Public recordAt risk
Software health reportschema 0.11.0 · metrics 1.13.0 · 2026-07-15 12:15 UTC
Ruibin-Liu / pdbx2df
Super lightweight and fast mmCIF/PDB/MOL2 file parser into Pandas DataFrames and backwards writer.
Ruibin-Liu/pdbx2df holds a health index of 45 out of 100, placing it in the At risk band. It scores highest on Engineering Quality (95/100) and lowest on Security (1/100). It was last updated 99 days ago. A single contributor accounts for most of its recent work.
45
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.
45
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
Ruibin LiuPersonal account
37 followers50 public repossince Apr 2014University of Maryland School of Pharmacy
This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
31
Development activity
11Critical
How it's scored
| 9.9/36 | Push recency — last push 99 days ago |
| 0/36 | Commit cadence — 0/52 weeks with commits |
| 0/18 | Commit volume — 0 commits in the last year |
| 0/10 | OpenSSF Scorecard: Maintained — no data |
Inputs used
| commits_last_year | 0 |
| human_commit_share | — |
| days_since_last_push | 99 |
| active_weeks_last_year | 0 |
Release discipline
60Moderate
How it's scored
| 27/27 | Ships releases — 30 releases published |
| 0/36 | Release recency — latest release 1,009 days ago |
| 27/27 | Release cadence — a release every ~2.9 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — no data |
Inputs used
| releases_count | 30 |
| latest_release_tag | v0.7.5 |
| releases_from_tags | no |
| days_since_latest_release | 1,009 |
| mean_days_between_releases | 2.9 |
Community & Adoption
Does the project have users, downloads, attention, and a welcoming setup for contributors?
48
Popularity & adoption
16Critical
How it's scored
| 16.2/60 | Stars — 11 stars |
| 0/25 | Forks — 2 forks |
| 0/15 | Watchers — 2 watchers |
Inputs used
| forks | 2 |
| stars | 11 |
| watchers | 2 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community health
85Excellent
How it's scored
| 22.5/22.5 | README |
| 22.5/22.5 | License — recognized license (MIT) |
| 18/18 | CONTRIBUTING guide |
| 13.5/13.5 | Code of conduct |
| 0/7.2 | Issue template |
| 0/6.3 | PR template |
Inputs used
| has_readme | yes |
| has_license | yes |
| has_contributing | yes |
| has_issue_template | no |
| has_code_of_conduct | yes |
| has_pull_request_template | no |
Sustainability & Governance
Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?
44
Maintainer resilience (bus factor)
18Critical
How it's scored
| 9/54 | Bus factor — 1 contributor(s) cover half of all commits |
| 1.6/22.5 | Commit distribution — top contributor authored 93% of commits |
| 5.4/13.5 | Contributor breadth — 4 contributors |
| 0/10 | OpenSSF Scorecard: Contributors — no data |
Inputs used
| bus_factor | 1 |
| contributors_sampled | 4 |
| top_contributor_share | 0.928 |
Issue & PR responsiveness
62Moderate
How it's scored
| 15.6/46.8 | Issue resolution — 33% of issues closed |
| 36.9/38.3 | PR acceptance — 28/29 decided PRs merged |
| 0/15 | OpenSSF Scorecard: Code-Review — no data |
Inputs used
| merged_prs | 28 |
| open_issues | 6 |
| closed_issues | 3 |
| issue_closed_ratio | 0.333 |
| closed_unmerged_prs | 1 |
Ownership & stewardship
57Moderate
How it's scored
| 10/30 | Ownership backing — personal (user) account |
| 0/20 | Verified domain — not applicable to user accounts |
| 11.4/25 | Owner reach — 37 followers of Ruibin-Liu |
| 24.4/25 | Track record — 50 public repos, account ~12 yr old |
Inputs used
| followers | 37 |
| owner_type | User |
| is_verified | — |
| owner_login | Ruibin-Liu |
| public_repos | 50 |
| account_age_days | 4,464 |
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.
Engineering Quality
Are baseline engineering and documentation practices in place?
95
Engineering practices
92Excellent
How it's scored
| 24/24 | CI workflows — 2 workflow(s) |
| 24/24 | Tests present |
| 16/16 | Linter config — tox.ini |
| 9.6/9.6 | Pre-commit hooks |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — no data |
Inputs used
| has_ci | yes |
| has_tests | yes |
| has_editorconfig | no |
| has_linter_config | yes |
| has_precommit_config | yes |
Documentation
100Excellent
How it's scored
| 30/30 | README |
| 25/25 | Documentation directory |
| 15/15 | Documentation / homepage site — https://moldf.readthedocs.io/en/latest/ |
| 10/10 | Repository description |
| 10/10 | Topics — 7 topics |
| 10/10 | Wiki |
Inputs used
| topics | bioinformatics, pandas, pdb-parser, mmcif, mol2, python, atomselection |
| has_wiki | yes |
| homepage | https://moldf.readthedocs.io/en/latest/ |
| 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?
1
Security posture
1Critical
How it's scored
| 0/30 | Security policy (SECURITY.md) |
| 0/25 | Dependabot config |
| 0/25 | Dependency lockfiles |
| 0/20 | CodeQL workflow |
Inputs used
| source | file_signals |
| lockfiles | — |
| manifests | docs/requirements.txt, pyproject.toml, requirements.txt, requirements_dev.txt, setup.cfg, setup.py |
| has_codeql_workflow | no |
| has_security_policy | no |
| has_dependabot_config | no |
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.
55
Agent context & guidance
1Critical
How it's scored
| 0/45 | Agent instructions — no CLAUDE.md / AGENTS.md / editor rules |
| 0/15 | Machine-readable docs (llms.txt) |
| 0/40 | Legible commit history — no data |
Inputs used
| has_llms_txt | no |
| legible_history_share | — |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
Verify loop (build / test / typecheck)
86Excellent
How it's scored
| 18/18 | One-command bootstrap — docs/Makefile |
| 22/22 | Automated tests |
| 11/11 | Lint / format config — tox.ini |
| 11/11 | Static type checking — moldf/py.typed |
| 0/10 | Reproducible environment |
| 0/10 | Demonstrated agent practice — no data |
| 0/8 | Automated maintenance — no data |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — no data |
Inputs used
| has_nix | no |
| has_tests | yes |
| lockfiles | — |
| has_dockerfile | no |
| typed_language | no |
| bootstrap_files | docs/Makefile |
| has_devcontainer | no |
| has_linter_config | yes |
| typecheck_configs | moldf/py.typed |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | — |
Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.
How it's scored
| 27/45 | Type-checkable code — Python with type-check config (moldf/py.typed) |
| 53.2/55 | Manageable file sizes — 1/30 source files over 60KB |
Inputs used
| primary_language | Python |
| largest_source_bytes | 61,107 |
| source_files_sampled | 30 |
| oversized_source_files | 1 |
Key facts
11GitHub stars
4contributors
0commits, last 12 months
99days since last push
30releases
1bus factor
6open issues
PyPIpackage ecosystems
Data collection warnings
- OpenSSF Scorecard timed out after 240s; skipping Scorecard checks
More detail
All dependencies 15
Full resolved dependency set from the GitHub dependency graph: 0 direct and 15 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
| Registry | Package | Version | Relation |
|---|---|---|---|
| PyPI | black | — | indirect |
| PyPI | flake8 | — | indirect |
| PyPI | furo | — | indirect |
| PyPI | isort | — | indirect |
| PyPI | mypy | — | indirect |
| PyPI | numpy | — | indirect |
| PyPI | pandas | — | indirect |
| PyPI | pre-commit | — | indirect |
| PyPI | pytest | — | indirect |
| PyPI | pytest-cov | — | indirect |
| PyPI | scipy | — | indirect |
| PyPI | sphinx | — | indirect |
| PyPI | sphinx-copybutton | — | indirect |
| PyPI | tox | — | indirect |
| PyPI | typing-extensions | — | indirect |
Raw JSON report machine-readable
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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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"components": [
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},
{
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},
{
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{
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},
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],
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"components": [
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],
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],
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},
{
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"name": "AI Readiness",
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"weight": 0,
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{
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]
},
{
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"code": "excluded_no_data",
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],
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},
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],
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{
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},
{
"key": "lint_format_config",
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"code": "file_list",
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}
],
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{
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],
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},
{
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"points": 0,
"status": "missed",
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},
{
"key": "demonstrated_agent_practice",
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"points": 0,
"status": "excluded",
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"code": "no_data",
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],
"max_points": 10
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{
"key": "automated_maintenance",
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],
"max_points": 8
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{
"key": "openssf_scorecard_pinned_dependencies",
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"details": [
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"code": "no_data",
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],
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},
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"notes": [],
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"components": [
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{
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],
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}
],
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},
"warnings": [
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],
"report_type": "repository",
"generated_at": "2026-07-15T12:15:12.133297Z",
"schema_version": "0.11.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/r/Ruibin-Liu/pdbx2df.svg",
"full_name": "Ruibin-Liu/pdbx2df",
"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 v0.11.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics.