db-benchmark VS sktime

Compare db-benchmark vs sktime and see what are their differences.


reproducible benchmark of database-like ops (by h2oai)
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db-benchmark sktime
54 6
219 5,340
4.6% 3.7%
2.7 9.7
about 2 months ago 3 days ago
R Python
Mozilla Public License 2.0 BSD 3-clause "New" or "Revised" 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.


Posts with mentions or reviews of db-benchmark. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-25.


Posts with mentions or reviews of sktime. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-07.

What are some alternatives?

When comparing db-benchmark and sktime you can also consider the following projects:

darts - A python library for easy manipulation and forecasting of time series.

tslearn - A machine learning toolkit dedicated to time-series data

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

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

arrow-datafusion - Apache Arrow DataFusion SQL Query Engine

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.

polars - Fast multi-threaded DataFrame library in Rust | Python | Node.js

sysidentpy - A Python Package For System Identification Using NARMAX Models

greykite - A flexible, intuitive and fast forecasting library

databend - A modern Elasticity and Performance cloud data warehouse, activate your object storage for real-time analytics.

DataFrame - C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage

InceptionTime - InceptionTime: Finding AlexNet for Time Series Classification