Package · PyPI
PyPI · v1.18.5 · MIT
Prompt flow azure
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 promptflow-azurePyPI 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
Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
Linked by the package’s own registry metadata.GitHub (opens in a new tab)
<2.0.0,>=1.14.0<2.0.0,>=1.26.4<5.0.0,>=4.5.1<2.0.0,>=1.12.0<13.0.0,>=12.17.0<2.0.0,>=1.18.5<3.0.0,>=2.4.0No published news event mentions this package or its repository yet.