Get started

Every size is a dedicated Cloud VPS we provision, patch, monitor and restore. Billed monthly with no lock-in — delete the server and the unused balance comes back to your account. pygeoapi is licensed under MIT.

Docker hosting

Already Have a Server? Bring Your Own

Connect any VPS — DigitalOcean, Vultr, Linode, AWS, Hetzner or bare metal — and deploy pygeoapi on it through the same panel, for a per-server management fee instead of a Cloud VPS rental.

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The same platform, discounted at 6–10 servers.

$4per server / month

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Agency

The same platform, discounted at 11+ servers.

$3per server / month

11+ servers
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All features included
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Priced per connected server, so your rate adjusts automatically as you add or remove servers. You pay your own provider for the server itself.

Self-managed hosting

Ready To Publish Your Geospatial API?

pygeoapi on xCloud runs on a dedicated Cloud VPS that we provision, patch, monitor and restore. Your dataset, your endpoints, your domain.

Fast Provisioning
Deploy faster using an xCloud Managed Server built with optimized stacks and high-speed SSDs.
Enterprise-grade security
Protect your infrastructure with a free SSL certificate and more advanced security features at no additional cost.
Intuitive Control Panel
From Server creation to application deployment, everything can be managed from our intuitive control panel.

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Frequently Asked Questions

Feel free to contact us with any questions or concerns you may have.

Can you self-host pygeoapi with Docker?

Yes. Upstream publishes an official Docker image, and this template is pygeoapi Docker hosting without the setup: the 0.24.0 image pinned by digest, a data volume, a starter collection and HTTPS on your own domain.

How much RAM does pygeoapi need?

The manifest asks for 2048 MB of RAM, 2 CPU cores and 8 GB of disk, which targets small local CSV datasets. Larger vector data, rasters, processing or remote providers need separate sizing and security review.

Is the pygeoapi dataset public?

Yes. The starter places collection is public and read-only by design, and the template has no login or admin console. Do not place private, regulated or licensed data in it without a separate access-control design.

How do I add my own data to pygeoapi?

Update the dataset and configuration inside the pygeoapi_data volume through protected server operations, then Restart or Redeploy from xCloud. The template exposes no admin API, so there is no upload page in the app itself.

Which OGC API standards does pygeoapi support?

Upstream lists Features, Tiles and Environmental Data Retrieval as reference implementations and Processes as compliant, with Coverages, Maps, Records and STAC being implemented. This template publishes only a Features collection, so the other standards are not offered in this baseline.

Is pygeoapi open source?

Yes. The MIT licence covers pygeoapi, so running it costs nothing in licence fees. What you pay for is the dedicated Cloud VPS beneath it, which turns this into a pygeoapi cloud of your own and not a hosted mapping subscription.

What is the difference between pygeoapi and GeoServer?

Both publish geospatial data. Upstream describes pygeoapi as an OGC API server in Python with simple YAML configuration and provider plugins. GeoServer has its own OneClick page, so compare the standards and formats you need.

How do I back up pygeoapi?

Back up the whole pygeoapi_data volume as one unit, since it holds both the dataset bytes and the API configuration. Restore it with the matching image version, then check the landing page, a collection, a feature and a bounding-box query.

Backup and restore Docker apps

How do I upgrade pygeoapi?

The install stays on its pinned 0.24.0 image until you adopt a newer template version. Review the target configuration and provider compatibility, take a volume backup first, and keep the previous image pin so you can roll back.

Can I cancel anytime?

Yes. There is no lock-in — cancel any time. Hosting is billed monthly and charged for what you actually use, so when you delete the server the unused balance is refunded to your account, less up to 10% in payment-processing fees.