Public record
Software health reportschema 0.30.0 · metrics 2.10.0 · 2026-08-04 18:03 UTC

pallets / jinja

A very fast and expressive template engine.

PythonBSD-3-Clause★ 11,718 stars⑂ 1,788 forkssince Oct 2010View on GitHub ↗

pallets/jinja holds a health index of 34 out of 100, placing it in the At Risk band. It scores highest on Community & Adoption (95/100) and lowest on Vitality (26/100). It was last updated 415 days ago. A single contributor accounts for most of its recent work.

34
overall / 100
At Risk

Software health index

Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean, calibrated against the distribution of the public record so bands carry percentile meaning; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At Risk ceiling of 34.

34
Exceptional93-100The record's top tier (≈ top 5%); essentially all checked criteria met
Excellent80-92Strong across the board; minor gaps
Good65-79Healthy; gaps are limited and manageable
Moderate50-64Acceptable with notable gaps; review recommended
Weak35-49Material weaknesses across several areas
At Risk20-34Significant weaknesses; adoption warrants caution
Critical1-19Severe problems (abandoned, single-maintainer, no hygiene)
VitalityCommunity &AdoptionSustainability &GovernanceEngineeringQualitySecurityAI Readiness

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.

The weighted overall 66 is calibrated to 77 on the published index scale (record calibration 2026-08-02).

Ownership

PalletsOrganization
2,475 followers17 public repossince Jan 2016

This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIJinja23.1.6-52516 days ago

Metrics by category

Vitality

Is the project alive — is code being written and are releases shipping?

26At Risk · 21% of overall
How it's scored
0/36Push recencylast push 415 days ago
0/36Commit cadence0/52 weeks with commits
0/18Commit volume0 commits in the last year
5/10OpenSSF Scorecard: Maintained0 commit(s) and 6 issue activity found in the last 90 days -- score normalized to 5
Inputs used
commits_last_year0
human_commit_share1
days_since_last_push415
active_weeks_last_year0
How it's scored
27/27Ships releases21 releases published
7.2/36Release recencylatest release 516 days ago
12.6/27Release cadencea release every ~154.1 days
10/10OpenSSF Scorecard: Signed-Releases4 out of the last 4 releases have a total of 4 signed artifacts.
Inputs used
releases_count21
latest_release_tag3.1.6
releases_from_tagsno
days_since_latest_release516
mean_days_between_releases154.1

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

95Exceptional · 17% of overall
How it's scored
60/60Stars11,718 stars
25/25Forks1,788 forks
13.3/15Watchers249 watchers
Inputs used
forks1,788
stars11,718
watchers249
growth_stateorganic
growth_factor_pct100

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (BSD-3-Clause)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_services
has_pull_request_templateyes

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

67Good · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
11/22.5Commit distributiontop contributor authored 51% of commits
13.5/13.5Contributor breadth97 contributors
10/10OpenSSF Scorecard: Contributorsproject has 95 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled97
top_contributor_share0.51
How it's scored
39/42Issue resolution93% of issues closed
19/30PR acceptance644/1,018 decided PRs merged
0/13Newcomer PR acceptance0/13 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-ReviewFound 1/18 approved changesets -- score normalized to 0
Inputs used
merged_prs644
open_issues77
closed_issues1,013
prs_merged_7d0
prs_decided_7d3
prs_merged_30d0
prs_decided_30d17
issue_closed_ratio0.929
closed_unmerged_prs374
first_time_authors_30d12
first_time_prs_merged_30d0
first_time_prs_decided_30d13
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domainverified-domain status not read for this organization
24.4/25Owner reach2,475 followers of pallets
21.1/25Track record17 public repos, account ~10 yr old
Inputs used
followers2,475
owner_typeOrganization
is_verified
owner_loginpallets
public_repos17
account_age_days3,851
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.
How it's scored
25/25Published & resolvable1 package(s) on pypi
14/35Publish recencylatest publish 516 days ago
20/20Version history52 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesJinja2
ecosystemspypi
any_deprecatedno
min_days_since_publish516

Engineering Quality

Are baseline engineering and documentation practices in place?

84Excellent · 19% of overall
How it's scored
24/24CI workflows4 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
6.4/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests0 out of 9 merged PRs checked by a CI test -- score normalized to 0
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configyes

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://jinja.palletsprojects.com
10/10Repository description
10/10Topics6 topics
0/10Wiki
Inputs used
topicspython, template-engine, jinja, jinja2, templates, pallets
has_wikino
homepagehttps://jinja.palletsprojects.com
docs_sitehttps://jinja.palletsprojects.com
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?

66Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
2.2/7.5Branch-Protectionbranch protection is not maximal on development and all release branches
0/2.5CI-Tests0 out of 9 merged PRs checked by a CI test -- score normalized to 0
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0/7.5Code-ReviewFound 1/18 approved changesets -- score normalized to 0
2.5/2.5Contributorsproject has 95 contributing companies or organizations
10/10Dangerous-Workflowno dangerous workflow patterns detected
7.5/7.5Dependency-Update-Toolupdate tool detected
5/5Fuzzingproject is fuzzed
2.5/2.5Licenselicense file detected
3.8/7.5Maintained0 commit(s) and 6 issue activity found in the last 90 days -- score normalized to 5
0/5Packagingno data
4/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 8
0/5SASTSAST tool is not run on all commits -- score normalized to 0
4.5/5Security-Policysecurity policy file detected
7.5/7.5Signed-Releases4 out of the last 4 releases have a total of 4 signed artifacts.
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities27 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5.7
Excluded from scoring (no data or not applicable): Packaging. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisoriesno direct dependency carries a known advisory
25/25Indirect dependencies free of known advisoriesno indirect dependency carries a known advisory
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages1
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:Jinja2@3.1.6 runtime dependency closure — what installing the published package pulls in — 1 packages. Reachability is not analyzed.

AI Readiness

How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight (4%): agent tooling is a real maintenance signal, but a repository with none can still reach 100/100.

66Good · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
23.5/40Legible commit history44 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.44
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrapdocs/Makefile
22/22Automated tests
11/11Lint / format config
11/11Static type checkingsrc/jinja2/py.typed
10/10Reproducible environmentdevcontainer, lockfile
0/10Demonstrated agent practiceno agent-authored commits among the last 100
0/8Automated maintenanceno automated dependency updates observed
8/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 8
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontaineryes
has_linter_configyes
typecheck_configssrc/jinja2/py.typed
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
How it's scored
27/45Type-checkable codePython with type-check config (src/jinja2/py.typed)
53.2/55Manageable file sizes2/60 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes73,918
source_files_sampled60
oversized_source_files2
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)not applicable to this kind of software
0/20MCP servernot applicable to this kind of software
40/40Runnable examplesexamples
Inputs used
example_dirsexamples
has_mcp_signalno
api_schema_files
interfaces_expected_of
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto), MCP server. Remaining weights renormalized.

Key facts

11,718GitHub stars
97contributors
0commits, last 12 months
415days since last push
21releases
1bus factor
77open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Star history carried forward from 2026-07-21: GitHub restricted the stargazers API to repository admins, so it can no longer be collected. The repository has 11718 stars today.
  • First-time contributor figures cover 12 of 16 authors (cap 12)

More detail

Star and fork history 11,694 ★ / 1,788 ⇿
11,694Stars
1,788Forks
20Releases

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.

Only the most recent history is shown — this repository exceeds the collection window, so the earliest history is not captured.

Star history is shown as collected on 2026-07-21. GitHub restricted the stargazers API to repository administrators in July 2026, so this series can no longer be extended; the current star total above remains live.

02,0004,0006,0008,00010,00012,00011,6941,788312018-022022-042026-07
Major 1Minor 2Patch 15

Each point covers 8 days.

OpenSSF Scorecard 5.7 / 10
5.7aggregate

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).Scorecard v5.5.0 · 2026-08-04 18:02 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
0CI-Tests0 out of 9 merged PRs checked by a CI test -- score normalized to 0
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 1/18 approved changesets -- score normalized to 0
10Contributorsproject has 95 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
10Fuzzingproject is fuzzed
10Licenselicense file detected
5Maintained0 commit(s) and 6 issue activity found in the last 90 days -- score normalized to 5
n/aPackagingpackaging workflow not detected
8Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 8
0SASTSAST tool is not run on all commits -- score normalized to 0
9Security-Policysecurity policy file detected
10Signed-Releases4 out of the last 4 releases have a total of 4 signed artifacts.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities27 existing vulnerabilities detected
Direct dependencies 1
RegistryPackageVersion constraintManifest
PyPIMarkupSafe>=3.0pyproject.toml
All dependencies 1

Full resolved dependency set from the GitHub dependency graph: 1 direct and 0 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPImarkupsafedirect
Dependency advisories 0

Installing pypi:Jinja2@3.1.6 pulls in 1 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

Feedback

Spotted something off in this report, or have thoughts to share? Wrong measurements, missed tooling, ideas, questions — anything is welcome. Every message is read and gets a response.

The message is kept through sign-in.

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 v2.10.0, schema v0.30.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statisticsPyPI.