Public record
Software health reportschema 0.16.0 · metrics 2.10.0 · 2026-07-20 23:24 UTC

deepmodeling / abacus-develop

An electronic structure package based on either plane wave basis or numerical atomic orbitals.

C++LGPL-3.0★ 280 stars⑂ 236 forkssince Feb 2021forkView on GitHub ↗

deepmodeling/abacus-develop holds a health index of 94 out of 100, placing it in the Exceptional band. It scores highest on Vitality (100/100) and lowest on Community & Adoption (46/100). It was last updated today. 7 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 80 is calibrated to 94 on the published index scale (record calibration 2026-08-02).

Ownership

DeepModelingOrganization
1,379 followers67 public repossince Oct 2017

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

Metrics by category

Vitality

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

100Exceptional · 21% of overall

Development activity

100Exceptional
How it's scored
36/36Push recencylast push 0 days ago
36/36Commit cadence52/52 weeks with commits
18/18Commit volume585 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 25 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year585
human_commit_share
days_since_last_push0
active_weeks_last_year52

Release discipline

100Exceptional
How it's scored
27/27Ships releases98 releases published
36/36Release recencylatest release 6 days ago
27/27Release cadencea release every ~18 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count98
latest_release_tagv3.11.0-beta6
releases_from_tagsno
days_since_latest_release6
mean_days_between_releases18
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?

46Weak · 17% of overall
How it's scored
39.7/60Stars280 stars
19.8/25Forks236 forks
5.3/15Watchers10 watchers
Inputs used
forks236
stars280
watchers10
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
0/22.5README
22.5/22.5Licenserecognized license (LGPL-3.0)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeno
has_licenseno
readme_badges
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services
has_pull_request_templateno

Sustainability & Governance

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

94Exceptional · 23% of overall
How it's scored
51.3/54Bus factor7 contributor(s) cover half of all commits
19.5/22.5Commit distributiontop contributor authored 13% of commits
13.5/13.5Contributor breadth100 contributors
10/10OpenSSF Scorecard: Contributorsproject has 9 contributing companies or organizations
Inputs used
bus_factor7
contributors_sampled100
top_contributor_share0.132
How it's scored
38.2/42Issue resolution91% of issues closed
25.5/30PR acceptance4,082/4,803 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
15/15OpenSSF Scorecard: Code-Reviewall changesets reviewed
Inputs used
merged_prs4,082
open_issues241
closed_issues2,413
prs_merged_7d
prs_decided_7d
prs_merged_30d
prs_decided_30d
issue_closed_ratio0.909
closed_unmerged_prs721
first_time_authors_30d
first_time_prs_merged_30d
first_time_prs_decided_30d
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
22.6/25Owner reach1,379 followers of deepmodeling
25/25Track record67 public repos, account ~8 yr old
Inputs used
followers1,379
owner_typeOrganization
is_verified
owner_logindeepmodeling
public_repos67
account_age_days3,205
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Engineering Quality

Are baseline engineering and documentation practices in place?

84Excellent · 19% of overall

Engineering practices

100Exceptional
How it's scored
24/24CI workflows17 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
6.4/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configyes

Documentation

60Moderate
How it's scored
0/30README
25/25Documentation directory
15/15Documentation / homepage sitehttp://abacus.ustc.edu.cn
0/10Repository description
10/10Topics10 topics
10/10Wiki
Inputs used
topicsab-initio, density-functional-theory, dft, electronic-structure, cuda, molecular-dynamics, mpi, openmp, orbital-free-dft, real-time-tddft
has_wikiyes
homepagehttp://abacus.ustc.edu.cn
docs_sitehttp://abacus.ustc.edu.cn
has_readmeno
has_docs_diryes
has_descriptionno

Security

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

61Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0.8/7.5Branch-Protectionbranch protection is not maximal on development and all release branches
2.5/2.5CI-Tests30 out of 30 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
7.5/7.5Code-Reviewall changesets reviewed
2.5/2.5Contributorsproject has 9 contributing companies or organizations
0/10Dangerous-Workflowno data
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 25 issue activity found in the last 90 days -- score normalized to 10
0/5Packagingno data
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-Permissionsno data
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated14
scorecard_versionv5.5.0
checks_inconclusive4
scorecard_aggregate6.1
Excluded from scoring (no data or not applicable): Dangerous-Workflow, Packaging, Signed-Releases, Token-Permissions. 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.

87Excellent · 4% of overall
How it's scored
45/45Agent instructions.github/copilot-instructions.md, .github/instructions/abacus-governance.instructions.md, AGENTS.md
0/15Machine-readable docs (llms.txt)
0/40Legible commit historyno data
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share
agent_instruction_files.github/copilot-instructions.md, .github/instructions/abacus-governance.instructions.md, AGENTS.md
agent_instruction_max_bytes5,222
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
How it's scored
18/18One-command bootstrapdocs/Makefile, python/pyabacus/noxfile.py, source/Makefile, source/source_basis/module_ao/1_Documents/sphinx/Makefile, source/source_basis/module_pw/test/Makefile, source/source_pw/module_pwdft/Makefile, tools/01_NAO_generation/SIAB/Makefile
22/22Automated tests
11/11Lint / format config
11/11Static type checkingC++ (statically typed)
10/10Reproducible environmentdevcontainer, Dockerfile
0/10Demonstrated agent practiceno data
5/8Automated maintenancedependency automation configured, none observed in the sampled commits
0/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileyes
typed_languageyes
bootstrap_filesdocs/Makefile, python/pyabacus/noxfile.py, source/Makefile, source/source_basis/module_ao/1_Documents/sphinx/Makefile, source/source_basis/module_pw/test/Makefile, source/source_pw/module_pwdft/Makefile, tools/01_NAO_generation/SIAB/Makefile
has_devcontaineryes
has_linter_configyes
typecheck_configs
agent_commit_share
toolchain_manifests
dependency_bot_commit_share0
Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.
How it's scored
45/45Type-checkable codeC++ (statically typed)
54.6/55Manageable file sizes18/2,220 source files over 60KB
Inputs used
primary_languageC++
largest_source_bytes2,185,069
source_files_sampled2,220
oversized_source_files18
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 examplesexamples
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

280GitHub stars
100contributors
585commits, last 12 months
0days since last push
98releases
7bus factor
241open issues
PyPIpackage ecosystems

Data collection warnings

  • Community profile unavailable
  • No resolved dependencies carried a version and a supported ecosystem

More detail

OpenSSF Scorecard 6.1 / 10
6.1aggregate

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 · 2026-07-20 23:24 UTC

10Binary-Artifactsno binaries found in the repo
1Branch-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
10Code-Reviewall changesets reviewed
10Contributorsproject has 9 contributing companies or organizations
n/aDangerous-Workflowno workflows found
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 25 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
n/aToken-PermissionsNo tokens found
10Vulnerabilities0 existing vulnerabilities detected
All dependencies 17

Full resolved dependency set from the GitHub dependency graph: 0 direct and 17 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIaseindirect
PyPIbreatheindirect
PyPIdeepmodeling-sphinxindirect
PyPIexhaleindirect
PyPIlxmlindirect
PyPImatplotlibindirect
PyPImyst-parserindirect
PyPInumpyindirect
PyPIpybind11indirect
PyPIpyyamlindirect
PyPIscikit-build-coreindirect
PyPIseekpathindirect
PyPIsetuptoolsindirect
PyPIsphinxindirect
PyPIsphinx-book-themeindirect
PyPIsphinx-rtd-themeindirect
PyPIurllib3indirect
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 v0.16.0 — full methodology · metrics wiki.

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