Public record
Software health reportschema 0.17.0 · metrics 1.13.0 · 2026-07-21 07:42 UTC

oscar-system / Oscar.jl

A comprehensive open source computer algebra system for computations in algebra, geometry, and number theory.

JuliaCustom license★ 506 stars⑂ 181 forkssince Sep 2019View on GitHub ↗
#abstract-algebra#computer-algebra#computer-algebra-system#julia#julia-package#math#mathematics#maths

oscar-system/Oscar.jl holds a health index of 78 out of 100, placing it in the Good band. It scores highest on Vitality (97/100) and lowest on AI Readiness (45/100). It was last updated 2 days ago. 6 contributors account for most of its recent work.

78
overall / 100
Good

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.

78
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

OSCAR Computer Algebra SystemOrganization
62 followers49 public repossince Jan 2017

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

Metrics by category

Vitality

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

97Excellent · 22% of overall

Development activity

100Excellent
How it's scored
36/36Push recency — last push 2 days ago
36/36Commit cadence — 52/52 weeks with commits
18/18Commit volume — 705 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 25 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year705
human_commit_share—
days_since_last_push2
active_weeks_last_year52

Release discipline

92Excellent
How it's scored
27/27Ships releases — 51 releases published
36/36Release recency — latest release 6 days ago
19.8/27Release cadence — a release every ~45.6 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count51
latest_release_tagv1.8.0
releases_from_tagsno
days_since_latest_release6
mean_days_between_releases45.6
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?

57Moderate · 18% of overall

Popularity & adoption

69Moderate
How it's scored
43.9/60Stars — 506 stars
18.8/25Forks — 181 forks
6.5/15Watchers — 16 watchers
Inputs used
forks181
stars506
watchers16
growth_stateorganic
growth_factor_pct100

Community health

44At risk
How it's scored
22.5/22.5README
16.9/22.5License — license file present, not a recognized license
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
has_contributingno
has_issue_templateno
has_code_of_conductno
has_pull_request_templateno

Sustainability & Governance

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

82Good · 24% of overall

Maintainer resilience (bus factor)

92Excellent
How it's scored
48.6/54Bus factor — 6 contributor(s) cover half of all commits
19.4/22.5Commit distribution — top contributor authored 14% of commits
13.5/13.5Contributor breadth — 100 contributors
10/10OpenSSF Scorecard: Contributors — project has 40 contributing companies or organizations
Inputs used
bus_factor6
contributors_sampled100
top_contributor_share0.137

Issue & PR responsiveness

86Excellent
How it's scored
38/46.8Issue resolution — 81% of issues closed
35/38.3PR acceptance — 4,150/4,532 decided PRs merged
13.5/15OpenSSF Scorecard: Code-Review — Found 24/26 approved changesets -- score normalized to 9
Inputs used
merged_prs4,150
open_issues276
closed_issues1,192
issue_closed_ratio0.812
closed_unmerged_prs382

Ownership & stewardship

67Moderate
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
12.9/25Owner reach — 62 followers of oscar-system
24.4/25Track record — 49 public repos, account ~9 yr old
Inputs used
followers62
owner_typeOrganization
is_verified—
owner_loginoscar-system
public_repos49
account_age_days3,475

Engineering Quality

Are baseline engineering and documentation practices in place?

84Good · 20% of overall

Engineering practices

74Good
How it's scored
24/24CI workflows — 9 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
6.4/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 29 out of 29 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configno
has_precommit_configno

Documentation

100Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://www.oscar-system.org
10/10Repository description
10/10Topics — 8 topics
10/10Wiki
Inputs used
topicsabstract-algebra, computer-algebra, computer-algebra-system, julia, julia-package, math, mathematics, maths
has_wikiyes
homepagehttps://www.oscar-system.org
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

60Moderate · 16% of overall

Security posture

60Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
1.5/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 29 out of 29 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
6.8/7.5Code-Review — Found 24/26 approved changesets -- score normalized to 9
2.5/2.5Contributors — project has 40 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.2/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 25 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate6
Excluded from scoring (no data or not applicable): packaging, signed_releases. Remaining weights renormalized.

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.

45At risk · 0% of overall

Agent context & guidance

75Good
How it's scored
45/45Agent instructions — AGENTS.md, CLAUDE.md
0/15Machine-readable docs (llms.txt)
0/40Legible commit history — no data
Inputs used
has_llms_txtno
legible_history_share—
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes4,725
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.

Verify loop (build / test / typecheck)

41At risk
How it's scored
0/18One-command bootstrap
22/22Automated tests
0/11Lint / format config
0/11Static type checking
10/10Reproducible environment — devcontainer
0/10Demonstrated agent practice — no data
5/8Automated maintenance — dependency automation configured, none observed in the sampled commits
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontaineryes
has_linter_configno
typecheck_configs—
agent_commit_share—
toolchain_manifests—
dependency_bot_commit_share0
Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.

Code legibility for models

1Critical
How it's scored
0/45Type-checkable code — Julia without a type-check config
0/55Manageable file sizes — no source files detected
Inputs used
primary_languageJulia
largest_source_bytes—
source_files_sampled0
oversized_source_files0
Excluded from scoring (no data or not applicable): Manageable file sizes. Remaining weights renormalized.

Machine-readable interfaces

40At risk
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

506GitHub stars
100contributors
705commits, last 12 months
2days since last push
51releases
6bus factor
276open issues
—package ecosystems

More detail

Star and fork history 506 ★ / 0 ⇿
506Stars

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.

0100200300400500600506172019-102023-022026-07

Each point covers 7 days.

OpenSSF Scorecard 6.0 / 10
6.0aggregate

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 · 2026-07-21 07:41 UTC

10Binary-Artifactsno binaries found in the repo
2Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests29 out of 29 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
9Code-ReviewFound 24/26 approved changesets -- score normalized to 9
10Contributorsproject has 40 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
10Maintained30 commit(s) and 25 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
All dependencies 0

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

RegistryPackageVersionRelation
Dependency advisories not assessed

Advisory matching could not run for this report: No resolved dependencies to assess

Raw JSON report machine-readable
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                "status": "met",
                "details": [
                  {
                    "code": "ci_workflows",
                    "params": {
                      "count": 9
                    }
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                ],
                "max_points": 24
              },
              {
                "key": "tests_present",
                "name": "Tests present",
                "detail": null,
                "points": 24,
                "status": "met",
                "details": [],
                "max_points": 24
              },
              {
                "key": "linter_config",
                "name": "Linter config",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 16
              },
              {
                "key": "pre_commit_hooks",
                "name": "Pre-commit hooks",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 9.6
              },
              {
                "key": "editorconfig",
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                "detail": null,
                "points": 6.4,
                "status": "met",
                "details": [],
                "max_points": 6.4
              },
              {
                "key": "openssf_scorecard_ci_tests",
                "name": "OpenSSF Scorecard: CI-Tests",
                "detail": "29 out of 29 merged PRs checked by a CI test -- score normalized to 10",
                "points": 20,
                "status": "met",
                "details": [],
                "max_points": 20
              }
            ]
          },
          {
            "key": "documentation",
            "band": "excellent",
            "name": "Documentation",
            "note": null,
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            "value": 100,
            "inputs": {
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                "computer-algebra-system",
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                "julia-package",
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              "has_readme": true,
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            },
            "components": [
              {
                "key": "readme",
                "name": "README",
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                "points": 30,
                "status": "met",
                "details": [],
                "max_points": 30
              },
              {
                "key": "documentation_directory",
                "name": "Documentation directory",
                "detail": null,
                "points": 25,
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                "details": [],
                "max_points": 25
              },
              {
                "key": "documentation_homepage_site",
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              },
              {
                "key": "repository_description",
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                "points": 10,
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              },
              {
                "key": "topics",
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                "status": "met",
                "details": [
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              },
              {
                "key": "wiki",
                "name": "Wiki",
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                "points": 10,
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            ]
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        ],
        "description": "Are baseline engineering and documentation practices in place?"
      },
      {
        "key": "security",
        "band": "moderate",
        "name": "Security",
        "value": 60,
        "weight": 0.16,
        "metrics": [
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            "key": "security_posture",
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            "name": "Security posture",
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            "notes": [
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                "params": {
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              "checks_inconclusive": 2,
              "scorecard_aggregate": 6
            },
            "components": [
              {
                "key": "binary_artifacts",
                "name": "Binary-Artifacts",
                "detail": "no binaries found in the repo",
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                "details": [],
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              },
              {
                "key": "branch_protection",
                "name": "Branch-Protection",
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              },
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              },
              {
                "key": "cii_best_practices",
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                "status": "missed",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "code_review",
                "name": "Code-Review",
                "detail": "Found 24/26 approved changesets -- score normalized to 9",
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                "details": [],
                "max_points": 7.5
              },
              {
                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 40 contributing companies or organizations",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "dangerous_workflow",
                "name": "Dangerous-Workflow",
                "detail": "no dangerous workflow patterns detected",
                "points": 10,
                "status": "met",
                "details": [],
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              },
              {
                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
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                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "license",
                "name": "License",
                "detail": "license file detected",
                "points": 2.2,
                "status": "partial",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "30 commit(s) and 25 issue activity found in the last 90 days -- score normalized to 10",
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              },
              {
                "key": "pinned_dependencies",
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                "status": "missed",
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              },
              {
                "key": "sast",
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                "status": "missed",
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              },
              {
                "key": "security_policy",
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              }
            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
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                "Iran",
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                  }
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            "inputs": {
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              "legible_history_share": null,
              "agent_instruction_files": [
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                "key": "agent_instructions",
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                "detail": "AGENTS.md, CLAUDE.md",
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                "status": "met",
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                ],
                "max_points": 45
              },
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                "details": [],
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                    "params": {}
                  }
                ],
                "max_points": 40
              }
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          },
          {
            "key": "ai_verify_loop",
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            "name": "Verify loop (build / test / typecheck)",
            "note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
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                  "components": [
                    "demonstrated_agent_practice"
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                "key": "automated_maintenance",
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            "notes": [],
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            "inputs": {
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              "has_mcp_signal": false,
              "api_schema_files": []
            },
            "components": [
              {
                "key": "api_schema_openapi_graphql_proto",
                "name": "API schema (OpenAPI/GraphQL/proto)",
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                "details": [],
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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": [],
  "report_type": "repository",
  "generated_at": "2026-07-21T07:42:22.328646Z",
  "schema_version": "0.17.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/o/oscar-system/Oscar.jl.svg",
  "full_name": "oscar-system/Oscar.jl",
  "license_state": "custom",
  "license_spdx": null
}

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73nemocas/abstractalgebra.jlGeneric abstract algebra functionality in pure Julia (no C dependencies)Good86networkx/networkxNetwork Analysis in PythonExcellent74JuliaSymbolics/Symbolics.jlSymbolic programming for the next generation of numerical softwareGood73passagemath/passagemathGeneral purpose mathematical software system, compatible fork of https://github.com/sagemath/sage supporting modularized installation with pip. Main repository, containing Sage library (src/), modularized pip-installable packages (pkgs/), Sage distribution (build/). Source repo for most packages in https://pypi.org/org/passagemath/Good73ashvardanian/NumKongSIMD-accelerated distances, dot products, matrix ops, geospatial & geometric kernels for 16 numeric types — from 6-bit floats to 64-bit complex — across x86, Arm, RISC-V, and WASM, with bindings for Python, Rust, C, C++, Swift, JS, and Go 📐Good69JuliaGPU/KernelAbstractions.jlHeterogeneous programming in JuliaModerate

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 v0.17.0 — full methodology · metrics wiki.

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