mars VS scikit-survival

Compare mars vs scikit-survival and see what are their differences.

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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mars scikit-survival
- 1
2,678 1,072
0.2% -
5.7 8.9
4 months ago 5 days ago
Python Python
Apache License 2.0 GNU General Public License v3.0 only
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.

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.

scikit-survival

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

What are some alternatives?

When comparing mars and scikit-survival you can also consider the following projects:

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

pycox - Survival analysis with PyTorch

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

yellowbrick - Visual analysis and diagnostic tools to facilitate machine learning model selection.

xarray - N-D labeled arrays and datasets in Python

data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

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

orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis

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

xgboost-survival-embeddings - Improving XGBoost survival analysis with embeddings and debiased estimators

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

autoprognosis - A system for automating the design of predictive modeling pipelines tailored for clinical prognosis.