generated: '2026-08-23'
method: searched
source: https://pypi.org/pypi/monkeybread/json + https://api.github.com/orgs/immunitastx/repos
note: >-
  Immunitas Therapeutics publishes no API and therefore ships no API client SDK. It does publish
  first-party OPEN SOURCE RESEARCH TOOLING from the immunitastx GitHub organization. Only one of
  those repositories is distributed through a public package registry (PyPI). These are scientific
  analysis libraries, not client libraries for an Immunitas API, so no `SDKs` pointer is emitted in
  apis.yml — doing so would credit the company with an SDK for an API it does not operate.
registries_checked:
- registry: pypi
  queries: [monkeybread, recover-counts, recover_counts, immunitas]
  hits: 1
- registry: npm
  queries: [immunitas, immunitastx]
  hits: 0
packages:
- language: python
  registry: pypi
  name: monkeybread
  url: https://pypi.org/project/monkeybread/
  install: pip install monkeybread
  official: true
  version: 1.0.3
  published: '2023-08-23'
  license: MIT
  summary: Analyze cellular niches in single-cell spatial transcriptomics data
  source: https://github.com/immunitastx/monkeybread
  docs: https://monkeybread.readthedocs.io/
  note: >-
    MIT licensed, "Copyright (c) 2022, Immunitas Therapeutics" — unambiguously first-party. Latest
    PyPI release 1.0.3 (2023-08-23); the repository is not archived but its last commit is
    2024-11-18, so the published distribution is about three years stale as of this pass.
unreleased_source_only:
- name: recover-counts
  url: https://github.com/immunitastx/recover-counts
  language: python
  registry: null
  version: null
  published: null
  note: >-
    Source-only on GitHub; checked PyPI for both `recover-counts` and `recover_counts`, HTTP 404 on
    each — no registry distribution exists, so there is no version metadata to record.
- name: monkeybread-case-study
  url: https://github.com/immunitastx/monkeybread-case-study
  language: jupyter-notebook
  registry: null
  version: null
  published: null
  note: Notebook case study applying monkeybread to a human melanoma tumor dataset; not a package.
- name: NSCLS-PIC
  url: https://github.com/immunitastx/NSCLS-PIC
  language: r
  registry: null
  version: null
  published: null
  note: >-
    PIC-seq algorithm code and metadata for Cohen M. & Giladi A. et al., Nature Cancer 2022. Not
    published to CRAN or Bioconductor; source-only.
- name: terra-docker
  url: https://github.com/immunitastx/terra-docker
  language: jupyter-notebook
  registry: null
  version: null
  published: null
  note: Fork/derivative of Terra notebook Docker images; no registry distribution found.