EmbedSLR is a concise Python framework that performs deterministic, embedding‑based ranking of publications and a bibliometric audit (keywords, authors, citations) to speed up the screening phase in systematic literature reviews.
- Fully reproducible – no stochastic LLM components
- Five interchangeable embedding back‑ends (local SBERT, OpenAI, Cohere, Jina, Nomic)
- Wizard (interactive CLI) and Colab GUI for zero‑config onboarding
- Generates a ready‑to‑share
biblio_report.txtdashboard
!pip install git+https://github.com/s-matysik/EmbedSLR.git
from embedslr.colab_app import run
run()
If you use EmbedSLR in scientific work, please cite us:
{
title = {EmbedSLR – an open Python framework for deterministic embedding‑based screening and bibliometric validation in systematic literature reviews},
author = {Matysik, S., Wiśniewska, J., Frankowski, P.K.},
year = {2025},
url = {https://github.com/s-matysik/EmbedSLR/}
}