georgeguimaraes / soothsayer
Elixir library for time series forecasting, inspired by Facebook's Prophet and NeuralProphet
Why this job: works in the areas we cover, but does not say which job it does

What it does
Soothsayer is an Elixir library for time series forecasting, inspired by Facebook's Prophet and NeuralProphet. It decomposes your time series into interpretable components (trend, seasonality, auto-regression, events, regressors) and uses neural networks to learn the patterns. On plain series it lands where Prophet does, and when a series has more to it there are the neural pieces: auto-regression, lagged regressors, networks on regressors, and one model over many series.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 17 days ago
- Stars
- 142
- On GitHub
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v1.3.0
- Released 17 days ago
- Built with
- Elixir
- 97% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 37 merged
- 2 waiting
- Releases
- 14
- 12 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Elixir 97%
- HTML 3%
Topics
- axon
- elixir
- forecasting
- machine-learning
- neural-networks
- neuralprophet
- nx
- time-series
Project record
- JobOther AI tools
- StatusListed
- Commits196
- Forks2
- Watching3
- Stars in 28 days+1
- CreatedJul 17, 2024
- First seen by usNov 7, 2026
- CheckedNov 10, 2026
