RosaeNLG compared to other NLG software

This is the documentation for 1.5.0 version, which is not the latest version. Consider upgrading to 3.4.0.

CoreNLG

CoreNLG is a modern open-source Python NLG library published by Société Générale.

Characteristic CoreNLG RosaeNLG

main

developped in

Python

JavaScript & TypeScript

language for data prep and glue

Python

TypeScript or JavaScript

language for text generation

Python code

Pug templates

output languages

English and French

full support with linguistic ressources for French, English, German and Italian

open-souce

yes (Apache 2.0)

yes (MIT)

client side execution (browser)

no

yes

standard / templating features

if / else, switch / case

yes (pure Python)

yes (Pug or JavaScript)

textual functions

yes (Python functions)

yes (Pug mixins)

template based

no (pure Python)

yes (based on Pug)

NLG features

enumerations

yes

yes

capitalization, punctuation, contractions

yes

yes

dates, numbers

yes

yes

anaphora

basic using synonyms

yes

agreement on verbs, adjectives and words

no (has to be done manually)

yes (rules & linguistic ressources)

synonyms with modes

yes (random + draw without replacement)

yes (random + draw without replacement + sequence)

synonyms global optimization

no

yes (per section, generates multiple alternatives and chooses the best one)

ability to spot empty elements

yes

yes

safely record what was said

yes

yes

packaging

as a library

? (to be checked, cannot be found on PyPI)

yes (npm)

command-line interface

no

yes

Docker image

no

yes (distroless)

In summary CoreNLG is just perfect:

  • if you use Python

  • if you do not need sophisticated linguistic features likes anaphora, verbs, words and ajectives agreements

  • if you are not afraid of maintaining texts templates as Python code

RosaeNLG can be better:

  • if you want more readable templates

  • if your NLG project requires linguistic resources

  • if you use Javascript or TypeScript

  • if you wish to make browser side rendering