Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-11 14:52 UTC

FZJ-IEK3-VSA / tsam

Time series aggregation module (tsam). Determines typical operation periods or decreases the temporal resolution. Accelerates model or experiment runs.

PythonMIT★ 177 stars⑂ 40 forkssince May 2017View on GitHub ↗

FZJ-IEK3-VSA/tsam holds a health index of 94 out of 100, placing it in the Exceptional band. It scores highest on Engineering Quality (96/100) and lowest on Community & Adoption (65/100). It was last updated 1 day ago. 2 contributors account for most of its recent work.

94
overall / 100
Exceptional

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.

94
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 81 is calibrated to 94 on the published index scale (record calibration 2026-08-02).

Ownership

77 followers51 public repossince May 2017

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPItsam4.0.067,692408 days agoclusteringoptimization

Metrics by category

Vitality

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

92Excellent · 21% of overall
How it's scored
36/36Push recencylast push 1 days ago
21.5/36Commit cadence31/52 weeks with commits
18/18Commit volume350 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 26 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year350
human_commit_share0.3
days_since_last_push1
active_weeks_last_year31

Release discipline

100Exceptional
How it's scored
27/27Ships releases35 releases published
36/36Release recencylatest release 8 days ago
27/27Release cadencea release every ~17.8 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count35
latest_release_tagv4.0.0
releases_from_tagsno
days_since_latest_release8
mean_days_between_releases17.8
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?

65Good · 17% of overall
How it's scored
36.4/60Stars177 stars
13.3/25Forks40 forks
4.3/15Watchers7 watchers
Inputs used
forks40
stars177
watchers7
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (MIT)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges6
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicescodecov.io, github.com, readthedocs.org, shields.io
has_pull_request_templateyes

Sustainability & Governance

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

80Excellent · 23% of overall
How it's scored
25.2/54Bus factor2 contributor(s) cover half of all commits
16.2/22.5Commit distributiontop contributor authored 28% of commits
13.5/13.5Contributor breadth21 contributors
10/10OpenSSF Scorecard: Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
Inputs used
bus_factor2
contributors_sampled21
top_contributor_share0.282
How it's scored
35.2/42Issue resolution84% of issues closed
22.9/30PR acceptance271/355 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
10.5/15OpenSSF Scorecard: Code-ReviewFound 5/7 approved changesets -- score normalized to 7
Inputs used
merged_prs271
open_issues15
closed_issues78
prs_merged_7d0
prs_decided_7d0
prs_merged_30d30
prs_decided_30d41
issue_closed_ratio0.839
closed_unmerged_prs84
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.
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domainverified-domain status not read for this organization
13.6/25Owner reach77 followers of FZJ-IEK3-VSA
24.5/25Track record51 public repos, account ~9 yr old
Inputs used
followers77
owner_typeOrganization
is_verified
owner_loginFZJ-IEK3-VSA
public_repos51
account_age_days3,377
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 8 days ago
20/20Version history40 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagestsam
ecosystemspypi
any_deprecatedno
min_days_since_publish8

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall
How it's scored
24/24CI workflows8 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests27 out of 27 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 sitehttps://tsam.readthedocs.io/
10/10Repository description
10/10Topics8 topics
10/10Wiki
Inputs used
topicsclustering, timeseries, energy-system, typical-periods, optimization, aggregation, python, time-series
has_wikiyes
homepagehttps://tsam.readthedocs.io/
docs_sitehttps://tsam.readthedocs.io/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

70Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
3.8/7.5Branch-Protectionbranch protection is not maximal on development and all release branches
2.5/2.5CI-Tests27 out of 27 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
5.2/7.5Code-ReviewFound 5/7 approved changesets -- score normalized to 7
2.5/2.5Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
10/10Dangerous-Workflowno dangerous workflow patterns detected
7.5/7.5Dependency-Update-Toolupdate tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
7.5/7.5Maintained30 commit(s) and 26 issue activity found in the last 90 days -- score normalized to 10
5/5Packagingpackaging workflow detected
0/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0/5SASTSAST tool is not run on all commits -- score normalized to 0
0/5Security-Policysecurity policy file not detected
0/7.5Signed-Releasesno data
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate6.3
Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisoriesno direct dependency carries a known advisory
25/25Indirect dependencies free of known advisoriesno indirect dependency carries a known advisory
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages12
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:tsam@4.0.0 runtime dependency closure — what installing the published package pulls in — 12 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
How it's scored
45/45Agent instructionsAGENTS.md, CLAUDE.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history30 of 30 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share1
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes3,114
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config
11/11Static type checkingsrc/tsam/py.typed
0/10Reproducible environment
10/10Demonstrated agent practice14 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance66 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileno
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configyes
typecheck_configssrc/tsam/py.typed
agent_commit_share0.14
toolchain_manifests
dependency_bot_commit_share0.66
How it's scored
27/45Type-checkable codePython with type-check config (src/tsam/py.typed)
54.3/55Manageable file sizes1/77 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes64,205
source_files_sampled77
oversized_source_files1
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)not applicable to this kind of software
0/20MCP servernot applicable to this kind of software
40/40Runnable examplesnotebooks
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

177GitHub stars
21contributors
350commits, last 12 months
1days since last push
35releases
2bus factor
15open issues
PyPIpackage ecosystems

Data collection warnings

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

More detail

Star and fork history 0 ★ / 40 ⇿
0Stars
40Forks
29Releases

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.

0102030404022018-032022-052026-06
Major 1Minor 5Patch 15

Each point covers 8 days.

OpenSSF Scorecard 6.3 / 10
6.3aggregate

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 · 2026-08-11 14:52 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests27 out of 27 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
7Code-ReviewFound 5/7 approved changesets -- score normalized to 7
10Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 26 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
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 7
RegistryPackageVersion constraintManifest
PyPIscikit-learn>=1.3.0,<=1.9.0pyproject.toml
PyPIscipy>=1.9.0,<=1.18.0pyproject.toml
PyPIpandas>=2.2.0,<=3.0.5pyproject.toml
PyPInumpy>=1.22.4,<=2.4.6pyproject.toml
PyPIpyomo>=6.4.8,<=6.10.1pyproject.toml
PyPItqdm>=4.21.0,<=4.70.0pyproject.toml
PyPIhighspy>=1.7.2,<=1.15.1pyproject.toml
All dependencies 32

Full resolved dependency set from the GitHub dependency graph: 7 direct and 25 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIhighspydirect
PyPInumpydirect
PyPIpandasdirect
PyPIpyomodirect
PyPIscikit-learndirect
PyPIscipydirect
PyPItqdmdirect
PyPIcodecovindirect
PyPImkdocsindirect
PyPImkdocs-gen-filesindirect
PyPImkdocs-jupyterindirect
PyPImkdocs-literate-navindirect
PyPImkdocs-materialindirect
PyPImkdocstrings-pythonindirect
PyPImypyindirect
PyPInbclientindirect
PyPInbformatindirect
PyPInbvalindirect
PyPInetworkxindirect
PyPInotebookindirect
PyPIpandas-stubsindirect
PyPIplotlyindirect
PyPIpre-commitindirect
PyPIpytestindirect
PyPIpytest-benchmarkindirect
PyPIpytest-covindirect
PyPIpytest-xdistindirect
PyPIruffindirect
PyPIsphinxindirect
PyPIsphinx-autobuildindirect
PyPIsphinx-book-themeindirect
PyPItwineindirect
Dependency advisories 0

Installing pypi:tsam@4.0.0 pulls in 12 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

Feedback

Spotted something off in this report, or have thoughts to share? Wrong measurements, missed tooling, ideas, questions — anything is welcome. Every message is read and gets a response.

The message is kept through sign-in.

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 v0.31.0 — full methodology · metrics wiki.

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