Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-12 20:18 UTC

apache / mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

C++ · PythonApache-2.0★ 20,812 stars⑂ 6,688 forkssince Apr 2015archivedView on GitHub ↗

apache/mxnet holds a health index of 19 out of 100, placing it in the Critical band. It scores highest on Sustainability & Governance (94/100) and lowest on Vitality (23/100). The repository is archived, so no further maintenance is expected.

19
overall / 100
Critical

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.

19
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 67 is calibrated to 78 on the published index scale (record calibration 2026-08-02).

Ownership

23,764 followers3,153 public repossince Jan 2009

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPImxnetpoints to another repo — not scored1.9.1653,217381547 days ago

Metrics by category

Vitality

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

23At Risk · 21% of overall
How it's scored
0/36Push recencylast push 1,021 days ago
0/36Commit cadence0/52 weeks with commits
0/18Commit volume0 commits in the last year
0/10OpenSSF Scorecard: Maintainedproject is archived
Inputs used
commits_last_year0
human_commit_share0.99
days_since_last_push1,021
active_weeks_last_year0
How it's scored
27/27Ships releases34 releases published
0/36Release recencylatest release 1,555 days ago
19.8/27Release cadencea release every ~51.2 days
8/10OpenSSF Scorecard: Signed-Releases4 out of the last 4 releases have a total of 4 signed artifacts.
Inputs used
releases_count34
latest_release_tag1.9.1
releases_from_tagsno
days_since_latest_release1,555
mean_days_between_releases51.2

Community & Adoption

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

83Excellent · 17% of overall
How it's scored
60/60Stars20,812 stars
25/25Forks6,688 forks
7.4/15Watchers22 watchers
Inputs used
forks6,688
stars20,812
watchers22
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (Apache-2.0)
0/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges10
has_contributingno
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesshields.io
has_pull_request_templateyes

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
54/54Bus factor12 contributor(s) cover half of all commits
20.5/22.5Commit distributiontop contributor authored 9% of commits
13.5/13.5Contributor breadth100 contributors
10/10OpenSSF Scorecard: Contributorsproject has 95 contributing companies or organizations
Inputs used
bus_factor12
contributors_sampled100
top_contributor_share0.088
How it's scored
34.1/42Issue resolution81% of issues closed
24.3/30PR acceptance8,838/10,921 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_prs8,838
open_issues1,804
closed_issues7,756
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.811
closed_unmerged_prs2,083
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
25/25Owner reach23,764 followers of apache
25/25Track record3,153 public repos, account ~17 yr old
Inputs used
followers23,764
owner_typeOrganization
is_verified
owner_loginapache
public_repos3,153
account_age_days6,416
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Engineering Quality

Are baseline engineering and documentation practices in place?

69Good · 19% of overall
How it's scored
24/24CI workflows5 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests0 out of 30 merged PRs checked by a CI test -- score normalized to 0
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://mxnet.apache.org
10/10Repository description
10/10Topics1 topics
10/10Wiki
Inputs used
topicsmxnet
has_wikiyes
homepagehttps://mxnet.apache.org
docs_sitehttps://mxnet.apache.org
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

69Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionno data
0/2.5CI-Tests0 out of 30 merged PRs checked by a CI test -- score normalized to 0
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 95 contributing companies or organizations
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
0/7.5Maintainedproject is archived
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
5/5Security-Policysecurity policy file detected
6/7.5Signed-Releases4 out of the last 4 releases have a total of 4 signed artifacts.
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate6.1
Excluded from scoring (no data or not applicable): Branch-Protection, Packaging. 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_packages7
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:mxnet@1.9.1 runtime dependency closure — what installing the published package pulls in — 7 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.

69Good · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history99 of 99 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share1
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrap3rdparty/mshadow/guide/Makefile, 3rdparty/mshadow/guide/exp-template/Makefile, 3rdparty/mshadow/guide/mshadow-ps/Makefile, 3rdparty/mshadow/guide/neuralnet/Makefile, 3rdparty/mshadow/test/Makefile, docs/cpp_docs/Makefile, docs/python_docs/python/Makefile, docs/static_site/Makefile, example/extensions/lib_api/Makefile, example/extensions/lib_custom_op/Makefile, example/extensions/lib_pass/Makefile, example/extensions/lib_subgraph/Makefile
22/22Automated tests
0/11Lint / format config
11/11Static type checkingC++ (statically typed)
10/10Reproducible environmentDockerfile, lockfile
0/10Demonstrated agent practiceno agent-authored commits among the last 100
8/8Automated maintenance1 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
lockfilesGemfile.lock
has_dockerfileyes
typed_languageyes
bootstrap_files3rdparty/mshadow/guide/Makefile, 3rdparty/mshadow/guide/exp-template/Makefile, 3rdparty/mshadow/guide/mshadow-ps/Makefile, 3rdparty/mshadow/guide/neuralnet/Makefile, 3rdparty/mshadow/test/Makefile, docs/cpp_docs/Makefile, docs/python_docs/python/Makefile, docs/static_site/Makefile, example/extensions/lib_api/Makefile, example/extensions/lib_custom_op/Makefile, example/extensions/lib_pass/Makefile, example/extensions/lib_subgraph/Makefile
has_devcontainerno
has_linter_configno
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0.01
How it's scored
45/45Type-checkable codeC++ (statically typed)
53.2/55Manageable file sizes55/1,689 source files over 60KB
Inputs used
primary_languageC++
largest_source_bytes483,556
source_files_sampled1,689
oversized_source_files55
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 examplesexample, notebooks
Inputs used
example_dirsexample, notebooks
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

20,812GitHub stars
100contributors
0commits, last 12 months
1,021days since last push
34releases
12bus factor
1,804open issues
PyPIpackage ecosystems

Data collection warnings

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

More detail

Star and fork history 0 ★ / 6,688 ⇿
0Stars
6,688Forks
16Releases

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.

Only the most recent history is shown — this repository exceeds the collection window, so the earliest history is not captured.

5,5005,7506,0006,2506,5006,7506,688152019-122023-032026-07
Major 0Minor 4Patch 3

Each point covers 6 days.

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 · 2026-08-12 20:17 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
0CI-Tests0 out of 30 merged PRs checked by a CI test -- score normalized to 0
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
10Contributorsproject has 95 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintainedproject is archived
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
10Security-Policysecurity policy file detected
8Signed-Releases4 out of the last 4 releases have a total of 4 signed artifacts.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
All dependencies 40

Full resolved dependency set from the GitHub dependency graph: 0 direct and 40 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIboto31.26.48indirect
PyPIcontextvarsindirect
PyPIdocker3.5.0indirect
PyPIgraphvizindirect
PyPInumpyindirect
PyPIonnxindirect
PyPIpyyaml5.1indirect
PyPIrequestsindirect
RubyGemsaddressable2.7.0indirect
RubyGemscolorator1.1.0indirect
RubyGemsconcurrent-ruby1.1.6indirect
RubyGemsem-websocket0.5.1indirect
RubyGemseventmachine1.2.7indirect
RubyGemsffi1.12.2indirect
RubyGemsforwardable-extended2.6.0indirect
RubyGemshttp_parser.rb0.6.0indirect
RubyGemsi18n1.8.2indirect
RubyGemsjekyll4.0.0indirect
RubyGemsjekyll-feed0.13.0indirect
RubyGemsjekyll-sass-converter2.1.0indirect
RubyGemsjekyll-seo-tag2.6.1indirect
RubyGemsjekyll-watch2.2.1indirect
RubyGemskramdown2.1.0indirect
RubyGemskramdown-parser-gfm1.1.0indirect
RubyGemsliquid4.0.3indirect
RubyGemslisten3.2.1indirect
RubyGemsmercenary0.3.6indirect
RubyGemspathutil0.16.2indirect
RubyGemspublic_suffix4.0.3indirect
RubyGemsrb-fsevent0.10.3indirect
RubyGemsrb-inotify0.10.1indirect
RubyGemsrouge3.17.0indirect
RubyGemssafe_yaml1.0.5indirect
RubyGemssassc2.2.1indirect
RubyGemsterminal-table1.8.0indirect
RubyGemsthread_safe0.3.6indirect
RubyGemstzinfo1.2.10indirect
RubyGemstzinfo-data1.2019.3indirect
RubyGemsunicode-display_width1.7.0indirect
RubyGemswdm0.1.1indirect
Dependency advisories 0

Installing pypi:mxnet@1.9.1 pulls in 7 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.