generated: '2026-07-22'
method: searched
source: https://pypi.org/project/datamine/ + https://github.com/CMEGroupPublic
notes: >-
  CME Group's public first-party client code lives in the CMEGroupPublic GitHub
  org (7 public repos). The DataMine Python package is published to PyPI as
  "datamine". No first-party packages were found on npm, Maven Central, NuGet,
  RubyGems, Packagist, crates.io, or pkg.go.dev. The github.com/cmegroup org
  exists but has no public repositories.
packages:
  - language: python
    registry: pypi
    name: datamine
    url: https://pypi.org/project/datamine/
    install: pip install datamine
    official: true
    description: >-
      CME Group DataMine Python package — loads your DataMine data-item catalog,
      downloads purchased historical data items, and structures them into
      Pandas dataframes.
    source: https://github.com/CMEGroupPublic/datamine_python
  - language: java
    registry: github
    name: CMESmartStreamonGCP-BinaryData
    url: https://github.com/CMEGroupPublic/CMESmartStreamonGCP-BinaryData
    install: git clone https://github.com/CMEGroupPublic/CMESmartStreamonGCP-BinaryData
    official: true
    description: >-
      Sample Java implementation for consuming CME market data from CME Smart
      Stream on Google Cloud Platform (binary data).
  - language: jupyter
    registry: github
    name: CMESmartStream-on-GCP-Tutorial
    url: https://github.com/CMEGroupPublic/CMESmartStream-on-GCP-Tutorial
    install: git clone https://github.com/CMEGroupPublic/CMESmartStream-on-GCP-Tutorial
    official: true
    description: Tutorial notebooks for CME Smart Stream on Google Cloud Platform.