Prophet VS SciKit-Learn Laboratory

Compare Prophet vs SciKit-Learn Laboratory and see what are their differences.

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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SciKit-Learn Laboratory

SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments. (by EducationalTestingService)
Machine Learning Python scikit-learn HacktoberFest
Source Code
skll.readthedocs.org
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Prophet SciKit-Learn Laboratory
221 -
17,743 552
1.2% 0.0%
6.2 8.7
22 days ago about 2 months ago
Python Python
MIT License GNU General Public License v3.0 or later
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.

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.

SciKit-Learn Laboratory

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

We haven't tracked posts mentioning SciKit-Learn Laboratory yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing Prophet and SciKit-Learn Laboratory you can also consider the following projects:

tensorflow - An Open Source Machine Learning Framework for Everyone

seqeval - A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)

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

Keras - Deep Learning for humans

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

Pylearn2 - Warning: This project does not have any current developer. See bellow.

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

PaddlePaddle - PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

Prophet vs tensorflow SciKit-Learn Laboratory vs seqeval Prophet vs darts SciKit-Learn Laboratory vs Keras Prophet vs scikit-learn SciKit-Learn Laboratory vs Pylearn2 Prophet vs xgboost SciKit-Learn Laboratory vs tensorflow Prophet vs greykite SciKit-Learn Laboratory vs scikit-learn Prophet vs MLflow SciKit-Learn Laboratory vs PaddlePaddle