pavlin-policar / openTSNE
Extensible, parallel implementations of t-SNE
Why this job: works in the areas we cover, but does not say which job it does
What it does
A visualization of 44,808 single cell transcriptomes obtained from the mouse retina [7]_ embedded using the multiscale kernel trick to better preserve the global aligment of the clusters.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 10 days ago
- Stars
- 1,625
- On GitHub
- Licence
- BSD-3-Clause
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v1.0.2
- Released 2 years ago
- Built with
- Python
- 44% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 98% closed
- 3 still open
- Pull requests
- 138 merged
- 3 waiting
- Releases
- 10
- 0 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
- Python 44%
- Jupyter Notebook 30%
- Cython 11%
- C++ 9%
Topics
- tsne
- visualization
- machine-learning
- dimensionality-reduction
- embedding
Project record
- JobOther AI tools
- StatusListed
- Commits776
- Forks179
- Watching19
- Stars in 28 days+1
- CreatedJun 8, 2018
- First seen by usNov 7, 2026
- CheckedNov 8, 2026