Repository navigation
Expand file tree
/
Copy pathrequirements-ci.txt
More file actions
998 lines (998 loc) · 18.8 KB
/
Copy pathrequirements-ci.txt
File metadata and controls
998 lines (998 loc) · 18.8 KB
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
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
# This file was autogenerated by uv via the following command:
# uv export --frozen --extra dev --no-hashes --no-editable --no-emit-project -o requirements-ci.txt
absl-py==2.4.0
# via optax
acres==0.5.0
# via bidsschematools
aiohappyeyeballs==2.6.1
# via aiohttp
aiohttp==3.13.3
# via nwbinspector
aiosignal==1.4.0
# via aiohttp
annotated-types==0.7.0
# via pydantic
appnope==0.1.4 ; sys_platform == 'darwin'
# via ipykernel
argon2-cffi==25.1.0
# via notebook
argon2-cffi-bindings==25.1.0
# via argon2-cffi
argschema==3.0.4
# via ophys-nway-matching
arrow==1.4.0
# via isoduration
asciitree==0.3.3
# via zarr
asttokens==3.0.1
# via stack-data
attrs==25.4.0
# via
# aiohttp
# jsonschema
# referencing
autograd==1.7.0
# via
# openscope-databook
# ssm
backports-tarfile==1.2.0 ; python_full_version < '3.12'
# via jaraco-context
beautifulsoup4==4.14.3
# via nbconvert
bids-validator-deno==2.4.1
# via dandi
bidsschematools==1.2.1
# via dandi
bleach==6.3.0
# via nbconvert
blessed==1.30.0 ; sys_platform != 'win32'
# via pyout
ccfwidget==0.5.3
# via openscope-databook
cebra @ git+https://github.com/AdaptiveMotorControlLab/CEBRA@d1842ccc659bdf2d458ab31784ae029b9d48d21f
# via openscope-databook
cellpose==4.0.8
# via suite2p
certifi==2026.1.4
# via requests
cffi==2.0.0
# via
# argon2-cffi-bindings
# cryptography
# pyzmq
charset-normalizer==3.4.4
# via requests
ci-info==0.4.0
# via etelemetry
click==8.1.8
# via
# bidsschematools
# click-didyoumean
# dandi
# dask
# nwbinspector
# zarr-checksum
click-didyoumean==0.3.1
# via dandi
cloudpickle==3.1.2
# via dask
colorama==0.4.6 ; sys_platform == 'win32'
# via
# click
# ipython
# pytest
# tqdm
colorcet==3.1.0
# via itkwidgets
comm==0.2.3
# via
# ipykernel
# ipywidgets
contourpy==1.3.3
# via matplotlib
coverage==7.13.4
# via pytest-cov
cryptography==46.0.5 ; sys_platform == 'linux'
# via secretstorage
cuda-bindings==13.3.1 ; sys_platform == 'linux'
# via torch
cuda-pathfinder==1.5.5 ; sys_platform == 'linux'
# via cuda-bindings
cuda-toolkit==13.0.2 ; sys_platform == 'linux'
# via torch
cycler==0.12.1
# via matplotlib
cython==3.2.4
# via ssm
dandi==0.76.4
# via openscope-databook
dandischema==0.12.1
# via dandi
dask==2026.1.2
# via ccfwidget
debugpy==1.8.20
# via ipykernel
decorator==5.2.1
# via ipython
defusedxml==0.7.1
# via nbconvert
deprecated==1.3.1
# via numcodecs
dnspython==2.8.0
# via email-validator
elephant==1.2.1
# via openscope-databook
email-validator==2.3.0
# via pydantic
equinox==0.13.4
# via
# lineax
# optimistix
etelemetry==0.3.1
# via dandi
execnet==2.1.2
# via pytest-xdist
executing==2.2.1
# via stack-data
fasteners==0.20
# via
# dandi
# zarr
fastjsonschema==2.21.2
# via nbformat
fastremap==1.17.7
# via
# cellpose
# fill-voids
filelock==3.20.3
# via torch
fill-voids==2.1.1
# via cellpose
fonttools==4.61.1
# via matplotlib
fqdn==1.5.1
# via jsonschema
frozenlist==1.8.0
# via
# aiohttp
# aiosignal
fscacher==0.4.4
# via dandi
fsspec==2026.2.0
# via
# ccfwidget
# dask
# nwbinspector
# torch
h5py==3.15.1
# via
# hdf5storage
# hdmf
# openscope-databook
# pynapple
# pynwb
# remfile
hdf5storage==0.2.2
# via openscope-databook
hdmf==4.3.1
# via
# dandi
# hdmf-zarr
# openscope-databook
# pynwb
hdmf-zarr==0.13.0
# via openscope-databook
humanize==4.15.0
# via dandi
idna==3.11
# via
# email-validator
# jsonschema
# requests
# yarl
imagecodecs==2026.1.14
# via cellpose
imageio==2.37.2
# via scikit-image
importlib-metadata==4.13.0
# via
# dask
# keyring
# suite2p
iniconfig==2.3.0
# via pytest
interleave==0.3.0
# via dandi
ipydatawidgets==4.3.2
# via itkwidgets
ipykernel==7.2.0
# via
# jupyter
# jupyter-console
# nbmake
# notebook
# qtconsole
ipympl==0.9.4
# via
# itkwidgets
# openscope-databook
ipython==8.21.0
# via
# ipykernel
# ipympl
# ipywidgets
# jupyter-console
ipython-genutils==0.2.0
# via
# ipympl
# ipywidgets
# notebook
ipython-pygments-lexers==1.1.1
# via qtconsole
ipytree==0.2.2
# via ccfwidget
ipywidgets==7.8.1
# via
# ipydatawidgets
# ipympl
# ipytree
# itkwidgets
# jupyter
# openscope-databook
isodate==0.7.2
# via nwbinspector
isoduration==20.11.0
# via jsonschema
itk-core==5.4.5
# via
# itk-meshtopolydata
# itk-numerics
# itkwidgets
itk-filtering==5.4.5
# via itkwidgets
itk-meshtopolydata==0.11.1
# via itkwidgets
itk-numerics==5.4.5
# via
# itk-filtering
# itkwidgets
itkwidgets==0.32.4
# via
# ccfwidget
# openscope-databook
jaraco-classes==3.4.0
# via
# keyring
# keyrings-alt
jaraco-context==6.1.0
# via
# keyring
# keyrings-alt
jaraco-functools==4.4.0
# via keyring
jax==0.5.3
# via
# equinox
# jaxopt
# lineax
# nemos
# optax
# optimistix
jaxlib==0.5.3
# via
# jax
# jaxopt
# optax
jaxopt==0.8.5
# via openscope-databook
jaxtyping==0.3.7
# via
# equinox
# lineax
# optimistix
jedi==0.19.2
# via ipython
jeepney==0.9.0 ; sys_platform == 'linux'
# via
# keyring
# secretstorage
jinja2==3.1.6
# via
# nbconvert
# notebook
# ophys-nway-matching
# torch
joblib==1.5.3
# via
# cebra
# dandi
# fscacher
# pynndescent
# scikit-learn
jsonpointer==3.0.0
# via jsonschema
jsonschema==4.26.0
# via
# dandischema
# hdmf
# nbformat
# nwbinspector
# pyout
jsonschema-specifications==2025.9.1
# via jsonschema
jupyter==1.0.0
# via openscope-databook
jupyter-client==8.8.0
# via
# ipykernel
# jupyter-console
# nbclient
# notebook
# qtconsole
jupyter-console==6.6.3
# via jupyter
jupyter-core==5.9.1
# via
# ipykernel
# jupyter-client
# jupyter-console
# nbconvert
# nbformat
# notebook
# qtconsole
jupyterlab-pygments==0.3.0
# via nbconvert
jupyterlab-widgets==1.1.11
# via ipywidgets
keyring==25.7.0
# via dandi
keyrings-alt==5.0.2
# via dandi
kiwisolver==1.4.9
# via matplotlib
lazy-loader==0.4
# via scikit-image
lineax==0.0.8
# via optimistix
literate-dataclasses==0.0.6
# via cebra
llvmlite==0.47.0
# via
# numba
# pynndescent
locket==1.0.0
# via partd
markdown-it-py==3.0.0
# via rich
markupsafe==3.0.3
# via
# jinja2
# nbconvert
# openscope-databook
marshmallow==3.26.2
# via argschema
matplotlib==3.11.0
# via
# cebra
# ipympl
# itkwidgets
# openscope-databook
# ophys-nway-matching
# seaborn
# suite2p
# tensortools
matplotlib-inline==0.1.7
# via
# ipykernel
# ipython
# openscope-databook
mdurl==0.1.2
# via markdown-it-py
mistune==3.2.0
# via nbconvert
ml-dtypes==0.4.1
# via
# jax
# jaxlib
# tensorstore
more-itertools==10.8.0
# via
# jaraco-classes
# jaraco-functools
mpmath==1.3.0
# via sympy
multidict==6.7.1
# via
# aiohttp
# yarl
munkres==1.1.4
# via tensortools
mystmd==1.9.0
# via openscope-databook
narwhals==2.23.0
# via plotly
natsort==8.4.0
# via
# cellpose
# nwbinspector
# suite2p
nbclient==0.6.8
# via
# nbconvert
# nbmake
nbconvert==7.17.0
# via
# jupyter
# notebook
nbformat==5.10.4
# via
# nbclient
# nbconvert
# nbmake
# notebook
nbmake==1.5.5
# via openscope-databook
nemos==0.2.6
# via openscope-databook
neo==0.14.4
# via
# elephant
# openscope-databook
# pynapple
nest-asyncio==1.6.0
# via
# ipykernel
# nbclient
# notebook
networkx==3.6.1
# via
# scikit-image
# torch
nodeenv==1.9.1
# via mystmd
notebook==6.4.13
# via
# jupyter
# widgetsnbextension
numba==0.65.1
# via
# pynapple
# pynndescent
# ssm
# suite2p
# tensortools
# umap-learn
numcodecs==0.15.1
# via
# dandi
# hdmf-zarr
# openscope-databook
# zarr
numpy==2.4.6
# via
# argschema
# autograd
# cebra
# cellpose
# contourpy
# elephant
# fastremap
# fill-voids
# h5py
# hdf5storage
# hdmf
# hdmf-zarr
# imagecodecs
# imageio
# ipydatawidgets
# ipympl
# itk-core
# itk-meshtopolydata
# itkwidgets
# jax
# jaxlib
# jaxopt
# matplotlib
# ml-dtypes
# nemos
# neo
# numba
# numcodecs
# opencv-python
# opencv-python-headless
# openscope-databook
# ophys-nway-matching
# optax
# pandas
# patsy
# pynapple
# pynwb
# quantities
# remfile
# roifile
# scanimage-tiff-reader
# scikit-image
# scikit-learn
# scipy
# seaborn
# ssm
# statsmodels
# suite2p
# tensorstore
# tensortools
# tifffile
# torchvision
# umap-learn
# xarray
# zarr
nvidia-cublas==13.1.1.3 ; sys_platform == 'linux'
# via
# nvidia-cudnn-cu13
# nvidia-cusolver
# torch
nvidia-cuda-cupti==13.0.85 ; sys_platform == 'linux'
# via cuda-toolkit
nvidia-cuda-nvrtc==13.0.88 ; sys_platform == 'linux'
# via
# cuda-toolkit
# nvidia-cublas
nvidia-cuda-runtime==13.0.96 ; sys_platform == 'linux'
# via cuda-toolkit
nvidia-cudnn-cu13==9.20.0.48 ; sys_platform == 'linux'
# via torch
nvidia-cufft==12.0.0.61 ; sys_platform == 'linux'
# via cuda-toolkit
nvidia-cufile==1.15.1.6 ; sys_platform == 'linux'
# via cuda-toolkit
nvidia-curand==10.4.0.35 ; sys_platform == 'linux'
# via cuda-toolkit
nvidia-cusolver==12.0.4.66 ; sys_platform == 'linux'
# via cuda-toolkit
nvidia-cusparse==12.6.3.3 ; sys_platform == 'linux'
# via
# cuda-toolkit
# nvidia-cusolver
nvidia-cusparselt-cu13==0.8.1 ; sys_platform == 'linux'
# via torch
nvidia-nccl-cu13==2.29.7 ; sys_platform == 'linux'
# via torch
nvidia-nvjitlink==13.0.88 ; sys_platform == 'linux'
# via
# cuda-toolkit
# nvidia-cufft
# nvidia-cusolver
# nvidia-cusparse
nvidia-nvshmem-cu13==3.4.5 ; sys_platform == 'linux'
# via torch
nvidia-nvtx==13.0.85 ; sys_platform == 'linux'
# via cuda-toolkit
nwbinspector==0.7.2
# via dandi
opencv-python==4.11.0.86
# via ophys-nway-matching
opencv-python-headless==4.11.0.86
# via cellpose
ophys-nway-matching @ git+https://github.com/AllenInstitute/ophys_nway_matching.git@9d02ff5abca4580caad0e13bab60355ff91d4b62
# via openscope-databook
opt-einsum==3.4.0
# via jax
optax==0.2.7
# via nemos
optimistix==0.0.11
# via nemos
packaging==26.0
# via
# dandi
# dandischema
# dask
# etelemetry
# ipykernel
# lazy-loader
# marshmallow
# matplotlib
# nbconvert
# neo
# nwbinspector
# plotly
# pooch
# pytest
# qtconsole
# qtpy
# scikit-image
# statsmodels
# xarray
pandas==2.3.3
# via
# hdmf
# openscope-databook
# ophys-nway-matching
# pynapple
# pynwb
# seaborn
# statsmodels
# xarray
pandocfilters==1.5.1
# via nbconvert
parso==0.8.6
# via jedi
partd==1.4.2
# via dask
patsy==1.0.2
# via statsmodels
pexpect==4.9.0 ; sys_platform != 'win32'
# via ipython
pillow==12.2.0
# via
# imageio
# ipympl
# matplotlib
# openscope-databook
# ophys-nway-matching
# scikit-image
# torchvision
platformdirs==4.2.2
# via
# dandi
# fscacher
# jupyter-core
# mystmd
# pooch
# pynwb
plotly==6.9.0
# via openscope-databook
pluggy==1.6.0
# via
# pytest
# pytest-cov
pooch==1.9.0
# via openscope-databook
prometheus-client==0.24.1
# via notebook
prompt-toolkit==3.0.52
# via
# ipython
# jupyter-console
propcache==0.4.1
# via
# aiohttp
# yarl
psutil==7.2.2
# via ipykernel
ptyprocess==0.7.0 ; os_name != 'nt' or sys_platform != 'win32'
# via
# pexpect
# terminado
pure-eval==0.2.3
# via stack-data
pycparser==3.0 ; implementation_name != 'PyPy'
# via cffi
pycryptodomex==3.23.0
# via dandi
pydantic==2.12.5
# via
# dandi
# dandischema
# pydantic-settings
pydantic-core==2.41.5
# via pydantic
pydantic-settings==2.13.1
# via dandischema
pygments==2.19.2
# via
# ipython
# ipython-pygments-lexers
# jupyter-console
# nbconvert
# nbmake
# pytest
# qtconsole
# rich
pynapple==0.11.3
# via
# nemos
# openscope-databook
pynndescent==0.6.0
# via umap-learn
pynwb==3.1.3
# via
# dandi
# hdmf-zarr
# nwbinspector
# openscope-databook
# pynapple
pyout==0.8.1
# via dandi
pyparsing==3.3.2
# via matplotlib
pypdf2==3.0.1
# via ophys-nway-matching
pytest==9.1.1
# via
# nbmake
# openscope-databook
# ophys-nway-matching
# pytest-cov
# pytest-xdist
pytest-cov==7.0.0
# via ophys-nway-matching
pytest-xdist==3.5.0
# via openscope-databook
python-dateutil==2.9.0.post0
# via
# arrow
# dandi
# jupyter-client
# matplotlib
# pandas
# pynwb
python-dotenv==1.2.2
# via pydantic-settings
pytz==2025.2
# via pandas
pywin32-ctypes==0.2.3 ; sys_platform == 'win32'
# via keyring
pywinpty==3.0.3 ; os_name == 'nt' and sys_platform != 'darwin' and sys_platform != 'linux'
# via terminado
pyyaml==6.0.3
# via
# argschema
# bidsschematools
# dask
# nwbinspector
pyzmq==27.1.0
# via
# ipykernel
# jupyter-client
# jupyter-console
# notebook
qtconsole==5.7.1
# via jupyter
qtpy==2.4.3
# via qtconsole
quantities==0.16.4
# via
# elephant
# neo
# openscope-databook
referencing==0.37.0
# via
# jsonschema
# jsonschema-specifications
remfile==0.1.10
# via openscope-databook
requests==2.32.5
# via
# ccfwidget
# cebra
# dandi
# dandischema
# etelemetry
# nwbinspector
# pooch
# remfile
rfc3339-validator==0.1.4
# via jsonschema
rfc3987==1.3.8
# via jsonschema
rich==14.3.2
# via pynapple
roifile==2026.1.29
# via cellpose
rpds-py==0.30.0
# via
# jsonschema
# referencing
ruamel-yaml==0.19.1
# via
# dandi
# hdmf
sbxreader==0.2.3
# via openscope-databook
scanimage-tiff-reader==1.4.1.4
# via suite2p
scikit-image==0.26.0
# via
# openscope-databook
# ophys-nway-matching
scikit-learn==1.8.0
# via
# cebra
# nemos
# openscope-databook
# pynndescent
# ssm
# suite2p
# umap-learn
scipy==1.17.1
# via
# cebra
# cellpose
# elephant
# jax
# jaxlib
# jaxopt
# nemos
# openscope-databook
# pynapple
# pynndescent
# sbxreader
# scikit-image
# scikit-learn
# ssm
# statsmodels
# suite2p
# tensortools
# umap-learn
seaborn==0.13.2
# via openscope-databook
secretstorage==3.5.0 ; sys_platform == 'linux'
# via keyring
segment-anything==1.0
# via cellpose
semantic-version==2.10.0
# via dandi
send2trash==2.1.0
# via notebook
setuptools==81.0.0
# via torch
six==1.17.0
# via
# itkwidgets
# python-dateutil
# rfc3339-validator
soupsieve==2.8.3
# via beautifulsoup4
ssm @ git+https://github.com/rcpeene/ssm@340226234bb30167fcbfc3befe507466dcd201c5
# via openscope-databook
stack-data==0.6.3
# via ipython
statsmodels==0.14.6
# via openscope-databook
suite2p==1.1.0
# via openscope-databook
sympy==1.14.0
# via torch
tabulate==0.9.0
# via pynapple
tenacity==9.1.4
# via dandi
tensorstore==0.1.74
# via dandi
tensortools==0.4
# via openscope-databook
terminado==0.18.1
# via notebook
threadpoolctl==3.6.0
# via
# hdmf-zarr
# scikit-learn
tifffile==2026.1.28
# via
# cellpose
# scikit-image
# suite2p
tinycss2==1.4.0
# via bleach
tomli==2.4.0 ; python_full_version <= '3.11'
# via coverage
toolz==1.1.0
# via
# ccfwidget
# dask
# partd
torch==2.12.1
# via
# cebra
# cellpose
# openscope-databook
# suite2p
# torchvision
torchvision==0.27.1
# via cellpose
tornado==6.5.10
# via
# ipykernel
# jupyter-client
# notebook
# terminado
tqdm==4.68.3
# via
# cebra
# cellpose
# elephant
# nwbinspector
# openscope-databook
# ssm
# tensortools
# umap-learn
# zarr-checksum
traitlets==5.15.1
# via
# ipykernel
# ipympl
# ipython
# ipywidgets
# jupyter-client
# jupyter-console
# jupyter-core
# matplotlib-inline
# nbclient
# nbconvert
# nbformat
# notebook
# openscope-databook
# qtconsole
# traittypes
traittypes==0.2.3
# via ipydatawidgets
triton==3.7.1 ; sys_platform == 'linux'
# via torch
typing-extensions==4.15.0
# via
# aiosignal
# beautifulsoup4
# equinox
# lineax
# nemos
# optimistix
# pydantic
# pydantic-core
# referencing
# torch
# typing-inspection
typing-inspection==0.4.2
# via
# pydantic
# pydantic-settings
tzdata==2025.3
# via
# arrow
# pandas
umap-learn==0.5.11
# via openscope-databook
uri-template==1.3.0
# via jsonschema
urllib3==2.6.3
# via
# dandi
# requests
wadler-lindig==0.1.7
# via
# equinox
# jaxtyping
wcwidth==0.6.0
# via
# blessed
# prompt-toolkit
webcolors==25.10.0
# via jsonschema
webencodings==0.5.1
# via
# bleach
# tinycss2
widgetsnbextension==3.6.10
# via ipywidgets
wrapt==2.1.1
# via deprecated
xarray==2024.3.0
# via
# ccfwidget
# pynapple
yarl==1.22.0
# via
# aiohttp
# dandi
zarr==2.18.3
# via
# ccfwidget
# dandi
# hdmf-zarr
# openscope-databook
zarr-checksum==0.4.5
# via
# dandi
# dandischema
zipp==3.23.0
# via importlib-metadata
zstandard==0.25.0
# via itkwidgets