v0.1.0 — initial release

First public release of PRISMA — a Python toolkit for systematic literature reviews by Proportione.

What's in this release

• CLI (prisma) with subcommands: ingest openalex, ingest dedup, screen, extract, quality, report
• Library (src/prisma/): ingest, screening, extraction, quality (MMAT 2018), reporting (PRISMA 2020 flow), bibliometrics (VOSviewer + Louvain), viz with Proportione brand palette
• Streamlit demo (4 pages): Screening, Extraction, Quality MMAT, Bibliometrics — installable with pip install "proportione-prisma[streamlit]"
• Examples: ready-to-use YAML rule sets and taxonomies for the Signal-KPI domain (Cuervo & Marques, 2026)
• CI on Python 3.10 / 3.11 / 3.12 (ruff + pytest)

Methodology

• PRISMA 2020 — Page et al. (2021), BMJ 372:n71
• MMAT 2018 — Hong et al. (2018), Education for Information 34:285-291
• Case Survey method — Larsson (1993), AMJ 36(6)
• Bibliometric methods — Donthu et al. (2021), JBR 133

Citation

See CITATION.cff or use the "Cite this repository" button on the GitHub repo. A DOI will be minted automatically by Zenodo upon publication of this release.

Notice

PRISMA is a registered trademark of the EQUATOR Network. This toolkit helps authors comply with the PRISMA 2020 reporting standard but is not affiliated with or endorsed by the PRISMA Statement Group.