emda · PyPI

Electron Microscopy map and model manipulation tools

Project description

Python library for Electron Microscopy Data Analysis (EMDA). EMDA supports MRC/CCP4.MAP and MTZ files as well as PDB and mmcif files. EMDA offeres a range of functions for downstream data analysis and model building. Please refer emda.readthedocs.io for more information.

Project details

Release history Release notifications | RSS feed

This version

1.1.6.post2

Oct 6, 2023

1.1.6.post1

Aug 2, 2023

1.1.5

Aug 19, 2022

1.1.4

Oct 13, 2021

1.1.3.post9

Aug 15, 2021

1.1.3.post8

Jul 4, 2021

1.1.3.post7

Jun 21, 2021

1.1.3.post6

Apr 6, 2021

1.1.3.post5

Mar 31, 2021

1.1.3.post3

Mar 2, 2021

1.1.3.post2

Jan 6, 2021

1.1.3.post1

Nov 30, 2020

1.1.3

Sep 17, 2020

1.1.2.post19

Aug 24, 2020

1.1.2.post18

Aug 24, 2020

1.1.2.post17

Aug 17, 2020

1.1.2.post16

Aug 13, 2020

1.1.2.post15

Aug 10, 2020

1.1.2.post14

Jul 5, 2020

1.1.2.post13

May 22, 2020

1.1.2.post12

May 20, 2020

1.1.2.post11

May 19, 2020

1.1.2.post10

May 7, 2020

1.1.2.post9

May 3, 2020

1.1.2.post8

Apr 23, 2020

1.1.2.post7

Apr 20, 2020

1.1.2.post6

Apr 8, 2020

1.1.2.post5

Mar 17, 2020

1.1.2.post4

Mar 17, 2020

1.1.2.post3

Mar 17, 2020

1.1.2.post2

Mar 17, 2020

1.1.2.post1

Mar 4, 2020

1.1.2

Dec 4, 2019

1.1.1

Dec 4, 2019

1.1.0

Aug 23, 2019

1.0

Aug 9, 2019

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

emda-1.1.6.post2.tar.gz (177.2 kB view details)

Uploaded Oct 6, 2023 Source

File details

Details for the file emda-1.1.6.post2.tar.gz.

File metadata

Download URL: emda-1.1.6.post2.tar.gz
Upload date: Oct 6, 2023
Size: 177.2 kB
Tags: Source
Uploaded using Trusted Publishing? No
Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.20.0 setuptools/39.2.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.6.8

File hashes

Hashes for emda-1.1.6.post2.tar.gz
Algorithm	Hash digest
SHA256	`fedd72d11484b87d0f3c3f3460e36d3b57108fd0547a88f1fe8555a8c03b27c4`
MD5	`178955f079fd6f7fe9b434c352a50cb7`
BLAKE2b-256	`13a13d87396acd62772e026f96f26762913630cdfa214b61c5df645581e4face`