Public recordModerate
Software health reportschema 0.14.0 · metrics 1.13.0 · 2026-07-18 23:31 UTC
chengcli / kintera
chengcli/kintera holds a health index of 52 out of 100, placing it in the Moderate band. It scores highest on Vitality (90/100) and lowest on Security (1/100). It was last updated today. A single contributor accounts for most of its recent work.
52
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.
52
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
Cheng LiPersonal account
18 followers51 public repossince Aug 2020
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 | kintera | 2.4.6 | - | 63 | 0 days ago |
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
90
Development activity
83Good
How it's scored
| 36/36 | Push recency — last push 0 days ago |
| 20.8/36 | Commit cadence — 30/52 weeks with commits |
| 18/18 | Commit volume — 108 commits in the last year |
| 0/10 | OpenSSF Scorecard: Maintained — no data |
Inputs used
| commits_last_year | 108 |
| human_commit_share | — |
| days_since_last_push | 0 |
| active_weeks_last_year | 30 |
Release discipline
100Excellent
How it's scored
| 27/27 | Ships releases — 92 releases published |
| 36/36 | Release recency — latest release 0 days ago |
| 27/27 | Release cadence — a release every ~6.1 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — no data |
Inputs used
| releases_count | 92 |
| latest_release_tag | v2.4.6 |
| releases_from_tags | no |
| days_since_latest_release | 0 |
| mean_days_between_releases | 6.1 |
Community & Adoption
Does the project have users, downloads, attention, and a welcoming setup for contributors?
12
Popularity & adoption
1Critical
How it's scored
| 0/60 | Stars — 1 stars |
| 0/25 | Forks — 0 forks |
| 0/15 | Watchers — 0 watchers |
Inputs used
| forks | 0 |
| stars | 1 |
| watchers | 0 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community health
25Critical
How it's scored
| 0/22.5 | 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 | no |
| has_license | no |
| has_contributing | no |
| has_issue_template | no |
| has_code_of_conduct | no |
| has_pull_request_template | no |
Sustainability & Governance
Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?
68
Maintainer resilience (bus factor)
32At risk
How it's scored
| 9/54 | Bus factor — 1 contributor(s) cover half of all commits |
| 10/22.5 | Commit distribution — top contributor authored 56% of commits |
| 9.5/13.5 | Contributor breadth — 7 contributors |
| 0/10 | OpenSSF Scorecard: Contributors — no data |
Inputs used
| bus_factor | 1 |
| contributors_sampled | 7 |
| top_contributor_share | 0.557 |
Issue & PR responsiveness
99Excellent
How it's scored
| 46.8/46.8 | Issue resolution — 100% of issues closed |
| 37.5/38.3 | PR acceptance — 97/99 decided PRs merged |
| 0/15 | OpenSSF Scorecard: Code-Review — no data |
Inputs used
| merged_prs | 97 |
| open_issues | 0 |
| closed_issues | 4 |
| issue_closed_ratio | 1 |
| closed_unmerged_prs | 2 |
Ownership & stewardship
54Moderate
How it's scored
| 10/30 | Ownership backing — personal (user) account |
| 0/20 | Verified domain — not applicable to user accounts |
| 9.2/25 | Owner reach — 18 followers of chengcli |
| 24.4/25 | Track record — 51 public repos, account ~5 yr old |
Inputs used
| followers | 18 |
| owner_type | User |
| is_verified | — |
| owner_login | chengcli |
| public_repos | 51 |
| account_age_days | 2,167 |
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 — 63 published versions |
| 20/20 | Not deprecated — active, not deprecated or yanked |
Inputs used
| packages | kintera |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 0 |
Engineering Quality
Are baseline engineering and documentation practices in place?
69
Engineering practices
92Excellent
How it's scored
| 24/24 | CI workflows — 3 workflow(s) |
| 24/24 | Tests present |
| 16/16 | Linter config |
| 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
35At risk
How it's scored
| 0/30 | README |
| 25/25 | Documentation directory |
| 0/15 | Documentation / homepage site |
| 0/10 | Repository description |
| 0/10 | Topics |
| 10/10 | Wiki |
Inputs used
| topics | — |
| has_wiki | yes |
| homepage | — |
| has_readme | no |
| has_docs_dir | yes |
| has_description | no |
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 — published library — lockfiles are an application concern, not expected |
| 0/20 | CodeQL workflow |
Inputs used
| source | file_signals |
| lockfiles | — |
| manifests | docker/requirements.txt, docs/requirements.txt, pyproject.toml, setup.py |
| has_codeql_workflow | no |
| has_security_policy | no |
| has_dependabot_config | no |
Excluded from scoring (no data or not applicable): Dependency lockfiles. 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.
59
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)
100Excellent
How it's scored
| 18/18 | One-command bootstrap — Makefile, docs/Makefile |
| 22/22 | Automated tests |
| 11/11 | Lint / format config |
| 11/11 | Static type checking — mypy.ini, python/py.typed |
| 10/10 | Reproducible environment — Dockerfile |
| 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 | yes |
| typed_language | no |
| bootstrap_files | Makefile, docs/Makefile |
| has_devcontainer | no |
| has_linter_config | yes |
| typecheck_configs | mypy.ini, python/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 (mypy.ini, python/py.typed) |
| 55/55 | Manageable file sizes — 0/270 source files over 60KB |
Inputs used
| primary_language | Python |
| largest_source_bytes | 58,216 |
| source_files_sampled | 270 |
| 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 — examples |
Inputs used
| example_dirs | examples |
| has_mcp_signal | no |
| api_schema_files | — |
Key facts
1GitHub stars
7contributors
108commits, last 12 months
0days since last push
92releases
1bus factor
0open issues
PyPIpackage ecosystems
Data collection warnings
- Community profile unavailable
- Could not fetch pypi package 'kintera.kintera' from its registry
- OpenSSF Scorecard timed out after 240s; skipping Scorecard checks
More detail
Direct dependencies 3
| Registry | Package | Version constraint | Manifest |
|---|---|---|---|
| PyPI | numpy | — | pyproject.toml |
| PyPI | scipy | — | pyproject.toml |
| PyPI | pyharp | >=2.2.0 | pyproject.toml |
All dependencies 11
Full resolved dependency set from the GitHub dependency graph: 5 direct and 6 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
| Registry | Package | Version | Relation |
|---|---|---|---|
| PyPI | numpy | — | direct |
| PyPI | numpy | 2.0.1 | direct |
| PyPI | pyharp | — | direct |
| PyPI | pyharp | 1.7.2 | direct |
| PyPI | scipy | — | direct |
| PyPI | setuptools | — | indirect |
| PyPI | setuptools-scm | — | indirect |
| PyPI | sphinx | — | indirect |
| PyPI | sphinx-rtd-theme | — | indirect |
| PyPI | sphinxcontrib-napoleon | — | indirect |
| PyPI | torch | 2.7.1 | indirect |
Raw JSON report machine-readable
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"metrics": {
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"inputs": {
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{
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{
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],
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{
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"metrics": [
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],
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"full_name": "chengcli/kintera",
"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 v0.14.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics — PyPI.