dlookr vs Prophet

dlookr

Tools for Data Diagnosis, Exploration, Transformation (by choonghyunryu)

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Source Code

choonghyunryu.github.io

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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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dlookr		Prophet
	Project
2	Mentions	222
194	Stars	17,839
-	Growth	1.0%
8.6	Activity	6.2
3 months ago	Latest Commit	18 days ago
R	Language	Python
GNU General Public License v3.0 only	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.

dlookr

Posts with mentions or reviews of dlookr. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-27.

What function in R comes closest to the SPSS "frequencies" command?
1 project | /r/rstats | 22 Apr 2021
What is your favorite R package and why?
5 projects | /r/AskStatistics | 27 Mar 2021

dlookr for exploratory data analysis.

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 2024-05-08.

TimesFM (Time Series Foundation Model) for time-series forecasting
4 projects | news.ycombinator.com | 8 May 2024
Moirai: A Time Series Foundation Model for Universal Forecasting
2 projects | news.ycombinator.com | 25 Mar 2024

https://facebook.github.io/prophet/
"Prophet is a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. It works best with time series that have strong seasonal effects and several seasons of historical data. Prophet is robust to missing data and shifts in the trend, and typically handles outliers well."
prophet: NEW Data - star count:17116.0
1 project | /r/algoprojects | 10 Nov 2023

1 project | /r/algoprojects | 9 Nov 2023
prophet: NEW Data - star count:17082.0
1 project | /r/algoprojects | 7 Nov 2023
Facebook Prophet: library for generating forecasts from any time series data
7 projects | news.ycombinator.com | 26 Sep 2023
prophet: NEW Data - star count:16196.0
1 project | /r/algoprojects | 12 Aug 2023

1 project | /r/algoprojects | 11 Aug 2023
prophet: NEW Data - star count:15889.0
1 project | /r/algoprojects | 27 May 2023

1 project | /r/algoprojects | 26 May 2023

What are some alternatives?

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

renv - renv: Project environments for R.

tensorflow - An Open Source Machine Learning Framework for Everyone

ranger - A Fast Implementation of Random Forests

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

keyring - :closed_lock_with_key: Access the system credential store from R

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