MLflow VS Prophet

Compare MLflow vs Prophet and see what are their differences.


Open source platform for the machine learning lifecycle (by mlflow)


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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MLflow Prophet
22 61
11,127 13,970
3.3% 1.6%
9.7 7.1
6 days ago 6 days ago
Python Python
Apache License 2.0 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.


Posts with mentions or reviews of MLflow. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-21.


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 2021-12-22.

What are some alternatives?

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

tensorflow - An Open Source Machine Learning Framework for Everyone

Sacred - Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

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

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

dvc - πŸ¦‰Data Version Control | Git for Data & Models | ML Experiments Management

greykite - A flexible, intuitive and fast forecasting library

clearml - ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management

zenml - ZenML πŸ™: MLOps framework to create reproducible pipelines.

darts - A python library for easy manipulation and forecasting of time series.

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.

Keras - Deep Learning for humans