docker-python/kaggle_requirements.txt at main · Kaggle/docker-python · 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
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
# Please keep this in alphabetical order
Boruta
Cartopy
ImageHash
Janome
PyArabic
PyUpSet
Pympler
Rtree
shapely
SimpleITK
TPOT
Wand
bayesian-optimization
boto3
catboost
category-encoders
cesium
comm
cytoolz
# Older versions of datasets fail with "Loading a dataset cached in a LocalFileSystem is not supported"
# https://stackoverflow.com/questions/77433096/notimplementederror-loading-a-dataset-cached-in-a-localfilesystem-is-not-suppor
datasets>=2.14.6
deap
dipy
docker
easyocr
emoji
fasttext
featuretools
fiona
flax
fury
fuzzywuzzy
geojson
gensim
# b/443054743,b/455550872
google-adk[a2a,eval]>=1.21.0
google-cloud-aiplatform
google-cloud-videointelligence
google-cloud-vision
google-genai
gpxpy
h2o
haversine
hep-ml
igraph
ipympl
ipywidgets==8.1.5
isoweek
jedi
# jitler 0.11.1 breaks simulation image
jiter==0.10.0
# b/276358430: fix Jupyter lsp freezing up the jupyter server
jupyter-lsp==1.5.1
# b/333854354: pin jupyter-server to version 2.12.5; later versions break LSP (b/333854354)
jupyter_server==2.12.5
jupyter_server_proxy
jupyterlab
jupyterlab-lsp
kaggle>=1.8.3
kaggle-environments
kagglehub[pandas-datasets,hf-datasets,signing]>=0.4.2
keras-cv
keras-nlp
keras-tuner
kornia
langid
libpysal
lime
line_profiler
mamba
matplotlib
mlcrate
mne
mpld3
# b/274619697: learntools requires a specific nbconvert right now
nbconvert==6.4.5
nbdev
nilearn
olefile
onnx
openslide-bin
openslide-python
optuna
pandas-profiling
pandasql
papermill
path
path.py
pdf2image
plotly-express
pudb
pyLDAvis
pycryptodome
pydicom
pyemd
pyexcel-ods
pymongo
pypdf
pytesseract
python-lsp-server
pytorch-ignite
pytorch-lightning
qgrid
qtconsole
ray
rgf-python
s3fs
scikit-learn
# Scikit-learn accelerated library for x86
scikit-learn-intelex>=2023.0.1
scikit-multilearn
scikit-optimize
scikit-plot
scikit-surprise
git+https://github.com/facebookresearch/segment-anything.git
squarify
tensorflow-io
# Must be compatible with torch version: https://github.com/meta-pytorch/torchcodec?tab=readme-ov-file#installing-torchcodec
torchcodec==0.10.0
torchinfo
torchmetrics
torchtune
transformers>=5.0.0
vtk
wavio
xvfbwrapper
ydata-profiling