Compare the Top Weather Intelligence Software that integrates with JavaScript as of July 2025

This a list of Weather Intelligence software that integrates with JavaScript. Use the filters on the left to add additional filters for products that have integrations with JavaScript. View the products that work with JavaScript in the table below.

What is Weather Intelligence Software for JavaScript?

Weather intelligence software, also known as climate intelligence or analytics software, enables organizations, businesses, governments, and agencies to gain insights and analysis on current and future weather and climate analytics. Weather and climate intelligence platforms can help a business or agency calculate climate-based risk to aid in business or strategic decisions, or help climate researchers with their analysis. Compare and read user reviews of the best Weather Intelligence software for JavaScript currently available using the table below. This list is updated regularly.

  • 1
    Meteomatics

    Meteomatics

    Meteomatics

    Meteomatics specializes in high-resolution commercial weather forecasting, power output forecasting for wind, solar and hydro, weather data gathering from the lower atmosphere using Meteodrones, and weather data delivery via the Weather API. - Unlimited accesses/day - Weather data querying via URL - Unified weather data access for historical and current weather, forecasts, climate models, and data from over 25 weather models - WMS and WFS interface - Delivery of forecasts with an average response time of 20 to 30 ms - 90 m downscaling worldwide - 1800+ parameters - Historical weather data from 1979 Climate data including climate scenarios up to the year 2100 - Secured use with HTTP and HTTPS - Integration with many formats, connectors, and programming languages available - Proprietary European Weather Model with 1 km resolution – EURO1k (Business plan)
    Starting Price: $0/month/user
  • 2
    Google Earth Engine
    Google Earth Engine is a cloud-based platform for scientific analysis and visualization of geospatial datasets, providing access to a vast public data archive that includes over 90 petabytes of analysis-ready satellite imagery and more than 1,000 curated geospatial datasets. This extensive catalog encompasses over 50 years of historical imagery, updated daily, with resolutions as fine as one meter per pixel, featuring datasets such as Landsat, MODIS, Sentinel, and the National Agriculture Imagery Program (NAIP). Earth Engine enables users to analyze Earth observation data and apply machine learning techniques through its web-based JavaScript Code Editor and Python API, facilitating the development of complex geospatial workflows. The platform's integration with Google Cloud allows for large-scale parallel processing, empowering users to conduct comprehensive analyses and visualize Earth data efficiently. Additionally, Earth Engine offers interoperability with BigQuery.
    Starting Price: $500 per month
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