pip install jubatus==1.1.0

Jubatus is a distributed processing framework and streaming machine learning library. This is the Jubatus client in Python.

Source
Among top 50% packages on PyPI.
Over 4.0K downloads in the last 90 days.

Commonly used with jubatus

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

tff-nightly

High-performance TensorFlow library for quantitative finance.

atomos

Atomic primitives for Python.

pyqg

python quasigeostrophic model

nested_dict

Python dictionary with automatic and arbitrary levels of nestedness

galaxygetopt

Argparse Wrapper for Galaxy

dmri-amico

Accelerated Microstructure Imaging via Convex Optimization (AMICO)

PyDHT

PyDHT based on Adafruit Raspberry-Pi Python Code Library by Limor Fried, Kevin Townsend and Mikey Sklar

pyhoofinance

Set of functions for retreiving equity data from Yahoo finance

satpy

Python package for earth-observing satellite data processing

PyVTK

PyVTK - tools for manipulating VTK files in Python

cmf

Catchment Modelling Framework - A hydrological modelling toolkit

querycsv

Execute SQL code against data contained in one or more comma-separated-value (CSV) files.

spotpy

A Statistical Parameter Optimization Tool

tdigest

T-Digest data structure

modopt

Modular Optimisation tools for soliving inverse problems.

cell_tree2d

Python wrappers around Cell-Tree 2D spatial index

simpletraj

Lightweight coordinate-only trajectory reader based on code from GROMACS, MDAnalysis, VMD.

RecSQL

Treat SQLite tables as recarrays

pyDiamonds

A tool for bayesian parameter estimation and model selection

Version usage of jubatus

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

1.1.0

53.12%

1.0.0

4.05%

0.2.1

3.39%

0.0.1

3.32%

1.0.2

3.24%

1.0.1

2.11%

1.0.0.post1

1.94%

0.2.2

1.76%

0.7.1

1.73%

0.5.2

1.73%

0.5.0

1.73%

0.3.1-p1

1.73%

0.9.1

1.73%

0.8.0

1.73%

0.9.0

1.71%

0.4.0-p1

1.71%

0.4.0

1.71%

0.8.1

1.68%

0.6.1

1.66%

0.7.0

1.66%

0.6.0

1.66%

0.4.1

1.63%

0.8.2

1.63%

0.5.1

1.61%