Installation¶

From PyPI¶

The simplest way to install rapid_textrank:

pip install rapid_textrank

The import name is rapid_textrank.

If you want to use the JSON interface with spaCy-tokenized input, or the spaCy pipeline component:

pip install rapid_textrank[spacy]

You will also need a spaCy model:

python -m spacy download en_core_web_sm

If you plan to use TopicalPageRank with topic_weights_from_lda (gensim LDA integration):

pip install rapid_textrank[topic]

This installs gensim as an extra dependency.

Requirements: Rust 1.70+, Python 3.9+

git clone https://github.com/xang1234/rapid-textrank
cd rapid_textrank
pip install maturin
maturin develop --release

This compiles the Rust core and installs the package into your current Python environment.

import rapid_textrank
print(rapid_textrank.extract_keywords("Hello world", top_n=1))

If the import succeeds and returns a result list, the installation is working correctly.