Public record
Software health reportschema 0.27.0 · metrics 2.5.0 · 2026-07-30 21:07 UTC

synth-laboratories / synth-ai

Synth Python SDK for Managed Research, Research Factory, and GEPA/GELO optimizer workflows.

PythonMIT★ 81 stars⑂ 8 forkssince Sep 2024View on GitHub ↗
KindLibraryCommand-line toolhow this is determined
#gelo#gepa#llm-agents#mcp#managed-research#research-factory

synth-laboratories/synth-ai holds a health index of 62 out of 100, placing it in the Moderate band. It scores highest on Vitality (92/100) and lowest on Community & Adoption (44/100). It was last updated today. A single contributor accounts for most of its recent work.

62
overall / 100
Moderate

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.

62
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 58 is calibrated to 62 on the published index scale (record calibration 2026-08-02).

Ownership

SynthOrganization
21 followers7 public repossince Oct 2024

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIsynth-ai0.18.0-2320 days ago

Metrics by category

Vitality

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

92Excellent · 21% of overall

Development activity

94Exceptional
How it's scored
36/36Push recency — last push 0 days ago
30.5/36Commit cadence — 44/52 weeks with commits
18/18Commit volume — 1,933 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year1,933
human_commit_share1
days_since_last_push0
active_weeks_last_year44

Release discipline

90Excellent
How it's scored
27/27Ships releases — 43 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~0.1 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count43
latest_release_tagv0.18.1.dev596
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases0.1

Community & Adoption

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

44Weak · 17% of overall

Popularity & adoption

38Weak
How it's scored
30.9/60Stars — 81 stars
7/25Forks — 8 forks
0/15Watchers — 1 watchers
Inputs used
forks8
stars81
watchers1
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

50Moderate
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges—
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateno

Sustainability & Governance

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

47Weak · 23% of overall

Maintainer resilience (bus factor)

22At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
4.7/22.5Commit distribution — top contributor authored 79% of commits
2.7/13.5Contributor breadth — 2 contributors
6/10OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6
Inputs used
bus_factor1
contributors_sampled2
top_contributor_share0.79

Issue & PR responsiveness

30At Risk
How it's scored
0/42Issue resolution — 0% of issues closed
26.4/30PR acceptance — 304/345 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/2 approved changesets -- score normalized to 0
Inputs used
merged_prs304
open_issues4
closed_issues0
prs_merged_7d—
prs_decided_7d—
prs_merged_30d—
prs_decided_30d—
issue_closed_ratio0
closed_unmerged_prs41
first_time_authors_30d—
first_time_prs_merged_30d—
first_time_prs_decided_30d—
Excluded from scoring (no data or not applicable): newcomer_pr_acceptance. Remaining weights renormalized.

Ownership & stewardship

50Moderate
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
9.7/25Owner reach — 21 followers of synth-laboratories
10.2/25Track record — 7 public repos, account ~1 yr old
Inputs used
followers21
owner_typeOrganization
is_verified—
owner_loginsynth-laboratories
public_repos7
account_age_days667

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 0 days ago
20/20Version history — 232 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagessynth-ai
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

56Moderate · 19% of overall

Engineering practices

44Weak
How it's scored
24/24CI workflows — 4 workflow(s)
0/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 2 out of 2 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsno
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentation

75Good
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage site — https://docs.usesynth.ai/intro
10/10Repository description
10/10Topics — 6 topics
10/10Wiki
Inputs used
topicsgelo, gepa, llm-agents, mcp, managed-research, research-factory
has_wikiyes
homepagehttps://docs.usesynth.ai/intro
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

47Weak · 16% of overall

Security posture

42Weak
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
2.5/2.5CI-Tests — 2 out of 2 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 0/2 approved changesets -- score normalized to 0
1.5/2.5Contributors — project has 2 contributing companies or organizations -- score normalized to 6
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
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 — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate4.2

Dependency advisories

65Good
How it's scored
14.8/35Direct dependencies free of known advisories — 1 affected: click 8.1.8 (high 7.2)
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
33.9/40No advisories left outstanding — 1 advisory-carrying package(s) unaddressed past 90 days; oldest published 91 days ago
Inputs used
sourceosv
advisories70
affected_packages9
assessed_packages110
unassessed_packages0
affected_by_severitycritical 2, high 3, moderate 3, low 1
direct_affected_packages1
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 110 resolved dependencies against OSV. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. 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.

60Moderate · 4% of overall

Agent context & guidance

85Excellent
How it's scored
45/45Agent instructions — AGENTS.md, synth_ai/cli/AGENTS.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 96 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
legible_history_share0.96
agent_instruction_filesAGENTS.md, synth_ai/cli/AGENTS.md
agent_instruction_max_bytes6,147

Verify loop (build / test / typecheck)

49Weak
How it's scored
18/18One-command bootstrap — Makefile
0/22Automated tests
0/11Lint / format config
11/11Static type checking — synth_ai/py.typed
10/10Reproducible environment — lockfile
10/10Demonstrated agent practice — 35 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsno
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configno
typecheck_configssynth_ai/py.typed
agent_commit_share0.35
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

80Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (synth_ai/py.typed)
53.1/55Manageable file sizes — 8/228 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes217,860
source_files_sampled228
oversized_source_files8

Machine-readable interfaces

20At Risk
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
20/20MCP server
0/40Runnable examples
Inputs used
example_dirs—
has_mcp_signalyes
api_schema_files—

Key facts

81GitHub stars
2contributors
1,933commits, last 12 months
0days since last push
43releases
1bus factor
4open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:synth-ai@0.18.0; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 8 ⇿
0Stars
8Forks
2Releases

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.

2345678822025-092025-112026-02
Major 0Minor 0Patch 1
OpenSSF Scorecard 4.2 / 10
4.2aggregate

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 · 2026-07-30 21:07 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
10CI-Tests2 out of 2 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 0/2 approved changesets -- score normalized to 0
6Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow 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
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 4
RegistryPackageVersion constraintManifest
PyPIpydantic>=2.0.0pyproject.toml
PyPIpynacl>=1.5.0pyproject.toml
PyPIclick>=8.1.7,<8.2pyproject.toml
PyPIhttpx>=0.28.1pyproject.toml
All dependencies 110

Full resolved dependency set from the GitHub dependency graph: 4 direct and 106 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIclick8.1.8direct
PyPIhttpx0.28.1direct
PyPIpydantic2.12.5direct
PyPIpynacl1.6.2direct
PyPIaiohappyeyeballs2.6.1indirect
PyPIaiohttp3.13.3indirect
PyPIaiosignal1.4.0indirect
PyPIannotated-types0.7.0indirect
PyPIansicolors1.1.8indirect
PyPIanyio4.12.1indirect
PyPIappnope0.1.4indirect
PyPIasttokens3.0.1indirect
PyPIattrs25.4.0indirect
PyPIbackports-tarfile1.2.0indirect
PyPIbuild1.4.0indirect
PyPIcertifi2026.1.4indirect
PyPIcffi2.0.0indirect
PyPIcharset-normalizer3.4.4indirect
PyPIcolorama0.4.6indirect
PyPIcomm0.2.3indirect
PyPIcryptography46.0.6indirect
PyPIdebugpy1.8.19indirect
PyPIdecorator5.2.1indirect
PyPIdocutils0.22.4indirect
PyPIentrypoints0.4indirect
PyPIexecnet2.1.2indirect
PyPIexecuting2.2.1indirect
PyPIfastjsonschema2.21.2indirect
PyPIfrozenlist1.8.0indirect
PyPIgriffe2.1.0indirect
PyPIgriffecli2.1.0indirect
PyPIgriffelib2.1.0indirect
PyPIh110.16.0indirect
PyPIhttpcore1.0.9indirect
PyPIid1.6.1indirect
PyPIidna3.11indirect
PyPIimportlib-metadata9.0.0indirect
PyPIiniconfig2.3.0indirect
PyPIipykernel7.1.0indirect
PyPIipython9.9.0indirect
PyPIipython-pygments-lexers1.1.1indirect
PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context6.1.2indirect
PyPIjaraco-functools4.4.0indirect
PyPIjedi0.19.2indirect
PyPIjeepney0.9.0indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIjupyter-client8.8.0indirect
PyPIjupyter-core5.9.1indirect
PyPIkeyring25.7.0indirect
PyPImarkdown-it-py4.0.0indirect
PyPImatplotlib-inline0.2.1indirect
PyPImdurl0.1.2indirect
PyPImdxify0.2.45indirect
PyPImore-itertools11.0.1indirect
PyPImultidict6.7.0indirect
PyPInbclient0.10.4indirect
PyPInbformat5.10.4indirect
PyPInbstripout0.9.0indirect
PyPInest-asyncio1.6.0indirect
PyPInh30.3.4indirect
PyPIpackaging24.2indirect
PyPIpapermill2.6.0indirect
PyPIparso0.8.5indirect
PyPIpexpect4.9.0indirect
PyPIplatformdirs4.5.1indirect
PyPIpluggy1.6.0indirect
PyPIprompt-toolkit3.0.52indirect
PyPIpropcache0.4.1indirect
PyPIpsutil7.2.1indirect
PyPIptyprocess0.7.0indirect
PyPIpure-eval0.2.3indirect
PyPIpycparser3.0indirect
PyPIpydantic-core2.41.5indirect
PyPIpygments2.19.2indirect
PyPIpyproject-hooks1.2.0indirect
PyPIpytest9.0.2indirect
PyPIpytest-asyncio1.3.0indirect
PyPIpytest-timeout2.4.0indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIpyyaml6.0.3indirect
PyPIpyzmq27.1.0indirect
PyPIreadme-renderer44.0indirect
PyPIreferencing0.37.0indirect
PyPIrequests2.32.5indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIresponses0.25.8indirect
PyPIrfc39862.0.0indirect
PyPIrich14.3.3indirect
PyPIrpds-py0.30.0indirect
PyPIruff0.14.13indirect
PyPIsecretstorage3.5.0indirect
PyPIsix1.17.0indirect
PyPIstack-data0.6.3indirect
PyPIsynth-ai0.18.0indirect
PyPItenacity9.1.2indirect
PyPItornado6.5.4indirect
PyPItqdm4.67.1indirect
PyPItraitlets5.14.3indirect
PyPItwine6.2.0indirect
PyPIty0.0.26indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPIurllib32.6.3indirect
PyPIwcwidth0.3.0indirect
PyPIyarl1.22.0indirect
PyPIzipp3.23.0indirect
Dependency advisories 9

This repository publishes no package the index resolves, so its own dependency graph was assessed — 110 packages, which also include development and test pins that never ship: 9 carry known advisories, of which 1 are direct.

PackageVersionRelationSeverityAdvisoriesFixed in
aiohttp3.13.3indirectcritical423.14.1
cryptography46.0.6indirectcritical348.0.1
click8.1.8directhigh18.3.3
tornado6.5.4indirecthigh126.5.7
urllib32.6.3indirecthigh42.7.0
idna3.11indirectmoderate23.15
pytest9.0.2indirectmoderate29.0.3
requests2.32.5indirectmoderate22.33.0
pygments2.19.2indirectlow22.20.0

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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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 v2.5.0, schema v0.27.0 — full methodology · metrics wiki.

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