Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-13 03:25 UTC

anymail / django-anymail

Django email backends and webhooks for Amazon SES, Brevo, MailerSend, Mailgun, Mailjet, Mailtrap, Postmark, Postal, Resend, Scaleway TEM, SendGrid, SparkPost, Unisender Go and more

PythonBSD-3-Clause★ 1,895 stars⑂ 149 forkssince Mar 2016View on GitHub ↗
KindLibraryNetwork servicehow this is determined

anymail/django-anymail holds a health index of 89 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (96/100) and lowest on AI Readiness (42/100). It was last updated 13 days ago. A single contributor accounts for most of its recent work.

89
overall / 100
Excellent

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.

89
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 75 is calibrated to 89 on the published index scale (record calibration 2026-08-02).

Ownership

anymailOrganization
6 followers2 public repossince Feb 2016

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

Package ecosystems

Metrics by category

Vitality

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

70Good · 21% of overall
How it's scored
28.8/36Push recencylast push 13 days ago
7.6/36Commit cadence11/52 weeks with commits
14.4/18Commit volume39 commits in the last year
10/10OpenSSF Scorecard: Maintained15 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year39
human_commit_share1
days_since_last_push13
active_weeks_last_year11
How it's scored
27/27Ships releases66 releases published
36/36Release recencylatest release 13 days ago
19.8/27Release cadencea release every ~85.2 days
0/10OpenSSF Scorecard: Signed-ReleasesProject has not signed or included provenance with any releases.
Inputs used
releases_count66
latest_release_tagv15.1
releases_from_tagsno
days_since_latest_release13
mean_days_between_releases85.2

Community & Adoption

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

84Excellent · 17% of overall
How it's scored
53.2/60Stars1,895 stars
18.1/25Forks149 forks
7.2/15Watchers21 watchers
Inputs used
forks149
stars1,895
watchers21
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (BSD-3-Clause)
18/18CONTRIBUTING guide
0/13.5Code of conduct
7.2/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges3
has_contributingyes
has_issue_templateyes
has_code_of_conductno
readme_badge_servicesgithub.com, readthedocs.org
has_pull_request_templateno
How it's scored
80/80Monthly downloads3,146,226 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagesdjango-anymail
dependents
ecosystemspypi
total_downloads
monthly_downloads3,146,226
unverified_packages_excluded
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?

66Good · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
4.2/22.5Commit distributiontop contributor authored 81% of commits
13.5/13.5Contributor breadth67 contributors
10/10OpenSSF Scorecard: Contributorsproject has 15 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled67
top_contributor_share0.813
How it's scored
40.2/42Issue resolution96% of issues closed
26.3/30PR acceptance163/186 decided PRs merged
6.5/13Newcomer PR acceptance2/4 first-time contributors' PRs merged in 30d
1.5/15OpenSSF Scorecard: Code-ReviewFound 4/23 approved changesets -- score normalized to 1
Inputs used
merged_prs163
open_issues11
closed_issues247
prs_merged_7d0
prs_decided_7d0
prs_merged_30d3
prs_decided_30d5
issue_closed_ratio0.957
closed_unmerged_prs23
first_time_authors_30d3
first_time_prs_merged_30d2
first_time_prs_decided_30d4
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domainverified-domain status not read for this organization
6.1/25Owner reach6 followers of anymail
15.5/25Track record2 public repos, account ~10 yr old
Inputs used
followers6
owner_typeOrganization
is_verified
owner_loginanymail
public_repos2
account_age_days3,819
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 13 days ago
20/20Version history64 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesdjango-anymail
ecosystemspypi
any_deprecatedno
min_days_since_publish13

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall

Engineering practices

100Exceptional
How it's scored
24/24CI workflows3 workflow(s)
24/24Tests present
16/16Linter config.flake8, tox.ini
9.6/9.6Pre-commit hooks
6.4/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests9 out of 9 merged PRs checked by a CI test -- score normalized to 10
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://anymail.dev
10/10Repository description
10/10Topics19 topics
0/10Wiki
Inputs used
topicsdjango, email, mailgun, postmark, sendgrid, sparkpost, mandrill, mailjet, sendinblue, amazon-ses, postal, mailersend, brevo, resend, resend-email, unisender, unisender-go, scaleway, mailtrap
has_wikino
homepagehttps://anymail.dev
docs_sitehttps://anymail.dev
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
2.5/2.5CI-Tests9 out of 9 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0.8/7.5Code-ReviewFound 4/23 approved changesets -- score normalized to 1
2.5/2.5Contributorsproject has 15 contributing companies or organizations
10/10Dangerous-Workflowno dangerous workflow patterns detected
0/7.5Dependency-Update-Toolno update tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
7.5/7.5Maintained15 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packagingpackaging workflow detected
0.5/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 1
3.5/5SASTSAST tool is not run on all commits -- score normalized to 7
0/5Security-Policysecurity policy file not detected
0/7.5Signed-ReleasesProject has not signed or included provenance with any releases.
7.5/7.5Token-PermissionsGitHub workflow tokens follow principle of least privilege
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate5.7

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_packages8
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:django-anymail@15.1 runtime dependency closure — what installing the published package pulls in — 8 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.

42Weak · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
20.8/40Legible commit history39 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.39
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrapdocs/Makefile
22/22Automated tests
11/11Lint / format config.flake8, tox.ini
0/11Static type checking
0/10Reproducible environment
0/10Demonstrated agent practiceno agent-authored commits among the last 100
0/8Automated maintenanceno automated dependency updates observed
1/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 1
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileno
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
How it's scored
0/45Type-checkable codePython without a type-check config
55/55Manageable file sizes0/124 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes54,407
source_files_sampled124
oversized_source_files0

Key facts

1,895GitHub stars
67contributors
39commits, last 12 months
13days since last push
66releases
1bus factor
11open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

More detail

Star and fork history 0 ★ / 149 ⇿
0Stars
149Forks
62Releases

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.

025507510012515014752016-032021-052026-07
Major 0Minor 1Patch 10

Each point covers 10 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 · 2026-08-13 03:24 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests9 out of 9 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1Code-ReviewFound 4/23 approved changesets -- score normalized to 1
10Contributorsproject has 15 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained15 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
1Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 1
7SASTSAST tool is not run on all commits -- score normalized to 7
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 5
RegistryPackageVersion constraintManifest
PyPIdjango>=5.0pyproject.toml
PyPIidnapyproject.toml
PyPIrequests>=2.4.3pyproject.toml
PyPIurllib3>=1.25.0pyproject.toml
PyPItyping_extensions>=4.12pyproject.toml
All dependencies 10

Full resolved dependency set from the GitHub dependency graph: 3 direct and 7 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIdjangodirect
PyPIrequestsdirect
PyPIurllib3direct
PyPIboto3indirect
PyPIpygmentsindirect
PyPIreadme-rendererindirect
PyPIsphinxindirect
PyPIsphinx-rtd-themeindirect
PyPIsphinxcontrib-googleanalyticsindirect
PyPItoxindirect
Dependency advisories 0

Installing pypi:django-anymail@15.1 pulls in 8 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 v0.31.0 — full methodology · metrics wiki.

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