Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-22 18:58 UTC

GongJr0 / SymbolicDSGE

A first and second-order DSGE engine with a fully symbolic and modifiable model backend. Includes estimation, monte carlo pipeline costruction, and regression-based equation augmentation capabilities

Python · CMIT★ 2 stars⑂ 0 forkssince Dec 2025View on GitHub ↗
KindCommand-line toolLibraryhow this is determined
#dsge#dsge-solution#dynamic-programming#econometrics#genetic-programming#rational-expectations-equilibrium#symbolic-computation#symbolic-regression

GongJr0/SymbolicDSGE holds a health index of 77 out of 100, placing it in the Good band. It scores highest on Engineering Quality (96/100) and lowest on Community & Adoption (39/100). It was last updated today. A single contributor accounts for most of its recent work.

77
overall / 100
Good

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.

77
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

Güney KıymaçPersonal account
5 followers25 public repossince Mar 2022

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPISymbolicDSGE1.4.32,6983753 days agodsgesymbolicmeasurement-augmentationmisspecificationmodel-diagnosticskalman-filterfunction-discoverymonte-carlo

Metrics by category

Vitality

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

88Excellent · 21% of overall

Development activity

87Excellent
How it's scored
36/36Push recency — last push 0 days ago
22.8/36Commit cadence — 33/52 weeks with commits
18/18Commit volume — 1,162 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 30 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year1,162
human_commit_share0.94
days_since_last_push0
active_weeks_last_year33

Release discipline

90Excellent
How it's scored
27/27Ships releases — 36 releases published
36/36Release recency — latest release 6 days ago
27/27Release cadence — a release every ~6.7 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count36
latest_release_tagv2.0.0.dev8
releases_from_tagsno
days_since_latest_release6
mean_days_between_releases6.7

Community & Adoption

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

39Weak · 17% of overall

Popularity & adoption

1Critical
How it's scored
0/60Stars — 2 stars
0/25Forks — 0 forks
0/15Watchers — 0 watchers
Inputs used
forks0
stars2
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

70Good
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges1
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

57Moderate
How it's scored
45.7/80Monthly downloads — 2,698 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesSymbolicDSGE
dependents—
ecosystemspypi
total_downloads—
monthly_downloads2,698
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?

54Moderate · 23% of overall

Maintainer resilience (bus factor)

10Critical
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0/22.5Commit distribution — top contributor authored 100% of commits
1.4/13.5Contributor breadth — 1 contributors
0/10OpenSSF Scorecard: Contributors — project has 0 contributing companies or organizations -- score normalized to 0
Inputs used
bus_factor1
contributors_sampled1
top_contributor_share1

Issue & PR responsiveness

79Good
How it's scored
40.3/42Issue resolution — 96% of issues closed
28.8/30PR acceptance — 207/216 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/4 approved changesets -- score normalized to 0
Inputs used
merged_prs207
open_issues9
closed_issues213
prs_merged_7d9
prs_decided_7d9
prs_merged_30d46
prs_decided_30d46
issue_closed_ratio0.959
closed_unmerged_prs9
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

43Weak
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
5.6/25Owner reach — 5 followers of GongJr0
19.1/25Track record — 25 public repos, account ~4 yr old
Inputs used
followers5
owner_typeUser
is_verified—
owner_loginGongJr0
public_repos25
account_age_days1,613
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 53 days ago
20/20Version history — 37 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesSymbolicDSGE
ecosystemspypi
any_deprecatedno
min_days_since_publish53

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 5 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 7 out of 7 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://gongjr0.github.io/SymbolicDSGE/
10/10Repository description
10/10Topics — 8 topics
10/10Wiki
Inputs used
topicsdsge, dsge-solution, dynamic-programming, econometrics, genetic-programming, rational-expectations-equilibrium, symbolic-computation, symbolic-regression
has_wikiyes
homepagehttps://gongjr0.github.io/SymbolicDSGE/
docs_sitehttps://gongjr0.github.io/SymbolicDSGE/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

50Moderate · 16% of overall

Security posture

38Weak
How it's scored
6.8/7.5Binary-Artifacts — binaries present in source code
2.2/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 7 out of 7 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
0/7.5Code-Review — Found 0/4 approved changesets -- score normalized to 0
0/2.5Contributors — project has 0 contributing companies or organizations -- score normalized to 0
0/10Dangerous-Workflow — dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 30 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
1/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 2
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 — Project has not signed or included provenance with any releases.
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
0/7.5Vulnerabilities — 24 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate3.8
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 advisories — no direct dependency carries a known advisory
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages22
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:SymbolicDSGE@1.4.3 runtime dependency closure — what installing the published package pulls in — 22 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.

64Moderate · 4% of overall

Agent context & guidance

38Weak
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
38/40Legible commit history — 67 of 94 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.713
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

64Moderate
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config
11/11Static type checking — SymbolicDSGE/py.typed, mypy.ini, sdsge-ui/frontend/tsconfig.json
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 6 of the last 100 commits are automated dependency updates
2/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 2
Inputs used
has_nixno
has_testsyes
lockfilespackage-lock.json, uv.lock
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configsSymbolicDSGE/py.typed, mypy.ini, sdsge-ui/frontend/tsconfig.json
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.06

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (SymbolicDSGE/py.typed, mypy.ini, sdsge-ui/frontend/tsconfig.json)
54.7/55Manageable file sizes — 3/515 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes128,946
source_files_sampled515
oversized_source_files3

Machine-readable interfaces

100Exceptional
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
0/20MCP server — not applicable to this kind of software
40/40Runnable examples — notebooks
Inputs used
example_dirsnotebooks
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

2GitHub stars
1contributors
1,162commits, last 12 months
0days since last push
36releases
1bus factor
9open issues
PyPIpackage ecosystems

Data collection warnings

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

More detail

OpenSSF Scorecard 3.8 / 10
3.8aggregate

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 · 2026-08-22 18:58 UTC

9Binary-Artifactsbinaries present in source code
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests7 out of 7 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/4 approved changesets -- score normalized to 0
0Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
0Dangerous-Workflowdangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 30 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
2Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 2
0SASTSAST tool is not run on all commits -- score normalized to 0
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
0Vulnerabilities24 existing vulnerabilities detected
Direct dependencies 11
RegistryPackageVersion constraintManifest
PyPIcloudpickle>=3.1.2pyproject.toml
PyPImatplotlib>=3.11.1pyproject.toml
PyPInumba>=0.62.1,!=0.66.0pyproject.toml
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PyPIscipy>=1.16.3pyproject.toml
PyPIstatsmodels>=0.14.6pyproject.toml
PyPIsympy>=1.14.0pyproject.toml
All dependencies 387

Full resolved dependency set from the GitHub dependency graph: 13 direct and 374 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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PyPIexecuting2.2.1indirect
PyPIfastapi0.141.1indirect
PyPIfastjsonschema2.22.2indirect
PyPIfilelock3.32.3indirect
PyPIfonttools4.63.0indirect
PyPIfqdn1.5.1indirect
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PyPIghp-import2.1.0indirect
PyPIh110.16.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpcore22.12.0indirect
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PyPIhttpx2-jsfetch1.0indirect
PyPIidentify2.6.19indirect
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PyPIipykernel7.3.0indirect
PyPIipython9.16.1indirect
PyPIipython-pygments-lexers1.1.1indirect
PyPIipywidgets8.1.8indirect
PyPIisoduration20.11.0indirect
PyPIjedi0.20.0indirect
PyPIjinja23.1.6indirect
PyPIjoblib1.5.3indirect
PyPIjson50.15.0indirect
PyPIjsonpointer3.1.1indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIjuliacall0.9.26indirect
PyPIjuliapkg0.1.26indirect
PyPIjupyter1.1.1indirect
PyPIjupyter-builder1.2.2indirect
PyPIjupyter-client8.9.1indirect
PyPIjupyter-console6.6.3indirect
PyPIjupyter-core5.9.1indirect
PyPIjupyter-events0.12.1indirect
PyPIjupyter-lsp2.3.1indirect
PyPIjupyter-server2.20.0indirect
PyPIjupyter-server-terminals0.5.4indirect
PyPIjupyterlab4.6.3indirect
PyPIjupyterlab-execute-time3.3.0indirect
PyPIjupyterlab-pygments0.3.0indirect
PyPIjupyterlab-server2.28.0indirect
PyPIjupyterlab-widgets3.0.16indirect
PyPIjupytext1.19.5indirect
PyPIkiwisolver1.5.0indirect
PyPIlark1.3.1indirect
PyPIlibrt0.15.0indirect
PyPIllvmlite0.49.0indirect
PyPImarkdown3.10.3indirect
PyPImarkdown-it-py4.2.0indirect
PyPImarkupsafe3.0.3indirect
PyPImatplotlib-inline0.2.2indirect
PyPImatplotlib-stubs0.3.11indirect
PyPImdit-py-plugins0.6.1indirect
PyPImdurl0.1.2indirect
PyPImergedeep1.3.4indirect
PyPImike2.2.0indirect
PyPImistune3.3.4indirect
PyPImkdocs1.6.1indirect
PyPImkdocs-charts-plugin0.0.13indirect
PyPImkdocs-get-deps0.2.2indirect
PyPImkdocs-material9.7.7indirect
PyPImkdocs-material-extensions1.3.1indirect
PyPImpmath1.3.0indirect
PyPImypy2.3.1indirect
PyPImypy-extensions1.1.0indirect
PyPInarwhals2.24.0indirect
PyPInbclient0.11.0indirect
PyPInbconvert7.17.1indirect
PyPInbformat5.11.0indirect
PyPInest-asyncio21.7.2indirect
PyPInodeenv1.10.0indirect
PyPInotebook7.6.2indirect
PyPInotebook-shim0.2.4indirect
PyPInumpy-typing-compat20251206.2.4indirect
PyPInumpy-typing-compat20260602.2.5indirect
PyPIoptype0.17.1indirect
PyPIoptype0.18.0indirect
PyPIoverrides7.7.0indirect
PyPIpackaging26.3indirect
PyPIpaginate0.5.7indirect
PyPIpandas-stubs3.0.5.260730indirect
PyPIpandocfilters1.5.1indirect
PyPIparso0.8.7indirect
PyPIpathspec1.1.1indirect
PyPIpatsy1.0.2indirect
PyPIpexpect4.9.0indirect
PyPIpillow12.3.0indirect
PyPIpip26.2.1indirect
PyPIplatformdirs4.11.3indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit4.6.2indirect
PyPIprometheus-client0.26.0indirect
PyPIprompt-toolkit3.0.53indirect
PyPIptyprocess0.7.0indirect
PyPIpure-eval0.2.3indirect
PyPIpycodestyle2.14.0indirect
PyPIpycparser3.0indirect
PyPIpydantic2.13.4indirect
PyPIpydantic-core2.46.4indirect
PyPIpygments2.20.0indirect
PyPIpymdown-extensions11.0.1indirect
PyPIpyparsing3.3.2indirect
PyPIpysr1.5.10indirect
PyPIpytest9.1.1indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-discovery1.5.2indirect
PyPIpython-dotenv1.2.3indirect
PyPIpython-json-logger4.2.0indirect
PyPIpytokens0.4.1indirect
PyPIpywinpty3.0.5indirect
PyPIpyyaml-env-tag1.1indirect
PyPIpyzmq27.1.0indirect
PyPIreferencing0.37.0indirect
PyPIrequests2.34.2indirect
PyPIrfc3339-validator0.1.4indirect
PyPIrfc3986-validator0.1.1indirect
PyPIrfc3987-syntax1.1.0indirect
PyPIrpds-py2026.6.3indirect
PyPIscikit-learn1.9.0indirect
PyPIscipy-stubs1.17.1.5indirect
PyPIscipy-stubs1.18.0.1indirect
PyPIsemver3.0.4indirect
PyPIsend2trash2.1.0indirect
PyPIsetuptools84.0.0indirect
PyPIsix1.17.0indirect
PyPIsoupsieve2.9.2indirect
PyPIstack-data0.6.3indirect
PyPIstarlette1.6.0indirect
PyPIsymbolicdsge2.0.0.dev8indirect
PyPItabulate0.10.0indirect
PyPIterminado0.18.1indirect
PyPIthreadpoolctl3.6.0indirect
PyPItinycss21.5.1indirect
PyPItokenize-rt6.2.0indirect
PyPItomli2.4.1indirect
PyPItomlkit0.15.1indirect
PyPItornado6.5.8indirect
PyPItraitlets5.16.1indirect
PyPItruststore0.10.4indirect
PyPItypes-pyyaml6.0.12.20260815indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.4indirect
PyPItzdata2026.3indirect
PyPIuri-template1.3.0indirect
PyPIurllib32.7.0indirect
PyPIuvicorn0.52.3indirect
PyPIuvloop0.22.1indirect
PyPIverspec0.1.0indirect
PyPIvirtualenv21.7.4indirect
PyPIwatchdog6.0.0indirect
PyPIwatchfiles1.2.0indirect
PyPIwcwidth0.8.2indirect
PyPIwebcolors25.10.0indirect
PyPIwebencodings0.6.1indirect
PyPIwebsocket-client1.9.0indirect
PyPIwebsockets17.0.1indirect
PyPIwidgetsnbextension4.0.15indirect
Dependency advisories 0

Installing pypi:SymbolicDSGE@1.4.3 pulls in 22 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.

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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 v0.34.0 — full methodology · metrics wiki.

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