pip install tsne==0.3.1

TSNE algorithms

Source
Among top 50% packages on PyPI.
Over 3.6K downloads in the last 90 days.

Commonly used with tsne

Based on how often these packages appear together in public requirements.txt files on GitHub.

audiosegment

Wrapper for pydub.AudioSegment for additional methods.

ndio

A Python library for open neuroscience data access and manipulation.

SLIP

SLIP: a Simple Library for Image Processing

superfreq

Orbital frequency analysis (Astropy affiliated package)

planets

Library to provide planetary constants

jupyter-book

Jupyter Book: Create an online book with Jupyter Notebooks

pycddlib

pycddlib is a Python wrapper for Komei Fukuda's cddlib.

mplcursors

Interactive data selection cursors for Matplotlib.

citrination-client

Python client for accessing the Citrination api

ecell4-base

A software platform for modeling, simulation and analysis of complex, heterogeneous and multi-scale systems like the cell. E-Cell has multi-algorithm, multi-timescale and multi-spatial-representation as its central feature.

ecell4

A software platform for modeling, simulation and analysis of complex, heterogeneous and multi-scale systems like the cell. E-Cell has multi-algorithm, multi-timescale and multi-spatial-representation as its central feature.

NURBS-Python

NURBS curve and surface evaluation library in pure python

heapq_max

A max Heap version of heapq module for Python.

astrobase

Python modules and scripts useful for variable star work in astronomy.

ccad

Python library to render Reactionware cartridges

aocutils

High level API for PythonOCC

lib

StdLib: Standard Library for Microservices Python Bindings

tensorflow-graphics

A library that contains well defined, reusable and cleanly written graphics related ops and utility functions for TensorFlow.

pyerf

A pure-Python implementation of the error function and inverse error function.

Version usage of tsne

Proportion of downloaded versions in the last 3 months (only versions over 1%).

0.3.1

30.80%

0.3.0

8.71%

0.2.0

8.02%

0.0.1

5.64%

0.1.8

5.53%

0.1

5.45%

0.1.7

5.34%

0.1.1

5.17%

0.1.5

5.11%

0.1.3

5.06%

0.1.6

5.06%

0.1.2

5.06%

0.1.4

5.06%