Free
Free
Open-source library installable via pip; documentation recommends Python 3.10+ environments.
- Access
- Open-source library installable via pip; documentation recommends Python 3.10+ environments.
Code · Vendor site 2026-10-04
Darts is an open-source Python library from Unit8 that makes time series forecasting easier. It provides unified APIs for classical and neural models, probabilistic predictions, and backtesting workflows documented for data science teams.
Data scientists and ML engineers who forecast time series in Python and want one library for many model types.
Users must manage their own Python environment, dependencies, and compute for training and inference.
Darts bundles forecasting models, probabilistic predictions, and notebooks so teams can experiment and deploy time series models with shared APIs.
What it can do
Unknown is different from unavailable. Each fact carries its own evidence.
| Capability | Value | Evidence | Checked |
|---|---|---|---|
| Scope | Documentation introduces Darts as user-friendly time series tooling with tutorials, model catalog, and API reference. | Facts sourced | 2026-10-04 |
| Install path | Docs recommend Python 3.10+ and installing the library with pip. | Facts sourced | 2026-10-04 |
Understand the total cost
Free
Free
Open-source library installable via pip; documentation recommends Python 3.10+ environments.
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Explore toolThe practical questions
Darts is an open-source Python library from Unit8 that makes time series forecasting easier. It provides unified APIs for classical and neural models, probabilistic predictions, and backtesting workflows documented for data science teams.
Open-source library installable via pip; documentation recommends Python 3.10+ environments.. This record lists ongoing free access; check the plan limits before starting.
No paid monthly price is listed; this record treats the product as free to start. See the plan cards for entitlements, billing commitments and seat minimums.
Python API with model fit/predict methods documented on the official docs site.. API access and subscription access may have different terms; consult the linked sources.
Users must manage their own Python environment, dependencies, and compute for training and inference.
No retained pricing changes yet. A current price alone does not establish a historical trend.
Reviewed vendor source
Read original source ↗Facts apply to the named version and check date. Send a sourced correction if something changed.