NitroFE VS neural_prophet

Compare NitroFE vs neural_prophet and see what are their differences.

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NitroFE neural_prophet
1 5
106 3,635
- -
0.0 8.6
almost 2 years ago 14 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.

NitroFE

Posts with mentions or reviews of NitroFE. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-27.

neural_prophet

Posts with mentions or reviews of neural_prophet. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-26.

What are some alternatives?

When comparing NitroFE and neural_prophet you can also consider the following projects:

upgini - Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs

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

zoofs - zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.

scikit-hts - Hierarchical Time Series Forecasting with a familiar API

deeplearning

Kats - Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

lambdo - Feature engineering and machine learning: together at last!

orbit - A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

feast - Feature Store for Machine Learning

Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

sysidentpy - A Python Package For System Identification Using NARMAX Models

Informer2020 - The GitHub repository for the paper "Informer" accepted by AAAI 2021.