Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-16 03:13 UTC

Glitni / dlt-saga

Config-driven data ingestion and SCD2 historization framework built on dlt

PythonApache-2.0★ 6 stars⑂ 0 forkssince Apr 2026View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

Glitni/dlt-saga holds a health index of 84 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (92/100) and lowest on Community & Adoption (49/100). It was last updated today. A single contributor accounts for most of its recent work.

84
overall / 100
Excellent

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.

84
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 71 is calibrated to 84 on the published index scale (record calibration 2026-08-02).

Ownership

GlitniOrganization
3 followers2 public repossince Mar 2022

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIdlt-saga0.32.0-5412 days agodltdata-pipelineetlscd2historizationdata-engineeringbigquerydatabricksduckdbazurepipelineconfig-driven

Metrics by category

Vitality

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

86Excellent · 21% of overall

Development activity

77Good
How it's scored
36/36Push recency — last push 0 days ago
13.2/36Commit cadence — 19/52 weeks with commits
18/18Commit volume — 296 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year296
human_commit_share1
days_since_last_push0
active_weeks_last_year19

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 54 releases published
36/36Release recency — latest release 12 days ago
27/27Release cadence — a release every ~5.8 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count54
latest_release_tagv0.32.0
releases_from_tagsno
days_since_latest_release12
mean_days_between_releases5.8
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?

49Weak · 17% of overall

Popularity & adoption

11Critical
How it's scored
11.3/60Stars — 6 stars
0/25Forks — 0 forks
0/15Watchers — 0 watchers
Inputs used
forks0
stars6
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges5
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicescodecov.io, github.com, shields.io
has_pull_request_templateyes

Sustainability & Governance

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

58Moderate · 23% of overall

Maintainer resilience (bus factor)

17Critical
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0.5/22.5Commit distribution — top contributor authored 98% of commits
4.1/13.5Contributor breadth — 3 contributors
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled3
top_contributor_share0.976

Issue & PR responsiveness

83Excellent
How it's scored
42/42Issue resolution — 100% of issues closed
29.9/30PR acceptance — 290/291 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 2/30 approved changesets -- score normalized to 0
Inputs used
merged_prs290
open_issues0
closed_issues190
prs_merged_7d1
prs_decided_7d1
prs_merged_30d11
prs_decided_30d11
issue_closed_ratio1
closed_unmerged_prs1
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

47Weak
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
4.3/25Owner reach — 3 followers of Glitni
12.5/25Track record — 2 public repos, account ~4 yr old
Inputs used
followers3
owner_typeOrganization
is_verifiedno
owner_loginGlitni
public_repos2
account_age_days1,653

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 12 days ago
20/20Version history — 54 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesdlt-saga
ecosystemspypi
any_deprecatedno
min_days_since_publish12

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 4 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 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

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://github.com/Glitni/dlt-saga/wiki
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics—
has_wikiyes
homepage—
docs_sitehttps://github.com/Glitni/dlt-saga/wiki
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

66Good · 16% of overall

Security posture

60Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
6/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 30 out of 30 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 2/30 approved changesets -- score normalized to 0
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
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 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
5/5Pinned-Dependencies — all dependencies are pinned
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
6.8/7.5Vulnerabilities — 1 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate6
Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.

Dependency advisories

90Excellent
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
18.2/25Indirect dependencies free of known advisories — 1 affected: paramiko 4.0.0 (low 3.4)
36.9/40No advisories left outstanding — 1 advisory-carrying package(s) unaddressed past 90 days; oldest published 133 days ago
Inputs used
sourceosv
advisories2
affected_packages1
assessed_packages74
unassessed_packages0
affected_by_severitylow 1
direct_affected_packages0
Matched the pypi:dlt-saga@0.32.0 runtime dependency closure — what installing the published package pulls in — 74 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.

77Good · 4% of overall

Agent context & guidance

85Excellent
How it's scored
45/45Agent instructions — .claude/CLAUDE.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 100 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share1
agent_instruction_files.claude/CLAUDE.md
agent_instruction_max_bytes33,700

Verify loop (build / test / typecheck)

71Good
How it's scored
18/18One-command bootstrap — mise.toml
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
0/11Static type checking
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
0/8Automated maintenance — no automated dependency updates observed
10/10OpenSSF Scorecard: Pinned-Dependencies — all dependencies are pinned
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesmise.toml
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

54Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
53.8/55Manageable file sizes — 6/272 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes81,932
source_files_sampled272
oversized_source_files6

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 — example
Inputs used
example_dirsexample
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

6GitHub stars
3contributors
296commits, last 12 months
0days since last push
54releases
1bus factor
0open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi download statistics for 'dlt-saga' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced

More detail

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 · 2026-09-16 03:12 UTC

10Binary-Artifactsno binaries found in the repo
8Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests30 out of 30 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 2/30 approved changesets -- score normalized to 0
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
10Pinned-Dependenciesall dependencies are pinned
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
9Vulnerabilities1 existing vulnerabilities detected
Direct dependencies 9
RegistryPackageVersion constraintManifest
PyPIdlt>=1.18.0,<2.0.0pyproject.toml
PyPIjinja2>=3.1.0pyproject.toml
PyPIpydantic>=2.11.7pyproject.toml
PyPIpyyaml>=6.0.2pyproject.toml
PyPItyper>=0.16.0pyproject.toml
PyPIconnectorx>=0.4.4pyproject.toml
PyPIpandas>=2.3.1,<4pyproject.toml
PyPIpolars>=1.37.1pyproject.toml
PyPIpyarrow>=21.0.0pyproject.toml
All dependencies 180

Full resolved dependency set from the GitHub dependency graph: 17 direct and 163 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIconnectorx—direct
PyPIconnectorx0.4.5direct
PyPIdlt—direct
PyPIdlt1.29.1direct
PyPIjinja23.1.6direct
PyPIpandas—direct
PyPIpandas3.0.5direct
PyPIpolars—direct
PyPIpolars1.43.2direct
PyPIpyarrow—direct
PyPIpyarrow25.0.0direct
PyPIpydantic—direct
PyPIpydantic2.13.4direct
PyPIpyyaml—direct
PyPIpyyaml6.0.3direct
PyPItyper—direct
PyPItyper0.27.0direct
PyPIadlfs—indirect
PyPIadlfs2026.5.0indirect
PyPIaiobotocore3.9.0indirect
PyPIaiohappyeyeballs2.7.1indirect
PyPIaiohttp3.14.3indirect
PyPIaioitertools0.13.0indirect
PyPIaiosignal1.4.0indirect
PyPIannotated-doc0.0.5indirect
PyPIannotated-types0.8.0indirect
PyPIast-serialize0.6.0indirect
PyPIattrs26.1.0indirect
PyPIazure-core1.41.0indirect
PyPIazure-identity—indirect
PyPIazure-identity1.25.3indirect
PyPIazure-keyvault-secrets—indirect
PyPIazure-keyvault-secrets4.11.0indirect
PyPIazure-storage-blob12.30.0indirect
PyPIbcrypt5.0.0indirect
PyPIboto31.43.56indirect
PyPIbotocore1.43.56indirect
PyPIcertifi2026.7.22indirect
PyPIcffi2.1.0indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer3.4.9indirect
PyPIclick8.4.2indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.15.3indirect
PyPIcryptography50.0.0indirect
PyPIdatabricks-sdk0.123.0indirect
PyPIdatabricks-sql-connector4.4.0indirect
PyPIdatabricks-zerobus-ingest-sdk1.4.0indirect
PyPIdb-dtypes1.7.1indirect
PyPIdecorator5.3.1indirect
PyPIdistlib0.4.3indirect
PyPIdlt-saga—indirect
PyPIdlt-saga0.32.0indirect
PyPIduckdb1.5.5indirect
PyPIet-xmlfile2.0.0indirect
PyPIfilelock3.32.2indirect
PyPIfrozenlist1.8.0indirect
PyPIfsspec2026.7.0indirect
PyPIgcsfs—indirect
PyPIgcsfs2026.7.0indirect
PyPIgitdb4.0.12indirect
PyPIgitpython3.1.62indirect
PyPIgiturlparse0.15.0indirect
PyPIgoogle-api-core2.33.0indirect
PyPIgoogle-api-python-client—indirect
PyPIgoogle-api-python-client2.198.0indirect
PyPIgoogle-auth2.56.2indirect
PyPIgoogle-auth-httplib20.4.0indirect
PyPIgoogle-auth-oauthlib—indirect
PyPIgoogle-auth-oauthlib1.4.0indirect
PyPIgoogle-cloud-bigquery3.42.3indirect
PyPIgoogle-cloud-bigquery-storage—indirect
PyPIgoogle-cloud-bigquery-storage2.39.0indirect
PyPIgoogle-cloud-core2.6.0indirect
PyPIgoogle-cloud-run—indirect
PyPIgoogle-cloud-run0.16.1indirect
PyPIgoogle-cloud-secret-manager—indirect
PyPIgoogle-cloud-secret-manager2.30.0indirect
PyPIgoogle-cloud-storage—indirect
PyPIgoogle-cloud-storage3.13.0indirect
PyPIgoogle-cloud-storage-control1.12.0indirect
PyPIgoogle-crc32c1.8.0indirect
PyPIgoogle-resumable-media2.10.0indirect
PyPIgoogleapis-common-protos1.75.0indirect
PyPIgrpc-google-iam-v10.14.4indirect
PyPIgrpcio1.83.0indirect
PyPIgrpcio-status1.83.0indirect
PyPIhttplib20.32.0indirect
PyPIhumanize4.16.0indirect
PyPIidentify2.6.19indirect
PyPIidna3.18indirect
PyPIiniconfig2.3.0indirect
PyPIinvoke3.0.3indirect
PyPIisodate0.7.2indirect
PyPIjmespath1.1.0indirect
PyPIjsonpath-ng1.8.0indirect
PyPIlibrt0.13.0indirect
PyPIlz44.4.5indirect
PyPImarkdown-it-py4.2.0indirect
PyPImarkupsafe3.0.3indirect
PyPImdurl0.1.2indirect
PyPImsal1.37.0indirect
PyPImsal-extensions1.3.1indirect
PyPImultidict6.7.1indirect
PyPImypy—indirect
PyPImypy2.3.0indirect
PyPImypy-extensions1.1.0indirect
PyPInodeenv1.10.0indirect
PyPInumpy2.4.6indirect
PyPInumpy2.5.1indirect
PyPIoauthlib3.3.1indirect
PyPIopenpyxl—indirect
PyPIopenpyxl3.1.5indirect
PyPIorjson3.11.9indirect
PyPIpackaging26.2indirect
PyPIparamiko4.0.0indirect
PyPIpathspec1.1.1indirect
PyPIpathvalidate3.3.1indirect
PyPIpendulum3.2.0indirect
PyPIplatformdirs4.11.0indirect
PyPIpluggy1.6.0indirect
PyPIpolars-runtime-321.43.2indirect
PyPIpre-commit—indirect
PyPIpre-commit4.6.1indirect
PyPIpropcache0.5.2indirect
PyPIproto-plus1.28.2indirect
PyPIprotobuf6.33.6indirect
PyPIpyasn10.6.4indirect
PyPIpyasn1-modules0.4.2indirect
PyPIpybreaker1.4.1indirect
PyPIpycparser3.0indirect
PyPIpydantic-core2.46.4indirect
PyPIpygments2.20.0indirect
PyPIpyjwt2.13.0indirect
PyPIpynacl1.6.2indirect
PyPIpyparsing3.3.2indirect
PyPIpytest—indirect
PyPIpytest9.1.1indirect
PyPIpytest-cov—indirect
PyPIpytest-cov7.1.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-discovery1.5.1indirect
PyPIpytz2026.3.post1indirect
PyPIpywin32312indirect
PyPIrequests—indirect
PyPIrequests2.34.2indirect
PyPIrequests-oauthlib2.0.0indirect
PyPIrequirements-parser0.13.1indirect
PyPIrich15.0.0indirect
PyPIrich-argparse1.8.0indirect
PyPIruff—indirect
PyPIruff0.16.1indirect
PyPIs3fs2026.7.0indirect
PyPIs3transfer0.19.2indirect
PyPIsemver3.0.4indirect
PyPIsetuptools—indirect
PyPIsetuptools83.0.0indirect
PyPIshellingham1.5.4indirect
PyPIsimplejson4.1.1indirect
PyPIsix1.17.0indirect
PyPIsmmap5.0.3indirect
PyPIsqlglot30.14.0indirect
PyPItenacity9.1.4indirect
PyPIthrift0.24.0indirect
PyPItomli2.4.1indirect
PyPItomlkit0.15.1indirect
PyPItypes-pyyaml—indirect
PyPItypes-pyyaml6.0.12.20260724indirect
PyPItypes-requests—indirect
PyPItypes-requests2.33.0.20260712indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2026.3indirect
PyPIuritemplate4.2.0indirect
PyPIurllib32.7.0indirect
PyPIvirtualenv21.7.1indirect
PyPIwheel—indirect
PyPIwin-precise-time1.4.2indirect
PyPIwrapt2.3.0indirect
PyPIyarl1.24.5indirect
Dependency advisories 1

Installing pypi:dlt-saga@0.32.0 pulls in 74 packages, direct and transitive: 1 carry known advisories, of which 0 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
paramiko4.0.0indirectlow2—

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

Feedback

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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.