sebp / scikit-survival
Survival analysis built on top of scikit-learn
Why this job: works in the areas we cover, but does not say which job it does
What it does
The objective in survival analysis_ (also referred to as time-to-event or reliability analysis) is to establish a connection between covariates and the time of an event. What makes survival analysis differ from traditional machine learning is the fact that parts of the training data can only be partially observed – they are *censored*.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 4 days ago
- Stars
- 1,329
- On GitHub
- Licence
- GPL-3.0
- Share-alike terms
- Downloads for
- None listed
- No release files
- Latest version
- v0.28.0
- Released 4 months ago
- Built with
- Python
- 93% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 89% closed
- 28 still open
- Pull requests
- 223 merged
- 4 waiting
- Releases
- 35
- 3 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| uxlfoundation / scikit-learn-intelex | 1,358 | 2 days ago | Apache-2.0 | No downloads |
| DoubleML / doubleml-for-py | 799 | yesterday | BSD-3-Clause | No downloads |
| KatherLab / STAMP | 133 | 2 months ago | MIT | Linux |
More: languages, topics and project record
Languages
- Python 93%
- C++ 4%
- Cython 2%
- Shell <1%
Topics
- survival-analysis
- machine-learning
- python
- scikit-learn
Project record
- JobOther AI tools
- StatusListed
- Commits1,681
- Forks236
- Watching19
- Stars in 28 days+5
- CreatedDec 26, 2016
- First seen by usNov 7, 2026
- CheckedNov 9, 2026