Package · PyPI
PyPI · v2.0.0a4 · Apache-2.0
Open-source multi-LLM ensemble tool for systematic review workflows
Tentative categories were assigned with moderate confidence (0.5 to 0.75): they are shown, but they do not count toward a category’s momentum. How categories work
pip install metascreenerPyPI publishes no adoption figure, so there is no growth to derive. Nothing is estimated in its place.
Adoption history
PyPI publishes no adoption count, so there is no history to chart. That is a fact about the registry, not a gap in ours: the package’s releases and maintenance are measured instead.
In the Crest catalog
AI-powered tool for efficient abstract and PDF screening in systematic reviews.
Linked by the package’s own registry metadata.GitHub (opens in a new tab)
>=2.0.0b9>=0.115>=0.27>=1.50>=1.26>=3.1>=2.2>=5.0>=2.0>=2.0>=1.24>=0.0.9>=6.0>=13.0>=0.8>=1.5>=1.13>=1.40>=24.0>=4.66>=0.12>=0.32No published news event mentions this package or its repository yet.