Public recordModerate
Software health reportschema 0.26.0 · metrics 1.13.0 · 2026-07-22 01:24 UTC
tlsfuzzer / python-ecdsa
pure-python ECDSA signature/verification and ECDH key agreement
tlsfuzzer/python-ecdsa holds a health index of 68 out of 100, placing it in the Moderate band. It scores highest on Engineering Quality (82/100) and lowest on AI Readiness (41/100). It was last updated 43 days ago. A single contributor accounts for most of its recent work.
68
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.
68
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
tlsfuzzerOrganization
31 followers4 public repossince Nov 2020
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 | ecdsa | 0.19.2 | 57,501,834 | 23 | 117 days ago |
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
52
Development activity
38At risk
How it's scored
| 18/36 | Push recency — last push 43 days ago |
| 4.8/36 | Commit cadence — 7/52 weeks with commits |
| 11.3/18 | Commit volume — 17 commits in the last year |
| 0/10 | OpenSSF Scorecard: Maintained — no data |
Inputs used
| commits_last_year | 17 |
| human_commit_share | 1 |
| days_since_last_push | 43 |
| active_weeks_last_year | 7 |
Release discipline
74Good
How it's scored
| 27/27 | Ships releases — 17 releases published |
| 27/36 | Release recency — latest release 117 days ago |
| 12.6/27 | Release cadence — a release every ~252.7 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — no data |
Inputs used
| releases_count | 17 |
| latest_release_tag | python-ecdsa-0.19.2 |
| releases_from_tags | no |
| days_since_latest_release | 117 |
| mean_days_between_releases | 252.7 |
Community & Adoption
Does the project have users, downloads, attention, and a welcoming setup for contributors?
72
Popularity & adoption
79Good
How it's scored
| 48.5/60 | Stars — 976 stars |
| 21.1/25 | Forks — 340 forks |
| 9.3/15 | Watchers — 49 watchers |
Inputs used
| forks | 340 |
| stars | 976 |
| watchers | 49 |
| 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 |
Ecosystem adoption (downloads)
100Excellent
How it's scored
| 80/80 | Monthly downloads — 57,501,834 downloads/month across pypi |
| 0/20 | Registry dependents — not reported by this ecosystem |
Inputs used
| packages | ecdsa |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 57,501,834 |
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?
66
Maintainer resilience (bus factor)
31At risk
How it's scored
| 9/54 | Bus factor — 1 contributor(s) cover half of all commits |
| 5.7/22.5 | Commit distribution — top contributor authored 75% of commits |
| 13.5/13.5 | Contributor breadth — 47 contributors |
| 0/10 | OpenSSF Scorecard: Contributors — no data |
Inputs used
| bus_factor | 1 |
| contributors_sampled | 47 |
| top_contributor_share | 0.746 |
Issue & PR responsiveness
88Excellent
How it's scored
| 42.4/46.8 | Issue resolution — 91% of issues closed |
| 32.6/38.3 | PR acceptance — 168/197 decided PRs merged |
| 0/15 | OpenSSF Scorecard: Code-Review — no data |
Inputs used
| merged_prs | 168 |
| open_issues | 15 |
| closed_issues | 147 |
| issue_closed_ratio | 0.907 |
| closed_unmerged_prs | 29 |
Ownership & stewardship
57Moderate
How it's scored
| 30/30 | Ownership backing — organization-owned |
| 0/20 | Verified domain |
| 10.8/25 | Owner reach — 31 followers of tlsfuzzer |
| 16.4/25 | Track record — 4 public repos, account ~5 yr old |
Inputs used
| followers | 31 |
| owner_type | Organization |
| is_verified | — |
| owner_login | tlsfuzzer |
| public_repos | 4 |
| account_age_days | 2,073 |
Package maintenance
100Excellent
How it's scored
| 25/25 | Published & resolvable — 1 package(s) on pypi |
| 35/35 | Publish recency — latest publish 117 days ago |
| 20/20 | Version history — 23 published versions |
| 20/20 | Not deprecated — active, not deprecated or yanked |
Inputs used
| packages | ecdsa |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 117 |
Engineering Quality
Are baseline engineering and documentation practices in place?
82
Engineering practices
80Good
How it's scored
| 24/24 | CI workflows — 2 workflow(s) |
| 24/24 | Tests present |
| 16/16 | Linter config — tox.ini |
| 0/9.6 | 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 | no |
Documentation
85Excellent
How it's scored
| 30/30 | README |
| 25/25 | Documentation directory |
| 0/15 | Documentation / homepage site |
| 10/10 | Repository description |
| 10/10 | Topics — 6 topics |
| 10/10 | Wiki |
Inputs used
| topics | python, elliptic-curves, cryptography, digital-signatures, ecdsa, ecdh |
| has_wiki | yes |
| homepage | — |
| 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?
74
Security posture
67Moderate
How it's scored
| 30/30 | Security policy (SECURITY.md) |
| 0/25 | Dependabot config |
| 0/25 | Dependency lockfiles — published library — lockfiles are an application concern, not expected |
| 20/20 | CodeQL workflow |
Inputs used
| source | file_signals |
| lockfiles | — |
| manifests | docs/requirements.txt, requirements.txt, setup.cfg, setup.py |
| has_codeql_workflow | yes |
| has_security_policy | yes |
| has_dependabot_config | no |
Excluded from scoring (no data or not applicable): Dependency lockfiles. 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 | 1 |
| 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:ecdsa@0.19.2 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? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score.
41
Agent context & guidance
14Critical
How it's scored
| 0/45 | Agent instructions — no CLAUDE.md / AGENTS.md / editor rules |
| 0/15 | Machine-readable docs (llms.txt) |
| 14.4/40 | Legible commit history — 27 of 100 human commits state their intent (structured subject or explanatory body) |
Inputs used
| has_llms_txt | no |
| legible_history_share | 0.27 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Verify loop (build / test / typecheck)
57Moderate
How it's scored
| 18/18 | One-command bootstrap — docs/Makefile |
| 22/22 | Automated tests |
| 11/11 | Lint / format config — tox.ini |
| 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 — no data |
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 | yes |
| typecheck_configs | — |
| agent_commit_share | 0 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Code legibility for models
50Moderate
How it's scored
| 0/45 | Type-checkable code — Python without a type-check config |
| 50.1/55 | Manageable file sizes — 3/34 source files over 60KB |
Inputs used
| primary_language | Python |
| largest_source_bytes | 91,272 |
| source_files_sampled | 34 |
| oversized_source_files | 3 |
Key facts
976GitHub stars
47contributors
17commits, last 12 months
43days since last push
17releases
1bus factor
15open issues
PyPIpackage ecosystems
Data collection warnings
- OpenSSF Scorecard timed out after 240s; skipping Scorecard checks
More detail
Star and fork history 976 ★ / 340 ⇿
976Stars
340Forks
17Releases
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 0Minor 0Patch 0
Each point covers 15 days.
All dependencies 13
Full resolved dependency set from the GitHub dependency graph: 0 direct and 13 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
| Registry | Package | Version | Relation |
|---|---|---|---|
| PyPI | cffi | — | indirect |
| PyPI | coverage | — | indirect |
| PyPI | coveralls | — | indirect |
| PyPI | hypothesis | — | indirect |
| PyPI | idna | — | indirect |
| PyPI | inflect | — | indirect |
| PyPI | mock | 2.0.0 | indirect |
| PyPI | pyopenssl | — | indirect |
| PyPI | pytest | — | indirect |
| PyPI | six | — | indirect |
| PyPI | sphinx-rtd-theme | — | indirect |
| PyPI | tox | — | indirect |
| PyPI | unittest2 | — | indirect |
Dependency advisories 0
Installing pypi:ecdsa@0.19.2 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
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],
"description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
},
{
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{
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},
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},
{
"key": "openssf_scorecard_ci_tests",
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"points": 0,
"status": "excluded",
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"code": "no_data",
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],
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}
]
},
{
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"cryptography",
"digital-signatures",
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},
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},
{
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}
]
}
],
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},
{
"key": "security",
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"value": 74,
"weight": 0.16,
"metrics": [
{
"key": "security_posture",
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"note": "Excluded from scoring (no data or not applicable): Dependency lockfiles. Remaining weights renormalized.",
"notes": [
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{
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},
"components": [
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"points": 30,
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"details": [],
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},
{
"key": "dependabot_config",
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"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "dependency_lockfiles",
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"points": 0,
"status": "excluded",
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}
],
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},
{
"key": "codeql_workflow",
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}
]
},
{
"key": "dependency_advisories",
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"notes": [
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"code": "excluded_no_data",
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}
],
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"direct_affected_packages": 0
},
"components": [
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"key": "direct_dependencies_free_of_known_advisories",
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],
"max_points": 35
},
{
"key": "indirect_dependencies_free_of_known_advisories",
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"detail": "no indirect dependency carries a known advisory",
"points": 25,
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},
{
"key": "no_advisories_left_outstanding",
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"points": 0,
"status": "excluded",
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]
},
{
"key": "malicious_dependencies",
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"name": "Malicious dependencies",
"note": null,
"notes": [],
"value": 100,
"inputs": {
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"red_flag": false,
"assessed_packages": 1,
"malicious_packages": 0,
"direct_malicious_packages": 0,
"withdrawn_malicious_packages": 0,
"installable_malicious_packages": 0
},
"components": [
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}
]
},
{
"key": "high_risk_jurisdiction_exposure",
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"notes": [
{
"code": "jurisdiction_evidence_limits",
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}
],
"value": 100,
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},
"components": [
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"code": "jurisdiction_no_match",
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}
],
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}
]
}
],
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},
{
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},
"components": [
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},
{
"key": "machine_readable_docs_llms_txt",
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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": "demonstrated_agent_practice",
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"key": "openssf_scorecard_pinned_dependencies",
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{
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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": [
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],
"report_type": "repository",
"generated_at": "2026-07-22T01:24:58.824229Z",
"schema_version": "0.26.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/t/tlsfuzzer/python-ecdsa.svg",
"full_name": "tlsfuzzer/python-ecdsa",
"license_state": "custom",
"license_spdx": null
}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.