TimesFM-3Google
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Related Products
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About
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)
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About
TimesFM-3 is a state-of-the-art time series foundation model designed for highly accurate multivariate forecasting in a single forward pass. The 330 million parameter model is pre-trained on a real-world and synthetic time-series corpus comprising more than 1 trillion time points, building on the efficiency and zero-shot generalization of earlier TimesFM models. It can jointly predict multiple coevolving time series and capture dependencies that improve accuracy without task-specific fine-tuning. The model supports multiple targets with point and quantile forecasts, past covariates that are known only historically, and past-future dynamic covariates such as planned promotions, holidays, or weather forecasts. TimesFM-3 uses a decoder-only transformer architecture, processes contiguous data in patches of 32 time steps, and applies alternating causal temporal attention and full variate attention to combine patterns across time and related series.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Energy, Aviation, Shipping, Insurance, Agriculture, Transport, Logistics, Government, Defense
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Audience
Data scientists, researchers, and developers wanting to forecast multiple related time series and incorporate historical and known future signals
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
$0/month/user
Prices for Business packages are calculated based on configuration. Please contact our sales managers to receive an offer.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
Not Supported
In Person
Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationMeteomatics
Founded: 2012
Switzerland
meteomatics.com
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Company InformationGoogle
Founded: 1998
United States
research.google/blog/timesfm-3-a-zero-shot-foundation-model-for-multivariate-forecasting/
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Categories |
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Integrations
ArcGIS
Supported
Google Maps
Supported
Java
Supported
JavaScript
Supported
Julia
Supported
Kotlin
Supported
MATLAB
Supported
Microsoft Power BI
Supported
PHP
Supported
Postman
Supported
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Integrations
ArcGIS
Not Supported
Google Maps
Not Supported
Java
Not Supported
JavaScript
Not Supported
Julia
Not Supported
Kotlin
Not Supported
MATLAB
Not Supported
Microsoft Power BI
Not Supported
PHP
Not Supported
Postman
Not Supported
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