Factual package intelligence from PyPI

microscopy-llm-profiler 0.3.0 package intelligence

Deterministic microscopy image analysis for AI agents, over MCP. Point your Claude/Cursor/Codex agent at an image and it segments, counts, and measures cells — Fiji/ImageJ-equivalent, every number tra

pip install microscopy-llm-profiler

Current version
0.3.0
Python requirement
>=3.11
License
Free for non-commercial use
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
340.2 KiB
Release history
2 releases with files
Median release cadence
7 days

microscopy-llm-profiler dependencies

PyPI declares 21 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. jinja2 <4,>=3.1
  2. mcp <2,>=1.0
  3. nd2 <1,>=0.9
  4. numpy <3,>=1.26
  5. opencv-python-headless <5,>=4.9
  6. pillow <12,>=10.0
  7. pydantic <3,>=2.0
  8. pyyaml <7,>=6.0
  9. scikit-image <1,>=0.22
  10. scipy <2,>=1.12

The compact report shows 12 of 21 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

microscopy-llm-profiler publishes 1 wheel and 1 source archive for version 0.3.0. Wheel platform tags: any.

Declared Python classifiers: 3.11.

Security snapshot for microscopy-llm-profiler 0.3.0

An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.

Metadata completeness

PyPI does not currently declare: project URL. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

The project does not publish external project URLs in its PyPI metadata.