Public recordCritical
Software health reportschema 0.26.0 · metrics 1.13.0 · 2026-07-22 01:32 UTC
python-babel / flask-babel
i18n and l10n support for Flask based on Babel and pytz
python-babel/flask-babel holds a health index of 29 out of 100, placing it in the Critical band. It scores highest on Engineering Quality (61/100) and lowest on Vitality (18/100). It was last updated 713 days ago. A single contributor accounts for most of its recent work.
29
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.
29
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.
Abandonment Policy applies a 60% multiplier to weighted overall health and gives it a ceiling of 49.
Ownership
python-babelOrganization
22 followers3 public repossince Sep 2015
This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.
Package ecosystems
| Registry | Package | Version | Downloads / mo | Versions | Last publish |
|---|---|---|---|---|---|
| PyPI | flask-babel | 4.0.0 | - | 18 | 1024 days ago |
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
18
Development activity
1Critical
Abandonment alert
Work has arrived and nobody has attended to it
no human commit in 762 daysautomated commits excludedpull requests left unansweredissues left unansweredOpenSSF Scorecard reports it unmaintainedOverall rating: At risk ceiling
Silence alone is never the finding — a small, finished library may need no commits for years. This alert requires both: no human commit for a long time, and obligations the project is visibly not discharging. Automated commits do not count as maintenance.
How abandonment is assessedHow it's scored
| 0/36 | Push recency — last push 713 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 — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
Inputs used
| commits_last_year | 0 |
| human_commit_share | 1 |
| days_since_last_push | 713 |
| active_weeks_last_year | 0 |
Release discipline
44At risk
How it's scored
| 27/27 | Ships releases — 6 releases published |
| 0/36 | Release recency — latest release 1,024 days ago |
| 12.6/27 | Release cadence — a release every ~266.6 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — no data |
Inputs used
| releases_count | 6 |
| latest_release_tag | v4.0.0 |
| releases_from_tags | no |
| days_since_latest_release | 1,024 |
| mean_days_between_releases | 266.6 |
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?
56
Popularity & adoption
67Moderate
How it's scored
| 43/60 | Stars — 451 stars |
| 18.4/25 | Forks — 163 forks |
| 6/15 | Watchers — 13 watchers |
Inputs used
| forks | 163 |
| stars | 451 |
| watchers | 13 |
| growth_state | organic |
| growth_factor_pct | 100 |
Community health
44At risk
How it's scored
| 22.5/22.5 | README |
| 16.9/22.5 | License — license file present, not a recognized license |
| 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 |
Sustainability & Governance
Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?
56
Maintainer resilience (bus factor)
42At risk
How it's scored
| 9/54 | Bus factor — 1 contributor(s) cover half of all commits |
| 9.8/22.5 | Commit distribution — top contributor authored 56% of commits |
| 13.5/13.5 | Contributor breadth — 37 contributors |
| 10/10 | OpenSSF Scorecard: Contributors — project has 31 contributing companies or organizations |
Inputs used
| bus_factor | 1 |
| contributors_sampled | 37 |
| top_contributor_share | 0.565 |
Issue & PR responsiveness
64Moderate
How it's scored
| 41.8/46.8 | Issue resolution — 89% of issues closed |
| 18.8/38.3 | PR acceptance — 53/108 decided PRs merged |
| 3/15 | OpenSSF Scorecard: Code-Review — Found 6/25 approved changesets -- score normalized to 2 |
Inputs used
| merged_prs | 53 |
| open_issues | 14 |
| closed_issues | 118 |
| issue_closed_ratio | 0.894 |
| closed_unmerged_prs | 55 |
Ownership & stewardship
56Moderate
How it's scored
| 30/30 | Ownership backing — organization-owned |
| 0/20 | Verified domain |
| 9.8/25 | Owner reach — 22 followers of python-babel |
| 16.4/25 | Track record — 3 public repos, account ~10 yr old |
Inputs used
| followers | 22 |
| owner_type | Organization |
| is_verified | — |
| owner_login | python-babel |
| public_repos | 3 |
| account_age_days | 3,967 |
Package maintenance
69Moderate
How it's scored
| 25/25 | Published & resolvable — 1 package(s) on pypi |
| 4/35 | Publish recency — latest publish 1,024 days ago |
| 20/20 | Version history — 18 published versions |
| 20/20 | Not deprecated — active, not deprecated or yanked |
Inputs used
| packages | flask-babel |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 1,024 |
Engineering Quality
Are baseline engineering and documentation practices in place?
61
Engineering practices
48At risk
How it's scored
| 24/24 | CI workflows — 2 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 6 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
80Good
How it's scored
| 30/30 | README |
| 25/25 | Documentation directory |
| 15/15 | Documentation / homepage site — https://python-babel.github.io/flask-babel/ |
| 10/10 | Repository description |
| 0/10 | Topics |
| 0/10 | Wiki |
Inputs used
| topics | — |
| has_wiki | no |
| homepage | https://python-babel.github.io/flask-babel/ |
| 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?
50
Security posture
37At risk
How it's scored
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — no data |
| 0/2.5 | CI-Tests — 0 out of 6 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 |
| 1.5/7.5 | Code-Review — Found 6/25 approved changesets -- score normalized to 2 |
| 2.5/2.5 | Contributors — project has 31 contributing companies or organizations |
| 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 |
| 2.2/2.5 | License — license file detected |
| 0/7.5 | Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
| 0/5 | Packaging — no data |
| 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 | 15 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 3 |
| scorecard_aggregate | 3.7 |
Excluded from scoring (no data or not applicable): branch_protection, packaging, signed_releases. Remaining weights renormalized.
Dependency advisories
100Excellent
How it's scored
| 35/35 | Direct dependencies free of known advisories — no direct dependency carries a known advisory |
| 25/25 | Indirect dependencies free of known advisories — no indirect dependency carries a known advisory |
| 0/40 | No advisories left outstanding — no advisory carries a publication date |
Inputs used
| source | osv |
| advisories | 0 |
| affected_packages | 0 |
| assessed_packages | 9 |
| unassessed_packages | 0 |
| affected_by_severity | none |
| direct_affected_packages | 0 |
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:flask-babel@4.0.0 runtime dependency closure — what installing the published package pulls in — 9 packages. Reachability is not analyzed.
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.
34
Agent context & guidance
16Critical
How it's scored
| 0/45 | Agent instructions — no CLAUDE.md / AGENTS.md / editor rules |
| 0/15 | Machine-readable docs (llms.txt) |
| 16.5/40 | Legible commit history — 31 of 100 human commits state their intent (structured subject or explanatory body) |
Inputs used
| has_llms_txt | no |
| legible_history_share | 0.31 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
How it's scored
| 18/18 | One-command bootstrap — docs/Makefile |
| 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 | docs/Makefile |
| 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 — 0/10 source files over 60KB |
Inputs used
| primary_language | Python |
| largest_source_bytes | 26,718 |
| source_files_sampled | 10 |
| oversized_source_files | 0 |
Key facts
451GitHub stars
37contributors
0commits, last 12 months
713days since last push
6releases
1bus factor
14open issues
PyPIpackage ecosystems
More detail
Star and fork history 451 ★ / 163 ⇿
451Stars
163Forks
6Releases
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 4Minor 1Patch 1
Each point covers 15 days.
OpenSSF Scorecard 3.7 / 10
3.7aggregate
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 |
| n/a | Branch-Protection | internal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md |
| 0 | CI-Tests | 0 out of 6 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 |
| 2 | Code-Review | Found 6/25 approved changesets -- score normalized to 2 |
| 10 | Contributors | project has 31 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 0 | Dependency-Update-Tool | no update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 9 | License | license file detected |
| 0 | Maintained | 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
| n/a | Packaging | packaging workflow not 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 |
Direct dependencies 4
| Registry | Package | Version constraint | Manifest |
|---|---|---|---|
| PyPI | pytz | >=2022.7 | pyproject.toml |
| PyPI | Flask | >=2.0 | pyproject.toml |
| PyPI | Babel | >=2.12 | pyproject.toml |
| PyPI | Jinja2 | >=3.1 | pyproject.toml |
All dependencies 4
Full resolved dependency set from the GitHub dependency graph: 4 direct and 0 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
| Registry | Package | Version | Relation |
|---|---|---|---|
| PyPI | babel | — | direct |
| PyPI | flask | — | direct |
| PyPI | jinja2 | — | direct |
| PyPI | pytz | — | direct |
Dependency advisories 0
Installing pypi:flask-babel@4.0.0 pulls in 9 packages, direct and transitive: 0 carry known advisories, of which 0 are direct dependencies.
No known advisories affect the assessed dependencies.
An advisory means the version recorded in the dependency graph falls inside an advisory’s affected range. Reachability is not analysed, and the graph includes development and test pins — a finding may concern tooling rather than shipped software.
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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{
"key": "governance",
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"components": [
{
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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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{
"key": "pr_acceptance",
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{
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{
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{
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{
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{
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"points": 16.4,
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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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{
"key": "fuzzing",
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{
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{
"key": "maintained",
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{
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{
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{
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{
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]
},
{
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"notes": [
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},
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"code": "advisories_reachability",
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},
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]
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"notes": [],
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"inputs": {
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{
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"notes": [
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],
"value": 100,
"inputs": {
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},
"components": [
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"code": "jurisdiction_no_match",
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],
"max_points": 100
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]
}
],
"description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
},
{
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"name": "AI Readiness",
"value": 34,
"weight": 0,
"metrics": [
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"key": "ai_agent_context",
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"inputs": {
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"components": [
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"status": "missed",
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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."
}
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}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 v0.26.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics — PyPI.