{"id":50969320,"url":"https://github.com/databricks-solutions/model-landscape","last_synced_at":"2026-06-19T00:30:37.828Z","repository":{"id":362976630,"uuid":"1250487512","full_name":"databricks-solutions/model-landscape","owner":"databricks-solutions","description":"Databricks-native model observability for teams that want production ML monitoring without moving inference data out of their workspace.","archived":false,"fork":false,"pushed_at":"2026-06-06T21:05:06.000Z","size":1465,"stargazers_count":0,"open_issues_count":1,"forks_count":0,"subscribers_count":0,"default_branch":"dev","last_synced_at":"2026-06-06T21:14:01.059Z","etag":null,"topics":["mlflow","observability"],"latest_commit_sha":null,"homepage":"https://databricks-solutions.github.io/model-landscape/","language":"Python","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/databricks-solutions.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE.md","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,"zenodo":null,"notice":"NOTICE.md","maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2026-05-26T17:21:26.000Z","updated_at":"2026-06-06T21:05:10.000Z","dependencies_parsed_at":null,"dependency_job_id":null,"html_url":"https://github.com/databricks-solutions/model-landscape","commit_stats":null,"previous_names":["databricks-solutions/model-landscape"],"tags_count":null,"template":false,"template_full_name":null,"purl":"pkg:github/databricks-solutions/model-landscape","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/databricks-solutions%2Fmodel-landscape","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/databricks-solutions%2Fmodel-landscape/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/databricks-solutions%2Fmodel-landscape/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/databricks-solutions%2Fmodel-landscape/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/databricks-solutions","download_url":"https://codeload.github.com/databricks-solutions/model-landscape/tar.gz/refs/heads/dev","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/databricks-solutions%2Fmodel-landscape/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34513020,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-18T02:00:06.871Z","response_time":128,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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":["mlflow","observability"],"created_at":"2026-06-19T00:30:32.925Z","updated_at":"2026-06-19T00:30:37.821Z","avatar_url":"https://github.com/databricks-solutions.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Model Landscape\n\nDatabricks-native model observability. Two halves of one product:\n\n- **mlflow-lens** — a small SDK that enriches MLflow runs with interactive\n  Plotly panels (classification, regression, model selection), training-time\n  drift, structured summaries, and workspace context.\n- **The warehouse app** — a Databricks App that monitors any Unity Catalog\n  inference table for drift, performance degradation, data-quality\n  regressions, and incidents. Data never leaves the workspace.\n\n## Docs\n\nThe full documentation site is the canonical source — install guide,\narchitecture, SDK reference, panel gallery, and the intro deck all live\nthere:\n\n→ **https://databricks-solutions.github.io/model-landscape/**\n\nRun it locally:\n\n```bash\nuv sync --extra docs\nuv run --extra docs python docs/_build_gallery.py\nuv run --extra docs mkdocs serve\n```\n\n## Quick deploy\n\n```bash\ngit clone https://github.com/databricks-solutions/model-landscape.git\ncd model-landscape\nuv build --wheel --out-dir dist\nuv build --wheel --out-dir dist mlflow-lens\n\ndatabricks bundle deploy -t warehouse_only \\\n  --var \"sql_warehouse_id=\u003cid\u003e\" \\\n  --var \"refresh_node_type_id=\u003cnode-type\u003e\" \\\n  --var \"control_plane_catalog=\u003ccatalog\u003e\" \\\n  --var \"control_plane_schema=model_landscape_control_plane\"\n\ndatabricks apps start model-landscape\ndatabricks apps deploy model-landscape \\\n  --source-code-path /Workspace/Users/\u003cemail\u003e/.bundle/model-landscape/warehouse_only/files\ndatabricks bundle run tutorial_mlops\n```\n\nFull first-time-setup guide: [Get started](https://databricks-solutions.github.io/model-landscape/getting_started.html).\n\n## Local development\n\n```bash\nuv sync --extra dev               # install workspace + dev deps\nuv run --extra dev pytest -q tests\nuv run --package mlflow-lens --extra dev pytest -q mlflow-lens/tests\nuv run --extra docs mkdocs build --strict\nuv build --wheel --out-dir dist\nuv build --wheel --out-dir dist mlflow-lens\nuv run python -m model_landscape.app  # run app locally\n```\n\n## License\n\nSee [LICENSE.md](LICENSE.md). Third-party notices in [NOTICE.txt](NOTICE.txt).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdatabricks-solutions%2Fmodel-landscape","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdatabricks-solutions%2Fmodel-landscape","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdatabricks-solutions%2Fmodel-landscape/lists"}