2025-01-08-06 Data Update

Author: mrmundt

_explore/LAST_MASTER_UPDATE.txt

@@ -1,3 +1,3 @@
-2025-01-07-03
-START	Tue Jan  7 03:08:54 UTC 2025
-END	Tue Jan  7 07:19:02 UTC 2025
+2025-01-08-03
+START	Wed Jan  8 03:06:55 UTC 2025
+END	Wed Jan  8 06:48:16 UTC 2025

explore/github-data/dependencyInfo.json

@@ -434,21 +434,6 @@
                 "login": "ChiragRupani"
             }
         },
-        "ChrisMH/Cassette.Nancy": {
-            "languages": {
-                "nodes": [
-                    {
-                        "color": "#f1e05a",
-                        "name": "JavaScript"
-                    }
-                ]
-            },
-            "name": "Cassette.Nancy",
-            "nameWithOwner": "ChrisMH/Cassette.Nancy",
-            "owner": {
-                "login": "ChrisMH"
-            }
-        },
         "ClosedXML/ClosedXML": {
             "languages": {
                 "nodes": [
@@ -1176,6 +1161,22 @@
                 "login": "HunterMcGushion"
             }
         },
+        "HypothesisWorks/hypothesis": {
+            "languages": {
+                "nodes": [
+                    {
+                        "color": "#3572A5",
+                        "name": "Python"
+                    }
+                ]
+            },
+            "name": "hypothesis",
+            "nameWithOwner": "HypothesisWorks/hypothesis",
+            "owner": {
+                "isVerified": false,
+                "login": "HypothesisWorks"
+            }
+        },
         "ICRAR/ijson": {
             "languages": {
                 "nodes": [
@@ -2008,6 +2009,22 @@
                 "login": "NREL"
             }
         },
+        "NancyFx/Nancy": {
+            "languages": {
+                "nodes": [
+                    {
+                        "color": "#178600",
+                        "name": "C#"
+                    }
+                ]
+            },
+            "name": "Nancy",
+            "nameWithOwner": "NancyFx/Nancy",
+            "owner": {
+                "isVerified": false,
+                "login": "NancyFx"
+            }
+        },
         "Nvveen/Gotty": {
             "languages": {
                 "nodes": [

explore/github-data/extRepos.json

@@ -3477,6 +3477,7 @@
                     "mvlopri",
                     "nmm0",
                     "psakievich",
+                    "rawildman",
                     "sebrowne",
                     "tjfulle",
                     "vlkale",

explore/github-data/extUsers.json

@@ -20555,10 +20555,7 @@
             "contributedLabRepositories": {
                 "nodes": [
                     "E3SM-Project/E3SM",
-                    "E3SM-Project/EKAT",
-                    "sandialabs/TChem",
-                    "sandialabs/Tines",
-                    "sandialabs/skywalker"
+                    "E3SM-Project/EKAT"
                 ]
             },
             "login": "mjs271",

explore/github-data/labRepo_Metadata.json

@@ -1441,7 +1441,8 @@
         "description": "Source code for numerical experiments in the paper \"Bayesian learning with Gaussian processes for low-dimensional representations of time-dependent nonlinear systems\" by McQuarrie, Chaudhuri, Willcox, and Guo.",
         "name": "sandialabs/GP-BayesOpInf",
         "topics": [
-            "scr-3099"
+            "scr-3099",
+            "snl-other"
         ],
         "website": "https://arxiv.org/abs/2408.03455"
     },
@@ -3074,8 +3075,15 @@
     "sandialabs/Tusqh": {
         "description": "Tusqh (pronounced \"tusk\") is software for generating cubical meshes in 2D and 3D, and computing, describing and controlling the homology (topology) of these meshes using persistent homology.",
         "name": "sandialabs/Tusqh",
-        "topics": null,
-        "website": null
+        "topics": [
+            "antialiasing",
+            "homology",
+            "mesh",
+            "topology",
+            "snl-comp-science-libs",
+            "snl-other"
+        ],
+        "website": ""
     },
     "sandialabs/TwinMe4AD": {
         "description": "SCR# 3056.0:  WGAN-based Digital Twins for Anomaly Detection",
@@ -5152,6 +5160,14 @@
         ],
         "website": ""
     },
+    "sandialabs/nomopy": {
+        "description": "Noise modeling in Python",
+        "name": "sandialabs/nomopy",
+        "topics": [
+            "scr-2632"
+        ],
+        "website": ""
+    },
     "sandialabs/omega_h": {
         "description": "Simplex mesh adaptivity for HPC",
         "name": "sandialabs/omega_h",