# Share an MLflow Run Report Without Giving Out Tracking Server Access Canonical: https://commareports.com/share-mlflow-report Published: 2026-09-02 > The MLflow UI is a server on your network and its artifacts are objects in a bucket. Publish the run comparison as HTML so the people judging the model can actually open it. # Share an MLflow run report MLflow tracks the experiment properly. Then someone asks "is the new model better?" and you discover that the answer only exists inside a server on your network. - **The tracking UI is yours to host.** A run URL is `http://mlflow.internal:5000/#/experiments/3/runs/…`, which resolves for people on the VPN with access to that host and for nobody else. - **Artifacts are bucket objects.** `mlflow.log_artifact` puts your confusion matrix or SHAP plot in S3, GCS or a mounted volume. Reading it means credentials to that store, which the product manager does not have. - **The comparison view has no shareable form at all.** The table of five runs side by side — the actual answer to "is it better" — exists as UI state. So it becomes a screenshot. The screenshot loses the columns that did not fit, and the reply comes back as "what about recall on the minority class?", which is in the part that got cropped. ## Publish the comparison `mlflow.search_runs` gives you the whole experiment as a DataFrame. Render it, publish once, and update the same report at the end of every run: ```python import os import mlflow import requests runs = mlflow.search_runs( experiment_names=["churn-v3"], order_by=["metrics.val_auc DESC"], max_results=20, ) cols = [ "tags.mlflow.runName", "params.model", "params.lr", "metrics.val_auc", "metrics.val_recall", "metrics.train_loss", "start_time", ] table = runs[cols].rename(columns=lambda c: c.split(".")[-1]) html = f""" churn-v3 — run comparison

churn-v3 — run comparison

Top {len(table)} runs by validation AUC. Best: {table["val_auc"].max():.4f}.

{table.to_html(index=False, escape=True, float_format=lambda v: f"{v:.4f}")}""" requests.patch( f"https://commareports.com/api/v1/reports/{os.environ['COMMA_REPORT_ID']}", headers={"Authorization": f"Bearer {os.environ['COMMA_API_TOKEN']}"}, json={"title": "churn-v3 — run comparison", "html": html}, timeout=30, ).raise_for_status() ``` To include the plots as well, log them as usual and attach the image files as [assets](/docs/api), or inline a self-contained Plotly figure with `fig.to_html(full_html=False, include_plotlyjs="cdn")` — the sandbox allows scripts and styles from jsdelivr, unpkg, cdnjs and esm.sh. Your tracking server does not change. It stays the system of record for parameters, metrics and lineage; the published report is the part you send to people who are never going to open it. ## What the published copy adds - **Readers without tracking-server access.** Visibility is [private, team, domain-gated, or link](/docs/sharing), decided per report. - **It renders.** HTML is stored verbatim and served inside a sandboxed iframe with scripts enabled, so a Plotly ROC curve or a SHAP summary stays interactive — see [sharing a SHAP plot](/share-shap-plot). - **Comments anchored to the number.** A reviewer highlights the recall column and pins "this is worse than the current model for the segment that matters" to it — see [commenting on HTML](/comment-on-html). - **One URL across training runs.** Revisions accumulate at the same address and any two can be diffed, which makes "did last night's run actually help" a question with an answer. - **A model card link that keeps working.** The URL outlives the tracking server's hostname, the VPN change and the reorg. ## Limits - **HTML body: 5 MB.** Large figures and full artifact bundles go in as [assets](/docs/api) at 25 MB per file, 250 MB per report. - **A report that fetches sibling data files at view time** can't, from the sandbox — inline the data or attach the archive. - **Rate limit: 60 requests/minute per token.** ## Try it Comma is free — unlimited reports, unlimited commenters, unlimited revision history. **[Create your first report →](https://commareports.com/)** ### Related - [Share an EDA report](/share-eda-report) · [Share an Evidently report](/share-evidently-report) - [Share a SHAP plot](/share-shap-plot) · [Share a Jupyter notebook as HTML](/share-jupyter-notebook-html) - [Share an LLM eval report](/agents/share-llm-eval-report)