oceanforge/cookiecutter.yaml at main · oceanhackweek/oceanforge · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
repo_directory: html
name: OceanHackWeek JupyterHub
favicon: assets/images/logos/ohw-favicon.png
banner:
  description: ""
  image:
    - assets/images/banner/eastcoast_PACE_OCI_20240502T172807.png
    - assets/images/banner/argo_buoy.jpeg
    - assets/images/banner/pace.jpg
    - assets/images/banner/glider.jpg
    - assets/images/banner/pam.jpg
    - assets/images/banner/sst.jpg
    - assets/images/banner/currents.jpg
  interval_ms: 4000
  banner:
  links:
  - url: ''
    title: Documentation
    new_window: false
    style: btn-primary
  - url: ''
    title: JupyterHub
    new_window: false
    style: btn-primary
about:
  description:  |
    A shared, cloud-native computing environment for ocean scientists — designed for Python and R users to support training and hackweeks in modern ocean data workflows.<br><br>
    As ocean science enters an era of massive, continuous data streams — spanning remote sensing, autonomous and in situ observing systems, large model outputs, and passive acoustics — OceanForge provides a pre-configured compute environment for ocean data science training and hackathons.
sponsors:
  description: ''
  organizations:
  - name: OceanHackWeek
    website: https://oceanhackweek.org/
    logo_url: assets/images/ohw_logo.png
  - name: NANOOS
    website: https://www.nanoos.org/
    logo_url: assets/images/nanoos_trans.png
  - name: 2i2c
    website: https://2i2c.org/
    logo_url: assets/images/2i2c_wide.svg
tools:
  title: Tools
  items:
    - name: Python
      logo: assets/images/tools/python.png
    - name: R
      logo: assets/images/tools/r.png
    - name: Jupyter
      logo: assets/images/tools/jupyter.png
    - name: xarray
      logo: assets/images/tools/xarray.png
    - name: zarr
      logo: assets/images/tools/zarr.jpg
    - name: icechunk
      logo: assets/images/tools/icechunk.svg
    - name: Dask
      logo: assets/images/tools/dask.png
    - name: GDAL
      logo: assets/images/tools/gdal.png
    - name: pandas
      logo: assets/images/tools/pandas.png
    - name: geopandas
      logo: assets/images/tools/geopandas.png
    - name: parquet
      logo: assets/images/tools/parquet.png
    - name: tensorflow
      logo: assets/images/tools/tensorflow.png
    - name: pytorch
      logo: assets/images/tools/pytorch.png
    - name: rspatial
      logo: assets/images/tools/rspatial.png
    - name: tidyverse
      logo: assets/images/tools/tidyverse.png
footer:
  social:
  - icon: github
    link: https://github.com/oceanhackweek/oceanforge

_copy_without_render:
- assets
_extensions:
- jinja_markdown.MarkdownExtension

i18n:
  es:
    about_title: "Acerca de OceanHackWeek JupyterHub"
    about_description: |
      Un entorno compartido, nativo de la nube, para científicos del océano — diseñado para usuarios de Python y R y para apoyar la capacitación en flujos de trabajo modernos de datos oceánicos.<br><br>
      A medida que la ciencia oceánica entra en una era de flujos de datos masivos y continuos — que abarcan teledetección, sistemas de observación autónomos y *in situ*, grandes salidas de modelos y acústica pasiva — OceanForge ofrece un entorno de cómputo preconfigurado para capacitaciones y hackatones de ciencia de datos oceánicos.
    sponsors_title: "Nuestros patrocinadores y socios"
    banner:
      links:
        - url: ''
          title: Documentación
          new_window: false
          style: btn-primary
        - url: ''
          title: JupyterHub
          new_window: false
          style: btn-primary