neural_prophet VS kafka-crypto-questdb

Compare neural_prophet vs kafka-crypto-questdb and see what are their differences.

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neural_prophet kafka-crypto-questdb
5 1
3,607 58
- -
8.8 1.7
9 days ago 12 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.

kafka-crypto-questdb

Posts with mentions or reviews of kafka-crypto-questdb. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-18.
  • Realtime Crypto Tracker with Kafka and QuestDB
    3 projects | dev.to | 18 Feb 2021
    If you would like to analyze different cryptocurrencies or extend the simple moving average example with a more complicated algorithm like relative strength index analysis, feel free to fork the repo on Github

What are some alternatives?

When comparing neural_prophet and kafka-crypto-questdb 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

arctic - High performance datastore for time series and tick data

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".

questdb-slack-grafana-alerts - Example code for a tutorial for sending Slack alerts based on market data streamed to QuestDB