Public recordModerate
Software health reportschema 0.23.0 · metrics 1.13.0 · 2026-07-21 17:02 UTC
Hugoberry / pbixray
Power BI data model parser for .pbix, .xlsx (PowerPivot) and .abf files. Surfaces metadata (DAX, Power Query/M, TMSCHEMA) and decodes VertiPaq tables — whole, column-projected, or streamed in memory-bounded chunks.
Hugoberry/pbixray holds a health index of 64 out of 100, placing it in the Moderate band. It scores highest on Vitality (84/100) and lowest on AI Readiness (40/100). It was last updated today. A single contributor accounts for most of its recent work.
64
overall / 100Software health index
Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At risk ceiling of 49. AI Readiness sits outside the overall score.
64
Excellent85-100Exemplary; meets essentially all checked criteria
Good70-84Healthy; minor gaps
Moderate50-69Acceptable with notable gaps; review recommended
At risk30-49Significant weaknesses; adoption warrants caution
Critical1-29Severe problems (abandoned, single-maintainer, no hygiene)
Score profile
Each axis is a category. The shape matters more than the average — a healthy subject fills the whole shape, while a spike-and-crater profile means strength in one dimension is masking risk in another.
Ownership
Igor CotrutaPersonal account
184 followers68 public repossince Nov 2013Alphaverse Limited
This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.
Package ecosystems
| Registry | Package | Version | Downloads / mo | Versions | Last publish |
|---|---|---|---|---|---|
| PyPI | pbixray | 0.15.2 | 188,901 | 29 | 0 days ago |
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
84
Development activity
74Good
How it's scored
| 36/36 | Push recency — last push 0 days ago |
| 10.4/36 | Commit cadence — 15/52 weeks with commits |
| 18/18 | Commit volume — 103 commits in the last year |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10 |
Inputs used
| commits_last_year | 103 |
| human_commit_share | 1 |
| days_since_last_push | 0 |
| active_weeks_last_year | 15 |
Release discipline
100Excellent
How it's scored
| 27/27 | Ships releases — 25 releases published |
| 36/36 | Release recency — latest release 0 days ago |
| 27/27 | Release cadence — a release every ~8.4 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — no data |
Inputs used
| releases_count | 25 |
| latest_release_tag | 0.15.2 |
| releases_from_tags | no |
| days_since_latest_release | 0 |
| mean_days_between_releases | 8.4 |
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Signed-Releases. Remaining weights renormalized.
Community & Adoption
Does the project have users, downloads, attention, and a welcoming setup for contributors?
60
Popularity & adoption
50Moderate
How it's scored
| 34.6/60 | Stars — 136 stars |
| 10.7/25 | Forks — 20 forks |
| 4.3/15 | Watchers — 7 watchers |
Inputs used
| forks | 20 |
| stars | 136 |
| watchers | 7 |
| growth_state | organic |
| growth_factor_pct | 100 |
Community health
50Moderate
How it's scored
| 22.5/22.5 | README |
| 22.5/22.5 | License — recognized license (MIT) |
| 0/18 | CONTRIBUTING guide |
| 0/13.5 | Code of conduct |
| 0/7.2 | Issue template |
| 0/6.3 | PR template |
Inputs used
| has_readme | yes |
| has_license | yes |
| has_contributing | no |
| has_issue_template | no |
| has_code_of_conduct | no |
| has_pull_request_template | no |
Ecosystem adoption (downloads)
88Excellent
How it's scored
| 70.3/80 | Monthly downloads — 188,901 downloads/month across pypi |
| 0/20 | Registry dependents — not reported by this ecosystem |
Inputs used
| packages | pbixray |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 188,901 |
Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.
Sustainability & Governance
Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?
61
Maintainer resilience (bus factor)
15Critical
How it's scored
| 9/54 | Bus factor — 1 contributor(s) cover half of all commits |
| 0.1/22.5 | Commit distribution — top contributor authored 99% of commits |
| 2.7/13.5 | Contributor breadth — 2 contributors |
| 3/10 | OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3 |
Inputs used
| bus_factor | 1 |
| contributors_sampled | 2 |
| top_contributor_share | 0.994 |
How it's scored
| 46.8/46.8 | Issue resolution — 100% of issues closed |
| 35.6/38.3 | PR acceptance — 27/29 decided PRs merged |
| 0/15 | OpenSSF Scorecard: Code-Review — Found 1/16 approved changesets -- score normalized to 0 |
Inputs used
| merged_prs | 27 |
| open_issues | 0 |
| closed_issues | 23 |
| issue_closed_ratio | 1 |
| closed_unmerged_prs | 2 |
Ownership & stewardship
64Moderate
How it's scored
| 10/30 | Ownership backing — personal (user) account |
| 0/20 | Verified domain — not applicable to user accounts |
| 16.3/25 | Owner reach — 184 followers of Hugoberry |
| 25/25 | Track record — 68 public repos, account ~12 yr old |
Inputs used
| followers | 184 |
| owner_type | User |
| is_verified | — |
| owner_login | Hugoberry |
| public_repos | 68 |
| account_age_days | 4,623 |
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.
Package maintenance
100Excellent
How it's scored
| 25/25 | Published & resolvable — 1 package(s) on pypi |
| 35/35 | Publish recency — latest publish 0 days ago |
| 20/20 | Version history — 29 published versions |
| 20/20 | Not deprecated — active, not deprecated or yanked |
Inputs used
| packages | pbixray |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 0 |
Engineering Quality
Are baseline engineering and documentation practices in place?
65
Engineering practices
48At risk
How it's scored
| 24/24 | CI workflows — 1 workflow(s) |
| 24/24 | Tests present |
| 0/16 | Linter config |
| 0/9.6 | Pre-commit hooks |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — 0 out of 11 merged PRs checked by a CI test -- score normalized to 0 |
Inputs used
| has_ci | yes |
| has_tests | yes |
| has_editorconfig | no |
| has_linter_config | no |
| has_precommit_config | no |
Documentation
90Excellent
How it's scored
| 30/30 | README |
| 25/25 | Documentation directory |
| 15/15 | Documentation / homepage site — https://www.pbixray.com/docs |
| 10/10 | Repository description |
| 10/10 | Topics — 3 topics |
| 0/10 | Wiki |
Inputs used
| topics | pbix, powerbi, vertipaq |
| has_wiki | no |
| homepage | https://www.pbixray.com/docs |
| has_readme | yes |
| has_docs_dir | yes |
| has_description | yes |
Security
Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?
42
Security posture
42At risk
How it's scored
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — branch protection not enabled on development/release branches |
| 0/2.5 | CI-Tests — 0 out of 11 merged PRs checked by a CI test -- score normalized to 0 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 0/7.5 | Code-Review — Found 1/16 approved changesets -- score normalized to 0 |
| 0.8/2.5 | Contributors — project has 1 contributing companies or organizations -- score normalized to 3 |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 0/7.5 | Dependency-Update-Tool — no update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | License — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10 |
| 5/5 | Packaging — packaging workflow detected |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 0/5 | SAST — SAST tool is not run on all commits -- score normalized to 0 |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — no data |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 7.5/7.5 | Vulnerabilities — 0 existing vulnerabilities detected |
Inputs used
| source | openssf_scorecard |
| checks_evaluated | 17 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 1 |
| scorecard_aggregate | 4.2 |
Excluded from scoring (no data or not applicable): signed_releases. Remaining weights renormalized.
AI Readiness
How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score.
40
Agent context & guidance
55Moderate
How it's scored
| 45/45 | Agent instructions — AGENTS.md |
| 0/15 | Machine-readable docs (llms.txt) |
| 9.6/40 | Legible commit history — 18 of 100 human commits state their intent (structured subject or explanatory body) |
Inputs used
| has_llms_txt | no |
| legible_history_share | 0.18 |
| agent_instruction_files | AGENTS.md |
| agent_instruction_max_bytes | 15,715 |
Verify loop (build / test / typecheck)
22Critical
How it's scored
| 0/18 | One-command bootstrap |
| 22/22 | Automated tests |
| 0/11 | Lint / format config |
| 0/11 | Static type checking |
| 0/10 | Reproducible environment |
| 0/10 | Demonstrated agent practice — no agent-authored commits among the last 100 |
| 0/8 | Automated maintenance — no automated dependency updates observed |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Inputs used
| has_nix | no |
| has_tests | yes |
| lockfiles | — |
| has_dockerfile | no |
| typed_language | no |
| bootstrap_files | — |
| has_devcontainer | no |
| has_linter_config | no |
| typecheck_configs | — |
| agent_commit_share | 0 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Code legibility for models
55Moderate
How it's scored
| 0/45 | Type-checkable code — Python without a type-check config |
| 55/55 | Manageable file sizes — 0/65 source files over 60KB |
Inputs used
| primary_language | Python |
| largest_source_bytes | 55,645 |
| source_files_sampled | 65 |
| oversized_source_files | 0 |
Machine-readable interfaces
40At risk
How it's scored
| 0/40 | API schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP server |
| 40/40 | Runnable examples — notebooks |
Inputs used
| example_dirs | notebooks |
| has_mcp_signal | no |
| api_schema_files | — |
Key facts
136GitHub stars
2contributors
103commits, last 12 months
0days since last push
25releases
1bus factor
0open issues
PyPIpackage ecosystems
Data collection warnings
- deps.dev does not index pypi:pbixray@0.15.2; advisories assessed against the repository dependency graph instead
- No resolved dependencies carried a version and a supported ecosystem
More detail
Star and fork history 136 ★ / 20 ⇿
136Stars
20Forks
24Releases
When each star and fork was added, collected from GitHub and bucketed by day. Cumulative growth sits directly above the daily additions it is made of, so the two read against each other: steady organic accretion looks nothing like an abrupt, short-lived burst. Where that difference is measurable, it is reported as growth authenticity.
Major 0Minor 10Patch 14
Each point covers 2 days.
OpenSSF Scorecard 4.2 / 10
4.2aggregate
Independent, tool-agnostic security assessment from the open-source OpenSSF Scorecard. Each check rewards a security practice, not a specific vendor's tool. Checks Scorecard could not determine are marked n/a and excluded from the security score (never counted as zero).
| 10 | Binary-Artifacts | no binaries found in the repo |
| 0 | Branch-Protection | branch protection not enabled on development/release branches |
| 0 | CI-Tests | 0 out of 11 merged PRs checked by a CI test -- score normalized to 0 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 0 | Code-Review | Found 1/16 approved changesets -- score normalized to 0 |
| 3 | Contributors | project has 1 contributing companies or organizations -- score normalized to 3 |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 0 | Dependency-Update-Tool | no update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10 |
| 10 | Packaging | packaging workflow detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 0 | Security-Policy | security policy file not detected |
| n/a | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
All dependencies 8
Full resolved dependency set from the GitHub dependency graph: 0 direct and 8 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
| Registry | Package | Version | Relation |
|---|---|---|---|
| PyPI | apsw | — | indirect |
| PyPI | icecream | — | indirect |
| PyPI | kaitaistruct | — | indirect |
| PyPI | numpy | — | indirect |
| PyPI | pandas | — | indirect |
| PyPI | xmhuffman | — | indirect |
| PyPI | xpress8 | — | indirect |
| PyPI | xpress9 | — | indirect |
Dependency advisories not assessed
Advisory matching could not run for this report: No resolved dependencies carried a version and a supported ecosystem
Raw JSON report machine-readable
{
"data": {
"repo": {
"topics": [
"pbix",
"powerbi",
"vertipaq"
],
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"languages": {
"Python": 429169,
"Jupyter Notebook": 25391
},
"pushed_at": "2026-07-21T16:59:51Z",
"created_at": "2023-10-19T16:10:00Z",
"owner_type": "User",
"updated_at": "2026-07-21T16:54:04Z",
"description": "Power BI data model parser for .pbix, .xlsx (PowerPivot) and .abf files. Surfaces metadata (DAX, Power Query/M, TMSCHEMA) and decodes VertiPaq tables — whole, column-projected, or streamed in memory-bounded chunks.",
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},
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"kind": "minor",
"published_at": "2026-04-21T08:42:02Z"
},
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},
{
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},
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"recent_commits": [
{
"oid": "eb1180dcfc8c06f9d99958cd53c7cd285c49a7b0",
"body": null,
"is_bot": false,
"headline": "Regression fixture for per-segment null decode (#52)",
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"headline": "Fix off-by-one bit-pack base for nullable dictionary segments (#52)",
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{
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"headline": "Resolving API inconsistencies across different endpoints (#51)",
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"body_truncated": false,
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"headline": "Memory optimization (#50)",
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},
{
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"body": "* aggregations query with details view and surface via new API\n\n* refresh policy fix for older schemas\n\n* OLS + Perspectives friendly endpoint\n\n* update gitignore\n\n* bump the version because of API",
"is_bot": false,
"headline": "aggregations query with details view and surface via new API (#49)",
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"body_truncated": false,
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},
{
"oid": "361ad16128c1fcb6417ab9c8e8c786eda3d77b74",
"body": "* live connection exceptions\n\n* DataMashup parser\n\n* support for legacy schema < v17\n\n* unpack ABF zipless envelope\n\n* partition aware metadata dedupe\n\n* multi partition decoder concatenation\n\n* multi partition test and docs\n\n* multi partition metrics\n\n* multi partition table test + automatic data type for calculated columns\n\n* picking up metrics from logs",
"is_bot": false,
"headline": "Support for DataMashup parsing from legacy format (#48)",
"author_name": "Igor Cotruta",
"author_login": "Hugoberry",
"committed_at": "2026-06-24T09:21:40Z",
"body_truncated": false,
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},
{
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"body": null,
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"headline": "live connection exceptions (#47)",
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},
{
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{
"oid": "3265f683083355ee8eb5d42bbe2158f70726f295",
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"is_bot": false,
"headline": "Excludes relationships pointing to hidden Auto Date/Time tables",
"author_name": "Igor Cotruta",
"author_login": "Hugoberry",
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{
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{
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{
"key": "owner_reach",
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{
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{
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{
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{
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{
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{
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{
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},
{
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{
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{
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{
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{
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{
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{
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"description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
}
],
"metrics_version": "1.13.0"
},
"warnings": [
"deps.dev does not index pypi:pbixray@0.15.2; advisories assessed against the repository dependency graph instead",
"No resolved dependencies carried a version and a supported ecosystem"
],
"report_type": "repository",
"generated_at": "2026-07-21T17:02:05.093868Z",
"schema_version": "0.23.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/h/Hugoberry/pbixray.svg",
"full_name": "Hugoberry/pbixray",
"license_state": "standard",
"license_spdx": "MIT"
}Scores are signals, not warranties. They reflect publicly visible practices on GitHub — not a code audit, and not a security guarantee.
Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v1.13.0, schema v0.23.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics — PyPI.