Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-22 13:46 UTC

tensorcircuit / tensorcircuit-ng

Next-gen AI-native tensor-network-based quantum software framework

PythonApache-2.0★ 87 stars⑂ 23 forkssince Aug 2024View on GitHub ↗
KindLibraryhow this is determined
#jax#machine-learning#nisq#open-quantum-systems#pytorch#quantum-algorithm#quantum-circuit#quantum-computing#quantum-dynamics#quantum-hardware#quantum-noise#tensor-network#tensorflow#quantum-machine-learning#automatic-differentiation#gpu#quantum-simulation#distributed-training#ai-agent#quantum-error-correction

tensorcircuit/tensorcircuit-ng holds a health index of 75 out of 100, placing it in the Good band. It scores highest on Engineering Quality (88/100) and lowest on Security (21/100). It was last updated 10 days ago. A single contributor accounts for most of its recent work.

75
overall / 100
Good

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.

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

Ownership

TensorCircuitOrganization
14 followers4 public repossince Dec 2023

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPItensorcircuit-ng1.9.12,1491511 days ago

Metrics by category

Vitality

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

85Excellent · 21% of overall

Development activity

80Excellent
How it's scored
28.8/36Push recency — last push 10 days ago
25.6/36Commit cadence — 37/52 weeks with commits
18/18Commit volume — 675 commits in the last year
0/10OpenSSF Scorecard: Maintained — no data
Inputs used
commits_last_year675
human_commit_share0.97
days_since_last_push10
active_weeks_last_year37

Release discipline

92Excellent
How it's scored
27/27Ships releases — 13 releases published
36/36Release recency — latest release 11 days ago
19.8/27Release cadence — a release every ~61.7 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count13
latest_release_tagv1.9.1
releases_from_tagsno
days_since_latest_release11
mean_days_between_releases61.7

Community & Adoption

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

61Moderate · 17% of overall

Popularity & adoption

43Weak
How it's scored
31.4/60Stars — 87 stars
11.2/25Forks — 23 forks
0/15Watchers — 1 watchers
Inputs used
forks23
stars87
watchers1
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 (Apache-2.0)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges6
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesshields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

56Moderate
How it's scored
44.4/80Monthly downloads — 2,149 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagestensorcircuit-ng
dependents—
ecosystemspypi
total_downloads—
monthly_downloads2,149
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?

60Moderate · 23% of overall

Maintainer resilience (bus factor)

32At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
6.7/22.5Commit distribution — top contributor authored 70% of commits
13.5/13.5Contributor breadth — 34 contributors
0/10OpenSSF Scorecard: Contributors — no data
Inputs used
bus_factor1
contributors_sampled34
top_contributor_share0.703

Issue & PR responsiveness

74Good
How it's scored
28/42Issue resolution — 67% of issues closed
25.3/30PR acceptance — 75/89 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — no data
Inputs used
merged_prs75
open_issues7
closed_issues14
prs_merged_7d0
prs_decided_7d0
prs_merged_30d1
prs_decided_30d2
issue_closed_ratio0.667
closed_unmerged_prs14
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

49Weak
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
8.5/25Owner reach — 14 followers of tensorcircuit
10.4/25Track record — 4 public repos, account ~2 yr old
Inputs used
followers14
owner_typeOrganization
is_verifiedno
owner_logintensorcircuit
public_repos4
account_age_days970

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 11 days ago
20/20Version history — 15 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagestensorcircuit-ng
ecosystemspypi
any_deprecatedno
min_days_since_publish11

Engineering Quality

Are baseline engineering and documentation practices in place?

88Excellent · 19% of overall

Engineering practices

80Excellent
How it's scored
24/24CI workflows — 2 workflow(s)
24/24Tests present
16/16Linter config — .pylintrc
0/9.6Pre-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_configno

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://tensorcircuit-ng.readthedocs.io/en/latest/platform/index.html
10/10Repository description
10/10Topics — 20 topics
10/10Wiki
Inputs used
topicsjax, machine-learning, nisq, open-quantum-systems, pytorch, quantum-algorithm, quantum-circuit, quantum-computing, quantum-dynamics, quantum-hardware, quantum-noise, tensor-network, tensorflow, quantum-machine-learning, automatic-differentiation, gpu, quantum-simulation, distributed-training, ai-agent, quantum-error-correction
has_wikiyes
homepagehttps://tensorcircuit-ng.readthedocs.io/en/latest/platform/index.html
docs_sitehttps://tensorcircuit-ng.readthedocs.io/en/latest/platform/index.html
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

21At Risk · 16% of overall

Security posture

1Critical
How it's scored
0/30Security policy (SECURITY.md)
0/25Dependabot config
0/25Dependency lockfiles — published library — lockfiles are an application concern, not expected
0/20CodeQL workflow
Inputs used
sourcefile_signals
lockfiles—
manifestsbenchmarks/requirements.txt, pyproject.toml, requirements/requirements-2411.txt, requirements/requirements-dev.txt, requirements/requirements-docker-v2.txt, requirements/requirements-docker.txt, requirements/requirements-extra.txt, requirements/requirements-rtd.txt, requirements/requirements-types.txt, requirements/requirements.txt, setup.py
has_codeql_workflowno
has_security_policyno
has_dependabot_configno
Excluded from scoring (no data or not applicable): Dependency lockfiles. 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_packages9
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:tensorcircuit-ng@1.9.1 runtime dependency closure — what installing the published package pulls in — 9 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.

68Good · 4% of overall

Agent context & guidance

52Moderate
How it's scored
45/45Agent instructions — AGENTS.md, CLAUDE.md
0/15Machine-readable docs (llms.txt)
7.1/40Legible commit history — 13 of 97 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.134
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes6,038

Verify loop (build / test / typecheck)

72Good
How it's scored
18/18One-command bootstrap — docs/Makefile
22/22Automated tests
11/11Lint / format config — .pylintrc
0/11Static type checking
10/10Reproducible environment — devcontainer, Dockerfile
4/10Demonstrated agent practice — 2 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — no data
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileyes
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontaineryes
has_linter_configyes
typecheck_configs—
agent_commit_share0.02
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

54Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
54/55Manageable file sizes — 7/388 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes146,052
source_files_sampled388
oversized_source_files7

Machine-readable interfaces

100Exceptional
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, notebooks
Inputs used
example_dirsexamples, 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

87GitHub stars
34contributors
675commits, last 12 months
10days since last push
13releases
1bus factor
7open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • OpenSSF Scorecard did not return a usable result (2026/08/22 13:44:32 Warning: PATs stored in env variables GITHUB_AUTH_TOKEN and GITHUB_TOKEN differ. Scorecard will use the former.); skipping Scorecard checks

More detail

Star and fork history 0 ★ / 23 ⇿
0Stars
23Forks
10Releases

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.

048121620242322024-122025-102026-08
Major 0Minor 8Patch 2

Each point covers 2 days.

Direct dependencies 5
RegistryPackageVersion constraintManifest
PyPInumpy—pyproject.toml
PyPIscipy—pyproject.toml
PyPItensornetwork-ng—pyproject.toml
PyPInetworkx—pyproject.toml
PyPIsympy—pyproject.toml
All dependencies 316

Full resolved dependency set from the GitHub dependency graph: 13 direct and 303 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPInetworkx—direct
PyPInetworkx3.4.2direct
PyPInumpy—direct
PyPInumpy1.23.5direct
PyPInumpy1.26.4direct
PyPIscipy—direct
PyPIscipy1.10.1direct
PyPIscipy1.14.1direct
PyPIsympy—direct
PyPIsympy1.12direct
PyPIsympy1.13.1direct
PyPItensornetwork-ng—direct
PyPItensornetwork-ng0.5.0direct
PyPIabsl-py2.1.0indirect
PyPIalabaster1.0.0indirect
PyPIannotated-types0.7.0indirect
PyPIanyio4.6.2.post1indirect
PyPIastroid3.3.5indirect
PyPIasttokens3.0.0indirect
PyPIastunparse1.6.3indirect
PyPIattrs24.2.0indirect
PyPIbabel2.16.0indirect
PyPIbaytune—indirect
PyPIbeautifulsoup44.12.3indirect
PyPIblack—indirect
PyPIblack23.3.0indirect
PyPIblack24.10.0indirect
PyPIbleach6.2.0indirect
PyPIbuild—indirect
PyPIcachetools5.5.0indirect
PyPIcertifi2024.8.30indirect
PyPIcffi1.17.1indirect
PyPIcharset-normalizer3.4.0indirect
PyPIchex0.1.87indirect
PyPIcirq—indirect
PyPIcirq1.1.0indirect
PyPIcirq1.4.1indirect
PyPIcirq-aqt1.4.1indirect
PyPIcirq-core1.4.1indirect
PyPIcirq-google1.4.1indirect
PyPIcirq-ionq1.4.1indirect
PyPIcirq-pasqal1.4.1indirect
PyPIcirq-rigetti1.4.1indirect
PyPIcirq-web1.4.1indirect
PyPIclick8.1.7indirect
PyPIcontourpy1.3.1indirect
PyPIcotengra—indirect
PyPIcoverage7.6.8indirect
PyPIcryptography44.0.0indirect
PyPIcupy-cuda11x12.0.0indirect
PyPIcycler0.12.1indirect
PyPIcython3.0.11indirect
PyPIdecorator5.1.1indirect
PyPIdefusedxml0.7.1indirect
PyPIdeprecated1.2.15indirect
PyPIdeprecation2.1.0indirect
PyPIdill0.3.9indirect
PyPIdocutils0.21.2indirect
PyPIduet0.2.9indirect
PyPIetils1.11.0indirect
PyPIexceptiongroup1.2.2indirect
PyPIexecnet2.1.1indirect
PyPIexecuting2.1.0indirect
PyPIfastjsonschema2.21.0indirect
PyPIfilelock3.16.1indirect
PyPIflatbuffers24.3.25indirect
PyPIfonttools4.55.0indirect
PyPIfsspec2024.10.0indirect
PyPIfuro—indirect
PyPIfuro2024.8.6indirect
PyPIgast0.6.0indirect
PyPIgoogle-api-core2.23.0indirect
PyPIgoogle-auth2.36.0indirect
PyPIgoogle-pasta0.2.0indirect
PyPIgoogleapis-common-protos1.66.0indirect
PyPIgraphviz—indirect
PyPIgraphviz0.20.3indirect
PyPIgrpc-interceptor0.15.4indirect
PyPIgrpcio1.68.0indirect
PyPIgrpcio-status1.62.3indirect
PyPIh110.14.0indirect
PyPIh5py3.12.1indirect
PyPIhttpcore1.0.7indirect
PyPIhttpx0.28.0indirect
PyPIibm-cloud-sdk-core3.22.0indirect
PyPIibm-platform-services0.59.0indirect
PyPIidna3.10indirect
PyPIimagesize1.4.1indirect
PyPIiniconfig2.0.0indirect
PyPIipykernel—indirect
PyPIipython8.30.0indirect
PyPIisort5.13.2indirect
PyPIjax—indirect
PyPIjax0.2.21indirect
PyPIjax0.3.4indirect
PyPIjax0.4.35indirect
PyPIjax0.4.7indirect
PyPIjax0.7.0indirect
PyPIjaxlib0.4.35indirect
PyPIjaxlib0.7.0indirect
PyPIjedi0.19.2indirect
PyPIjinja23.1.4indirect
PyPIjsonschema4.23.0indirect
PyPIjsonschema-specifications2024.10.1indirect
PyPIjupyter—indirect
PyPIjupyter-client8.6.3indirect
PyPIjupyter-core5.7.2indirect
PyPIjupyterlab-pygments0.3.0indirect
PyPIkahypar—indirect
PyPIkeras3.7.0indirect
PyPIkiwisolver1.4.7indirect
PyPIlibclang18.1.1indirect
PyPImarkdown3.7indirect
PyPImarkdown-it-py3.0.0indirect
PyPImarkupsafe3.0.2indirect
PyPImatplotlib—indirect
PyPImatplotlib3.9.2indirect
PyPImatplotlib-inline0.1.7indirect
PyPImccabe0.7.0indirect
PyPImdit-py-plugins0.4.2indirect
PyPImdurl0.1.2indirect
PyPImistune3.0.2indirect
PyPImitiq—indirect
PyPImitiq0.26.0indirect
PyPImitiq0.41.0indirect
PyPIml-dtypes0.4.1indirect
PyPImpmath1.3.0indirect
PyPImsgpack1.1.0indirect
PyPImthree—indirect
PyPImthree1.1.0indirect
PyPImthree2.7.0indirect
PyPImypy1.11.2indirect
PyPImypy1.13.0indirect
PyPImypy1.2.0indirect
PyPImypy1.3.0indirect
PyPImypy-extensions1.0.0indirect
PyPImyst-parser—indirect
PyPImyst-parser4.0.0indirect
PyPInamex0.0.8indirect
PyPInbclient0.10.1indirect
PyPInbconvert7.16.4indirect
PyPInbformat5.10.4indirect
PyPInbsphinx—indirect
PyPInbsphinx0.9.5indirect
PyPInevergrad—indirect
PyPIomeco—indirect
PyPIopenfermion—indirect
PyPIopenfermion1.6.1indirect
PyPIopenfermionpyscf—indirect
PyPIopt-einsum3.4.0indirect
PyPIoptax—indirect
PyPIoptax0.1.5indirect
PyPIoptax0.2.4indirect
PyPIoptree0.13.1indirect
PyPIoptuna—indirect
PyPIorjson3.10.12indirect
PyPIpackaging23.2indirect
PyPIpandas2.2.3indirect
PyPIpandocfilters1.5.1indirect
PyPIparso0.8.4indirect
PyPIpathspec0.12.1indirect
PyPIpbr6.1.0indirect
PyPIpennylane—indirect
PyPIpennylane0.18indirect
PyPIpennylane0.30.0indirect
PyPIpexpect4.9.0indirect
PyPIphysics-tenpy1.0.6indirect
PyPIpillow—indirect
PyPIpillow11.0.0indirect
PyPIplatformdirs4.3.6indirect
PyPIpluggy1.5.0indirect
PyPIply3.11indirect
PyPIprompt-toolkit3.0.48indirect
PyPIproto-plus1.25.0indirect
PyPIprotobuf4.25.5indirect
PyPIpsutil6.1.0indirect
PyPIptyprocess0.7.0indirect
PyPIpubchempy1.0.4indirect
PyPIpure-eval0.2.3indirect
PyPIpy-cpuinfo—indirect
PyPIpy-cpuinfo9.0.0indirect
PyPIpyasn10.6.1indirect
PyPIpyasn1-modules0.4.1indirect
PyPIpycparser2.22indirect
PyPIpydantic2.10.2indirect
PyPIpydantic-core2.27.1indirect
PyPIpygments2.18.0indirect
PyPIpyjwt2.10.1indirect
PyPIpylatexenc—indirect
PyPIpylatexenc2.10indirect
PyPIpylint—indirect
PyPIpylint3.2.6indirect
PyPIpylint3.3.1indirect
PyPIpyparsing3.2.0indirect
PyPIpyquil4.14.3indirect
PyPIpyspnego0.11.2indirect
PyPIpytest—indirect
PyPIpytest7.4.4indirect
PyPIpytest-benchmark—indirect
PyPIpytest-benchmark5.0.1indirect
PyPIpytest-cov—indirect
PyPIpytest-cov6.0.0indirect
PyPIpytest-lazy-fixture—indirect
PyPIpytest-lazy-fixture0.6.3indirect
PyPIpytest-xdist—indirect
PyPIpytest-xdist3.6.1indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-rapidjson1.20indirect
PyPIpytz2024.2indirect
PyPIpyyaml—indirect
PyPIpyyaml6.0.2indirect
PyPIpyzmq26.2.0indirect
PyPIpyzx-param—indirect
PyPIpyzx-param0.9.3indirect
PyPIqcs-api-client-common0.10.0indirect
PyPIqcs-sdk-python0.21.4indirect
PyPIqiskit—indirect
PyPIqiskit1.2.4indirect
PyPIqiskit-aer—indirect
PyPIqiskit-aer0.15.1indirect
PyPIqiskit-algorithms0.3.1indirect
PyPIqiskit-ibm-runtime0.33.2indirect
PyPIqiskit-nature—indirect
PyPIqiskit-nature0.7.2indirect
PyPIquil0.13.2indirect
PyPIquimb—indirect
PyPIquimb1.11.1indirect
PyPIreferencing0.35.1indirect
PyPIrequests2.32.3indirect
PyPIrequests-ntlm1.3.0indirect
PyPIrich13.9.4indirect
PyPIrpcq3.11.0indirect
PyPIrpds-py0.21.0indirect
PyPIrsa4.9indirect
PyPIruamel-yaml0.18.6indirect
PyPIruamel-yaml-clib0.2.12indirect
PyPIrustworkx0.15.1indirect
PyPIscikit-learn—indirect
PyPIscikit-learn1.2.2indirect
PyPIscikit-optimize—indirect
PyPIsetuptools—indirect
PyPIsix1.16.0indirect
PyPIsniffio1.3.1indirect
PyPIsnowballstemmer2.2.0indirect
PyPIsortedcontainers2.4.0indirect
PyPIsoupsieve2.6indirect
PyPIsphinx—indirect
PyPIsphinx8.1.3indirect
PyPIsphinx-basic-ng1.0.0b2indirect
PyPIsphinx-copybutton—indirect
PyPIsphinx-copybutton0.5.2indirect
PyPIsphinx-design—indirect
PyPIsphinx-design0.6.1indirect
PyPIsphinx-intl—indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPIstack-data0.6.3indirect
PyPIstevedore5.4.0indirect
PyPIstim—indirect
PyPIsymengine0.13.0indirect
PyPItabulate0.9.0indirect
PyPItensorboard2.18.0indirect
PyPItensorboard-data-server0.7.2indirect
PyPItensorflow—indirect
PyPItensorflow2.11indirect
PyPItensorflow2.18.0indirect
PyPItensorflow2.20indirect
PyPItensorflow2.4.1indirect
PyPItensorflow2.7indirect
PyPItensorflow-io-gcs-filesystem0.37.1indirect
PyPItensorflow-quantum0.5.1indirect
PyPItensornetwork—indirect
PyPItensornetwork0.4.5indirect
PyPItensornetwork0.4.6indirect
PyPItermcolor2.5.0indirect
PyPItinycss21.4.0indirect
PyPItokenize-rt6.1.0indirect
PyPItomli2.2.1indirect
PyPItomlkit0.13.2indirect
PyPItoolz1.0.0indirect
PyPItorch—indirect
PyPItorch2.5.1indirect
PyPItorchvision—indirect
PyPItornado6.4.2indirect
PyPItqdm4.67.1indirect
PyPItraitlets5.14.3indirect
PyPItypes-deprecated1.2.15.20241117indirect
PyPItypes-docutils—indirect
PyPItypes-docutils0.21.0.20241128indirect
PyPItypes-protobuf—indirect
PyPItypes-protobuf5.28.3.20241030indirect
PyPItypes-pytz—indirect
PyPItypes-pytz2024.2.0.20241003indirect
PyPItypes-requests—indirect
PyPItypes-requests2.32.0.20241016indirect
PyPItypes-setuptools—indirect
PyPItypes-setuptools75.6.0.20241126indirect
PyPItypes-toml—indirect
PyPItypes-toml0.10.8.20240310indirect
PyPItypes-typed-ast—indirect
PyPItypes-typed-ast1.5.8.7indirect
PyPItypes-urllib3—indirect
PyPItypes-urllib31.26.25.14indirect
PyPItyping-extensions4.12.2indirect
PyPItzdata2024.2indirect
PyPIurllib31.26.15indirect
PyPIurllib32.2.3indirect
PyPIwcwidth0.2.13indirect
PyPIwebencodings0.5.1indirect
PyPIwebsocket-client1.8.0indirect
PyPIwerkzeug3.1.3indirect
PyPIwrapt1.17.0indirect
Dependency advisories 0

Installing pypi:tensorcircuit-ng@1.9.1 pulls in 9 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.

Related records

Inspected repositories sharing catalogue tags or ecosystems with tensorcircuit/tensorcircuit-ng. Read them side by side →

98PennyLaneAI/pennylanePennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.Exceptional100wandb/wandbThe AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.Exceptional99quantumlib/CirqPython framework for creating, editing, and running Noisy Intermediate-Scale Quantum (NISQ) circuits.Exceptional98keras-team/kerasDeep Learning for humansExceptional96keras-team/keras-hubPretrained model hub for Keras 3.Exceptional96iree-org/ireeA retargetable MLIR-based machine learning compiler and runtime toolkit.Exceptional

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.