frame-fixtures VS mars

Compare frame-fixtures vs mars and see what are their differences.

frame-fixtures

Use compact expressions to create diverse, deterministic DataFrame fixtures with StaticFrame (by static-frame)

mars

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions. (by mars-project)
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frame-fixtures mars
1 -
7 2,677
- 0.2%
0.0 5.7
about 1 year ago 4 months ago
Python Python
GNU General Public License v3.0 or later 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.

frame-fixtures

Posts with mentions or reviews of frame-fixtures. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-21.

mars

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

We haven't tracked posts mentioning mars yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing frame-fixtures and mars you can also consider the following projects:

modin - Modin: Scale your Pandas workflows by changing a single line of code

eland - Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch

xarray - N-D labeled arrays and datasets in Python

Python-Schema-Matching - A python tool using XGboost and sentence-transformers to perform schema matching task on tables.

scikit-survival - Survival analysis built on top of scikit-learn

alpha-zero-boosted - A "build to learn" Alpha Zero implementation using Gradient Boosted Decision Trees (LightGBM)

dmatrix2np - Convert XGBoost's DMatrix format to np.array

Sketch-Generation-with-Drawing-Process-Guided-by-Vector-Flow-and-Grayscale - This is the official implementation of the AAAI 2021 accepted paper "Sketch Generation with Drawing Process Guided by Vector Flow and Grayscale"

xgboost_ray - Distributed XGBoost on Ray

lambda-packs - Precompiled packages for AWS Lambda

python-performance-playground - Performance analysis of Python snippets for scientific computing

movie-recommender - Movie recommender system based on Non-Negative Matrix Factorization and Singular Value Decomposition, with a Flask web interface