neural_prophet VS query-selector

Compare neural_prophet vs query-selector and see what are their differences.

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neural_prophet query-selector
5 1
3,630 74
- -
8.6 3.7
6 days ago 5 months ago
Python Python
MIT License Apache License 2.0
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.

query-selector

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

What are some alternatives?

When comparing neural_prophet and query-selector you can also consider the following projects:

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

LaTeX-OCR - pix2tex: Using a ViT to convert images of equations into LaTeX code.

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

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

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.

sktime - A unified framework for machine learning with time series

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

CrabNet - Predict materials properties using only the composition information!

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

how-do-vits-work - (ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"

sysidentpy - A Python Package For System Identification Using NARMAX Models

gluonts - Probabilistic time series modeling in Python