datascience VS Kats

Compare datascience vs Kats and see what are their differences.

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. (by facebookresearch)
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datascience Kats
4 79
4,071 4,761
- 0.8%
8.3 8.0
22 days ago 3 days ago
Python
Creative Commons Zero v1.0 Universal 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.

datascience

Posts with mentions or reviews of datascience. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-01.

Kats

Posts with mentions or reviews of Kats. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-21.

What are some alternatives?

When comparing datascience and Kats you can also consider the following projects:

Mage - 🧙 The modern replacement for Airflow. Mage is an open-source data pipeline tool for transforming and integrating data. https://github.com/mage-ai/mage-ai

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

mlnotify - 🔔 No need to keep checking your training - just one import line and you'll know the second it's done.

neural_prophet - NeuralProphet: A simple forecasting package

machine-learning-for-software-engineers - A complete daily plan for studying to become a machine learning engineer.

sktime - A unified framework for machine learning with time series

awesome-bigdata - A curated list of awesome big data frameworks, ressources and other awesomeness.

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

mlreef - The collaboration workspace for Machine Learning

catch22 - catch22: CAnonical Time-series CHaracteristics

tablespoon - 🥄✨Time-series Benchmark methods that are Simple and Probabilistic