{"id":18598213,"url":"https://github.com/cmdoret/rdf-network-viz","last_synced_at":"2025-05-16T14:11:10.291Z","repository":{"id":100715352,"uuid":"591783920","full_name":"cmdoret/rdf-network-viz","owner":"cmdoret","description":"Prefect workflow to visualize networks from RDF data","archived":false,"fork":false,"pushed_at":"2023-01-31T14:00:34.000Z","size":1558,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-02-17T23:47:35.384Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/cmdoret.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2023-01-21T21:15:23.000Z","updated_at":"2023-02-23T12:51:12.000Z","dependencies_parsed_at":null,"dependency_job_id":"4244880a-de11-44b1-840f-50c1d04df463","html_url":"https://github.com/cmdoret/rdf-network-viz","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cmdoret%2Frdf-network-viz","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cmdoret%2Frdf-network-viz/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cmdoret%2Frdf-network-viz/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cmdoret%2Frdf-network-viz/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/cmdoret","download_url":"https://codeload.github.com/cmdoret/rdf-network-viz/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":254544159,"owners_count":22088808,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-11-07T01:31:38.763Z","updated_at":"2025-05-16T14:11:10.270Z","avatar_url":"https://github.com/cmdoret.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"\n# RDF networks visualization\n\nAn experiment with interactive network visualizations of RDF graphs.\n\nBased on this template: https://github.com/khuyentran1401/data-science-template/tree/prefect-poetry\n\n\n## Workflow\n\nThe repository contains a Prefect workflow which runs [gimie](https://github.com/SDSC-ORD/gimie) on multiple git repositories (listed in `data/raw/sources.yml`). The extracted metadata from all repositories are then combined into a single RDF graph. This graph is converted to a networkx graph and visualized in a notebook (`notebooks/test_holoviews.ipynb`) using [holoviews](https://holoviews.org/) and [bokeh](https://bokeh.org/).\n\n## Quick Start\n### Set up the environment\n1. Install [Poetry](https://python-poetry.org/docs/#installation)\n2. Set up the environment:\n```bash\nmake setup\nmake activate\n```\n### Install new packages\nTo install new PyPI packages, run:\n```bash\npoetry add \u003cpackage-name\u003e\n```\n\n### Run Python scripts\nTo run the Python scripts to process data, train model, and run a notebook, type the following:\n```bash\nmake pipeline\n```\n### View all flow runs\nA [flow](https://docs.prefect.io/concepts/flows/) is the basis of all Prefect workflows.\n\nTo view your flow runs from a UI, sign in to your [Prefect Cloud](https://app.prefect.cloud/) account or spin up a Prefect Orion server on your local machine:\n```bash\nprefect orion start\n```\nOpen the URL http://127.0.0.1:4200/, and you should see the Prefect UI:\n\n![](images/prefect_cloud.png)\n\n### Run flows from the UI\n\nAfter [creating a deployment](https://towardsdatascience.com/build-a-full-stack-ml-application-with-pydantic-and-prefect-915f00fe0c62?sk=b1f8c5cb53a6a9d7f48d66fa778e9cf0), you can run a flow from the UI with default parameters:\n\n![](https://miro.medium.com/max/1400/1*KPRQS3aeuYhL_Anv3-r9Ag.gif)\nor custom parameters:\n![](https://miro.medium.com/max/1400/1*jGKmPR3aoXeIs3SEaHPhBg.gif)\n\n### Auto-generate API documentation\n\nTo auto-generate API document for your project, run:\n\n```bash\nmake docs_save\n```","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcmdoret%2Frdf-network-viz","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcmdoret%2Frdf-network-viz","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcmdoret%2Frdf-network-viz/lists"}