forestatrisk VS Prophet

Compare forestatrisk vs Prophet and see what are their differences.

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forestatrisk Prophet
1 222
115 17,865
- 1.2%
8.0 7.0
3 days ago 11 days ago
Python Python
GNU General Public License v3.0 only MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

forestatrisk

Posts with mentions or reviews of forestatrisk. We have used some of these posts to build our list of alternatives and similar projects.

Prophet

Posts with mentions or reviews of Prophet. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-05-08.

What are some alternatives?

When comparing forestatrisk and Prophet you can also consider the following projects:

neural_prophet - NeuralProphet: A simple forecasting package

tensorflow - An Open Source Machine Learning Framework for Everyone

co2-data - Data on CO2 and greenhouse gas emissions by Our World in Data

darts - A python library for user-friendly forecasting and anomaly detection on time series.

gridstatus - Extract data from ISOs and other energy grid sources

scikit-learn - scikit-learn: machine learning in Python

xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

greykite - A flexible, intuitive and fast forecasting library

MLflow - Open source platform for the machine learning lifecycle

Keras - Deep Learning for humans

sktime - A unified framework for machine learning with time series

pytorch-forecasting - Time series forecasting with PyTorch