Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-21 14:36 UTC

danielhrisca / asammdf

Fast Python reader and editor for ASAM MDF / MF4 (Measurement Data Format) files

PythonCustom license★ 814 stars⑂ 275 forkssince Jul 2017View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

danielhrisca/asammdf holds a health index of 84 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (95/100) and lowest on Security (31/100). 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

Daniel HriscaPersonal account
137 followers29 public repossince Aug 2016

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
PyPIasammdf8.8.28657,3212970 days agoreadreaderediteditorparseparserasammdfmeasurement

Metrics by category

Vitality

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

83Excellent · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
16.6/36Commit cadence — 24/52 weeks with commits
18/18Commit volume — 195 commits in the last year
0/10OpenSSF Scorecard: Maintained — 0 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 0
Inputs used
commits_last_year195
human_commit_share1
days_since_last_push0
active_weeks_last_year24

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~14.5 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tag8.8.28
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases14.5
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?

80Excellent · 17% of overall
How it's scored
47.2/60Stars — 814 stars
20.3/25Forks — 275 forks
8.6/15Watchers — 36 watchers
Inputs used
forks275
stars814
watchers36
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
16.9/22.5License — license file present, not a recognized license
18/18CONTRIBUTING guide
0/13.5Code of conduct
7.2/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges10
has_contributingyes
has_issue_templateyes
has_code_of_conductno
readme_badge_servicesbadge.fury.io, coveralls.io, github.com, readthedocs.org, shields.io
has_pull_request_templateno
How it's scored
77.6/80Monthly downloads — 657,321 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesasammdf
dependents—
ecosystemspypi
total_downloads—
monthly_downloads657,321
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?

65Good · 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 — 58 contributors
10/10OpenSSF Scorecard: Contributors — project has 6 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled58
top_contributor_share0.864
How it's scored
37.3/42Issue resolution — 89% of issues closed
25.8/30PR acceptance — 263/306 decided PRs merged
13/13Newcomer PR acceptance — 2/2 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0
Inputs used
merged_prs263
open_issues97
closed_issues779
prs_merged_7d0
prs_decided_7d0
prs_merged_30d5
prs_decided_30d5
issue_closed_ratio0.889
closed_unmerged_prs43
first_time_authors_30d2
first_time_prs_merged_30d2
first_time_prs_decided_30d2
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
15.4/25Owner reach — 137 followers of danielhrisca
22.8/25Track record — 29 public repos, account ~10 yr old
Inputs used
followers137
owner_typeUser
is_verified—
owner_logindanielhrisca
public_repos29
account_age_days3,723
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 0 days ago
20/20Version history — 297 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesasammdf
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

95Exceptional · 19% of overall
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff], [tool.black]), tox.ini
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://asammdf.readthedocs.io/en/master
10/10Repository description
10/10Topics — 4 topics
10/10Wiki
Inputs used
topicsmdf, mf4, asam, measurement
has_wikiyes
homepage—
docs_sitehttps://asammdf.readthedocs.io/en/master
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

31At Risk · 16% of overall
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
0/2.5CI-Tests — no data
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/30 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 6 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.2/2.5License — license file detected
0/7.5Maintained — 0 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 0
0/5Packaging — no data
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — no SAST tool detected
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
6/7.5Vulnerabilities — 2 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate3.1
Excluded from scoring (no data or not applicable): CI-Tests, Packaging, Signed-Releases. Remaining weights renormalized.

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.

52Moderate · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
2.1/40Legible commit history — 4 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.04
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
18/18One-command bootstrap — doc/Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff], [tool.black]), tox.ini
11/11Static type checking — src/asammdf/py.typed
0/10Reproducible environment
0/10Demonstrated agent practice — no agent-authored commits among the last 100
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_testsyes
lockfiles—
has_dockerfileno
typed_languageno
bootstrap_filesdoc/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configssrc/asammdf/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0
How it's scored
27/45Type-checkable code — Python with type-check config (src/asammdf/py.typed)
48.9/55Manageable file sizes — 19/172 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes682,313
source_files_sampled172
oversized_source_files19
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 — examples
Inputs used
example_dirsexamples
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

814GitHub stars
58contributors
195commits, last 12 months
0days since last push
100releases
1bus factor
97open 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:asammdf@8.8.28; advisories assessed against the repository dependency graph instead
  • No resolved dependencies carried a version and a supported ecosystem

More detail

Star and fork history 0 ★ / 275 ⇿
0Stars
275Forks
99Releases

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.

05010015020025030027342017-072022-032026-10
Major 3Minor 19Patch 77

Each point covers 9 days.

OpenSSF Scorecard 3.1 / 10
3.1aggregate

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 · 2026-10-21 14:35 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
n/aCI-Testsno pull request found
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/30 approved changesets -- score normalized to 0
10Contributorsproject has 6 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
0Maintained0 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 0
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTno SAST tool detected
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
8Vulnerabilities2 existing vulnerabilities detected
Direct dependencies 12
RegistryPackageVersion constraintManifest
PyPIchardet>=7.0.0pyproject.toml
PyPIcanmatrix>=1.2pyproject.toml
PyPIisal—pyproject.toml
PyPIdeflate—pyproject.toml
PyPIlxml>=4.9.3pyproject.toml
PyPIlz4—pyproject.toml
PyPInumexpr>=2.10.0pyproject.toml
PyPInumpy>=2.0.0pyproject.toml
PyPIpandas>=2.2.2pyproject.toml
PyPIpython-dateutil—pyproject.toml
PyPItyping-extensions>=4.10pyproject.toml
PyPIzstd—pyproject.toml
All dependencies 41

Full resolved dependency set from the GitHub dependency graph: 12 direct and 29 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIcanmatrix—direct
PyPIchardet—direct
PyPIdeflate—direct
PyPIisal—direct
PyPIlxml—direct
PyPIlz4—direct
PyPInumexpr—direct
PyPInumpy—direct
PyPIpandas—direct
PyPIpython-dateutil—direct
PyPItyping-extensions—direct
PyPIzstd—direct
PyPIasammdf—indirect
PyPIbuild—indirect
PyPIjunitparser—indirect
PyPImatplotlib—indirect
PyPImdfreader—indirect
PyPImypy—indirect
PyPInumpydoc—indirect
PyPIpandas-stubs—indirect
PyPIpre-commit—indirect
PyPIpsutil—indirect
PyPIpyarrow-stubs—indirect
PyPIpyautogui—indirect
PyPIpytest—indirect
PyPIpytest-cov—indirect
PyPIpytest-timeout—indirect
PyPIpython-can—indirect
PyPIruff—indirect
PyPIscipy-stubs—indirect
PyPIsphinx—indirect
PyPIsphinx-argparse—indirect
PyPIsphinx-rtd-theme—indirect
PyPIsphinxcontrib-mermaid—indirect
PyPItox—indirect
PyPItypes-lxml—indirect
PyPItypes-psutil—indirect
PyPItypes-pyautogui—indirect
PyPItypes-python-dateutil—indirect
PyPItypes-zstd—indirect
PyPIxmlrunner—indirect
Dependency advisories not assessed

Advisory matching could not run for this report: No resolved dependencies carried a version and a supported ecosystem

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.