openTSNEslim

openTSNEslim is a slimmed down version of openTSNE that doesn’t require use of scikit-learn or scipy for inference. This is useful for creating a smaller bundle for deployment.

Forked repository create by Pavlin Poličar from https://github.com/pavlin-policar/openTSNE

openTSNE (original repository)

openTSNE is a modular Python implementation of t-Distributed Stochasitc Neighbor Embedding (t-SNE) [1], a popular dimensionality-reduction algorithm for visualizing high-dimensional data sets. openTSNE incorporates the latest improvements to the t-SNE algorithm, including the ability to add new data points to existing embeddings [2], massive speed improvements [3] [4] [5], enabling t-SNE to scale to millions of data points and various tricks to improve global alignment of the resulting visualizations [6].

Macosko 2015 mouse retina t-SNE embedding — 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.

Documentation
User Guide and Tutorial
Examples: basic, advanced, preserving global alignment, embedding large data sets
Speed benchmarks

Installation

openTSNEslim can be installed on all supported versions of Python.

PyPi

openTSNEslim is also available through pip and can be installed with

pip install opentsneslim

PyPi package

A hello world example

Getting started with openTSNE is very simple. First, we’ll load up some data using scikit-learn

from sklearn import datasets

iris = datasets.load_iris()
x, y = iris["data"], iris["target"]

then, we’ll import and run

from openTSNEslim import TSNE

embedding = TSNE().fit(x)

Citation

If you make use of openTSNE for your work we would appreciate it if you would cite the paper

@article{Policar2024,
    title={openTSNE: A Modular Python Library for t-SNE Dimensionality Reduction and Embedding},
    author={Poli{\v c}ar, Pavlin G. and Stra{\v z}ar, Martin and Zupan, Bla{\v z}},
    journal={Journal of Statistical Software},
    year={2024},
    volume={109},
    number={3},
    pages={1–30},
    doi={10.18637/jss.v109.i03},
    url={https://www.jstatsoft.org/index.php/jss/article/view/v109i03}
}

openTSNE implements two efficient algorithms for t-SNE. Please consider citing the original authors of the algorithm that you use. If you use FIt-SNE (default), then the citation is [5] below, but if you use Barnes-Hut the citations are [3] and [4].

References

Metadata

Release files for openTSNEslim 1.0.6

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for openTSNEslim 1.0.6
File	Size	Uploaded
opentsneslim-1.0.6.tar.gz	255.3 kB	Mar 6, 2026	Details

Built distributions (wheels)

Table of built distributions (wheels) for openTSNEslim 1.0.6
File	Interpreter	ABI	Platform	Reset
opentsneslim-1.0.6-cp313-cp313-musllinux_1_2_x86_64.whl 5.2 MB Mar 5, 2026	CPython 3.13	CPython 3.13	Linux musl 1.2+ x86-64	Details
opentsneslim-1.0.6-cp313-cp313-musllinux_1_2_aarch64.whl 5.0 MB Mar 5, 2026	CPython 3.13	CPython 3.13	Linux musl 1.2+ ARM64	Details
opentsneslim-1.0.6-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 4.6 MB Mar 5, 2026	CPython 3.13	CPython 3.13	Linux glibc 2.17+ x86-64	Details
opentsneslim-1.0.6-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 4.3 MB Mar 5, 2026	CPython 3.13	CPython 3.13	Linux glibc 2.17+ ARM64	Details
opentsneslim-1.0.6-cp312-cp312-musllinux_1_2_x86_64.whl 5.2 MB Mar 5, 2026	CPython 3.12	CPython 3.12	Linux musl 1.2+ x86-64	Details
opentsneslim-1.0.6-cp312-cp312-musllinux_1_2_aarch64.whl 5.0 MB Mar 5, 2026	CPython 3.12	CPython 3.12	Linux musl 1.2+ ARM64	Details
opentsneslim-1.0.6-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 4.6 MB Mar 5, 2026	CPython 3.12	CPython 3.12	Linux glibc 2.17+ x86-64	Details
opentsneslim-1.0.6-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 4.3 MB Mar 5, 2026	CPython 3.12	CPython 3.12	Linux glibc 2.17+ ARM64	Details
opentsneslim-1.0.6-cp311-cp311-musllinux_1_2_x86_64.whl 5.3 MB Mar 5, 2026	CPython 3.11	CPython 3.11	Linux musl 1.2+ x86-64	Details
opentsneslim-1.0.6-cp311-cp311-musllinux_1_2_aarch64.whl 5.1 MB Mar 5, 2026	CPython 3.11	CPython 3.11	Linux musl 1.2+ ARM64	Details
opentsneslim-1.0.6-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 4.6 MB Mar 5, 2026	CPython 3.11	CPython 3.11	Linux glibc 2.17+ x86-64	Details
opentsneslim-1.0.6-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 4.4 MB Mar 5, 2026	CPython 3.11	CPython 3.11	Linux glibc 2.17+ ARM64	Details
opentsneslim-1.0.6-cp310-cp310-musllinux_1_2_x86_64.whl 4.3 MB Mar 5, 2026	CPython 3.10	CPython 3.10	Linux musl 1.2+ x86-64	Details
opentsneslim-1.0.6-cp310-cp310-musllinux_1_2_aarch64.whl 4.1 MB Mar 5, 2026	CPython 3.10	CPython 3.10	Linux musl 1.2+ ARM64	Details
opentsneslim-1.0.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 3.7 MB Mar 5, 2026	CPython 3.10	CPython 3.10	Linux glibc 2.17+ x86-64	Details
opentsneslim-1.0.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 3.5 MB Mar 5, 2026	CPython 3.10	CPython 3.10	Linux glibc 2.17+ ARM64	Details

Total release size: 73.5 MB

Release files / opentsneslim-1.0.6.tar.gz

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Download URL	opentsneslim-1.0.6-cp313-cp313-musllinux_1_2_x86_64.whl
Size	5.2 MB
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Download URL	opentsneslim-1.0.6-cp313-cp313-musllinux_1_2_aarch64.whl
Size	5.0 MB
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Download URL	opentsneslim-1.0.6-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size	4.6 MB
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Download URL	opentsneslim-1.0.6-cp312-cp312-musllinux_1_2_x86_64.whl
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Download URL	opentsneslim-1.0.6-cp312-cp312-musllinux_1_2_aarch64.whl
Size	5.0 MB
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Download URL	opentsneslim-1.0.6-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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Download URL	opentsneslim-1.0.6-cp311-cp311-musllinux_1_2_x86_64.whl
Size	5.3 MB
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Size	5.1 MB
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Download URL	opentsneslim-1.0.6-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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Download URL	opentsneslim-1.0.6-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
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1.0.6 This release

Mar 5, 2026 17 release files

1.0.5

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1.0.4

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openTSNEslim 1.0.6