scikit-survival VS autoprognosis

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

autoprognosis

A system for automating the design of predictive modeling pipelines tailored for clinical prognosis. (by vanderschaarlab)
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scikit-survival autoprognosis
1 2
1,072 89
- -
8.9 5.0
about 13 hours ago 7 months ago
Python Python
GNU General Public License v3.0 only 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.

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.

autoprognosis

Posts with mentions or reviews of autoprognosis. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-25.

What are some alternatives?

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

pycox - Survival analysis with PyTorch

hyperimpute - A framework for prototyping and benchmarking imputation methods

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

auton-survival - Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events

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.

mars - Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

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

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

m2cgen - Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies