SciKit-Learn Laboratory VS Prophet

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

SciKit-Learn Laboratory

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

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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SciKit-Learn Laboratory Prophet
- 221
552 17,720
0.0% 1.0%
8.7 6.2
about 2 months ago 19 days ago
Python Python
BSD 1-Clause 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.

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.

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

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

tensorflow - An Open Source Machine Learning Framework for Everyone

Keras - Deep Learning for humans

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

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

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

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)

MLflow - Open source platform for the machine learning lifecycle