neural_prophet VS Forecasting_Mutual_Funds

Compare neural_prophet vs Forecasting_Mutual_Funds and see what are their differences.

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neural_prophet Forecasting_Mutual_Funds
5 1
3,607 38
- -
8.8 4.6
9 days ago 7 months 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.

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.

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.

We haven't tracked posts mentioning Forecasting_Mutual_Funds yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing neural_prophet and Forecasting_Mutual_Funds 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