Nisaba 0.3.15

A tool for multi-modal annotation

Most Recent Update

Fixed errors associated with duplicate or missing taxonomy entries
Some refactoring of code

Easy (PIP) Installation:

Nisaba is now available through PyPi. To install using pip, simply run the following command from your terminal:

pip install nisaba

After installation, run Nisaba using the command:

nisaba

Contributing

If you wish to contribute to the development of Nisaba, clone and run from the source code using the following commands from your terminal:

git clone https://github.com/mhbeals/nisaba
cd nisaba
virtualenv .
source bin/activate
pip install -r requirements.txt

To run, use

cd nisaba
python __main__.py

or simply:

python -m nisaba

Development History

Nisaba was conceived by M. H. Beals (Loughborough University) and Olivia Mitchell (Loughborough University) as part of her PhD project (2017-present).

Initial development of the software (v.0.1.0) was undertaken by M. H. Beals in 2018-2019.

The project is now being developed by M. H. Beals and Albert MeroÃ±o PeÃ±uela (Vrije Universiteit Amsterdam). If you would like to contribute, please contact M. H. Beals (or submit a pull request!)

Metadata

Release files for nisaba 0.3.18

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for nisaba 0.3.18
File	Size	Uploaded
nisaba-0.3.18.tar.gz	473.8 kB	Nov 25, 2020	Details

Release files / nisaba-0.3.18.tar.gz

Download URL	nisaba-0.3.18.tar.gz
Size	473.8 kB
Tags	Source
SHA-256 checksum How to use checksums	`42d19cb12a808e2fb757bb80e7c1b1438a958e84fa4096182a4407f054fdcf29`
BLAKE2b-256 checksum How to use checksums	`539b04bfb8e51c6f492d3aa9dd33a98b70cfc8112c3eed6784e2d62b955c49be`
Upload date	Nov 25, 2020
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/3.8.0`