optapy VS Prophet

Compare optapy vs Prophet and see what are their differences.

optapy

OptaPy is an AI constraint solver for Python to optimize planning and scheduling problems. (by optapy)
Machine Learning Python Python3 Artificial intelligence Metaheuristics local-search simulated-annealing tabu-search vehicle-routing-problem employee-rostering task-assignment traveling-salesman-problem np-hard np-complete mathematical-optimization
Source Code
optapy.org
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Prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth. (by facebook)
Machine Learning Forecasting R Python
Source Code
facebook.github.io
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optapy Prophet
2 221
259 17,743
0.8% 1.2%
5.5 6.2
7 months ago 24 days ago
Java 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.

optapy

Posts with mentions or reviews of optapy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-06.

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 optapy and Prophet you can also consider the following projects:

or-tools - Google's Operations Research tools:

tensorflow - An Open Source Machine Learning Framework for Everyone

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

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

VeRyPy - A python library with implementations of 15 classical heuristics for the capacitated vehicle routing problem.

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

TFLearn - Deep learning library featuring a higher-level API for TensorFlow.

greykite - A flexible, intuitive and fast forecasting library

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

MLflow - Open source platform for the machine learning lifecycle

optapy vs or-tools Prophet vs tensorflow optapy vs scikit-learn Prophet vs darts optapy vs tensorflow Prophet vs scikit-learn optapy vs VeRyPy Prophet vs xgboost optapy vs TFLearn Prophet vs greykite optapy vs SciKit-Learn Laboratory Prophet vs MLflow