Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-23 23:49 UTC

LiberTEM / LiberTEM

Open pixelated STEM framework

Python · TypeScriptMIT★ 130 stars⑂ 73 forkssince Jan 2018View on GitHub ↗
KindCommand-line toolNetwork serviceLibraryWeb interfacehow this is determined
#electron-microscopy#data-processing#image-processing#python

LiberTEM/LiberTEM holds a health index of 89 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (99/100) and lowest on AI Readiness (54/100). It was last updated 6 days ago. 2 contributors account for most of its recent work.

89
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.

89
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 75 is calibrated to 89 on the published index scale (record calibration 2026-08-02).

Ownership

LiberTEMOrganization
18 followers31 public repossince Jan 2018

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIlibertem0.16.0-4496 days agoelectronmicroscopy

Metrics by category

Vitality

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

85Excellent · 21% of overall

Development activity

86Excellent
How it's scored
36/36Push recency — last push 6 days ago
21.5/36Commit cadence — 31/52 weeks with commits
18/18Commit volume — 107 commits in the last year
10/10OpenSSF Scorecard: Maintained — 17 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year107
human_commit_share0.65
days_since_last_push6
active_weeks_last_year31

Release discipline

83Excellent
How it's scored
27/27Ships releases — 72 releases published
36/36Release recency — latest release 12 days ago
19.8/27Release cadence — a release every ~111.7 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count72
latest_release_tagcontinuous
releases_from_tagsno
days_since_latest_release12
mean_days_between_releases111.7

Community & Adoption

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

56Moderate · 17% of overall

Popularity & adoption

56Moderate
How it's scored
34.2/60Stars — 130 stars
15.5/25Forks — 73 forks
5.8/15Watchers — 12 watchers
Inputs used
forks73
stars130
watchers12
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

57Moderate
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
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateyes

Sustainability & Governance

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

74Good · 23% of overall

Maintainer resilience (bus factor)

61Moderate
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
12.4/22.5Commit distribution — top contributor authored 45% of commits
13.5/13.5Contributor breadth — 23 contributors
10/10OpenSSF Scorecard: Contributors — project has 12 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled23
top_contributor_share0.449

Issue & PR responsiveness

81Excellent
How it's scored
34.9/42Issue resolution — 83% of issues closed
27.9/30PR acceptance — 1,029/1,105 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
7.5/15OpenSSF Scorecard: Code-Review — Found 4/7 approved changesets -- score normalized to 5
Inputs used
merged_prs1,029
open_issues124
closed_issues604
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.83
closed_unmerged_prs76
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

62Moderate
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
9.2/25Owner reach — 18 followers of LiberTEM
23/25Track record — 31 public repos, account ~8 yr old
Inputs used
followers18
owner_typeOrganization
is_verifiedno
owner_loginLiberTEM
public_repos31
account_age_days3,147

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 96 days ago
20/20Version history — 44 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packageslibertem
ecosystemspypi
any_deprecatedno
min_days_since_publish96

Engineering Quality

Are baseline engineering and documentation practices in place?

99Exceptional · 19% of overall

Engineering practices

98Exceptional
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
16/16Linter config — .eslintrc.js, .flake8, tox.ini
9.6/9.6Pre-commit hooks
6.4/6.4.editorconfig
18/20OpenSSF Scorecard: CI-Tests — 18 out of 19 merged PRs checked by a CI test -- score normalized to 9
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configyes

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://libertem.github.io/LiberTEM/
10/10Repository description
10/10Topics — 4 topics
10/10Wiki
Inputs used
topicselectron-microscopy, data-processing, image-processing, python
has_wikiyes
homepagehttps://libertem.github.io/LiberTEM/
docs_sitehttps://libertem.github.io/LiberTEM/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

63Moderate · 16% of overall

Security posture

54Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.2/2.5CI-Tests — 18 out of 19 merged PRs checked by a CI test -- score normalized to 9
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
3.8/7.5Code-Review — Found 4/7 approved changesets -- score normalized to 5
2.5/2.5Contributors — project has 12 contributing companies or organizations
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 — 17 commit(s) and 1 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
3.8/7.5Vulnerabilities — 5 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5.4
Excluded from scoring (no data or not applicable): Branch-Protection. 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_packages96
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:libertem@0.16.0 runtime dependency closure — what installing the published package pulls in — 96 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.

54Moderate · 4% of overall

Agent context & guidance

13Critical
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
13.1/40Legible commit history — 16 of 65 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.246
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

80Excellent
How it's scored
18/18One-command bootstrap — docs/Makefile
22/22Automated tests
11/11Lint / format config — .eslintrc.js, .flake8, tox.ini
11/11Static type checking — client/tsconfig.json, mypy.ini
10/10Reproducible environment — Dockerfile, lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 29 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
lockfilespackage-lock.json
has_dockerfileyes
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configsclient/tsconfig.json, mypy.ini
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.29

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (client/tsconfig.json, mypy.ini)
54.7/55Manageable file sizes — 3/517 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes738,654
source_files_sampled517
oversized_source_files3

Machine-readable interfaces

40Weak
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
0/20MCP server
40/40Runnable examples — examples, notebooks
Inputs used
example_dirsexamples, notebooks
has_mcp_signalno
api_schema_files—
interfaces_expected_ofnetwork-service

Key facts

130GitHub stars
23contributors
107commits, last 12 months
6days since last push
72releases
2bus factor
124open issues
npm, PyPIpackage ecosystems

Data collection warnings

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

More detail

Star and fork history 0 ★ / 73 ⇿
0Stars
73Forks
70Releases

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.

01325385063757282018-082022-062026-04
Major 0Minor 15Patch 13

Each point covers 8 days.

OpenSSF Scorecard 5.4 / 10
5.4aggregate

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 · 2026-08-23 23:48 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
9CI-Tests18 out of 19 merged PRs checked by a CI test -- score normalized to 9
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
5Code-ReviewFound 4/7 approved changesets -- score normalized to 5
10Contributorsproject has 12 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained17 commit(s) and 1 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
5Vulnerabilities5 existing vulnerabilities detected
Direct dependencies 57
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All dependencies 603

Full resolved dependency set from the GitHub dependency graph: 52 direct and 551 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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npmundici-types6.21.0indirect
npmupdate-browserslist-db1.2.3indirect
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npmuse-sync-external-store1.2.0indirect
npmutility-types3.11.0indirect
npmvite8.0.16indirect
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npmw3c-xmlserializer5.0.0indirect
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npmwebidl-conversions8.0.1indirect
npmwhatwg-mimetype5.0.0indirect
npmwhatwg-url16.0.1indirect
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npmwhich-boxed-primitive1.0.2indirect
npmwhich-builtin-type1.1.3indirect
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npmwhich-typed-array1.1.15indirect
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npmwrappy1.0.2indirect
npmxml-name-validator5.0.0indirect
npmxmlchars2.2.0indirect
npmyallist3.1.1indirect
npmyocto-queue0.1.0indirect
npmzod4.4.3indirect
npmzod-validation-error4.0.2indirect
PyPIaiohttp—indirect
PyPIbibtexparser—indirect
PyPIbuild—indirect
PyPIcoverage—indirect
PyPIdocutils—indirect
PyPIenum-tools—indirect
PyPIghp-import—indirect
PyPIgraphviz—indirect
PyPIhtml5lib—indirect
PyPIipykernel—indirect
PyPIipython—indirect
PyPIjoblib—indirect
PyPIlibertem-blobfinder—indirect
PyPInbsphinx—indirect
PyPInbsphinx-link—indirect
PyPInest-asyncio—indirect
PyPIpackaging—indirect
PyPIpygithub—indirect
PyPIpytest—indirect
PyPIpytest-asyncio—indirect
PyPIpytest-benchmark—indirect
PyPIpytest-cov—indirect
PyPIpytest-env—indirect
PyPIpytest-xdist—indirect
PyPIrequests—indirect
PyPIsetuptools—indirect
PyPIsphinx—indirect
PyPIsphinx-autobuild—indirect
PyPIsphinx-issues—indirect
PyPIsphinx-rtd-theme—indirect
PyPIsphinx-toolbox—indirect
PyPIsphinxcontrib-bibtex—indirect
PyPItwine—indirect
PyPIwebsockets—indirect
PyPIwheel—indirect
Dependency advisories 0

Installing pypi:libertem@0.16.0 pulls in 96 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.

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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.