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prophet vs TimesFM
A side-by-side comparison of pricing, ratings, features, pros and cons.
| Overview | |||
| Description | Fast and automated time series forecasting framework by Facebook. | Google Research's open-source pretrained time-series foundation model for time-series forecasting. Supports long context (16k) and long-horizon forecasting up to 1k steps, which is widely used for financial and quantitative investment predictions. | |
| Category | |||
| Developer | Meta (Facebook Core Data Science) | — | |
| Verified Status | No | No | |
| Last Updated | Sep 2026 | Sep 2026 | |
| Pricing | |||
| Pricing Model | Open Source | Free | |
| Free Plan | Yes | Yes | |
| Free Trial | No | — | |
| Open Source | Yes | No | |
| Capabilities | |||
| API Access | No | — | |
| Features | • Automated time series forecasting with seasonality • Robust to missing data, trend shifts, outliers • Available in R and Python • Uses Stan for fast model fitting • Tunable parameters for domain-specific adjustment • Free and open source, used in production at Meta | — | |
| Tags | prophetfastautomatedforecastingtime-series | forecastinglongtimesfmgoogletime-series | |
| Trust and Engagement | |||
| Review Count | 0 | 0 | |
| Saves | 0 | 0 | |
| Views | 50 | 62 | |
| Quality Score | 57/100 | 62/100 | |
| Website Status | Online | Online | |
| Availability | |||
| Website | facebook.github.io | github.com | |
| Social Links | 2 linked | 1 linked | |
| Screenshots | No | No | |
| Reviews | |||
| Pros | • Free to use | • Free to use | |
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Both tools are closely matched on rating — the better fit depends on your specific needs. See the full feature and pricing comparison above.
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