twinning VS DataFrame

Compare twinning vs DataFrame and see what are their differences.

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twinning DataFrame
1 109
24 2,275
- -
0.0 9.4
over 1 year ago 3 days ago
C++ C++
Apache 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.

twinning

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

DataFrame

Posts with mentions or reviews of DataFrame. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-03.

What are some alternatives?

When comparing twinning and DataFrame you can also consider the following projects:

secure-xgboost - Secure collaborative training and inference for XGBoost.

datatable - A Python package for manipulating 2-dimensional tabular data structures

GPBoost - Combining tree-boosting with Gaussian process and mixed effects models

db-benchmark - reproducible benchmark of database-like ops

MLPP - A library created to revitalize C++ as a machine learning front end. Per aspera ad astra.

sktime - A unified framework for machine learning with time series

oneDAL - oneAPI Data Analytics Library (oneDAL)

polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust

SHOGUN - Shōgun

zhetapi - A C++ ML and numerical analysis API, with an accompanying scripting language.

faiss - A library for efficient similarity search and clustering of dense vectors.

scientific-visualization-book - An open access book on scientific visualization using python and matplotlib