A python library for user-friendly forecasting and anomaly detection on time series.
Forecast future trends and detect anomalies in time series data using a user-friendly Python library.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeA python library for user-friendly forecasting and anomaly detection on time series.
darts has 9.5k stars on GitHub. It has been forked 1k times. darts is written mainly in Python. It has been in active development since 2018. darts is available under the Apache-2.0 license. Its main topics are anomaly-detection, data-science, deep-learning, forecasting.
A python library for user-friendly forecasting and anomaly detection on time series.
darts is an open-source project. It is released under the Apache-2.0 license.
Yes. darts is free and open source — you can use, modify and self-host it.
darts is available under the Apache-2.0 license.
darts is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/unit8co-darts.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.