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Browse files- handler.py +12 -12
- requirements.txt +195 -177
handler.py
CHANGED
|
@@ -7,13 +7,13 @@ class EndpointHandler:
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| 7 |
def __init__(self, path=""):
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| 8 |
# 1. Resolve paths for BOTH structural graph and matrix weights
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| 9 |
model_path = os.path.join(path, "joint_command_parser.onnx")
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| 10 |
-
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| 11 |
# Initialize the ONNX Runtime execution engine thread pool
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| 12 |
self.session = ort.InferenceSession(model_path, providers=["CPUExecutionProvider"])
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| 13 |
-
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| 14 |
# 2. Match the exact tokenizer backbone used during training
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| 15 |
self.tokenizer = AutoTokenizer.from_pretrained("distilbert-base-uncased")
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| 16 |
-
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| 17 |
# 3. Structural target layouts
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| 18 |
self.intents = [
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| 19 |
# document editing
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@@ -48,7 +48,7 @@ class EndpointHandler:
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| 48 |
inputs_payload = data.get("inputs", "")
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| 49 |
if not inputs_payload:
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| 50 |
return {"error": "Missing 'inputs' string parameter inside payload."}
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| 51 |
-
|
| 52 |
# Tokenize incoming sequence matching matrix bounds
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| 53 |
tokenized = self.tokenizer(
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| 54 |
inputs_payload,
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@@ -57,28 +57,28 @@ class EndpointHandler:
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| 57 |
truncation=True,
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| 58 |
return_tensors="np"
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| 59 |
)
|
| 60 |
-
|
| 61 |
onnx_feeds = {
|
| 62 |
"input_ids": tokenized["input_ids"].astype(np.int64),
|
| 63 |
"attention_mask": tokenized["attention_mask"].astype(np.int64)
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| 64 |
}
|
| 65 |
-
|
| 66 |
# Run execution graph matrix calculations
|
| 67 |
intent_logits, ner_logits = self.session.run(None, onnx_feeds)
|
| 68 |
-
|
| 69 |
# Decode Intent array using Softmax calculation
|
| 70 |
logits_exp = np.exp(intent_logits[0])
|
| 71 |
probs = logits_exp / np.sum(logits_exp)
|
| 72 |
intent_idx = np.argmax(probs)
|
| 73 |
-
|
| 74 |
# Apply strict fallback thresholds
|
| 75 |
confidence = float(probs[intent_idx])
|
| 76 |
final_intent = self.intents[intent_idx] if confidence >= 0.65 else "unknown"
|
| 77 |
-
|
| 78 |
# Process and decode non-zero NER spans
|
| 79 |
ner_tags = np.argmax(ner_logits[0], axis=-1)
|
| 80 |
tokens = self.tokenizer.convert_ids_to_tokens(tokenized["input_ids"][0])
|
| 81 |
-
|
| 82 |
extracted_tokens = []
|
| 83 |
for token, tag in zip(tokens, ner_tags):
|
| 84 |
if token in [self.tokenizer.cls_token, self.tokenizer.sep_token, self.tokenizer.pad_token]:
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|
@@ -89,9 +89,9 @@ class EndpointHandler:
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|
| 89 |
extracted_tokens[-1] += cleaned
|
| 90 |
else:
|
| 91 |
extracted_tokens.append(cleaned)
|
| 92 |
-
|
| 93 |
extracted_data = " ".join(extracted_tokens).strip()
|
| 94 |
-
|
| 95 |
return {
|
| 96 |
"intent": final_intent,
|
| 97 |
"confidence": confidence,
|
|
|
|
| 7 |
def __init__(self, path=""):
|
| 8 |
# 1. Resolve paths for BOTH structural graph and matrix weights
|
| 9 |
model_path = os.path.join(path, "joint_command_parser.onnx")
|
| 10 |
+
|
| 11 |
# Initialize the ONNX Runtime execution engine thread pool
|
| 12 |
self.session = ort.InferenceSession(model_path, providers=["CPUExecutionProvider"])
|
| 13 |
+
|
| 14 |
# 2. Match the exact tokenizer backbone used during training
|
| 15 |
self.tokenizer = AutoTokenizer.from_pretrained("distilbert-base-uncased")
|
| 16 |
+
|
| 17 |
# 3. Structural target layouts
|
| 18 |
self.intents = [
|
| 19 |
# document editing
|
|
|
|
| 48 |
inputs_payload = data.get("inputs", "")
|
| 49 |
if not inputs_payload:
|
| 50 |
return {"error": "Missing 'inputs' string parameter inside payload."}
|
| 51 |
+
|
| 52 |
# Tokenize incoming sequence matching matrix bounds
|
| 53 |
tokenized = self.tokenizer(
|
| 54 |
inputs_payload,
|
|
|
|
| 57 |
truncation=True,
|
| 58 |
return_tensors="np"
|
| 59 |
)
|
| 60 |
+
|
| 61 |
onnx_feeds = {
|
| 62 |
"input_ids": tokenized["input_ids"].astype(np.int64),
|
| 63 |
"attention_mask": tokenized["attention_mask"].astype(np.int64)
|
| 64 |
}
|
| 65 |
+
|
| 66 |
# Run execution graph matrix calculations
|
| 67 |
intent_logits, ner_logits = self.session.run(None, onnx_feeds)
|
| 68 |
+
|
| 69 |
# Decode Intent array using Softmax calculation
|
| 70 |
logits_exp = np.exp(intent_logits[0])
|
| 71 |
probs = logits_exp / np.sum(logits_exp)
|
| 72 |
intent_idx = np.argmax(probs)
|
| 73 |
+
|
| 74 |
# Apply strict fallback thresholds
|
| 75 |
confidence = float(probs[intent_idx])
|
| 76 |
final_intent = self.intents[intent_idx] if confidence >= 0.65 else "unknown"
|
| 77 |
+
|
| 78 |
# Process and decode non-zero NER spans
|
| 79 |
ner_tags = np.argmax(ner_logits[0], axis=-1)
|
| 80 |
tokens = self.tokenizer.convert_ids_to_tokens(tokenized["input_ids"][0])
|
| 81 |
+
|
| 82 |
extracted_tokens = []
|
| 83 |
for token, tag in zip(tokens, ner_tags):
|
| 84 |
if token in [self.tokenizer.cls_token, self.tokenizer.sep_token, self.tokenizer.pad_token]:
|
|
|
|
| 89 |
extracted_tokens[-1] += cleaned
|
| 90 |
else:
|
| 91 |
extracted_tokens.append(cleaned)
|
| 92 |
+
|
| 93 |
extracted_data = " ".join(extracted_tokens).strip()
|
| 94 |
+
|
| 95 |
return {
|
| 96 |
"intent": final_intent,
|
| 97 |
"confidence": confidence,
|
requirements.txt
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
absl-py==1.4.0
|
| 2 |
-
accelerate==1.
|
| 3 |
access==1.1.10.post3
|
| 4 |
affine==3.0.1
|
| 5 |
aiofiles==25.1.0
|
|
@@ -15,7 +15,7 @@ altair==5.5.0
|
|
| 15 |
annotated-doc==0.0.5
|
| 16 |
annotated-types==0.8.0
|
| 17 |
antlr4-python3-runtime==4.9.3
|
| 18 |
-
anyio==4.
|
| 19 |
anywidget==0.9.21
|
| 20 |
apsw==3.53.4.0
|
| 21 |
argon2-cffi==25.1.0
|
|
@@ -24,7 +24,7 @@ array_record==0.8.3
|
|
| 24 |
arrow==1.4.0
|
| 25 |
arviz==0.22.0
|
| 26 |
astropy==7.2.2
|
| 27 |
-
astropy-iers-data==0.2026.
|
| 28 |
astunparse==1.6.3
|
| 29 |
atpublic==5.1
|
| 30 |
attrs==26.1.0
|
|
@@ -37,13 +37,13 @@ backcall==0.2.0
|
|
| 37 |
beartype==0.22.9
|
| 38 |
beautifulsoup4==4.13.5
|
| 39 |
betterproto==2.0.0b7
|
| 40 |
-
bigframes==2.
|
| 41 |
bigquery-magics==0.14.0
|
| 42 |
bleach==6.4.0
|
| 43 |
blinker==1.9.0
|
| 44 |
blis==1.3.3
|
| 45 |
blobfile==3.3.0
|
| 46 |
-
blosc2==4.
|
| 47 |
bokeh==3.8.2
|
| 48 |
Bottleneck==1.4.2
|
| 49 |
bqplot==0.12.47
|
|
@@ -68,22 +68,23 @@ colorlover==0.3.0
|
|
| 68 |
community==1.0.0b1
|
| 69 |
confection==1.3.3
|
| 70 |
cons==0.4.7
|
| 71 |
-
contourpy==1.
|
| 72 |
-
|
| 73 |
-
|
| 74 |
-
|
| 75 |
-
|
| 76 |
-
cuda-
|
| 77 |
-
cuda-
|
| 78 |
-
cuda-
|
| 79 |
-
cuda-
|
| 80 |
-
|
| 81 |
-
cudf-
|
|
|
|
| 82 |
cufflinks==0.17.3
|
| 83 |
-
cuml-
|
| 84 |
-
cupy-
|
| 85 |
-
curl_cffi==0.16.
|
| 86 |
-
cuvs-
|
| 87 |
cvxopt==1.3.2
|
| 88 |
cvxpy==1.6.7
|
| 89 |
cycler==0.12.1
|
|
@@ -91,8 +92,8 @@ cyipopt==1.5.0
|
|
| 91 |
cymem==2.0.13
|
| 92 |
Cython==3.0.12
|
| 93 |
dask==2026.1.1
|
| 94 |
-
dask-cuda==26.
|
| 95 |
-
dask-cudf-
|
| 96 |
dataproc-spark-connect==1.1.0
|
| 97 |
datasets==4.8.5
|
| 98 |
db-dtypes==1.7.1
|
|
@@ -104,9 +105,9 @@ deprecation==2.1.0
|
|
| 104 |
diffusers==0.40.0
|
| 105 |
dill==0.4.1
|
| 106 |
distributed==2026.1.1
|
| 107 |
-
distributed-ucxx-
|
| 108 |
distro==1.9.0
|
| 109 |
-
dlib==
|
| 110 |
dm-tree==0.1.10
|
| 111 |
docstring_parser==0.18.0
|
| 112 |
docutils==0.21.2
|
|
@@ -115,7 +116,7 @@ duckdb==1.3.2
|
|
| 115 |
earthengine-api==1.7.39
|
| 116 |
easydict==1.13
|
| 117 |
editdistance==0.8.1
|
| 118 |
-
eerepr==0.1.
|
| 119 |
einops==0.8.2
|
| 120 |
en_core_web_sm @ https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.8.0/en_core_web_sm-3.8.0-py3-none-any.whl#sha256=1932429db727d4bff3deed6b34cfc05df17794f4a52eeb26cf8928f7c1a0fb85
|
| 121 |
entrypoints==0.4
|
|
@@ -124,22 +125,22 @@ et_xmlfile==2.0.0
|
|
| 124 |
etils==1.14.0
|
| 125 |
etuples==0.3.10
|
| 126 |
Farama-Notifications==0.0.6
|
| 127 |
-
fastai==2.8.
|
| 128 |
fastapi==0.141.1
|
| 129 |
-
fastcore==2.2.
|
| 130 |
-
fastdownload==0.0.
|
| 131 |
fastjsonschema==2.22.2
|
| 132 |
fastprogress==1.1.6
|
| 133 |
-
fasttransform==0.0.
|
| 134 |
-
filelock==
|
| 135 |
firebase-admin==6.9.0
|
| 136 |
Flask==3.1.3
|
| 137 |
flatbuffers==25.12.19
|
| 138 |
flax==0.11.2
|
| 139 |
folium==0.20.0
|
| 140 |
-
fonttools==4.
|
| 141 |
formulaic==1.2.2
|
| 142 |
-
fqdn==1.
|
| 143 |
frozendict==2.4.7
|
| 144 |
frozenlist==1.8.0
|
| 145 |
fsspec==2025.12.0
|
|
@@ -148,55 +149,52 @@ gast==0.7.0
|
|
| 148 |
gcsfs==2025.12.0
|
| 149 |
GDAL==3.8.4
|
| 150 |
gdown==5.2.2
|
| 151 |
-
geemap==0.38.
|
| 152 |
geocoder==1.38.1
|
| 153 |
geographiclib==2.1
|
| 154 |
-
geopandas==1.
|
| 155 |
geopy==2.4.1
|
| 156 |
giddy==2.3.9
|
| 157 |
gin-config==0.5.0
|
| 158 |
glob2==0.7
|
| 159 |
google==3.0.0
|
| 160 |
google-adk==2.7.1
|
| 161 |
-
google-ai-generativelanguage==0.6.15
|
| 162 |
google-api-core==2.30.3
|
| 163 |
-
google-api-python-client==2.
|
| 164 |
google-auth==2.49.0
|
| 165 |
-
google-auth-httplib2==0.4.
|
| 166 |
-
google-auth-oauthlib==1.
|
| 167 |
-
google-cloud-bigquery==3.
|
| 168 |
google-cloud-bigquery-connection==1.22.0
|
| 169 |
-
google-cloud-bigquery-storage==2.
|
| 170 |
-
google-cloud-core==2.
|
| 171 |
-
google-cloud-dataproc==5.
|
| 172 |
-
google-cloud-datastore==2.
|
| 173 |
-
google-cloud-firestore==2.
|
| 174 |
google-cloud-functions==1.24.0
|
| 175 |
google-cloud-language==2.21.0
|
| 176 |
google-cloud-monitoring==2.31.0
|
| 177 |
google-cloud-resource-manager==1.18.0
|
| 178 |
-
google-cloud-spanner==3.
|
| 179 |
-
google-cloud-storage==3.
|
| 180 |
-
google-cloud-storage-control==1.
|
| 181 |
google-cloud-translate==3.27.0
|
| 182 |
google-colab @ file:///colabtools/dist/google_colab-1.0.0.tar.gz
|
| 183 |
-
google-crc32c==1.
|
| 184 |
google-genai==2.12.1
|
| 185 |
-
google-generativeai==0.8.6
|
| 186 |
google-pasta==0.2.0
|
| 187 |
-
google-resumable-media==2.
|
| 188 |
-
googleapis-common-protos==1.75.
|
| 189 |
googledrivedownloader==1.1.0
|
| 190 |
-
gradio==6.
|
| 191 |
-
gradio_client==2.
|
| 192 |
grain==0.2.18
|
| 193 |
graphviz==0.21
|
| 194 |
-
greenlet==3.5.5
|
| 195 |
groovy==0.1.2
|
| 196 |
-
grpc-google-iam-v1==0.14.
|
| 197 |
grpc-interceptor==0.15.4
|
| 198 |
-
grpcio==1.
|
| 199 |
-
grpcio-status==1.
|
| 200 |
grpclib==0.4.9
|
| 201 |
gspread==6.2.1
|
| 202 |
gspread-dataframe==4.0.0
|
|
@@ -206,29 +204,29 @@ gymnasium==1.3.0
|
|
| 206 |
h11==0.16.0
|
| 207 |
h2==4.4.1
|
| 208 |
h5netcdf==1.8.1
|
| 209 |
-
h5py==3.
|
| 210 |
hdbscan==0.8.44
|
| 211 |
hf-gradio==0.4.1
|
| 212 |
hf-xet==1.6.0
|
| 213 |
highspy==1.15.1
|
| 214 |
-
holidays==0.
|
| 215 |
holoviews==1.23.2
|
| 216 |
hpack==4.2.0
|
| 217 |
html5lib==1.1
|
| 218 |
httpcore==1.0.9
|
| 219 |
-
httpcore2==2.
|
| 220 |
httpimport==1.4.1
|
| 221 |
httplib2==0.32.0
|
| 222 |
httptools==0.8.0
|
| 223 |
httpx==0.28.1
|
| 224 |
-
httpx2==2.
|
| 225 |
-
huggingface_hub==1.
|
| 226 |
humanize==4.16.0
|
| 227 |
hyperframe==6.1.0
|
| 228 |
hyperopt==0.3.0
|
| 229 |
ibis-framework==9.5.0
|
| 230 |
-
idna==3.
|
| 231 |
-
ImageIO==2.
|
| 232 |
imageio-ffmpeg==0.6.0
|
| 233 |
imagesize==2.0.1
|
| 234 |
imbalanced-learn==0.14.2
|
|
@@ -256,13 +254,13 @@ jaraco.classes==3.4.0
|
|
| 256 |
jaraco.context==6.1.2
|
| 257 |
jaraco.functools==4.6.0
|
| 258 |
jax==0.11.1
|
| 259 |
-
jax-
|
| 260 |
-
jax-
|
| 261 |
jaxlib==0.11.1
|
| 262 |
jeepney==0.9.0
|
| 263 |
jieba==0.42.1
|
| 264 |
Jinja2==3.1.6
|
| 265 |
-
jiter==0.
|
| 266 |
joblib==1.6.0
|
| 267 |
joserfc==1.7.5
|
| 268 |
jsonpatch==1.33
|
|
@@ -290,40 +288,43 @@ keras-nlp==0.26.0
|
|
| 290 |
keyring==25.7.0
|
| 291 |
keyrings.google-artifactregistry-auth==1.1.2
|
| 292 |
kiwisolver==1.5.1
|
| 293 |
-
langchain==1.
|
| 294 |
-
langchain-core==1.6.
|
| 295 |
langchain-protocol==0.0.19
|
| 296 |
-
langgraph==1.2.
|
| 297 |
langgraph-checkpoint==4.2.0
|
| 298 |
langgraph-prebuilt==1.1.0
|
| 299 |
-
langgraph-sdk==0.4.
|
| 300 |
-
langsmith==0.
|
| 301 |
lark==1.3.1
|
| 302 |
launchpadlib==1.11.0
|
| 303 |
lazr.restfulclient==0.14.6
|
| 304 |
lazr.uri==1.0.6
|
| 305 |
-
lazy-loader==0.
|
| 306 |
libclang==18.1.1
|
| 307 |
-
libcudf-
|
| 308 |
-
libcugraph-
|
| 309 |
-
libcuml-
|
| 310 |
-
libcuvs-
|
| 311 |
-
libkvikio-
|
|
|
|
| 312 |
libpysal==4.14.1
|
| 313 |
-
libraft-
|
| 314 |
-
|
|
|
|
| 315 |
librosa==0.11.0
|
| 316 |
-
libucx-
|
| 317 |
-
libucxx-
|
| 318 |
lightgbm==4.6.0
|
| 319 |
linkify-it-py==2.2.0
|
| 320 |
llvmlite==0.44.0
|
| 321 |
locket==1.0.0
|
| 322 |
logical-unification==0.4.7
|
| 323 |
-
lxml==6.1.
|
|
|
|
| 324 |
Mako==1.3.2.dev0
|
| 325 |
mapclassify==2.10.0
|
| 326 |
-
Markdown==3.
|
| 327 |
markdown-it-py==4.2.0
|
| 328 |
MarkupSafe==3.0.3
|
| 329 |
matplotlib==3.10.0
|
|
@@ -339,20 +340,20 @@ mizani==0.13.5
|
|
| 339 |
mkl==2025.3.1
|
| 340 |
ml_dtypes==0.6.0
|
| 341 |
mlxtend==0.23.4
|
| 342 |
-
mmh3==5.3.
|
| 343 |
momepy==0.11.0
|
| 344 |
more-itertools==10.8.0
|
| 345 |
moviepy==1.0.3
|
| 346 |
mpmath==1.3.0
|
| 347 |
-
msgpack==1.2.
|
| 348 |
-
multidict==6.
|
| 349 |
multipledispatch==1.0.0
|
| 350 |
multiprocess==0.70.19
|
| 351 |
multitasking==0.0.13
|
| 352 |
murmurhash==1.0.15
|
| 353 |
music21==9.9.2
|
| 354 |
namex==0.1.0
|
| 355 |
-
narwhals==2.
|
| 356 |
natsort==8.4.0
|
| 357 |
nbclassic==1.3.3
|
| 358 |
nbclient==0.10.4
|
|
@@ -360,46 +361,60 @@ nbconvert==7.17.1
|
|
| 360 |
nbformat==5.11.1
|
| 361 |
ndindex==1.10.1
|
| 362 |
nest-asyncio==1.6.0
|
| 363 |
-
networkx==3.
|
| 364 |
nh3==0.3.7
|
| 365 |
nibabel==5.4.2
|
| 366 |
nltk==3.9.1
|
| 367 |
notebook==6.5.7
|
| 368 |
notebook_shim==0.2.4
|
| 369 |
numba==0.61.2
|
| 370 |
-
numba-cuda==0.
|
| 371 |
numexpr==2.14.2
|
| 372 |
numpy==2.1.3
|
| 373 |
-
|
| 374 |
-
nvidia-
|
| 375 |
-
nvidia-
|
| 376 |
-
nvidia-cuda-
|
| 377 |
-
nvidia-cuda-
|
| 378 |
-
nvidia-cuda-
|
| 379 |
-
nvidia-
|
| 380 |
-
nvidia-
|
| 381 |
-
nvidia-
|
| 382 |
-
nvidia-
|
| 383 |
-
nvidia-
|
| 384 |
-
nvidia-
|
| 385 |
-
nvidia-
|
| 386 |
-
nvidia-
|
| 387 |
-
nvidia-
|
| 388 |
-
nvidia-
|
| 389 |
-
nvidia-
|
| 390 |
-
nvidia-
|
| 391 |
-
nvidia-
|
| 392 |
-
nvidia-
|
| 393 |
-
nvidia-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 394 |
nvtx==0.2.16
|
| 395 |
-
nx-cugraph-
|
| 396 |
oauth2client==4.1.3
|
| 397 |
oauthlib==3.3.1
|
| 398 |
omegaconf==2.3.1
|
| 399 |
onemkl-license==2025.3.1
|
| 400 |
-
onnx==1.23.
|
| 401 |
onnx-ir==1.0.0
|
| 402 |
-
onnxruntime==1.
|
| 403 |
onnxscript==0.7.2
|
| 404 |
openai==2.54.0
|
| 405 |
opencv-contrib-python==4.14.0.94
|
|
@@ -413,8 +428,9 @@ opentelemetry-semantic-conventions==0.63b1
|
|
| 413 |
opt_einsum==3.4.0
|
| 414 |
optax==0.2.8
|
| 415 |
optree==0.20.0
|
| 416 |
-
orbax-checkpoint==0.12.
|
| 417 |
orjson==3.12.0
|
|
|
|
| 418 |
ormsgpack==1.12.2
|
| 419 |
osqp==1.1.3
|
| 420 |
packaging==26.3
|
|
@@ -424,18 +440,18 @@ pandas-gbq==0.30.0
|
|
| 424 |
pandas-stubs==2.2.3.250527
|
| 425 |
pandocfilters==1.5.1
|
| 426 |
panel==1.9.4
|
| 427 |
-
panel-material-ui==0.
|
| 428 |
-
param==2.4.
|
| 429 |
parso==0.8.7
|
| 430 |
parsy==2.2
|
| 431 |
partd==1.4.2
|
| 432 |
patsy==1.0.3
|
| 433 |
-
peewee==4.
|
| 434 |
-
peft==0.
|
| 435 |
pexpect==4.9.0
|
| 436 |
pickleshare==0.7.5
|
| 437 |
pillow==11.3.0
|
| 438 |
-
platformdirs==4.
|
| 439 |
plotly==5.24.1
|
| 440 |
plotnine==0.14.5
|
| 441 |
pluggy==1.6.0
|
|
@@ -452,15 +468,15 @@ progressbar2==4.5.0
|
|
| 452 |
prometheus_client==0.26.0
|
| 453 |
promise==2.3
|
| 454 |
prompt_toolkit==3.0.53
|
| 455 |
-
propcache==0.5.
|
| 456 |
prophet==1.4.0
|
| 457 |
-
proto-plus==1.
|
| 458 |
-
protobuf==
|
| 459 |
psutil==5.9.5
|
| 460 |
-
psycopg2==2.9.
|
| 461 |
-
psygnal==0.
|
| 462 |
ptyprocess==0.7.0
|
| 463 |
-
PuLP==
|
| 464 |
py-cpuinfo==9.0.0
|
| 465 |
py4j==0.10.9.9
|
| 466 |
pyarrow==23.0.1
|
|
@@ -479,23 +495,23 @@ PyDrive2==1.21.1
|
|
| 479 |
pydub==0.25.1
|
| 480 |
pyerfa==2.0.1.5
|
| 481 |
pygame==2.6.1
|
| 482 |
-
pygit2==1.20.
|
| 483 |
Pygments==2.21.0
|
| 484 |
PyGObject==3.48.2
|
| 485 |
pyiceberg==0.12.0
|
| 486 |
-
PyJWT==2.
|
| 487 |
-
pylibcudf-
|
| 488 |
-
pylibcugraph-
|
| 489 |
-
pylibraft-
|
| 490 |
pymc==5.28.5
|
| 491 |
pynndescent==0.6.0
|
| 492 |
pyogrio==0.13.0
|
| 493 |
pyomo==6.10.1
|
| 494 |
PyOpenGL==3.1.10
|
| 495 |
pyOpenSSL==26.4.0
|
| 496 |
-
pyparsing==3.3.
|
| 497 |
pyperclip==1.11.0
|
| 498 |
-
pyproj==3.
|
| 499 |
pyroaring==1.1.0
|
| 500 |
pysal==25.7
|
| 501 |
pyshp==3.1.6
|
|
@@ -507,23 +523,24 @@ python-apt==0.0.0
|
|
| 507 |
python-box==7.4.1
|
| 508 |
python-dateutil==2.9.0.post0
|
| 509 |
python-dotenv==1.2.3
|
| 510 |
-
python-fasthtml==0.14.
|
| 511 |
python-json-logger==4.2.0
|
| 512 |
python-louvain==0.16
|
| 513 |
python-multipart==0.0.32
|
| 514 |
-
python-slugify==
|
| 515 |
python-snappy==0.7.3
|
| 516 |
python-utils==4.0.1
|
| 517 |
pytz==2025.2
|
| 518 |
pyviz_comms==3.0.6
|
| 519 |
-
PyWavelets==1.
|
| 520 |
PyYAML==6.0.3
|
| 521 |
pyzmq==26.2.1
|
| 522 |
-
quantecon==0.
|
| 523 |
-
raft-dask-
|
| 524 |
-
rapids-dask-dependency==26.
|
| 525 |
rapids-logger==0.2.3
|
| 526 |
-
|
|
|
|
| 527 |
rasterstats==0.21.0
|
| 528 |
ratelim==0.1.6
|
| 529 |
referencing==0.37.0
|
|
@@ -536,7 +553,7 @@ rfc3339-validator==0.1.4
|
|
| 536 |
rfc3986-validator==0.1.1
|
| 537 |
rfc3987-syntax==1.1.0
|
| 538 |
rich==13.9.4
|
| 539 |
-
rmm-
|
| 540 |
roman-numerals==4.1.0
|
| 541 |
roman-numerals-py==4.1.0
|
| 542 |
rpds-py==2026.6.3
|
|
@@ -548,8 +565,8 @@ safetensors==0.8.0
|
|
| 548 |
scikit-image==0.25.2
|
| 549 |
scikit-learn==1.6.1
|
| 550 |
scipy==1.16.3
|
| 551 |
-
scooby==0.
|
| 552 |
-
scs==3.
|
| 553 |
seaborn==0.13.2
|
| 554 |
SecretStorage==3.5.0
|
| 555 |
segregation==2.5.4
|
|
@@ -557,7 +574,7 @@ semantic-version==2.10.0
|
|
| 557 |
Send2Trash==2.1.0
|
| 558 |
sentence-transformers==5.7.0
|
| 559 |
sentencepiece==0.2.2
|
| 560 |
-
sentry-sdk==2.
|
| 561 |
setuptools==80.10.2
|
| 562 |
shap==0.52.0
|
| 563 |
shapely==2.1.2
|
|
@@ -569,18 +586,18 @@ six==1.17.0
|
|
| 569 |
sklearn-compat==0.1.6
|
| 570 |
sklearn-pandas==2.2.0
|
| 571 |
slicer==0.0.8
|
| 572 |
-
smart_open==8.0.
|
| 573 |
sniffio==1.3.1
|
| 574 |
snowballstemmer==3.1.1
|
| 575 |
sortedcontainers==2.4.0
|
| 576 |
soundfile==0.14.0
|
| 577 |
-
soupsieve==2.
|
| 578 |
soxr==1.1.0
|
| 579 |
spacy==3.8.16
|
| 580 |
spacy-legacy==3.0.12
|
| 581 |
spacy-loggers==1.0.5
|
| 582 |
spaghetti==1.7.6
|
| 583 |
-
spanner-graph-notebook==1.1.
|
| 584 |
spglm==1.1.0
|
| 585 |
Sphinx==8.2.3
|
| 586 |
sphinxcontrib-applehelp==2.0.0
|
|
@@ -593,15 +610,15 @@ spint==1.1.0
|
|
| 593 |
splot==1.1.7
|
| 594 |
spopt==0.7.0
|
| 595 |
spreg==1.9.0
|
| 596 |
-
SQLAlchemy==2.
|
| 597 |
sqlglot==25.20.2
|
| 598 |
sqlparse==0.6.0
|
| 599 |
-
srsly==2.5.
|
| 600 |
standard-aifc==3.13.0
|
| 601 |
standard-chunk==3.13.0
|
| 602 |
standard-sunau==3.13.0
|
| 603 |
stanio==0.5.1
|
| 604 |
-
starlette==1.
|
| 605 |
statsmodels==0.15.0
|
| 606 |
strictyaml==1.7.3
|
| 607 |
stringzilla==5.1.2
|
|
@@ -613,46 +630,46 @@ tbb==2022.3.1
|
|
| 613 |
tblib==3.2.2
|
| 614 |
tcmlib==1.5.0
|
| 615 |
tenacity==9.1.4
|
| 616 |
-
tensorboard==2.
|
| 617 |
tensorboard-data-server==0.7.2
|
| 618 |
-
tensorflow==2.
|
| 619 |
tensorflow-datasets==4.9.10
|
| 620 |
tensorflow-hub==0.16.1
|
| 621 |
tensorflow-metadata==1.21.0
|
| 622 |
tensorflow-probability==0.25.0
|
| 623 |
-
tensorflow-text==2.
|
| 624 |
tensorstore==0.1.85
|
| 625 |
termcolor==3.3.0
|
| 626 |
terminado==0.18.1
|
| 627 |
text-unidecode==1.3
|
| 628 |
textblob==0.19.0
|
| 629 |
tf-slim==1.1.0
|
| 630 |
-
tf_keras==2.
|
| 631 |
thinc==8.3.13
|
| 632 |
-
threadpoolctl==3.
|
| 633 |
-
tifffile==2026.
|
| 634 |
tiktoken==0.14.0
|
| 635 |
-
timm==1.0.
|
| 636 |
tinycss2==1.5.1
|
| 637 |
tobler==0.14.0
|
| 638 |
-
tokenizers==0.23.
|
| 639 |
toml==0.10.2
|
| 640 |
tomlkit==0.14.0
|
| 641 |
toolz==0.12.1
|
| 642 |
-
torch==2.11.0+
|
| 643 |
torchao==0.10.0
|
| 644 |
-
torchaudio==2.11.0+
|
| 645 |
-
torchcodec==0.11.0+
|
| 646 |
torchdata==0.11.0
|
| 647 |
torchsummary==1.5.1
|
| 648 |
torchtune==0.6.1
|
| 649 |
-
torchvision==0.26.0+
|
| 650 |
tornado==6.5.7
|
| 651 |
tqdm==4.67.3
|
| 652 |
traitlets==5.7.1
|
| 653 |
traittypes==0.2.3
|
| 654 |
-
transformers==5.
|
| 655 |
-
treelite==4.7.
|
| 656 |
treescope==0.1.10
|
| 657 |
triton==3.6.0
|
| 658 |
truststore==0.10.4
|
|
@@ -660,47 +677,48 @@ tsfresh==0.21.2
|
|
| 660 |
tweepy==4.17.0
|
| 661 |
typeguard==4.6.0
|
| 662 |
typer==0.27.2
|
| 663 |
-
types-pytz==2026.
|
| 664 |
types-setuptools==84.0.0.20260812
|
| 665 |
typing-inspection==0.4.4
|
| 666 |
typing_extensions==4.16.0
|
| 667 |
-
tzdata==2026.
|
| 668 |
tzlocal==5.4.4
|
| 669 |
-
ucxx-
|
| 670 |
umap-learn==0.5.12
|
| 671 |
umf==1.0.3
|
| 672 |
uri-template==1.3.0
|
| 673 |
uritemplate==4.2.0
|
| 674 |
urllib3==2.5.0
|
| 675 |
-
uuid_utils==0.17.
|
| 676 |
-
uvicorn==0.
|
| 677 |
-
uvloop==0.
|
| 678 |
vega-datasets==0.9.0
|
| 679 |
wadllib==1.3.6
|
| 680 |
wandb==0.28.1
|
| 681 |
wasabi==1.1.3
|
| 682 |
watchdog==6.0.0
|
| 683 |
-
watchfiles==1.
|
| 684 |
-
wcwidth==0.
|
| 685 |
weasel==1.0.0
|
| 686 |
webcolors==25.10.0
|
| 687 |
webencodings==0.6.1
|
| 688 |
websocket-client==1.9.2
|
| 689 |
websockets==15.0.1
|
| 690 |
-
Werkzeug==3.1.
|
| 691 |
wheel==0.48.0
|
| 692 |
widgetsnbextension==3.6.10
|
| 693 |
wordcloud==1.9.6
|
| 694 |
-
wrapt==2.
|
| 695 |
xarray==2025.12.0
|
| 696 |
xarray-einstats==0.11.0
|
|
|
|
| 697 |
xgboost==3.4.1
|
| 698 |
xlrd==2.0.2
|
| 699 |
xxhash==4.0.1
|
| 700 |
-
xyzservices==2026.
|
| 701 |
-
yarl==1.
|
| 702 |
ydf==0.15.0
|
| 703 |
-
ydf_tf==2.
|
| 704 |
yellowbrick==1.5
|
| 705 |
yfinance==0.2.66
|
| 706 |
zict==3.0.0
|
|
|
|
| 1 |
absl-py==1.4.0
|
| 2 |
+
accelerate==1.15.0
|
| 3 |
access==1.1.10.post3
|
| 4 |
affine==3.0.1
|
| 5 |
aiofiles==25.1.0
|
|
|
|
| 15 |
annotated-doc==0.0.5
|
| 16 |
annotated-types==0.8.0
|
| 17 |
antlr4-python3-runtime==4.9.3
|
| 18 |
+
anyio==4.15.1
|
| 19 |
anywidget==0.9.21
|
| 20 |
apsw==3.53.4.0
|
| 21 |
argon2-cffi==25.1.0
|
|
|
|
| 24 |
arrow==1.4.0
|
| 25 |
arviz==0.22.0
|
| 26 |
astropy==7.2.2
|
| 27 |
+
astropy-iers-data==0.2026.9.28.0.59.37
|
| 28 |
astunparse==1.6.3
|
| 29 |
atpublic==5.1
|
| 30 |
attrs==26.1.0
|
|
|
|
| 37 |
beartype==0.22.9
|
| 38 |
beautifulsoup4==4.13.5
|
| 39 |
betterproto==2.0.0b7
|
| 40 |
+
bigframes==2.49.0
|
| 41 |
bigquery-magics==0.14.0
|
| 42 |
bleach==6.4.0
|
| 43 |
blinker==1.9.0
|
| 44 |
blis==1.3.3
|
| 45 |
blobfile==3.3.0
|
| 46 |
+
blosc2==4.14.1
|
| 47 |
bokeh==3.8.2
|
| 48 |
Bottleneck==1.4.2
|
| 49 |
bqplot==0.12.47
|
|
|
|
| 68 |
community==1.0.0b1
|
| 69 |
confection==1.3.3
|
| 70 |
cons==0.4.7
|
| 71 |
+
contourpy==1.4.0
|
| 72 |
+
cpsat-logutils==1.0.0
|
| 73 |
+
cramjam==2.13.0
|
| 74 |
+
cryptography==50.0.2
|
| 75 |
+
cucim-cu13==26.6.0
|
| 76 |
+
cuda-bindings==13.0.3
|
| 77 |
+
cuda-core==0.7.0
|
| 78 |
+
cuda-pathfinder==1.8.2
|
| 79 |
+
cuda-python==13.0.3
|
| 80 |
+
cuda-toolkit==13.0.2
|
| 81 |
+
cudf-cu13==26.6.0
|
| 82 |
+
cudf-polars-cu13==26.6.0
|
| 83 |
cufflinks==0.17.3
|
| 84 |
+
cuml-cu13==26.6.0
|
| 85 |
+
cupy-cuda13x==14.0.1
|
| 86 |
+
curl_cffi==0.16.3
|
| 87 |
+
cuvs-cu13==26.6.0
|
| 88 |
cvxopt==1.3.2
|
| 89 |
cvxpy==1.6.7
|
| 90 |
cycler==0.12.1
|
|
|
|
| 92 |
cymem==2.0.13
|
| 93 |
Cython==3.0.12
|
| 94 |
dask==2026.1.1
|
| 95 |
+
dask-cuda==26.6.0
|
| 96 |
+
dask-cudf-cu13==26.6.0
|
| 97 |
dataproc-spark-connect==1.1.0
|
| 98 |
datasets==4.8.5
|
| 99 |
db-dtypes==1.7.1
|
|
|
|
| 105 |
diffusers==0.40.0
|
| 106 |
dill==0.4.1
|
| 107 |
distributed==2026.1.1
|
| 108 |
+
distributed-ucxx-cu13==0.50.1
|
| 109 |
distro==1.9.0
|
| 110 |
+
dlib==20.0.1
|
| 111 |
dm-tree==0.1.10
|
| 112 |
docstring_parser==0.18.0
|
| 113 |
docutils==0.21.2
|
|
|
|
| 116 |
earthengine-api==1.7.39
|
| 117 |
easydict==1.13
|
| 118 |
editdistance==0.8.1
|
| 119 |
+
eerepr==0.1.3
|
| 120 |
einops==0.8.2
|
| 121 |
en_core_web_sm @ https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.8.0/en_core_web_sm-3.8.0-py3-none-any.whl#sha256=1932429db727d4bff3deed6b34cfc05df17794f4a52eeb26cf8928f7c1a0fb85
|
| 122 |
entrypoints==0.4
|
|
|
|
| 125 |
etils==1.14.0
|
| 126 |
etuples==0.3.10
|
| 127 |
Farama-Notifications==0.0.6
|
| 128 |
+
fastai==2.8.12
|
| 129 |
fastapi==0.141.1
|
| 130 |
+
fastcore==2.2.32
|
| 131 |
+
fastdownload==0.0.8
|
| 132 |
fastjsonschema==2.22.2
|
| 133 |
fastprogress==1.1.6
|
| 134 |
+
fasttransform==0.0.5
|
| 135 |
+
filelock==4.0.7
|
| 136 |
firebase-admin==6.9.0
|
| 137 |
Flask==3.1.3
|
| 138 |
flatbuffers==25.12.19
|
| 139 |
flax==0.11.2
|
| 140 |
folium==0.20.0
|
| 141 |
+
fonttools==4.66.1
|
| 142 |
formulaic==1.2.2
|
| 143 |
+
fqdn==1.6.0
|
| 144 |
frozendict==2.4.7
|
| 145 |
frozenlist==1.8.0
|
| 146 |
fsspec==2025.12.0
|
|
|
|
| 149 |
gcsfs==2025.12.0
|
| 150 |
GDAL==3.8.4
|
| 151 |
gdown==5.2.2
|
| 152 |
+
geemap==0.38.8
|
| 153 |
geocoder==1.38.1
|
| 154 |
geographiclib==2.1
|
| 155 |
+
geopandas==1.2.0
|
| 156 |
geopy==2.4.1
|
| 157 |
giddy==2.3.9
|
| 158 |
gin-config==0.5.0
|
| 159 |
glob2==0.7
|
| 160 |
google==3.0.0
|
| 161 |
google-adk==2.7.1
|
|
|
|
| 162 |
google-api-core==2.30.3
|
| 163 |
+
google-api-python-client==2.201.0
|
| 164 |
google-auth==2.49.0
|
| 165 |
+
google-auth-httplib2==0.4.3
|
| 166 |
+
google-auth-oauthlib==1.5.0
|
| 167 |
+
google-cloud-bigquery==3.45.2
|
| 168 |
google-cloud-bigquery-connection==1.22.0
|
| 169 |
+
google-cloud-bigquery-storage==2.41.0
|
| 170 |
+
google-cloud-core==2.8.0
|
| 171 |
+
google-cloud-dataproc==5.30.0
|
| 172 |
+
google-cloud-datastore==2.26.1
|
| 173 |
+
google-cloud-firestore==2.33.0
|
| 174 |
google-cloud-functions==1.24.0
|
| 175 |
google-cloud-language==2.21.0
|
| 176 |
google-cloud-monitoring==2.31.0
|
| 177 |
google-cloud-resource-manager==1.18.0
|
| 178 |
+
google-cloud-spanner==3.71.0
|
| 179 |
+
google-cloud-storage==3.15.1
|
| 180 |
+
google-cloud-storage-control==1.15.0
|
| 181 |
google-cloud-translate==3.27.0
|
| 182 |
google-colab @ file:///colabtools/dist/google_colab-1.0.0.tar.gz
|
| 183 |
+
google-crc32c==1.9.0
|
| 184 |
google-genai==2.12.1
|
|
|
|
| 185 |
google-pasta==0.2.0
|
| 186 |
+
google-resumable-media==2.11.0
|
| 187 |
+
googleapis-common-protos==1.75.5
|
| 188 |
googledrivedownloader==1.1.0
|
| 189 |
+
gradio==6.29.0
|
| 190 |
+
gradio_client==2.7.1
|
| 191 |
grain==0.2.18
|
| 192 |
graphviz==0.21
|
|
|
|
| 193 |
groovy==0.1.2
|
| 194 |
+
grpc-google-iam-v1==0.14.5
|
| 195 |
grpc-interceptor==0.15.4
|
| 196 |
+
grpcio==1.84.0
|
| 197 |
+
grpcio-status==1.84.0
|
| 198 |
grpclib==0.4.9
|
| 199 |
gspread==6.2.1
|
| 200 |
gspread-dataframe==4.0.0
|
|
|
|
| 204 |
h11==0.16.0
|
| 205 |
h2==4.4.1
|
| 206 |
h5netcdf==1.8.1
|
| 207 |
+
h5py==3.14.0
|
| 208 |
hdbscan==0.8.44
|
| 209 |
hf-gradio==0.4.1
|
| 210 |
hf-xet==1.6.0
|
| 211 |
highspy==1.15.1
|
| 212 |
+
holidays==0.105
|
| 213 |
holoviews==1.23.2
|
| 214 |
hpack==4.2.0
|
| 215 |
html5lib==1.1
|
| 216 |
httpcore==1.0.9
|
| 217 |
+
httpcore2==2.13.1
|
| 218 |
httpimport==1.4.1
|
| 219 |
httplib2==0.32.0
|
| 220 |
httptools==0.8.0
|
| 221 |
httpx==0.28.1
|
| 222 |
+
httpx2==2.13.1
|
| 223 |
+
huggingface_hub==1.33.0
|
| 224 |
humanize==4.16.0
|
| 225 |
hyperframe==6.1.0
|
| 226 |
hyperopt==0.3.0
|
| 227 |
ibis-framework==9.5.0
|
| 228 |
+
idna==3.20
|
| 229 |
+
ImageIO==2.38.0
|
| 230 |
imageio-ffmpeg==0.6.0
|
| 231 |
imagesize==2.0.1
|
| 232 |
imbalanced-learn==0.14.2
|
|
|
|
| 254 |
jaraco.context==6.1.2
|
| 255 |
jaraco.functools==4.6.0
|
| 256 |
jax==0.11.1
|
| 257 |
+
jax-cuda13-pjrt==0.11.1
|
| 258 |
+
jax-cuda13-plugin==0.11.1
|
| 259 |
jaxlib==0.11.1
|
| 260 |
jeepney==0.9.0
|
| 261 |
jieba==0.42.1
|
| 262 |
Jinja2==3.1.6
|
| 263 |
+
jiter==0.17.0
|
| 264 |
joblib==1.6.0
|
| 265 |
joserfc==1.7.5
|
| 266 |
jsonpatch==1.33
|
|
|
|
| 288 |
keyring==25.7.0
|
| 289 |
keyrings.google-artifactregistry-auth==1.1.2
|
| 290 |
kiwisolver==1.5.1
|
| 291 |
+
langchain==1.4.3
|
| 292 |
+
langchain-core==1.6.6
|
| 293 |
langchain-protocol==0.0.19
|
| 294 |
+
langgraph==1.2.12
|
| 295 |
langgraph-checkpoint==4.2.0
|
| 296 |
langgraph-prebuilt==1.1.0
|
| 297 |
+
langgraph-sdk==0.4.5
|
| 298 |
+
langsmith==0.14.2
|
| 299 |
lark==1.3.1
|
| 300 |
launchpadlib==1.11.0
|
| 301 |
lazr.restfulclient==0.14.6
|
| 302 |
lazr.uri==1.0.6
|
| 303 |
+
lazy-loader==0.6
|
| 304 |
libclang==18.1.1
|
| 305 |
+
libcudf-cu13==26.6.0
|
| 306 |
+
libcugraph-cu13==26.6.0
|
| 307 |
+
libcuml-cu13==26.6.0
|
| 308 |
+
libcuvs-cu13==26.6.0
|
| 309 |
+
libkvikio-cu13==26.6.0
|
| 310 |
+
libnvforest-cu13==26.6.0
|
| 311 |
libpysal==4.14.1
|
| 312 |
+
libraft-cu13==26.6.0
|
| 313 |
+
librapidsmpf-cu13==26.6.0
|
| 314 |
+
librmm-cu13==26.6.0
|
| 315 |
librosa==0.11.0
|
| 316 |
+
libucx-cu13==1.20.1
|
| 317 |
+
libucxx-cu13==0.50.0
|
| 318 |
lightgbm==4.6.0
|
| 319 |
linkify-it-py==2.2.0
|
| 320 |
llvmlite==0.44.0
|
| 321 |
locket==1.0.0
|
| 322 |
logical-unification==0.4.7
|
| 323 |
+
lxml==6.1.3
|
| 324 |
+
lz4==4.4.5
|
| 325 |
Mako==1.3.2.dev0
|
| 326 |
mapclassify==2.10.0
|
| 327 |
+
Markdown==3.11
|
| 328 |
markdown-it-py==4.2.0
|
| 329 |
MarkupSafe==3.0.3
|
| 330 |
matplotlib==3.10.0
|
|
|
|
| 340 |
mkl==2025.3.1
|
| 341 |
ml_dtypes==0.6.0
|
| 342 |
mlxtend==0.23.4
|
| 343 |
+
mmh3==5.3.1
|
| 344 |
momepy==0.11.0
|
| 345 |
more-itertools==10.8.0
|
| 346 |
moviepy==1.0.3
|
| 347 |
mpmath==1.3.0
|
| 348 |
+
msgpack==1.2.3
|
| 349 |
+
multidict==6.9.1
|
| 350 |
multipledispatch==1.0.0
|
| 351 |
multiprocess==0.70.19
|
| 352 |
multitasking==0.0.13
|
| 353 |
murmurhash==1.0.15
|
| 354 |
music21==9.9.2
|
| 355 |
namex==0.1.0
|
| 356 |
+
narwhals==2.26.0
|
| 357 |
natsort==8.4.0
|
| 358 |
nbclassic==1.3.3
|
| 359 |
nbclient==0.10.4
|
|
|
|
| 361 |
nbformat==5.11.1
|
| 362 |
ndindex==1.10.1
|
| 363 |
nest-asyncio==1.6.0
|
| 364 |
+
networkx==3.7
|
| 365 |
nh3==0.3.7
|
| 366 |
nibabel==5.4.2
|
| 367 |
nltk==3.9.1
|
| 368 |
notebook==6.5.7
|
| 369 |
notebook_shim==0.2.4
|
| 370 |
numba==0.61.2
|
| 371 |
+
numba-cuda==0.28.2
|
| 372 |
numexpr==2.14.2
|
| 373 |
numpy==2.1.3
|
| 374 |
+
nvforest-cu13==26.6.0
|
| 375 |
+
nvidia-cublas==13.1.0.3
|
| 376 |
+
nvidia-cublas-cu12==12.9.2.10
|
| 377 |
+
nvidia-cuda-cccl==13.0.85
|
| 378 |
+
nvidia-cuda-crt==13.4.92
|
| 379 |
+
nvidia-cuda-cupti==13.0.85
|
| 380 |
+
nvidia-cuda-cupti-cu12==12.9.79
|
| 381 |
+
nvidia-cuda-nvcc==13.0.88
|
| 382 |
+
nvidia-cuda-nvcc-cu12==12.9.86
|
| 383 |
+
nvidia-cuda-nvrtc==13.0.88
|
| 384 |
+
nvidia-cuda-nvrtc-cu12==12.9.86
|
| 385 |
+
nvidia-cuda-runtime==13.0.96
|
| 386 |
+
nvidia-cuda-runtime-cu12==12.9.79
|
| 387 |
+
nvidia-cudnn-cu12==9.27.0.42
|
| 388 |
+
nvidia-cudnn-cu13==9.19.0.56
|
| 389 |
+
nvidia-cufft==12.0.0.61
|
| 390 |
+
nvidia-cufft-cu12==11.4.1.4
|
| 391 |
+
nvidia-cufile==1.15.1.6
|
| 392 |
+
nvidia-curand==10.4.0.35
|
| 393 |
+
nvidia-curand-cu12==10.3.10.19
|
| 394 |
+
nvidia-cusolver==12.0.4.66
|
| 395 |
+
nvidia-cusolver-cu12==11.7.5.82
|
| 396 |
+
nvidia-cusparse==12.6.3.3
|
| 397 |
+
nvidia-cusparse-cu12==12.5.10.65
|
| 398 |
+
nvidia-cusparselt-cu13==0.8.0
|
| 399 |
+
nvidia-libnvcomp-cu13==5.2.0.13
|
| 400 |
+
nvidia-ml-py==13.615.71
|
| 401 |
+
nvidia-nccl-cu12==2.32.3
|
| 402 |
+
nvidia-nccl-cu13==2.28.9
|
| 403 |
+
nvidia-nvimgcodec-cu13==0.8.0.22
|
| 404 |
+
nvidia-nvjitlink==13.0.88
|
| 405 |
+
nvidia-nvjitlink-cu12==12.9.86
|
| 406 |
+
nvidia-nvshmem-cu13==3.4.5
|
| 407 |
+
nvidia-nvtx==13.0.85
|
| 408 |
+
nvidia-nvvm==13.0.88
|
| 409 |
nvtx==0.2.16
|
| 410 |
+
nx-cugraph-cu13==26.6.0
|
| 411 |
oauth2client==4.1.3
|
| 412 |
oauthlib==3.3.1
|
| 413 |
omegaconf==2.3.1
|
| 414 |
onemkl-license==2025.3.1
|
| 415 |
+
onnx==1.23.2
|
| 416 |
onnx-ir==1.0.0
|
| 417 |
+
onnxruntime==1.31.0
|
| 418 |
onnxscript==0.7.2
|
| 419 |
openai==2.54.0
|
| 420 |
opencv-contrib-python==4.14.0.94
|
|
|
|
| 428 |
opt_einsum==3.4.0
|
| 429 |
optax==0.2.8
|
| 430 |
optree==0.20.0
|
| 431 |
+
orbax-checkpoint==0.12.6
|
| 432 |
orjson==3.12.0
|
| 433 |
+
orloge==1.0.0
|
| 434 |
ormsgpack==1.12.2
|
| 435 |
osqp==1.1.3
|
| 436 |
packaging==26.3
|
|
|
|
| 440 |
pandas-stubs==2.2.3.250527
|
| 441 |
pandocfilters==1.5.1
|
| 442 |
panel==1.9.4
|
| 443 |
+
panel-material-ui==0.16.0
|
| 444 |
+
param==2.4.2
|
| 445 |
parso==0.8.7
|
| 446 |
parsy==2.2
|
| 447 |
partd==1.4.2
|
| 448 |
patsy==1.0.3
|
| 449 |
+
peewee==4.5.2
|
| 450 |
+
peft==0.21.1
|
| 451 |
pexpect==4.9.0
|
| 452 |
pickleshare==0.7.5
|
| 453 |
pillow==11.3.0
|
| 454 |
+
platformdirs==4.12.2
|
| 455 |
plotly==5.24.1
|
| 456 |
plotnine==0.14.5
|
| 457 |
pluggy==1.6.0
|
|
|
|
| 468 |
prometheus_client==0.26.0
|
| 469 |
promise==2.3
|
| 470 |
prompt_toolkit==3.0.53
|
| 471 |
+
propcache==0.5.4
|
| 472 |
prophet==1.4.0
|
| 473 |
+
proto-plus==1.29.0
|
| 474 |
+
protobuf==6.33.6
|
| 475 |
psutil==5.9.5
|
| 476 |
+
psycopg2==2.9.13
|
| 477 |
+
psygnal==0.16.1
|
| 478 |
ptyprocess==0.7.0
|
| 479 |
+
PuLP==4.0.0
|
| 480 |
py-cpuinfo==9.0.0
|
| 481 |
py4j==0.10.9.9
|
| 482 |
pyarrow==23.0.1
|
|
|
|
| 495 |
pydub==0.25.1
|
| 496 |
pyerfa==2.0.1.5
|
| 497 |
pygame==2.6.1
|
| 498 |
+
pygit2==1.20.1
|
| 499 |
Pygments==2.21.0
|
| 500 |
PyGObject==3.48.2
|
| 501 |
pyiceberg==0.12.0
|
| 502 |
+
PyJWT==2.15.1
|
| 503 |
+
pylibcudf-cu13==26.6.0
|
| 504 |
+
pylibcugraph-cu13==26.6.0
|
| 505 |
+
pylibraft-cu13==26.6.0
|
| 506 |
pymc==5.28.5
|
| 507 |
pynndescent==0.6.0
|
| 508 |
pyogrio==0.13.0
|
| 509 |
pyomo==6.10.1
|
| 510 |
PyOpenGL==3.1.10
|
| 511 |
pyOpenSSL==26.4.0
|
| 512 |
+
pyparsing==3.3.3
|
| 513 |
pyperclip==1.11.0
|
| 514 |
+
pyproj==3.8.0
|
| 515 |
pyroaring==1.1.0
|
| 516 |
pysal==25.7
|
| 517 |
pyshp==3.1.6
|
|
|
|
| 523 |
python-box==7.4.1
|
| 524 |
python-dateutil==2.9.0.post0
|
| 525 |
python-dotenv==1.2.3
|
| 526 |
+
python-fasthtml==0.14.13
|
| 527 |
python-json-logger==4.2.0
|
| 528 |
python-louvain==0.16
|
| 529 |
python-multipart==0.0.32
|
| 530 |
+
python-slugify==9.1.2
|
| 531 |
python-snappy==0.7.3
|
| 532 |
python-utils==4.0.1
|
| 533 |
pytz==2025.2
|
| 534 |
pyviz_comms==3.0.6
|
| 535 |
+
PyWavelets==1.10.0
|
| 536 |
PyYAML==6.0.3
|
| 537 |
pyzmq==26.2.1
|
| 538 |
+
quantecon==0.12.0
|
| 539 |
+
raft-dask-cu13==26.6.0
|
| 540 |
+
rapids-dask-dependency==26.6.0
|
| 541 |
rapids-logger==0.2.3
|
| 542 |
+
rapidsmpf-cu13==26.6.0
|
| 543 |
+
rasterio==1.5.2
|
| 544 |
rasterstats==0.21.0
|
| 545 |
ratelim==0.1.6
|
| 546 |
referencing==0.37.0
|
|
|
|
| 553 |
rfc3986-validator==0.1.1
|
| 554 |
rfc3987-syntax==1.1.0
|
| 555 |
rich==13.9.4
|
| 556 |
+
rmm-cu13==26.6.0
|
| 557 |
roman-numerals==4.1.0
|
| 558 |
roman-numerals-py==4.1.0
|
| 559 |
rpds-py==2026.6.3
|
|
|
|
| 565 |
scikit-image==0.25.2
|
| 566 |
scikit-learn==1.6.1
|
| 567 |
scipy==1.16.3
|
| 568 |
+
scooby==0.12.0
|
| 569 |
+
scs==3.3.1
|
| 570 |
seaborn==0.13.2
|
| 571 |
SecretStorage==3.5.0
|
| 572 |
segregation==2.5.4
|
|
|
|
| 574 |
Send2Trash==2.1.0
|
| 575 |
sentence-transformers==5.7.0
|
| 576 |
sentencepiece==0.2.2
|
| 577 |
+
sentry-sdk==2.71.0
|
| 578 |
setuptools==80.10.2
|
| 579 |
shap==0.52.0
|
| 580 |
shapely==2.1.2
|
|
|
|
| 586 |
sklearn-compat==0.1.6
|
| 587 |
sklearn-pandas==2.2.0
|
| 588 |
slicer==0.0.8
|
| 589 |
+
smart_open==8.0.2
|
| 590 |
sniffio==1.3.1
|
| 591 |
snowballstemmer==3.1.1
|
| 592 |
sortedcontainers==2.4.0
|
| 593 |
soundfile==0.14.0
|
| 594 |
+
soupsieve==2.10
|
| 595 |
soxr==1.1.0
|
| 596 |
spacy==3.8.16
|
| 597 |
spacy-legacy==3.0.12
|
| 598 |
spacy-loggers==1.0.5
|
| 599 |
spaghetti==1.7.6
|
| 600 |
+
spanner-graph-notebook==1.1.11
|
| 601 |
spglm==1.1.0
|
| 602 |
Sphinx==8.2.3
|
| 603 |
sphinxcontrib-applehelp==2.0.0
|
|
|
|
| 610 |
splot==1.1.7
|
| 611 |
spopt==0.7.0
|
| 612 |
spreg==1.9.0
|
| 613 |
+
SQLAlchemy==2.1.1
|
| 614 |
sqlglot==25.20.2
|
| 615 |
sqlparse==0.6.0
|
| 616 |
+
srsly==2.5.4
|
| 617 |
standard-aifc==3.13.0
|
| 618 |
standard-chunk==3.13.0
|
| 619 |
standard-sunau==3.13.0
|
| 620 |
stanio==0.5.1
|
| 621 |
+
starlette==1.7.0
|
| 622 |
statsmodels==0.15.0
|
| 623 |
strictyaml==1.7.3
|
| 624 |
stringzilla==5.1.2
|
|
|
|
| 630 |
tblib==3.2.2
|
| 631 |
tcmlib==1.5.0
|
| 632 |
tenacity==9.1.4
|
| 633 |
+
tensorboard==2.21.0
|
| 634 |
tensorboard-data-server==0.7.2
|
| 635 |
+
tensorflow==2.21.0
|
| 636 |
tensorflow-datasets==4.9.10
|
| 637 |
tensorflow-hub==0.16.1
|
| 638 |
tensorflow-metadata==1.21.0
|
| 639 |
tensorflow-probability==0.25.0
|
| 640 |
+
tensorflow-text==2.21.1
|
| 641 |
tensorstore==0.1.85
|
| 642 |
termcolor==3.3.0
|
| 643 |
terminado==0.18.1
|
| 644 |
text-unidecode==1.3
|
| 645 |
textblob==0.19.0
|
| 646 |
tf-slim==1.1.0
|
| 647 |
+
tf_keras==2.21.0
|
| 648 |
thinc==8.3.13
|
| 649 |
+
threadpoolctl==3.7.0
|
| 650 |
+
tifffile==2026.9.20
|
| 651 |
tiktoken==0.14.0
|
| 652 |
+
timm==1.0.30
|
| 653 |
tinycss2==1.5.1
|
| 654 |
tobler==0.14.0
|
| 655 |
+
tokenizers==0.23.2
|
| 656 |
toml==0.10.2
|
| 657 |
tomlkit==0.14.0
|
| 658 |
toolz==0.12.1
|
| 659 |
+
torch==2.11.0+cu130
|
| 660 |
torchao==0.10.0
|
| 661 |
+
torchaudio==2.11.0+cu130
|
| 662 |
+
torchcodec==0.11.0+cu130
|
| 663 |
torchdata==0.11.0
|
| 664 |
torchsummary==1.5.1
|
| 665 |
torchtune==0.6.1
|
| 666 |
+
torchvision==0.26.0+cu130
|
| 667 |
tornado==6.5.7
|
| 668 |
tqdm==4.67.3
|
| 669 |
traitlets==5.7.1
|
| 670 |
traittypes==0.2.3
|
| 671 |
+
transformers==5.18.0
|
| 672 |
+
treelite==4.7.2
|
| 673 |
treescope==0.1.10
|
| 674 |
triton==3.6.0
|
| 675 |
truststore==0.10.4
|
|
|
|
| 677 |
tweepy==4.17.0
|
| 678 |
typeguard==4.6.0
|
| 679 |
typer==0.27.2
|
| 680 |
+
types-pytz==2026.4.0.20260926
|
| 681 |
types-setuptools==84.0.0.20260812
|
| 682 |
typing-inspection==0.4.4
|
| 683 |
typing_extensions==4.16.0
|
| 684 |
+
tzdata==2026.4
|
| 685 |
tzlocal==5.4.4
|
| 686 |
+
ucxx-cu13==0.50.0
|
| 687 |
umap-learn==0.5.12
|
| 688 |
umf==1.0.3
|
| 689 |
uri-template==1.3.0
|
| 690 |
uritemplate==4.2.0
|
| 691 |
urllib3==2.5.0
|
| 692 |
+
uuid_utils==0.17.1
|
| 693 |
+
uvicorn==0.54.0
|
| 694 |
+
uvloop==0.23.0
|
| 695 |
vega-datasets==0.9.0
|
| 696 |
wadllib==1.3.6
|
| 697 |
wandb==0.28.1
|
| 698 |
wasabi==1.1.3
|
| 699 |
watchdog==6.0.0
|
| 700 |
+
watchfiles==1.3.0
|
| 701 |
+
wcwidth==0.9.1
|
| 702 |
weasel==1.0.0
|
| 703 |
webcolors==25.10.0
|
| 704 |
webencodings==0.6.1
|
| 705 |
websocket-client==1.9.2
|
| 706 |
websockets==15.0.1
|
| 707 |
+
Werkzeug==3.1.9
|
| 708 |
wheel==0.48.0
|
| 709 |
widgetsnbextension==3.6.10
|
| 710 |
wordcloud==1.9.6
|
| 711 |
+
wrapt==2.5.0
|
| 712 |
xarray==2025.12.0
|
| 713 |
xarray-einstats==0.11.0
|
| 714 |
+
xee==0.1.2
|
| 715 |
xgboost==3.4.1
|
| 716 |
xlrd==2.0.2
|
| 717 |
xxhash==4.0.1
|
| 718 |
+
xyzservices==2026.9.1
|
| 719 |
+
yarl==1.25.1
|
| 720 |
ydf==0.15.0
|
| 721 |
+
ydf_tf==2.21.0
|
| 722 |
yellowbrick==1.5
|
| 723 |
yfinance==0.2.66
|
| 724 |
zict==3.0.0
|