Update from update/software-2026-09-13

database/github/AndrewIOM/bristlecone/metadata.json

@@ -0,0 +1,43 @@
+{
+    "parser": "github",
+    "uid": "github/AndrewIOM/bristlecone",
+    "url": "https://github.com/AndrewIOM/bristlecone",
+    "data": {
+        "doi": "https://doi.org/10.5281/zenodo.22132894",
+        "name": "bristlecone",
+        "url": "https://github.com/AndrewIOM/bristlecone",
+        "full_name": "AndrewIOM/bristlecone",
+        "html_url": "https://github.com/AndrewIOM/bristlecone",
+        "description": "An F# library for mechanistic modelling of ecological time series data",
+        "created_at": "2018-03-20T09:22:54Z",
+        "updated_at": "2026-09-04T10:44:26Z",
+        "clone_url": "https://github.com/AndrewIOM/bristlecone.git",
+        "homepage": "https://andrewiom.github.io/bristlecone",
+        "size": 17487,
+        "stargazers_count": 12,
+        "watchers_count": 12,
+        "language": "F#",
+        "open_issues_count": 20,
+        "license": {
+            "key": "other",
+            "name": "Other",
+            "spdx_id": "NOASSERTION",
+            "url": null,
+            "node_id": "MDc6TGljZW5zZTA="
+        },
+        "subscribers_count": 2,
+        "owner": {
+            "html_url": "https://github.com/AndrewIOM",
+            "avatar_url": "https://avatars.githubusercontent.com/u/6905338?v=4",
+            "login": "AndrewIOM",
+            "type": "User"
+        },
+        "topics": [
+            "mechanistic-models",
+            "dendroecology",
+            "time-series"
+        ],
+        "timestamp": "2026-09-13 01:50:08.451050",
+        "avatar": "https://avatars.githubusercontent.com/u/6905338?v=4"
+    }
+}

database/github/JianhanZhang/CFRL/metadata.json

@@ -0,0 +1,34 @@
+{
+    "parser": "github",
+    "uid": "github/JianhanZhang/CFRL",
+    "url": "https://github.com/JianhanZhang/PyCFRL",
+    "data": {
+        "doi": "https://doi.org/10.5281/zenodo.21914208",
+        "name": "PyCFRL",
+        "url": "https://github.com/JianhanZhang/PyCFRL",
+        "full_name": "JianhanZhang/PyCFRL",
+        "html_url": "https://github.com/JianhanZhang/PyCFRL",
+        "created_at": "2025-06-07T15:23:28Z",
+        "updated_at": "2026-08-29T15:57:12Z",
+        "clone_url": "https://github.com/JianhanZhang/PyCFRL.git",
+        "size": 20516,
+        "stargazers_count": 5,
+        "watchers_count": 5,
+        "language": "Python",
+        "license": {
+            "key": "mit",
+            "name": "MIT License",
+            "spdx_id": "MIT",
+            "url": "https://api.github.com/licenses/mit",
+            "node_id": "MDc6TGljZW5zZTEz"
+        },
+        "owner": {
+            "html_url": "https://github.com/JianhanZhang",
+            "avatar_url": "https://avatars.githubusercontent.com/u/110584324?v=4",
+            "login": "JianhanZhang",
+            "type": "User"
+        },
+        "timestamp": "2026-09-13 01:50:12.419461",
+        "avatar": "https://avatars.githubusercontent.com/u/110584324?v=4"
+    }
+}

database/github/Macatools/macapype/metadata.json

@@ -0,0 +1,52 @@
+{
+    "parser": "github",
+    "uid": "github/Macatools/macapype",
+    "url": "https://github.com/Macatools/macapype",
+    "data": {
+        "doi": "https://doi.org/10.5281/zenodo.21996103",
+        "name": "macapype",
+        "url": "https://github.com/Macatools/macapype",
+        "full_name": "Macatools/macapype",
+        "html_url": "https://github.com/Macatools/macapype",
+        "description": "PNH segmentation pipelines based on nipype",
+        "created_at": "2019-11-14T12:40:34Z",
+        "updated_at": "2026-08-31T10:05:34Z",
+        "clone_url": "https://github.com/Macatools/macapype.git",
+        "homepage": "https://macatools.github.io/macapype/",
+        "size": 77565,
+        "stargazers_count": 24,
+        "watchers_count": 24,
+        "language": "Python",
+        "open_issues_count": 8,
+        "license": {
+            "key": "mit",
+            "name": "MIT License",
+            "spdx_id": "MIT",
+            "url": "https://api.github.com/licenses/mit",
+            "node_id": "MDc6TGljZW5zZTEz"
+        },
+        "owner": {
+            "html_url": "https://github.com/Macatools",
+            "avatar_url": "https://avatars.githubusercontent.com/u/57757369?v=4",
+            "login": "Macatools",
+            "type": "Organization"
+        },
+        "topics": [
+            "python",
+            "nipype",
+            "mri-segmentation",
+            "primate",
+            "afni",
+            "ants",
+            "spm12",
+            "fsl",
+            "mri",
+            "mri-analysis",
+            "brain-extraction",
+            "brain-segmentation",
+            "mesh"
+        ],
+        "timestamp": "2026-09-13 01:50:11.360893",
+        "avatar": "https://avatars.githubusercontent.com/u/57757369?v=4"
+    }
+}

database/github/Nischalcs50/nsEVDx/metadata.json

@@ -0,0 +1,45 @@
+{
+    "parser": "github",
+    "uid": "github/Nischalcs50/nsEVDx",
+    "url": "https://github.com/Nischalcs50/nsEVDx",
+    "data": {
+        "doi": "https://doi.org/10.5281/zenodo.22307685",
+        "name": "nsEVDx",
+        "url": "https://github.com/Nischalcs50/nsEVDx",
+        "full_name": "Nischalcs50/nsEVDx",
+        "html_url": "https://github.com/Nischalcs50/nsEVDx",
+        "description": "Modeling Nonstationary Extreme Value Distributions",
+        "created_at": "2025-07-09T00:53:03Z",
+        "updated_at": "2026-09-05T21:50:46Z",
+        "clone_url": "https://github.com/Nischalcs50/nsEVDx.git",
+        "size": 27722,
+        "stargazers_count": 14,
+        "watchers_count": 14,
+        "language": "Python",
+        "license": {
+            "key": "mit",
+            "name": "MIT License",
+            "spdx_id": "MIT",
+            "url": "https://api.github.com/licenses/mit",
+            "node_id": "MDc6TGljZW5zZTEz"
+        },
+        "owner": {
+            "html_url": "https://github.com/Nischalcs50",
+            "avatar_url": "https://avatars.githubusercontent.com/u/70331795?v=4",
+            "login": "Nischalcs50",
+            "type": "User"
+        },
+        "topics": [
+            "bayesian-inference",
+            "climate",
+            "extremes",
+            "finance-extremes",
+            "hydrology",
+            "partial-duration",
+            "peaks-over-threshold",
+            "annual-maxima-series"
+        ],
+        "timestamp": "2026-09-13 01:50:07.990212",
+        "avatar": "https://avatars.githubusercontent.com/u/70331795?v=4"
+    }
+}

database/github/PCMDI/ESMBenchmarkViz/metadata.json

@@ -0,0 +1,44 @@
+{
+    "parser": "github",
+    "uid": "github/PCMDI/ESMBenchmarkViz",
+    "url": "https://github.com/PCMDI/ESMBenchmarkViz",
+    "data": {
+        "doi": "https://doi.org/10.5281/zenodo.22217659",
+        "name": "ESMBenchmarkViz",
+        "url": "https://github.com/PCMDI/ESMBenchmarkViz",
+        "full_name": "PCMDI/ESMBenchmarkViz",
+        "html_url": "https://github.com/PCMDI/ESMBenchmarkViz",
+        "description": "A Python package for interactive visualizations for Earth System Model evaluation and benchmarking",
+        "created_at": "2024-11-08T05:54:09Z",
+        "updated_at": "2026-09-10T17:09:16Z",
+        "clone_url": "https://github.com/PCMDI/ESMBenchmarkViz.git",
+        "homepage": "https://pcmdi.github.io/ESMBenchmarkViz/",
+        "size": 35554,
+        "stargazers_count": 2,
+        "watchers_count": 2,
+        "language": "Python",
+        "open_issues_count": 5,
+        "license": {
+            "key": "bsd-3-clause",
+            "name": "BSD 3-Clause \"New\" or \"Revised\" License",
+            "spdx_id": "BSD-3-Clause",
+            "url": "https://api.github.com/licenses/bsd-3-clause",
+            "node_id": "MDc6TGljZW5zZTU="
+        },
+        "subscribers_count": 1,
+        "owner": {
+            "html_url": "https://github.com/PCMDI",
+            "avatar_url": "https://avatars.githubusercontent.com/u/6098305?v=4",
+            "login": "PCMDI",
+            "type": "Organization"
+        },
+        "topics": [
+            "climate-model",
+            "climate-model-evaluation",
+            "pyton",
+            "climate-model-benchmarking"
+        ],
+        "timestamp": "2026-09-13 01:50:06.566476",
+        "avatar": "https://avatars.githubusercontent.com/u/6098305?v=4"
+    }
+}

database/github/aloth/RogueGPT/metadata.json

@@ -0,0 +1,59 @@
+{
+    "parser": "github",
+    "uid": "github/aloth/RogueGPT",
+    "url": "https://github.com/aloth/RogueGPT",
+    "data": {
+        "doi": "https://doi.org/10.5281/zenodo.22666134",
+        "name": "RogueGPT",
+        "url": "https://github.com/aloth/RogueGPT",
+        "full_name": "aloth/RogueGPT",
+        "html_url": "https://github.com/aloth/RogueGPT",
+        "description": "Modular multi-model generator of controllable AI news stimuli for misinformation research - agent-based simulation seeding, red-teaming & human-perception studies. GPT-4/LLaMA/Mistral/DeepSeek, multilingual, full provenance. Stimuli are evaluated by human raters in JudgeGPT.",
+        "created_at": "2024-03-21T21:06:40Z",
+        "updated_at": "2026-09-12T18:08:37Z",
+        "clone_url": "https://github.com/aloth/RogueGPT.git",
+        "homepage": "https://aloth.github.io/RogueGPT/",
+        "size": 11901,
+        "stargazers_count": 8,
+        "watchers_count": 8,
+        "language": "Python",
+        "license": {
+            "key": "gpl-3.0",
+            "name": "GNU General Public License v3.0",
+            "spdx_id": "GPL-3.0",
+            "url": "https://api.github.com/licenses/gpl-3.0",
+            "node_id": "MDc6TGljZW5zZTk="
+        },
+        "subscribers_count": 1,
+        "owner": {
+            "html_url": "https://github.com/aloth",
+            "avatar_url": "https://avatars.githubusercontent.com/u/12732979?v=4",
+            "login": "aloth",
+            "type": "User"
+        },
+        "topics": [
+            "fake-news",
+            "generative-ai",
+            "mongodb",
+            "openai",
+            "streamlit",
+            "ai-content-generation",
+            "ethical-ai",
+            "fake-news-generator",
+            "llms",
+            "controlled-experiment",
+            "news-generation",
+            "research-methodology",
+            "stimulus-generation",
+            "synthetic-data",
+            "agent-based-simulation",
+            "ai-safety",
+            "llm-agents",
+            "mcp",
+            "red-teaming",
+            "synthetic-text"
+        ],
+        "timestamp": "2026-09-13 01:50:05.026333",
+        "avatar": "https://avatars.githubusercontent.com/u/12732979?v=4"
+    }
+}

database/github/amslala/regtools/metadata.json

@@ -0,0 +1,37 @@
+{
+    "parser": "github",
+    "uid": "github/amslala/regtools",
+    "url": "https://github.com/amslala/regkit",
+    "data": {
+        "doi": "https://doi.org/10.5281/zenodo.21935587",
+        "name": "regkit",
+        "url": "https://github.com/amslala/regkit",
+        "full_name": "amslala/regkit",
+        "html_url": "https://github.com/amslala/regkit",
+        "description": "R package to facilitate the manipulation, analysis and visualization of data from Norwegian health and population registers.",
+        "created_at": "2024-08-16T11:00:14Z",
+        "updated_at": "2026-09-03T13:04:15Z",
+        "clone_url": "https://github.com/amslala/regkit.git",
+        "homepage": "https://amslala.github.io/regkit/",
+        "size": 22414,
+        "stargazers_count": 3,
+        "watchers_count": 3,
+        "language": "R",
+        "license": {
+            "key": "other",
+            "name": "Other",
+            "spdx_id": "NOASSERTION",
+            "url": null,
+            "node_id": "MDc6TGljZW5zZTA="
+        },
+        "subscribers_count": 2,
+        "owner": {
+            "html_url": "https://github.com/amslala",
+            "avatar_url": "https://avatars.githubusercontent.com/u/54658660?v=4",
+            "login": "amslala",
+            "type": "User"
+        },
+        "timestamp": "2026-09-13 01:50:09.558392",
+        "avatar": "https://avatars.githubusercontent.com/u/54658660?v=4"
+    }
+}

database/github/brycewang-stanford/StatsPAI/metadata.json

@@ -0,0 +1,58 @@
+{
+    "parser": "github",
+    "uid": "github/brycewang-stanford/StatsPAI",
+    "url": "https://github.com/brycewang-stanford/StatsPAI",
+    "data": {
+        "doi": "https://doi.org/10.5281/zenodo.22085759",
+        "name": "StatsPAI",
+        "url": "https://github.com/brycewang-stanford/StatsPAI",
+        "full_name": "brycewang-stanford/StatsPAI",
+        "html_url": "https://github.com/brycewang-stanford/StatsPAI",
+        "description": "StatsPAI is the first Agent-native Python library for causal inference and applied econometrics \u2014 unified API, broad cross-method coverage, structured result objects, machine-readable schemas, Skills, an MCP server, and R/Stata parity validation.",
+        "created_at": "2025-07-26T09:53:30Z",
+        "updated_at": "2026-09-13T00:20:55Z",
+        "clone_url": "https://github.com/brycewang-stanford/StatsPAI.git",
+        "size": 46176,
+        "stargazers_count": 318,
+        "watchers_count": 318,
+        "language": "Python",
+        "license": {
+            "key": "mit",
+            "name": "MIT License",
+            "spdx_id": "MIT",
+            "url": "https://api.github.com/licenses/mit",
+            "node_id": "MDc6TGljZW5zZTEz"
+        },
+        "subscribers_count": 1,
+        "owner": {
+            "html_url": "https://github.com/brycewang-stanford",
+            "avatar_url": "https://avatars.githubusercontent.com/u/199214463?v=4",
+            "login": "brycewang-stanford",
+            "type": "User"
+        },
+        "topics": [
+            "agent-native",
+            "ai-agents",
+            "causal-discovery",
+            "causal-inference",
+            "data-science",
+            "difference-in-differences",
+            "double-machine-learning",
+            "econometrics",
+            "instrumental-variables",
+            "llm",
+            "mcp",
+            "panel-data",
+            "policy-evaluation",
+            "python",
+            "regression-discontinuity",
+            "rstats",
+            "stata",
+            "statistics",
+            "synthetic-control",
+            "treatment-effects"
+        ],
+        "timestamp": "2026-09-13 01:50:09.992269",
+        "avatar": "https://avatars.githubusercontent.com/u/199214463?v=4"
+    }
+}