{"id":20207587,"url":"https://github.com/pietrocinaglia/gin","last_synced_at":"2026-01-23T07:34:43.769Z","repository":{"id":198164753,"uuid":"693178798","full_name":"pietrocinaglia/gin","owner":"pietrocinaglia","description":"Generator of synthetic Interconnected Networks (GIN)","archived":false,"fork":false,"pushed_at":"2024-05-10T09:09:27.000Z","size":1299,"stargazers_count":2,"open_issues_count":0,"forks_count":1,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-04-10T12:56:44.890Z","etag":null,"topics":["bioinformatics","dataset","interconnected-graph","multilayer-networks","network-analysis","networks"],"latest_commit_sha":null,"homepage":"https://pietrocinaglia.github.io/gin/","language":"CSS","has_issues":false,"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/pietrocinaglia.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":"2023-09-18T14:01:43.000Z","updated_at":"2024-05-10T09:09:30.000Z","dependencies_parsed_at":null,"dependency_job_id":"0baaeb68-f04d-451e-a3bb-623e1a0ebf10","html_url":"https://github.com/pietrocinaglia/gin","commit_stats":{"total_commits":42,"total_committers":2,"mean_commits":21.0,"dds":"0.023809523809523836","last_synced_commit":"693e0683c9a9c4441146c42720ee69e563d6c5fe"},"previous_names":["pietrocinaglia/gin"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/pietrocinaglia/gin","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pietrocinaglia%2Fgin","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pietrocinaglia%2Fgin/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pietrocinaglia%2Fgin/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pietrocinaglia%2Fgin/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/pietrocinaglia","download_url":"https://codeload.github.com/pietrocinaglia/gin/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pietrocinaglia%2Fgin/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28683459,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-23T05:48:07.525Z","status":"ssl_error","status_checked_at":"2026-01-23T05:48:07.129Z","response_time":59,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":["bioinformatics","dataset","interconnected-graph","multilayer-networks","network-analysis","networks"],"created_at":"2024-11-14T05:30:11.499Z","updated_at":"2026-01-23T07:34:43.751Z","avatar_url":"https://github.com/pietrocinaglia.png","language":"CSS","funding_links":[],"categories":[],"sub_categories":[],"readme":"## GIN: a web-based tool for generating synthetic interconnected network datasets for bioinformatics.\n\n'Generator of synthetic Interconnected Networks' (GIN) is a user-friendly and effective tool which allows generating synthetic dataset, particularly suitable for bioinformatics applications that need evaluating the performance of their methodology based on comparison and successive computations. Briefly, it is able to generate synthetic interconnected networks, by also providing noising counterparts, useful, e.g., in network alignment tasks.\n\n\n### Testing\n\nGIN has been tested by using Green Unicorn (gunicorn), as Python WSGI HTTP Server for UNIX. Note that 'index.html' is a redirect to the ready-to-use web-application.\n\n\n### Requirements\n\n#### Front-end\njQuery, Bootstrap, and template are already imported, as well. You don't need to do anything.\n\n#### Back-end\nGIN needs Python3 \u003e= 3.9, and the dependencies listed in 'src/requirements.txt'.\n\nDependencies can be installed via [Python Package Installer (pip)](https://pip.pypa.io/en/stable/) as follows:\n\n```\npip install -r requirements.txt\n```\n\n- Flask\n- networkx\n- gunicorn\n\n\n### License\n\nMIT License - Copyright (c) 2023 Pietro Cinaglia\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpietrocinaglia%2Fgin","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpietrocinaglia%2Fgin","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpietrocinaglia%2Fgin/lists"}