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ultra

imported

software/ultra

AI research agents + scientific image viewer for bioimaging & neuroimaging — LangGraph agents, GPU inference, and native in-browser OME-Zarr / TIFF / NIfTI / HDF5 viewers.

Machine-generated from the listed sources and not yet reviewed by a human.

ultra project image
GitHub preview card for amilworks/ultra. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
agent-framework · agentic-ai · autonomous-agents · bioimaging · chat-ui · golang · image-viewer · langgraph · medical-imaging · microscopy · nats · neuroimaging · react · scientific-computing · ui · vllm
Regulatory
unknown
similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

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  • ZAugNetbioimaging · microscopy

    ZAugNet

  • 🦷 Component library for rendering 4-sides dental plaque charts.

  • cellUviewimage-viewer · microscopy

    cellUview is alternative software that runs on an OpenFlexure 3D-printed microscope. Images are enhanced in real-time by changing exposure, contrast, edge enhancement, dilation, contrast and k-means…

  • PyImageToolimage-viewer · microscopy

    Python Image Tool for visualizing multidimensional data. Applications include analysis of data in microscopy (STM, SSM, optics), ARPES, XRD, or other multidimensional datasets on regularly gridded…

  • Dashboardbioimaging

    MOMSI Standard Landscape Review Curation Workflow & Multi-Omics Dashboard

sources
  1. api.github.com/repos/amilworks/ultra
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-22, 6 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/53.json→ .entries["ultra"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.