VSF Data Profiler v0.2.0-rc5

VSF Data Profiler v0.2.0-rc5

v0.2.0-rc5 publishes the dashboard Graph view declutter and progressive
disclosure work for local demo reviewers.

Highlights

• Decluttered dashboard Graph view with progressive disclosure.
• Low-noise default table/source overview.
• Focus/Full graph modes and opt-in columns/runtime/artifacts.
• Cleaner relationship graph default.
• No backend/artifact contract changes.

Validation

• node --check web/app.js
• .venv/bin/pytest -q tests/test_web_ui_static.py tests/test_web_runner.py tests/test_demo_small.py
• npm run test:e2e:dashboard
• .venv/bin/pytest -q
• .venv/bin/ruff check src tests scripts/verify_openai_smoke.py scripts/verify_vsf_artifacts.py scripts/benchmark_large_dataset.py
• PATH="$PWD/.venv/bin:$PATH" make demo-full
• Artifact audit: 0 violations.

VSF Data Profiler v0.2.0-rc3

VSF Data Profiler v0.2.0-rc3

Date: 2026-06-16

This prerelease publishes the validated US-058 and US-059 demo-facing fixes on
top of v0.2.0-rc2.

Highlights

• Generated Results preview.
• Reliable local DBML diagram preview.
• dbdiagram.io is secondary.
• No backend/artifact contract changes.
• Validation: pytest 79 passed, 3 skipped; Ruff; Playwright; demo-full;
  artifact audit.

Compatibility

• Existing CLI commands, web-runner routes, upload mode, local path mode,
  artifact names, artifact URLs, package outputs, and report paths are
  preserved.
• The local web runner still binds to 127.0.0.1 and runs the existing
  Python/DuckDB pipeline.
• The dashboard continues to consume generated artifacts only; it does not read
  raw source CSV rows.

VSF Data Profiler v0.2.0-rc2

VSF Data Profiler v0.2.0-rc2

Date: 2026-06-16

This prerelease publishes the validated US-055 and US-056 increments on top of
v0.2.0-rc1.

Highlights

• Added canonical table_assessments.json with one deterministic assessment
  per profiled table: inferred role, health score, readiness, issue counts,
  affected columns, relationship risks, business-impact category, evidence
  references, and next actions.
• Surfaced table assessments in Markdown/HTML reports, export packages,
  artifact audit, web-runner artifact links, dashboard filters, and drilldowns
  without changing existing artifact names.
• Extended optional L4 narrative context and guardrails so table/business-impact
  claims must be supported by table_assessments.json.
• Redesigned the local web runner as a restrained data-quality console with a
  run-first first screen, clear 127.0.0.1 local runner boundary, post-run
  dashboard focus, and dedicated Table Impact section.
• Added static UI and Playwright coverage for the new console, Table Impact
  dashboard, artifact-driven graph/drilldown behavior, and no raw CSV dashboard
  reads.

Validation

Release validation in the product checkout:

node --check web/app.js
.venv/bin/pytest -q
.venv/bin/ruff check src tests scripts/verify_openai_smoke.py scripts/verify_vsf_artifacts.py scripts/benchmark_large_dataset.py
npm run test:e2e:dashboard
make demo-full

Expected optional local connector smokes still skip cleanly when
VSF_POSTGRES_TEST_URL or VSF_MYSQL_TEST_URL is not configured.

Compatibility

• Existing CLI commands, web-runner routes, upload mode, local path mode,
  artifact names, artifact URLs, package outputs, and report paths are
  preserved.
• No hosted backend is introduced. Full browser-driven profiling still requires
  vsf-profiler web on 127.0.0.1.
• The dashboard continues to consume generated artifacts only; it does not read
  raw source CSV rows.

VSF Data Profiler v0.2.0-rc1

VSF Data Profiler v0.2.0-rc1 local release candidate.

Highlights:

• Local-first DBML + multi-CSV profiling with DuckDB-backed scans and bounded pandas materialization.
• Postgres and MySQL/MariaDB connector modes with chunked extracts, cleanup, and redaction.
• Deterministic JSON artifacts, Markdown/HTML reports, dashboard chart specs, relationship graph, lineage graph, and dataset verdict.
• Local web runner on 127.0.0.1 with upload/path modes, dashboard filters, and graph visualization.
• Export package with offline index, manifest checksums, deterministic zip, and optional analysis_report.pdf.
• Doctor, artifact audit, benchmark guardrails, and optional guarded LLM narrative.

Validation at release commit 542e374:

• pytest: 76 passed, 3 skipped.
• Ruff: passed.
• node --check web/app.js: passed.
• npm run test:e2e:dashboard: passed.
• vsf-profiler doctor: passed.
• make demo-small, make demo-full, make benchmark-small: passed.
• make postgres-smoke and make mysql-smoke: clean-skipped without fixture URLs.

Deployment boundary:

• Vercel is static preflight UI only.
• Full profiling/dashboard jobs require the local Python backend via vsf-profiler web on 127.0.0.1.