{"id":19913624,"url":"https://github.com/255bits/personas","last_synced_at":"2026-02-21T20:05:00.226Z","repository":{"id":226810025,"uuid":"762425706","full_name":"255BITS/personas","owner":"255BITS","description":"Create Private AI characters","archived":false,"fork":false,"pushed_at":"2024-05-30T21:35:26.000Z","size":68,"stargazers_count":2,"open_issues_count":0,"forks_count":1,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-10-24T03:39:35.243Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"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/255BITS.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":"2024-02-23T18:53:20.000Z","updated_at":"2024-08-05T21:00:51.000Z","dependencies_parsed_at":"2024-05-31T00:01:01.412Z","dependency_job_id":"6e5b63d9-2f09-4303-80b7-bd1d2a2cefbd","html_url":"https://github.com/255BITS/personas","commit_stats":null,"previous_names":["255bits/personas"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/255BITS/personas","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/255BITS%2Fpersonas","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/255BITS%2Fpersonas/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/255BITS%2Fpersonas/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/255BITS%2Fpersonas/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/255BITS","download_url":"https://codeload.github.com/255BITS/personas/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/255BITS%2Fpersonas/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29691948,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-21T18:18:25.093Z","status":"ssl_error","status_checked_at":"2026-02-21T18:18:22.435Z","response_time":107,"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":[],"created_at":"2024-11-12T21:33:34.179Z","updated_at":"2026-02-21T20:05:00.209Z","avatar_url":"https://github.com/255BITS.png","language":"Python","readme":"# Personas\n\nPersonas is an entry into the Backdrop Build v3 program.\n\nIn this entry we also introduce `MLQ Pipelines`\n\n# MLQ Pipelines\n\nMLQ Pipelines is a Python library that provides a flexible and intuitive way to build and execute machine learning inference pipelines(DAGs). It allows you to define tasks, compose them into pipelines, and execute them efficiently using asynchronous programming.\n\n## Features\n\n- Define tasks as simple Python functions or coroutines\n- Compose tasks into pipelines using intuitive operators (`\u003e\u003e` for sequential composition, `|` for parallel composition)\n- Execute pipelines asynchronously using `asyncio`\n- Built-in support for setting and retrieving task outputs\n- Validation of pipeline structure to ensure proper usage of `set_output` and `get_output`\n- Extensible architecture to accommodate custom task types and behaviors\n\n## Installation\n\nYou can install MLQ Pipelines using pip:\n\n```\npip install mlq-pipelines #TODO\n```\n\n## Usage\n\nHere's a simple example of how to use ML Inference Pipeline:\n\n```python\nfrom mlq_pipelines import task, Pipeline\n\n@task\nasync def task1(x):\n    return x * 2\n\n@task\nasync def task2(x):\n    return x + 1\n\n@task\nasync def task3(x, y):\n    return x + y\n\npipeline = Pipeline(\n    (task1 | task2) \u003e\u003e task3\n)\n\nresult = await pipeline(5)\nprint(result)  # Output: 21\n```\n\n## Documentation\n\nFor detailed documentation and more examples, please refer to the [ML Inference Pipeline Documentation](link-to-documentation).\n\n## Contributing\n\nContributions are welcome! If you find any issues or have suggestions for improvements, please open an issue or submit a pull request on the [GitHub repository](link-to-repository).\n\n## License\n\nML Inference Pipeline is released under the [MIT License](link-to-license).\n\n## Acknowledgements\n\nWe would like to thank the open-source community for their valuable contributions and inspiration.\n\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2F255bits%2Fpersonas","html_url":"https://awesome.ecosyste.ms/projects/github.com%2F255bits%2Fpersonas","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2F255bits%2Fpersonas/lists"}