{"id":34056786,"url":"https://github.com/lynxkite/lynxkite-2000","last_synced_at":"2026-03-27T04:31:12.636Z","repository":{"id":295246799,"uuid":"989045923","full_name":"lynxkite/lynxkite-2000","owner":"lynxkite","description":"GPU-accelerated graph analytics and data science with a friendly face","archived":false,"fork":false,"pushed_at":"2026-03-25T17:43:16.000Z","size":19597,"stargazers_count":4,"open_issues_count":25,"forks_count":1,"subscribers_count":2,"default_branch":"main","last_synced_at":"2026-03-26T18:48:36.010Z","etag":null,"topics":["data-pipelines","data-science","graph"],"latest_commit_sha":null,"homepage":"https://lynxkite.github.io/lynxkite-2000/","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"agpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/lynxkite.png","metadata":{"files":{"readme":"README.md","changelog":"CHANGELOG.md","contributing":"docs/contributing.md","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,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2025-05-23T13:24:31.000Z","updated_at":"2026-03-25T16:32:02.000Z","dependencies_parsed_at":"2025-05-24T13:27:49.973Z","dependency_job_id":"148884af-5435-4c8b-8b39-96cbbe9a1698","html_url":"https://github.com/lynxkite/lynxkite-2000","commit_stats":null,"previous_names":["lynxkite/lynxkite-2000"],"tags_count":4,"template":false,"template_full_name":null,"purl":"pkg:github/lynxkite/lynxkite-2000","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lynxkite%2Flynxkite-2000","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lynxkite%2Flynxkite-2000/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lynxkite%2Flynxkite-2000/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lynxkite%2Flynxkite-2000/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/lynxkite","download_url":"https://codeload.github.com/lynxkite/lynxkite-2000/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lynxkite%2Flynxkite-2000/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31019340,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-03-27T03:51:26.850Z","status":"ssl_error","status_checked_at":"2026-03-27T03:51:09.693Z","response_time":164,"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":["data-pipelines","data-science","graph"],"created_at":"2025-12-14T03:03:57.312Z","updated_at":"2026-03-27T04:31:12.615Z","avatar_url":"https://github.com/lynxkite.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# LynxKite 2000:MM\n\nLynxKite 2000:MM is a GPU-accelerated data science platform and a general tool for collaboratively edited workflows.\n\nFeatures include:\n\n- A web UI for building and executing data science workflows.\n- An extensive toolbox of graph analytics operations powered by NVIDIA RAPIDS (CUDA).\n- An integrated collaborative code editor makes it easy to add new operations.\n- An environment for visually designing neural network model architectures.\n- The infrastructure for easily creating other workflow design environments. See `lynxkite-pillow-example` for a simple example.\n\nThis is the next evolution of the classical [LynxKite](https://github.com/lynxkite/lynxkite).\nThe two tools offer similar functionality, but are not compatible.\nThis version runs on GPU clusters instead of Hadoop clusters.\nIt targets CUDA instead of Apache Spark. It is much more extensible.\n\n## Installation\n\n```bash\npip install lynxkite\n```\n\n## Getting started\n\n- [Online demo](https://lynx-analytics-lynxkite.hf.space/)\n- [Quickstart](https://lynxkite.github.io/lynxkite-2000/guides/quickstart/)\n- [Contributing](https://lynxkite.github.io/lynxkite-2000/contributing/)\n\n## License\n\nLynxKite 2000:MM is licensed under the GNU AGPLv3. See the [LICENSE](LICENSE) file for details.\n\n[Lynx Analytics](https://www.lynxanalytics.com/) offers a commercial license of LynxKite 2000:MM\nthat includes additional features and support. Get in touch if you are interested in life sciences tools\nand cluster deployment!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flynxkite%2Flynxkite-2000","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flynxkite%2Flynxkite-2000","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flynxkite%2Flynxkite-2000/lists"}