scverse / cellrank
CellRank: dynamics from multi-view single-cell data
Why this job: matched by what the repo talks about: multi, data, dynamic, view
What it does
CellRank scales to large cell numbers, is fully compatible with the [scverse] ecosystem, and is easy to use. In the backend, it is powered by [pyGPCCA] ([Reuter et al. (2018)]). Feel free to open an [issue] if you encounter a bug, need our help, or just want to make a comment/suggestion.
Get started
pip install cellrank- Maintenance
- Active
- Last commit 9 days ago
- Stars
- 460
- +1 this week
- Licence
- BSD-3-Clause
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v2.3.3
- Released 57 days ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 100% closed
- 3 still open
- Pull requests
- 546 merged
- 2 waiting
- Releases
- 11
- 6 in the last year
More: languages, topics and project record
Languages
- Python 100%
Topics
- machine-learning
- single-cell-rna-seq
- bioinformatics
- rna-velocity
- markov-chains
- genetics
- data-science
- fuzzy-clustering-analyses
- manifold-learning
- single-cell-genomics
- trajectory-generation
- cell-fate-transitions
Project record
- JobAgent frameworks
- StatusListed
- Commits2,384
- Forks58
- Watching7
- Stars in 28 days+2
- CreatedMar 12, 2020
- First seen by usNov 7, 2026
- CheckedNov 8, 2026