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Q-values are now optional and off by default in both the website and Python figures. The default figure shows log-rank p-values and hazard ratios.
To include q-values, enable Properties → Survival details → Show adjusted q-value, pass show_q=True to survscope.plot, or add --show-q to the CLI. Saved projects and presets preserve their chosen setting; Reset figure turns q-values off. Copied methods text follows this choice and describes BH adjustment across the available outcomes when enabled.
Calculated results, JSON fields, grouping, data, and the 6.8-inch layout are unchanged. A single tested outcome still omits the redundant q label. The README, help, user guide, and screenshots describe the new default.
Install the attached wheel directly. PyPI publishing uses GitHub OIDC Trusted Publishing and still requires the repository's one-time registration in PyPI; see the publishing guide.
The immutable data release remains data-v2026.09.18 (33 TCGA cohorts and 18 CPTAC groups). The deployment pipeline additionally checks the full cohort catalog and Pages size budget.
Validation: 59 Python tests, 26 browser unit tests, all 93 Chromium/Firefox/WebKit scenarios, and 744 independent Python/JavaScript/R fixture endpoint comparisons passed. With q-values enabled, the 6.8-inch reference figure is pixel-identical to v0.4.2.
Deployment and live-site verification passed: 5,256 endpoint comparisons across all 51 cohorts had zero Python/JavaScript/R validation failures. The deployed site is 837,168,799 bytes, below the 850 MiB limit. Live TCGA and CPTAC checks confirmed default-off, opt-in, saved-project restoration, matching methods text, and SVG exports, with no external runtime requests or browser errors. Reports and SHA-256 checksums are attached.