One API. A World of Data.

Discover and access data from the fastest-growing data catalog of weather, climate and environmental data.

Earth Data for Everyone

The Planet OS Datahub makes it easy to build data-driven applications and analyses by providing consistent, programmatic access to high-quality datasets from the world's leading providers.

For researchers, developers, and scientists who depend on Earth science data for their analyses and applications, Datahub streamlines the data integration process and reduces operational overhead.

Stop wrestling with undocumented interfaces, outdated formats, and broken integration scripts. With the Planet OS Datahub you can focus on what truly matters, delivering valuable data-driven insights and applications.

  • One API. A World of Data

    Programmatically access Earth science data from the world's premiere providers.
  • Over 2,000 Variables

    Our Datahub catalog provides over 2,000 unique parameters and is updated weekly with new datasets.
  • Discover New Datasets

    Filter by variable, location, and time range to find data that meets your specific needs.
  • Documentation and Support

    A variety of support resources are available online. Review tutorials and interact directly with our team on Slack.

How The Yield Is Using IoT and Planet OS To Shape The Future of Agriculture

An Australian AgTech company The Yield unites sensors and software with predictive analytics to help growers make better on-farm decisions. They needed a better access to high-quality weather and climate data to provide the best service for the farmers.

The Yield was looking for a single flexible API that they can trust without a constant need to adapt their code and monitor its status.

They chose Planet OS API because it provided:

  • point-based access to gridded data
  • polygon-based queries
  • multiple response formats (NetCDF / CSV)
  • synchronous and asynchronous responses
  • data consulting and custom attribute creation


Empower Your Data Workflows


The Datahub REST API provides numerous endpoints for accessing dataset metadata and data values. Query data by time, location, and variable and receive a JSON or CSV response.

curl --request GET \
  --url '{apikey}'
import requests

url = ""

querystring = {"apikey":"{apikey}"}

response = requests.request("GET", url, params=querystring)

# response.text is raw output
result = response.json()  # turn JSON into python data structure
print result
var request = require("request");
// npm install request

var options = { method: 'GET',
  url: '',
  qs: { apikey: '{apikey}' },

request(options, function (error, response, body) {
  if (error) throw new Error(error);
  // console.log(body);
  var result = JSON.parse(body)
apikey = '{apikey}'
api_root_url = ''

dataset_meta_url = sprintf('%sdatasets', api_root_url)
list_of_ds_ids = webread(dataset_meta_url, 'apikey', apikey)

Build Innovative Earth Science Applications

By providing reliable access to high-quality Earth science data, the Planet OS Datahub enables bespoke application development and enriched data analysis for industries exposed to environmental risk. What innovative application will you build?


Combine historical climate data with soil and vegetation to better predict and optimize crop yields.

Renewable Energy

Perform asset analysis using a combination of operational data and observed wind and solar conditions.


Use historical and forecast precipitation data to estimate and respond to flood risks across your portfolio.

Enterprise Datahub

With custom interfaces, private deployments, and dedicated support, Enterprise Datahub is tailored to meet the needs of your enterprise and ensure your organization has consistent access to business-critical data.


Use Case: OpenNEX

The OpenNEX Climate Data Access Tool was produced in collaboration with the NASA Earth Exchange team with the goal of improving access to downscaled climate data.

Due to their immense size, archive structure and file format, working with these data typically requires significant technical knowledge.

The tool allows researchers to build custom subsets of climate projection data using an intuitive web interface that requires no programming knowledge, then easily share these datasets with colleagues or deploy them in the cloud.

“Planet OS’s approach provides a scalable easy-to-use data discovery and integration framework for these big datasets without having to spend days to obtain the data and perform analytics on top of it.”

- Dr. Sangram Ganguly, Senior Research Scientist at Bay Area Environmental Research Institute and NASA Ames Research Center