{"id":24557959,"url":"https://github.com/singjc/streamsage","last_synced_at":"2026-05-20T03:32:12.902Z","repository":{"id":254156795,"uuid":"845657915","full_name":"singjc/StreamSage","owner":"singjc","description":"StreamSage is a web application for performing proteomics database searching use Sage.","archived":false,"fork":false,"pushed_at":"2025-01-13T18:42:51.000Z","size":35494,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-23T05:34:23.160Z","etag":null,"topics":["mass-spectrometry","proteomics","streamlit"],"latest_commit_sha":null,"homepage":"https://abi-services.cs.uni-tuebingen.de/streamsage/","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/singjc.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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":"2024-08-21T17:12:01.000Z","updated_at":"2025-01-13T18:42:55.000Z","dependencies_parsed_at":"2024-08-21T19:33:50.903Z","dependency_job_id":"93687fb5-9e41-4f93-a8e4-37cf511a73c4","html_url":"https://github.com/singjc/StreamSage","commit_stats":null,"previous_names":["singjc/stream_sage"],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/singjc%2FStreamSage","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/singjc%2FStreamSage/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/singjc%2FStreamSage/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/singjc%2FStreamSage/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/singjc","download_url":"https://codeload.github.com/singjc/StreamSage/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243912600,"owners_count":20367886,"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":["mass-spectrometry","proteomics","streamlit"],"created_at":"2025-01-23T05:31:25.557Z","updated_at":"2026-05-20T03:32:12.871Z","avatar_url":"https://github.com/singjc.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003cp align=\"center\"\u003e\n  \u003cpicture\u003e\n    \u003csource media=\"(prefers-color-scheme: dark)\" srcset=\"https://github.com/singjc/StreamSage/raw/main/assets/StreamSage.png\" alt=\"StreamSage_Logo\" width=\"500\"\u003e\n    \u003csource media=\"(prefers-color-scheme: light)\" srcset=\"https://github.com/singjc/StreamSage/raw/main/assets/StreamSage.png\" alt=\"StreamSage_Logo\" width=\"500\"\u003e\n    \u003cimg alt=\"StreamSage_Logo\" comment=\"Placeholder to transition between light color mode and dark color mode - this image is not directly used.\" src=\"https://github.com/singjc/StreamSage/raw/main/assets/StreamSage.png\"\u003e\n  \u003c/picture\u003e\n\u003c/p\u003e\n\n---\n\n[![Website](https://img.shields.io/website?url=https%3A%2F%2Fabi-services.cs.uni-tuebingen.de%2Fstreamsage%2F)](https://abi-services.cs.uni-tuebingen.de/streamsage/)\n\n\n[StreamSage](https://abi-services.cs.uni-tuebingen.de/streamsage/) is a web application for performing proteomics database searching using Sage. For more information about Sage, please refer to the github repository [here](https://github.com/lazear/sage).\nThis app is based on [OpenMS streamlit template project](https://github.com/OpenMS/streamlit-template).\n\n## Installation\n\nIf you wish to run StreamSage locally, you can clone the repository and install the dependencies using the following commands:\n\n```bash\ngit clone https://github.com/singjc/StreamSage.git\ncd StreamSage\npip install -r requirements.txt\n```\n\n## Usage\n\nAssuming you are in the StreamSage directory\n\n```bash\nstreamlit run app.py\n```\n\nTo run the app locally, add the local flag to the command:\n\n**Note**: Running the app locally allows direct access to the users file system. This means you directly use files from your local machine. \n\n```bash\nstreamlit run app.py local\n```\n## Docker\n\nTo run the app using Docker, you can pull the available image from Docker Hub:\n\n```bash\ndocker pull singjust/streamsage:latest\n```\n\nThen run the image:\n\n```bash\ndocker run --rm singjust/streamsage:latest\n```\n\n## References\n\n- [Sage: An Open-Source Tool for Fast Proteomics Searching and Quantification at Scale](https://doi.org/10.1021/acs.jproteome.3c00486)\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsingjc%2Fstreamsage","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsingjc%2Fstreamsage","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsingjc%2Fstreamsage/lists"}