ermshaua / claspy
ClaSPy: A Python package for time series segmentation.
Why this job: works in the areas we cover, but does not say which job it does
What it does
Time series segmentation (TSS) tries to partition a time series (TS) into semantically meaningful segments. It's an important unsupervised learning task applied to large, real-world sensor signals for human inspection, change point detection or as preprocessing for classification and anomaly detection. This python library is the official implementation of the accurate and domain-agnostic TSS algorithm ClaSP.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 7 months ago
- Stars
- 147
- +1 this week
- Licence
- BSD-3-Clause
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.2.8
- Released 7 months ago
- Built with
- Jupyter Notebook
- 97% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 0 merged
- 0 waiting
- Releases
- 3
- 1 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Jupyter Notebook 97%
- Python 3%
Topics
- change-point
- change-point-detection
- data-mining
- data-science
- machine-learning
- python
- research
- science
- segmentation
- time-series
- time-series-analysis
- time-series-data-mining
Project record
- JobOther AI tools
- StatusListed
- Commits52
- Forks10
- Watching3
- Stars in 28 days+1
- CreatedFeb 18, 2023
- First seen by usNov 7, 2026
- CheckedNov 8, 2026