brew VS Prophet

Compare brew vs Prophet and see what are their differences.

brew

By viisar

Prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth. (by facebook)
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brew Prophet
0 221
282 17,652
- 1.3%
0.0 6.7
- 11 days ago
Python Python
MIT License 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.

brew

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

We haven't tracked posts mentioning brew yet.
Tracking mentions began in Dec 2020.

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 2024-03-25.

What are some alternatives?

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

tensorflow - An Open Source Machine Learning Framework for Everyone

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

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

Robyn - Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.

H2O - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

SciKit-Learn Laboratory - SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.