pip install dtoolcore==3.18.1

Core API for managing (scientific) data

Source
Among top 50% packages on PyPI.
Over 4.2K downloads in the last 90 days.

Commonly used with dtoolcore

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

dtoolcore

Core API for managing (scientific) data

jicbioimage.transform

Python package wrapping commonly used image transformations.

jicbioimage.illustrate

Python package providing a set of tools for creating annotated images and illustrations.

jicbioimage.segment

Python package designed to make it easy to segment bio images.

jicbioimage.core

Python package designed to make it easy to work with bio images.

dtool

Dtool command line client for managing data

mrcfile

MRC file I/O library

materials

Density, magnetic permeability etc. for a range of materials.

parabolic

Time-steppers for parabolic PDEs

ligo-gracedb

A Python package for accessing the GraceDB API.

ubi-reader

Extract files from UBI and UBIFS images.

mcerp

Real-time latin-hypercube-sampling-based Monte Carlo Error Propagation

FiPy

A finite volume PDE solver in Python

pygmsh

Python frontend for Gmsh

zio

Unified io lib for pwning development written in python.

gwdetchar

A python package for gravitational-wave detector characterisation

nolearn-utils

Utilities for nolearn.lasagne

ozelot

A package for building maintanable ETL pipelines

twitter_api

Twitter API Client

Version usage of dtoolcore

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

3.18.0

14.68%

3.18.1

5.79%

3.17.0

2.74%

3.16.3

2.57%

3.16.1

2.31%

3.16.2

2.31%

3.5.0

2.24%

3.10.0

2.21%

3.14.0

2.21%

3.11.0

2.21%

3.16.0

2.21%

3.15.0

2.19%

3.0.0

2.19%

3.13.0

2.16%

3.1.0

2.16%

3.6.0

2.16%

3.9.0

2.14%

2.9.0

2.14%

3.4.0

2.11%

3.2.0

2.11%

3.12.0

2.11%

2.8.3

2.11%

3.4.1

2.11%

2.9.3

2.09%

2.6.0

2.09%

0.15.0

2.09%

3.8.0

2.07%

2.8.1

2.07%

3.3.1

2.07%

1.0.0

2.07%

2.8.2

2.07%

3.3.0

2.07%

3.7.0

2.07%

2.7.0

2.04%

2.9.1

2.02%

2.9.2

2.02%

2.8.0

2.02%

0.14.0

1.99%

0.13.0

1.97%