stimela

Dockerized radio interferometry scripting framework

Project description

NOTE This is the repository for Stimela Classic (i.e. version 1.x) which is no longer actively developed – only maintenance releases are done occasionally. New to Stimela and want to write YaML recipes? Then you’re certainly looking for the shiny new Stimela 2 <https://github.com/caracal-pipeline/stimela>.

To reference stimela in a scholary work, please use this citation:

@phdthesis{makhathini2018,
 author       = {Makhathini, S.},
 title        = {Advanced radio interferometric simulation and data reduction techniques},
 school       = {Rhodes University},
 year         = 2018,
 address      = {Drosty Rd, Grahamstown, 6139, Eastern Cape, South Africa},
 month        = 4,
 note         = {Available via \url{http://hdl.handle.net/10962/57348}}}

Documentation

Installation

Tutorials

This project was initially funded by the SKA/AWS AstroCompute In The Cloud initiative.

Project details

Release history Release notifications | RSS feed

2.0

Apr 23, 2024

2.0rc18 pre-release

Apr 18, 2024

2.0rc17 pre-release

Mar 18, 2024

2.0rc16 pre-release

Mar 12, 2024

2.0rc15 pre-release

Mar 11, 2024

2.0rc14 pre-release

Mar 4, 2024

2.0rc12 pre-release

Feb 17, 2024

2.0rc11 pre-release

Feb 16, 2024

2.0rc10 pre-release

Feb 13, 2024

2.0rc9 pre-release

Feb 5, 2024

2.0rc8 pre-release

Jan 24, 2024

2.0rc6 pre-release

Jul 28, 2023

2.0rc4 pre-release yanked

Mar 28, 2023

Reason this release was yanked:

Docs update

2.0rc2 pre-release

Feb 3, 2023

This version

1.7.10

Jul 10, 2024

1.7.9

Sep 5, 2023

1.7.8

Jun 21, 2023

1.7.7

Apr 26, 2023

1.7.6

Oct 17, 2022

1.7.5

Jul 20, 2022

1.7.4

Jun 30, 2022

1.7.3

Jan 26, 2022

1.7.1

Nov 20, 2021

1.7.0

May 18, 2021

1.6.9

Feb 9, 2021

1.6.8

Oct 24, 2020

1.6.7

Sep 9, 2020

1.6.5

Jun 29, 2020

1.6.4

Jun 21, 2020

1.6.2

Jun 3, 2020

1.6.1

May 24, 2020

1.6.0

May 23, 2020

1.5.4

May 18, 2020

1.5.3.1

May 14, 2020

1.5.2

May 12, 2020

1.5.1

May 12, 2020

1.4.6

May 9, 2020

1.4.5

May 7, 2020

1.4.3

May 4, 2020

1.4.2

May 1, 2020

1.4.1

Apr 21, 2020

1.4.0

Apr 21, 2020

1.3.1

Apr 8, 2020

1.3.0

Apr 7, 2020

1.2.5

Apr 1, 2020

1.2.4

Dec 17, 2019

1.2.3

Nov 20, 2019

1.2.2

Sep 10, 2019

1.2.1

Sep 3, 2019

1.2.0

Aug 30, 2019

1.1.5

Aug 13, 2019

1.1.4

Aug 7, 2019

1.1.3

Jul 26, 2019

1.1.2

Jun 27, 2019

1.1.1

Jun 22, 2019

1.1.0

Jun 20, 2019

1.0.8

Jun 18, 2019

1.0.7

Jun 18, 2019

1.0.6

Jun 13, 2019

1.0.5

Jun 5, 2019

1.0.4

Jun 3, 2019

1.0.3

May 31, 2019

1.0.2

Apr 10, 2019

1.0.1

Apr 5, 2019

1.0.0

Apr 14, 2018

0.3.2

Apr 3, 2018

0.3.1

Dec 11, 2017

0.3.0

Jul 26, 2017

0.2.9

Jul 3, 2017

0.2.8

Mar 1, 2017

0.2.7

Feb 16, 2017

0.2.6

Feb 8, 2017

0.2.5

Feb 7, 2017

0.2.4

Feb 3, 2017

0.2.3

Jan 23, 2017

0.2.1

Nov 29, 2016

0.2.0

Sep 6, 2016

Download files

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

Source Distribution

stimela-1.7.10.tar.gz (213.2 kB view details)

Uploaded Jul 10, 2024 Source

Built Distribution

stimela-1.7.10-py3-none-any.whl (306.7 kB view details)

Uploaded Jul 10, 2024 Python 3

File details

Details for the file stimela-1.7.10.tar.gz.

File metadata

Download URL: stimela-1.7.10.tar.gz
Upload date: Jul 10, 2024
Size: 213.2 kB
Tags: Source
Uploaded using Trusted Publishing? No
Uploaded via: twine/5.1.1 CPython/3.9.19

File hashes

Hashes for stimela-1.7.10.tar.gz
Algorithm	Hash digest
SHA256	`13543ac87366c065417d1a9d9883157e6dbab76320082dbcf662dde060be346c`
MD5	`59f06517cc62798984d67791c486ba20`
BLAKE2b-256	`11a68d47cd0eeca575f6613f87b04a3e435ed83cba0a45aff855fe80e5279101`

See more details on using hashes here.

File details

Details for the file stimela-1.7.10-py3-none-any.whl.

File metadata

Download URL: stimela-1.7.10-py3-none-any.whl
Upload date: Jul 10, 2024
Size: 306.7 kB
Tags: Python 3
Uploaded using Trusted Publishing? No
Uploaded via: twine/5.1.1 CPython/3.9.19

File hashes

Hashes for stimela-1.7.10-py3-none-any.whl
Algorithm	Hash digest
SHA256	`d03c88a0c4ed898cfa8ad876ac7b05f95a3a8a17f98fb9e6da9af3971b47e5e3`
MD5	`a71e758b793e2d79f61a3e52b0c3ce25`
BLAKE2b-256	`f479a889b1cd58e8bf39557b11baacf04003323d07d96168835c4ddd3ec086ca`