Public record
Software health reportschema 0.25.0 · metrics 1.13.0 · 2026-07-21 23:06 UTC

Aider-AI / aider

aider is AI pair programming in your terminal

PythonApache-2.0★ 47,589 stars⑂ 4,746 forkssince May 2023View on GitHub ↗

Aider-AI/aider holds a health index of 63 out of 100, placing it in the Moderate band. It scores highest on Community & Adoption (88/100) and lowest on Security (10/100). It was last updated 60 days ago. A single contributor accounts for most of its recent work.

63
overall / 100
Moderate

Software 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.

63
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)
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.

Ownership

Aider AIOrganization
794 followers7 public repossince Jun 2024

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIaider-chat0.86.2848,398174159 days ago

Metrics by category

Vitality

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

68Moderate · 22% of overall
How it's scored
18/36Push recency — last push 60 days ago
18.7/36Commit cadence — 27/52 weeks with commits
18/18Commit volume — 182 commits in the last year
0/10OpenSSF Scorecard: Maintained — no data
Inputs used
commits_last_year182
human_commit_share1
days_since_last_push60
active_weeks_last_year27
How it's scored
27/27Ships releases — 93 releases published
16.2/36Release recency — latest release 346 days ago
27/27Release cadence — a release every ~16.5 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count93
latest_release_tagv0.86.0
releases_from_tagsno
days_since_latest_release346
mean_days_between_releases16.5

Community & Adoption

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

88Excellent · 18% of overall
How it's scored
60/60Stars — 47,589 stars
25/25Forks — 4,746 forks
13.4/15Watchers — 254 watchers
Inputs used
forks4,746
stars47,589
watchers254
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonwindow_too_short
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
has_contributingyes
has_issue_templateno
has_code_of_conductno
has_pull_request_templateno
How it's scored
79/80Monthly downloads — 848,398 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesaider-chat
dependents
ecosystemspypi
total_downloads
monthly_downloads848,398
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?

58Moderate · 24% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0.7/22.5Commit distribution — top contributor authored 97% of commits
13.5/13.5Contributor breadth — 100 contributors
0/10OpenSSF Scorecard: Contributors — no data
Inputs used
bus_factor1
contributors_sampled100
top_contributor_share0.97
How it's scored
32.4/46.8Issue resolution — 69% of issues closed
16.1/38.3PR acceptance — 288/683 decided PRs merged
0/15OpenSSF Scorecard: Code-Review — no data
Inputs used
merged_prs288
open_issues1,320
closed_issues2,981
issue_closed_ratio0.693
closed_unmerged_prs395
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
20.9/25Owner reach — 794 followers of Aider-AI
10.8/25Track record — 7 public repos, account ~2 yr old
Inputs used
followers794
owner_typeOrganization
is_verified
owner_loginAider-AI
public_repos7
account_age_days773
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 159 days ago
20/20Version history — 174 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesaider-chat
ecosystemspypi
any_deprecatedno
min_days_since_publish159

Engineering Quality

Are baseline engineering and documentation practices in place?

85Excellent · 20% of overall
How it's scored
24/24CI workflows — 10 workflow(s)
24/24Tests present
16/16Linter config — .flake8
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage site — https://aider.chat/
10/10Repository description
10/10Topics — 13 topics
10/10Wiki
Inputs used
topicschatgpt, cli, command-line, gpt-4, openai, gpt-3, gpt-35-turbo, claude-3, gpt-4o, anthropic, gemini, llama, sonnet
has_wikiyes
homepagehttps://aider.chat/
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

10Critical · 16% of overall
How it's scored
0/30Security policy (SECURITY.md)
0/25Dependabot config
0/25Dependency lockfiles — published library — lockfiles are an application concern, not expected
0/20CodeQL workflow
Inputs used
sourcefile_signals
lockfiles
manifestspyproject.toml, requirements.txt, requirements/requirements-browser.txt, requirements/requirements-dev.txt, requirements/requirements-help.txt, requirements/requirements-playwright.txt
has_codeql_workflowno
has_security_policyno
has_dependabot_configno
Excluded from scoring (no data or not applicable): Dependency lockfiles. Remaining weights renormalized.
How it's scored
2.6/35Direct dependencies free of known advisories — 13 affected: aiohttp 3.13.3 (critical 9.1), gitpython 3.1.46 (critical 9.8), litellm 1.81.10 (critical 9.8), +10 more
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
18.5/40No advisories left outstanding — 7 advisory-carrying package(s) unaddressed past 90 days; oldest published 160 days ago
Inputs used
sourceosv
advisories131
affected_packages13
assessed_packages107
unassessed_packages0
affected_by_severitycritical 4, high 3, moderate 4, low 1, unknown 1
direct_affected_packages13
Matched the pypi:aider-chat@0.86.2 runtime dependency closure — what installing the published package pulls in — 107 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.

61Moderate · 0% of overall
How it's scored
45/45Agent instructions — aider/website/docs/llms/gemini.md
0/15Machine-readable docs (llms.txt)
34.1/40Legible commit history — 64 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
legible_history_share0.64
agent_instruction_filesaider/website/docs/llms/gemini.md
agent_instruction_max_bytes700
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — .flake8
0/11Static type checking
10/10Reproducible environment — Dockerfile
10/10Demonstrated agent practice — 34 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — no data
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileyes
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configyes
typecheck_configs
agent_commit_share0.34
toolchain_manifests
dependency_bot_commit_share0
How it's scored
0/45Type-checkable code — Python without a type-check config
53.4/55Manageable file sizes — 5/175 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes193,531
source_files_sampled175
oversized_source_files5
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
0/20MCP server
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalno
api_schema_files

Key facts

47,589GitHub stars
100contributors
182commits, last 12 months
60days since last push
93releases
1bus factor
1,320open issues
PyPIpackage ecosystems

Data collection warnings

  • Advisory severity resolved for 120 of 131 advisories (lookup cap); the remainder are reported as unknown severity
  • OpenSSF Scorecard did not return a usable result (2026/07/21 23:05:57 Warning: PATs stored in env variables GITHUB_AUTH_TOKEN and GITHUB_TOKEN differ. Scorecard will use the former.); skipping Scorecard checks

More detail

Star and fork history 47,589 ★ / 4,746 ⇿
47,589Stars
4,746Forks

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.

010,00020,00030,00040,00050,00047,5894,746512026-022026-042026-07
All dependencies 210

Full resolved dependency set from the GitHub dependency graph: 0 direct and 210 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIaiohappyeyeballs2.6.1indirect
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PyPIannotated-doc0.0.4indirect
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PyPIbuild1.4.0indirect
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PyPIcertifi2026.2.25indirect
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PyPIcfgv3.5.0indirect
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Dependency advisories 13

Installing pypi:aider-chat@0.86.2 pulls in 107 packages, direct and transitive: 13 carry known advisories, of which 13 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
aiohttp3.13.3directcritical423.14.1
gitpython3.1.46directcritical123.1.52
litellm1.81.10directcritical171.84.0
pillow12.1.1directcritical3112.3.0
click8.3.1directhigh18.3.3
soupsieve2.8.3directhigh42.8.4
starlette0.52.1directhigh101.3.1
diskcache5.6.3directmoderate2
idna3.11.0directmoderate23.15
python-dotenv1.2.1directmoderate21.2.2
requests2.32.5directmoderate22.33.0
pygments2.19.2directlow22.20.0
urllib32.6.3directunknown4

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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          "published_at": "2025-01-20T22:26:59Z"
        },
        {
          "tag": "v0.71.0",
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          "published_at": "2025-01-10T23:02:26Z"
        },
        {
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                  }
                ],
                "max_points": 25
              },
              {
                "key": "watchers",
                "name": "Watchers",
                "detail": "254 watchers",
                "points": 13.4,
                "status": "partial",
                "details": [
                  {
                    "code": "watchers",
                    "params": {
                      "count": 254
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                "max_points": 15
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          },
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            "key": "community_health",
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            "notes": [],
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              "has_contributing": true,
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                "key": "license",
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                "detail": "recognized license (Apache-2.0)",
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                  {
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                "status": "partial",
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                    "code": "issues_closed_share",
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                      "share": 69
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                "max_points": 46.75
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                "key": "pr_acceptance",
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                "detail": "288/683 decided PRs merged",
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                "max_points": 38.25
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                "key": "openssf_scorecard_code_review",
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                "key": "track_record",
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                "key": "published_resolvable",
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                "max_points": 25
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                "max_points": 35
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                "key": "version_history",
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                "key": "not_deprecated",
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                "points": 20,
                "status": "met",
                "details": [
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                "max_points": 20
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          }
        ],
        "description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
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      {
        "key": "engineering",
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        "name": "Engineering Quality",
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        "weight": 0.2,
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            "notes": [],
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                "key": "ci_workflows",
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                "details": [
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                    "code": "ci_workflows",
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                "max_points": 24
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                "key": "tests_present",
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                "key": "linter_config",
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                "key": "pre_commit_hooks",
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                "key": "openssf_scorecard_ci_tests",
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                ],
                "max_points": 20
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            "notes": [],
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            "inputs": {
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                "key": "documentation_directory",
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              },
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            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
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      {
        "key": "security",
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        "name": "Security",
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        "weight": 0.16,
        "metrics": [
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            ],
            "value": 1,
            "inputs": {
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            "key": "dependency_advisories",
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            ],
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                "max_points": 35
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                "max_points": 25
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                "key": "no_advisories_left_outstanding",
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                "status": "partial",
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                "max_points": 40
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          },
          {
            "key": "malicious_dependencies",
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            "notes": [],
            "value": 100,
            "inputs": {
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              "red_flag": false,
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              "direct_malicious_packages": 0,
              "withdrawn_malicious_packages": 0,
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            },
            "components": [
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                "key": "no_dependency_reported_as_a_malicious_package",
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                "status": "met",
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                ],
                "max_points": 100
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            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
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            "notes": [
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                "code": "jurisdiction_evidence_limits",
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            ],
            "value": 100,
            "inputs": {
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              "review_only_matches": 0,
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            "components": [
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                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
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                "status": "met",
                "details": [
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                    "code": "jurisdiction_no_match",
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                ],
                "max_points": 100
              }
            ]
          }
        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
      },
      {
        "key": "ai_readiness",
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        "name": "AI Readiness",
        "value": 61,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "good",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 79,
            "inputs": {
              "has_llms_txt": false,
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              "agent_instruction_max_bytes": 700
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            "components": [
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                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "aider/website/docs/llms/gemini.md",
                "points": 45,
                "status": "met",
                "details": [
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                    "code": "file_list",
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                  }
                ],
                "max_points": 45
              },
              {
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                "points": 34.1,
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              {
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            },
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              },
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              },
              {
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                "points": 40,
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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."
      }
    ],
    "metrics_version": "1.13.0"
  },
  "warnings": [
    "Advisory severity resolved for 120 of 131 advisories (lookup cap); the remainder are reported as unknown severity",
    "OpenSSF Scorecard did not return a usable result (2026/07/21 23:05:57 Warning: PATs stored in env variables GITHUB_AUTH_TOKEN and GITHUB_TOKEN differ. Scorecard will use the former.); skipping Scorecard checks"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-21T23:06:32.802197Z",
  "schema_version": "0.25.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/a/Aider-AI/aider.svg",
  "full_name": "Aider-AI/aider",
  "license_state": "standard",
  "license_spdx": "Apache-2.0"
}

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 v0.25.0 — full methodology · metrics wiki.

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