{"id":19141400,"url":"https://github.com/axent-pl/ax-ml-ops","last_synced_at":"2026-04-09T16:01:15.465Z","repository":{"id":189143262,"uuid":"588465138","full_name":"axent-pl/ax-ml-ops","owner":"axent-pl","description":"axent.pl MLOps application stack for running your ML experiments locally","archived":false,"fork":false,"pushed_at":"2023-04-04T13:07:30.000Z","size":2286,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-03T15:14:40.285Z","etag":null,"topics":["airflow","docker","docker-compose","jupyter-notebook","kaggle","mlflow","mlops","optuna","python","rabbitmq"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/axent-pl.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}},"created_at":"2023-01-13T07:24:39.000Z","updated_at":"2023-02-27T09:46:54.000Z","dependencies_parsed_at":"2023-08-18T13:27:44.856Z","dependency_job_id":"29e9ff6d-8244-49d9-b723-42c9d98a5bd4","html_url":"https://github.com/axent-pl/ax-ml-ops","commit_stats":null,"previous_names":["prondos/ax-ml-ops","axent-pl/ax-ml-ops"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/axent-pl%2Fax-ml-ops","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/axent-pl%2Fax-ml-ops/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/axent-pl%2Fax-ml-ops/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/axent-pl%2Fax-ml-ops/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/axent-pl","download_url":"https://codeload.github.com/axent-pl/ax-ml-ops/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240222500,"owners_count":19767458,"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":["airflow","docker","docker-compose","jupyter-notebook","kaggle","mlflow","mlops","optuna","python","rabbitmq"],"created_at":"2024-11-09T07:23:12.317Z","updated_at":"2026-04-09T16:01:15.362Z","avatar_url":"https://github.com/axent-pl.png","language":"Python","readme":"# MLOps application stack\n\nThis project shows how you may integrate some of the popular tools to perform Data Science experiments.\n\n\n## Components\n\n* **S3 (Minio)** exposed at http://localhost:9000\n\n* **Airflow** exposed at http://localhost:8000\n\n* **Jupyter notebook** exposed at http://localhost:8800\n\n* **MLFlow** exposed at http://localhost:5000\n\n* **Optuna dashboard** exposed at http://localhost:8080\n\n* **PostgreSQL**\n\n* **RabbitMQ**\n\n\n## Usage scenario\n\n1. Start **ax-ml-ops** application stack with\n    ```shell\n    ./stack-up.sh\n    ```\n\n2. Enable following pipelines in **Airflow**\n\n    * kaggle-spaceship-titanic-data\n\n    * kaggle-spaceship-titanic-model\n\n\n3. Execute *kaggle-spaceship-titanic-data* pipeline with **Airflow**\n\n4. Monitor key metrics with **MLFlow**\n\n5. Monitor model hyperparameter tuning with **Optuna dashboard**\n\n6. Stop **ax-ml-ops** application stack and remove all its assets (without images) with\n    ```shell\n    ./stack-down.sh\n    ```\n\n\n\n\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faxent-pl%2Fax-ml-ops","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Faxent-pl%2Fax-ml-ops","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faxent-pl%2Fax-ml-ops/lists"}