Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-18 05:32 UTC

dbrattli / Expression

Functional programming for Python

PythonMIT★ 775 stars⑂ 38 forkssince Sep 2020View on GitHub ↗

dbrattli/Expression holds a health index of 87 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (93/100) and lowest on Sustainability & Governance (58/100). It was last updated 3 days ago. A single contributor accounts for most of its recent work.

87
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.

87
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 73 is calibrated to 87 on the published index scale (record calibration 2026-08-02).

Ownership

Dag BrattliPersonal account
272 followers46 public repossince Jun 2011@cognitedata

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 publish
PyPIExpressionpoints to another repo — not scored5.7.0-6133 days ago

Metrics by category

Vitality

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

73Good · 21% of overall
How it's scored
36/36Push recency — last push 3 days ago
2.8/36Commit cadence — 4/52 weeks with commits
12.2/18Commit volume — 22 commits in the last year
10/10OpenSSF Scorecard: Maintained — 22 commit(s) and 24 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year22
human_commit_share0.93
days_since_last_push3
active_weeks_last_year4
How it's scored
27/27Ships releases — 77 releases published
36/36Release recency — latest release 33 days ago
19.8/27Release cadence — a release every ~105.2 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count77
latest_release_tagv5.7.0
releases_from_tagsno
days_since_latest_release33
mean_days_between_releases105.2
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?

76Good · 17% of overall
How it's scored
46.9/60Stars — 775 stars
13.1/25Forks — 38 forks
8/15Watchers — 29 watchers
Inputs used
forks38
stars775
watchers29
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

85Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges5
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicescodecov.io, github.com, readthedocs.org, shields.io
has_pull_request_templateno

Sustainability & Governance

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

58Moderate · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
3.1/22.5Commit distribution — top contributor authored 86% of commits
13.5/13.5Contributor breadth — 19 contributors
6/10OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6
Inputs used
bus_factor1
contributors_sampled19
top_contributor_share0.864
How it's scored
40/42Issue resolution — 95% of issues closed
27/30PR acceptance — 191/212 decided PRs merged
13/13Newcomer PR acceptance — 1/1 first-time contributors' PRs merged in 30d
3/15OpenSSF Scorecard: Code-Review — Found 5/23 approved changesets -- score normalized to 2
Inputs used
merged_prs191
open_issues3
closed_issues61
prs_merged_7d0
prs_decided_7d0
prs_merged_30d2
prs_decided_30d2
issue_closed_ratio0.953
closed_unmerged_prs21
first_time_authors_30d1
first_time_prs_merged_30d1
first_time_prs_decided_30d1
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
17.5/25Owner reach — 272 followers of dbrattli
24.2/25Track record — 46 public repos, account ~15 yr old
Inputs used
followers272
owner_typeUser
is_verified—
owner_logindbrattli
public_repos46
account_age_days5,574
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Engineering Quality

Are baseline engineering and documentation practices in place?

93Exceptional · 19% of overall
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
14/20OpenSSF Scorecard: CI-Tests — 22 out of 28 merged PRs checked by a CI test -- score normalized to 7
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://expression.readthedocs.io
10/10Repository description
10/10Topics — 5 topics
10/10Wiki
Inputs used
topicsfunctional-programming, fsharp, python, railway-oriented-programming, oslash
has_wikiyes
homepagehttps://expression.readthedocs.io
docs_sitehttps://expression.readthedocs.io
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

65Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
1.8/2.5CI-Tests — 22 out of 28 merged PRs checked by a CI test -- score normalized to 7
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
1.5/7.5Code-Review — Found 5/23 approved changesets -- score normalized to 2
1.5/2.5Contributors — project has 2 contributing companies or organizations -- score normalized to 6
10/10Dangerous-Workflow — no 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 — 22 commit(s) and 24 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_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate5.6
Excluded from scoring (no data or not applicable): Branch-Protection, Packaging, Signed-Releases. 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_packages1
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:Expression@5.7.0 runtime dependency closure — what installing the published package pulls in — 1 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.

87Excellent · 4% of overall
How it's scored
45/45Agent instructions — AGENTS.md
0/15Machine-readable docs (llms.txt)
33.8/40Legible commit history — 59 of 93 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.634
agent_instruction_filesAGENTS.md
agent_instruction_max_bytes3,044
How it's scored
18/18One-command bootstrap — Justfile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — expression/py.typed, pyrightconfig.json
10/10Reproducible environment — devcontainer, lockfile
10/10Demonstrated agent practice — 9 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 6 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesJustfile
has_devcontaineryes
has_linter_configyes
typecheck_configsexpression/py.typed, pyrightconfig.json
agent_commit_share0.09
toolchain_manifests—
dependency_bot_commit_share0.06
How it's scored
27/45Type-checkable code — Python with type-check config (expression/py.typed, pyrightconfig.json)
55/55Manageable file sizes — 0/89 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes32,580
source_files_sampled89
oversized_source_files0
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

775GitHub stars
19contributors
22commits, last 12 months
3days since last push
77releases
1bus factor
3open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi package 'Expression' points at a different repository (https://github.com/cognitedata/Expression); excluded from ecosystem scoring

More detail

Star and fork history 0 ★ / 38 ⇿
0Stars
38Forks
58Releases

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.

0102030403822020-112023-092026-08
Major 4Minor 43Patch 11

Each point covers 6 days.

OpenSSF Scorecard 5.6 / 10
5.6aggregate

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 · 2026-09-18 05:32 UTC

10Binary-Artifactsno binaries found in the repo
n/aBranch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
7CI-Tests22 out of 28 merged PRs checked by a CI test -- score normalized to 7
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
2Code-ReviewFound 5/23 approved changesets -- score normalized to 2
6Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained22 commit(s) and 24 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
Direct dependencies 1
RegistryPackageVersion constraintManifest
PyPItyping-extensions>=4.6.0pyproject.toml
All dependencies 68

Full resolved dependency set from the GitHub dependency graph: 1 direct and 67 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPItyping-extensions4.16.0direct
PyPIannotated-doc0.0.5indirect
PyPIannotated-types0.8.0indirect
PyPIattrs26.1.0indirect
PyPIbackports-asyncio-runner1.2.0indirect
PyPIcertifi2026.7.22indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer3.5.0indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.15.4indirect
PyPIcoveralls4.1.0indirect
PyPIdistlib0.4.3indirect
PyPIdunamai1.26.2indirect
PyPIexceptiongroup1.3.1indirect
PyPIfastjsonschema2.22.1indirect
PyPIfilelock3.32.3indirect
PyPIhypothesis6.165.9indirect
PyPIidentify2.6.19indirect
PyPIidna3.18indirect
PyPIiniconfig2.3.0indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIjupyter-book—indirect
PyPIjupyter-core5.9.1indirect
PyPIjupytext—indirect
PyPIjupytext1.19.5indirect
PyPIlinkify-it-py—indirect
PyPImarkdown-it-py4.2.0indirect
PyPImdit-py-plugins0.6.1indirect
PyPImdurl0.1.2indirect
PyPImyst-nb—indirect
PyPInbformat5.11.0indirect
PyPInodeenv1.10.0indirect
PyPIpackaging26.3indirect
PyPIplatformdirs4.11.3indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit4.6.2indirect
PyPIpydantic2.13.4indirect
PyPIpydantic-core2.46.4indirect
PyPIpygments2.20.0indirect
PyPIpytest9.1.1indirect
PyPIpytest-asyncio1.4.0indirect
PyPIpython-discovery1.5.2indirect
PyPIpyyaml6.0.3indirect
PyPIreferencing0.37.0indirect
PyPIrequests2.34.2indirect
PyPIrich15.0.0indirect
PyPIrpds-py0.30.0indirect
PyPIrpds-py2026.6.3indirect
PyPIruff0.16.3indirect
PyPIshellingham1.5.4indirect
PyPIsortedcontainers2.4.0indirect
PyPIsphinx—indirect
PyPIsphinx-autodoc-typehints—indirect
PyPIsphinx-book-theme—indirect
PyPIsphinx-comments—indirect
PyPIsphinx-copybutton—indirect
PyPIsphinx-external-toc—indirect
PyPIsphinx-jupyterbook-latex—indirect
PyPIsphinx-panels—indirect
PyPIsphinx-thebe—indirect
PyPIsphinx-togglebutton—indirect
PyPItomli2.4.1indirect
PyPItraitlets5.16.1indirect
PyPItyper0.27.1indirect
PyPItyping-inspection0.4.4indirect
PyPIurllib32.7.0indirect
PyPIvirtualenv21.7.4indirect
Dependency advisories 0

Installing pypi:Expression@5.7.0 pulls in 1 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 v0.34.0 — full methodology · metrics wiki.

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