{"id":19584735,"url":"https://github.com/oracle-samples/pgx-samples","last_synced_at":"2025-04-07T13:07:02.056Z","repository":{"id":93185120,"uuid":"176367076","full_name":"oracle-samples/pgx-samples","owner":"oracle-samples","description":"Applications using Parallel Graph AnalytiX (PGX) from Oracle Labs","archived":false,"fork":false,"pushed_at":"2025-01-29T19:56:26.000Z","size":3839,"stargazers_count":49,"open_issues_count":7,"forks_count":28,"subscribers_count":9,"default_branch":"master","last_synced_at":"2025-03-31T11:06:37.921Z","etag":null,"topics":["graph","graph-algorithms","graph-analytics","graph-machine-learning","machine-learning"],"latest_commit_sha":null,"homepage":"https://www.oracle.com/technetwork/oracle-labs/parallel-graph-analytix/overview/index.html","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/oracle-samples.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE.txt","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":"SECURITY.md","support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2019-03-18T20:49:00.000Z","updated_at":"2025-03-26T20:51:12.000Z","dependencies_parsed_at":"2024-12-25T23:06:32.652Z","dependency_job_id":"f2151e26-6c69-4e6f-bb09-1c12e55a216d","html_url":"https://github.com/oracle-samples/pgx-samples","commit_stats":null,"previous_names":["oracle/pgx-samples"],"tags_count":4,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/oracle-samples%2Fpgx-samples","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/oracle-samples%2Fpgx-samples/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/oracle-samples%2Fpgx-samples/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/oracle-samples%2Fpgx-samples/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/oracle-samples","download_url":"https://codeload.github.com/oracle-samples/pgx-samples/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247657281,"owners_count":20974345,"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":["graph","graph-algorithms","graph-analytics","graph-machine-learning","machine-learning"],"created_at":"2024-11-11T07:49:31.017Z","updated_at":"2025-04-07T13:07:02.031Z","avatar_url":"https://github.com/oracle-samples.png","language":"Jupyter Notebook","readme":"# PGX Samples\n\nPGX (Parallel Graph AnalytiX) is a graph toolkit that provides a graph query language, optimized analytics algorithms, and machine learning support to extract insights hidden in the connections across datasets at high-performance and extreme scale.\n\nWhile graphs have become ubiquitous nowadays as the backbone of multiple applications - from search engines and recommender systems to intelligent chatbots, PGX enables fast graph analysis on such industry-scale graphs (with trillions of edges) to reveal latent information between linked entities.\n\n## Table of contents:\n\n- [Built-in Algorithms](./built-in-algorithms/README.md)\n\n## Contributing\n\nThis project welcomes contributions from the community. Before submitting a pull request, please [review our contribution guide](./CONTRIBUTING.md)\n\n## Security\n\nPlease consult the [security guide](./SECURITY.md) for our responsible security vulnerability disclosure process\n\n## License\n\nCopyright (c) 2019, 2024 Oracle and/or its affiliates.\n\nReleased under the Universal Permissive License v1.0 as shown at\n\u003chttps://oss.oracle.com/licenses/upl/\u003e.\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Foracle-samples%2Fpgx-samples","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Foracle-samples%2Fpgx-samples","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Foracle-samples%2Fpgx-samples/lists"}