Forecasting_Mutual_Funds VS neural_prophet

Compare Forecasting_Mutual_Funds vs neural_prophet and see what are their differences.

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Forecasting_Mutual_Funds neural_prophet
1 5
43 3,644
- -
4.6 8.6
9 months ago 20 days ago
Python Python
MIT 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.

Forecasting_Mutual_Funds

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

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 Forecasting_Mutual_Funds and neural_prophet you can also consider the following projects:

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

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

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.

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

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.

tslearn - The machine learning toolkit for time series analysis in Python

kafka-crypto-questdb - Using Kafka to track cryptocurrency price trends

flow-forecast - Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

DeepADoTS - Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

query-selector - LONG-TERM SERIES FORECASTING WITH QUERYSELECTOR – EFFICIENT MODEL OF SPARSEATTENTION