Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-21 20:47 UTC

SkyeAv / Tablassert

Tablassert turns biomedical spreadsheets (Excel, CSV, TSV) into knowledge graphs ready for NCATS Translator. Declare how your columns map to subject–predicate–object statements in YAML; Tablassert resolves free text to standard CURIEs, attaches provenance and statistical annotations, and emits KGX-compliant nodes and edges.

Python · RustApache-2.0★ 6 stars⑂ 0 forkssince Feb 2025View on GitHub ↗
KindLibraryCommand-line toolhow this is determined
#knowledge-graph#ncats-translator#table-mining#declarative-pipeline#tablassert#yaml-configuration#ner#bioinformatics#data-quality-control#entity-resolution#kgx#agentic-ai#dsl#python

SkyeAv/Tablassert holds a health index of 77 out of 100, placing it in the Good band. It scores highest on Engineering Quality (96/100) and lowest on Security (37/100). It was last updated today. A single contributor accounts for most of its recent work.

77
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.

77
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 66 is calibrated to 77 on the published index scale (record calibration 2026-08-02).

Ownership

Skye Lane GoetzPersonal account
12 followers31 public repossince Jun 2024@glusman-team

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
PyPItablassert19.2.011,318680 days agoknowledge-graphkgxncats-translatorbiolinkbioinformaticsbiomedical-dataentity-resolutiontabular-datayaml-configurationdeclarative-pipelinequality-controlllm-agent

Metrics by category

Vitality

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

87Excellent · 21% of overall

Development activity

86Excellent
How it's scored
36/36Push recency — last push 0 days ago
22.2/36Commit cadence — 32/52 weeks with commits
18/18Commit volume — 801 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year801
human_commit_share1
days_since_last_push0
active_weeks_last_year32

Release discipline

88Excellent
How it's scored
16.2/27Ships releases — 58 version tags (no GitHub releases)
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~1.9 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count58
latest_release_tagv19.2.0
releases_from_tagsyes
days_since_latest_release0
mean_days_between_releases1.9
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?

48Weak · 17% of overall

Popularity & adoption

11Critical
How it's scored
11.3/60Stars — 6 stars
0/25Forks — 0 forks
0/15Watchers — 1 watchers
Inputs used
forks0
stars6
watchers1
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

77Good
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges6
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesbadge.fury.io, github.com, shields.io
has_pull_request_templateyes

Ecosystem adoption (downloads)

68Good
How it's scored
54.1/80Monthly downloads — 11,318 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagestablassert
dependents—
ecosystemspypi
total_downloads—
monthly_downloads11,318
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?

52Moderate · 23% of overall

Maintainer resilience (bus factor)

16Critical
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0/22.5Commit distribution — top contributor authored 100% of commits
1.4/13.5Contributor breadth — 1 contributors
6/10OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6
Inputs used
bus_factor1
contributors_sampled1
top_contributor_share1

Issue & PR responsiveness

65Good
How it's scored
0/42Issue resolution — no issues or no data
29.4/30PR acceptance — 186/190 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0
Inputs used
merged_prs186
open_issues0
closed_issues0
prs_merged_7d39
prs_decided_7d39
prs_merged_30d60
prs_decided_30d60
issue_closed_ratio—
closed_unmerged_prs4
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Issue resolution, Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

42Weak
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
8/25Owner reach — 12 followers of SkyeAv
15.5/25Track record — 31 public repos, account ~2 yr old
Inputs used
followers12
owner_typeUser
is_verified—
owner_loginSkyeAv
public_repos31
account_age_days823
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 — 68 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagestablassert
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 4 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff]), rust/Cargo.toml ([lints])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 26 out of 26 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://skyeav.github.io/Tablassert/
10/10Repository description
10/10Topics — 14 topics
10/10Wiki
Inputs used
topicsknowledge-graph, ncats-translator, table-mining, declarative-pipeline, tablassert, yaml-configuration, ner, bioinformatics, data-quality-control, entity-resolution, kgx, agentic-ai, dsl, python
has_wikiyes
homepage—
docs_sitehttps://skyeav.github.io/Tablassert/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

37Weak · 16% of overall

Security posture

37Weak
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
2.5/2.5CI-Tests — 26 out of 26 merged PRs checked by a CI test -- score normalized to 10
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
1.5/2.5Contributors — project has 2 contributing companies or organizations -- score normalized to 6
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 0 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 — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 12 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate3.7
Excluded from scoring (no data or not applicable): 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.

79Good · 4% of overall

Agent context & guidance

100Exceptional
How it's scored
45/45Agent instructions — docs/agent.md
15/15Machine-readable docs (llms.txt) — llms.txt present
40/40Legible commit history — 100 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_url—
legible_history_share1
agent_instruction_filesdocs/agent.md
agent_instruction_max_bytes55,727

Verify loop (build / test / typecheck)

67Good
How it's scored
18/18One-command bootstrap — Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff]), rust/Cargo.toml ([lints])
0/11Static type checking
10/10Reproducible environment — lockfile
6/10Demonstrated agent practice — 3 of the last 100 commits agent-authored or agent-credited
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
lockfilesCargo.lock, uv.lock
has_dockerfileno
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.03
toolchain_manifestsrust/Cargo.toml
dependency_bot_commit_share0

Code legibility for models

48Weak
How it's scored
0/45Type-checkable code — Python without a type-check config
48/55Manageable file sizes — 14/110 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes309,648
source_files_sampled110
oversized_source_files14

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
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

6GitHub stars
1contributors
801commits, last 12 months
0days since last push
58releases
1bus factor
0open issues
crates.io, PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Could not fetch crates package 'tablassert-rs' from its registry
  • deps.dev does not index pypi:tablassert@19.2.0; advisories assessed against the repository dependency graph instead
  • OSV advisory lookup failed: [Errno 101] Network is unreachable

More detail

OpenSSF Scorecard 3.7 / 10
3.7aggregate

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 · 2026-09-21 20:47 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
10CI-Tests26 out of 26 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/30 approved changesets -- score normalized to 0
6Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 0 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
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities12 existing vulnerabilities detected
Direct dependencies 22
RegistryPackageVersion constraintManifest
PyPIbiolink-model>=4.4.4pyproject.toml
PyPIpolars>=1.39.0pyproject.toml
PyPIrapidfuzz>=3.14.3pyproject.toml
PyPIpydantic>=2.12.5pyproject.toml
PyPIpyyaml>=6.0.3pyproject.toml
PyPIfastexcel>=0.20.2pyproject.toml
crates.iobincode1rust/Cargo.toml
crates.ioflate21rust/Cargo.toml
crates.iomemmap20.9rust/Cargo.toml
crates.iomimalloc0.1rust/Cargo.toml
crates.iopyo30.29rust/Cargo.toml
crates.iorayon1rust/Cargo.toml
crates.ioredb—rust/Cargo.toml
crates.iorlimit0.10rust/Cargo.toml
crates.iorustc-hash1rust/Cargo.toml
crates.iorust-stemmers1rust/Cargo.toml
crates.ioserde1rust/Cargo.toml
crates.ioserde_json1rust/Cargo.toml
crates.iotar0.4rust/Cargo.toml
crates.iouuid1rust/Cargo.toml
crates.ioxxhash-rust0.8rust/Cargo.toml
crates.iozstd0.13rust/Cargo.toml
All dependencies 255

Full resolved dependency set from the GitHub dependency graph: 22 direct and 233 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
crates.iobincode1.3.3direct
crates.ioflate21.1.9direct
crates.iomemmap20.9.11direct
crates.iomimalloc0.1.52direct
crates.iopyo30.29.0direct
crates.iorayon1.12.0direct
crates.ioredb4.1.0direct
crates.iorlimit0.10.2direct
crates.iorust-stemmers1.2.0direct
crates.iorustc-hash1.1.0direct
crates.ioserde1.0.228direct
crates.ioserde_json1.0.150direct
crates.iotar0.4.46direct
crates.iouuid1.24.0direct
crates.ioxxhash-rust0.8.17direct
crates.iozstd0.13.3direct
PyPIbiolink-model4.4.4direct
PyPIfastexcel0.20.2direct
PyPIpolars1.40.1direct
PyPIpydantic2.13.3direct
PyPIpyyaml6.0.3direct
PyPIrapidfuzz3.14.5direct
crates.ioadler22.0.1indirect
crates.iobitflags2.13.1indirect
crates.ioblock-buffer0.10.4indirect
crates.iobumpalo3.20.3indirect
crates.iocc1.3.0indirect
crates.iocfg-if1.0.4indirect
crates.iocrossbeam-deque0.8.7indirect
crates.iocrossbeam-epoch0.9.20indirect
crates.iocrossbeam-utils0.8.22indirect
crates.iocrypto-common0.1.7indirect
crates.iodigest0.10.7indirect
crates.ioeither1.16.0indirect
crates.ioequivalent1.0.2indirect
crates.ioerrno0.3.14indirect
crates.iofastrand2.4.1indirect
crates.iofiletime0.2.29indirect
crates.iofind-msvc-tools0.1.9indirect
crates.iofutures-core0.3.32indirect
crates.iofutures-task0.3.32indirect
crates.iofutures-util0.3.32indirect
crates.iogeneric-array0.14.7indirect
crates.iogetrandom0.4.3indirect
crates.iohashbrown0.17.1indirect
crates.ioheck0.5.0indirect
crates.ioindexmap2.14.0indirect
crates.ioitoa1.0.18indirect
crates.iojobserver0.1.35indirect
crates.iojs-sys0.3.103indirect
crates.iolibc0.2.186indirect
crates.iolibmimalloc-sys0.1.49indirect
crates.iolinux-raw-sys0.12.1indirect
crates.iomd-50.10.6indirect
crates.iomemchr2.8.3indirect
crates.iominiz_oxide0.8.9indirect
crates.ioonce_cell1.21.4indirect
crates.iopin-project-lite0.2.17indirect
crates.iopkg-config0.3.34indirect
crates.ioportable-atomic1.13.1indirect
crates.ioproc-macro21.0.106indirect
crates.iopyo3-build-config0.29.0indirect
crates.iopyo3-ffi0.29.0indirect
crates.iopyo3-macros0.29.0indirect
crates.iopyo3-macros-backend0.29.0indirect
crates.ioquote1.0.46indirect
crates.ior-efi6.0.0indirect
crates.iorayon-core1.13.0indirect
crates.iorustix1.1.4indirect
crates.iorustversion1.0.23indirect
crates.ioserde_core1.0.228indirect
crates.ioserde_derive1.0.228indirect
crates.ioshlex2.0.1indirect
crates.iosimd-adler320.3.10indirect
crates.ioslab0.4.12indirect
crates.iosyn2.0.119indirect
crates.iotarget-lexicon0.13.5indirect
crates.iotempfile3.27.0indirect
crates.iotypenum1.20.1indirect
crates.iounicode-ident1.0.24indirect
crates.ioversion_check0.9.5indirect
crates.iowasm-bindgen0.2.126indirect
crates.iowasm-bindgen-macro0.2.126indirect
crates.iowasm-bindgen-macro-support0.2.126indirect
crates.iowasm-bindgen-shared0.2.126indirect
crates.iowindows-link0.2.1indirect
crates.iowindows-sys0.61.2indirect
crates.ioxattr1.6.1indirect
crates.iozlib-rs0.6.7indirect
crates.iozmij1.0.23indirect
crates.iozstd-safe7.2.4indirect
crates.iozstd-sys2.0.16+zstd.1.5.7indirect
PyPIaiohappyeyeballs2.7.1indirect
PyPIaiohttp3.14.3indirect
PyPIaiosignal1.4.0indirect
PyPIannotated-types0.7.0indirect
PyPIanyio4.14.2indirect
PyPIaria20.0.1b0indirect
PyPIasyncer0.0.8indirect
PyPIattrs26.1.0indirect
PyPIbabel2.18.0indirect
PyPIbackports-zstd1.6.0indirect
PyPIbackrefs7.0indirect
PyPIcachetools7.1.6indirect
PyPIcertifi2026.4.22indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer3.4.7indirect
PyPIclick8.4.2indirect
PyPIcloudpickle3.1.2indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.14.3indirect
PyPIcuda-bindings13.2.0indirect
PyPIcuda-pathfinder1.5.4indirect
PyPIcuda-toolkit13.0.2indirect
PyPIcuries0.14.1indirect
PyPIcyclopts4.11.2indirect
PyPIdatasets5.0.1indirect
PyPIdeprecated1.3.1indirect
PyPIdill0.4.1indirect
PyPIdiskcache5.6.3indirect
PyPIdistlib0.4.0indirect
PyPIdistro1.9.0indirect
PyPIdocstring-parser0.18.0indirect
PyPIdocutils0.22.4indirect
PyPIdspy3.2.1indirect
PyPIet-xmlfile2.0.0indirect
PyPIexecnet2.1.2indirect
PyPIfastuuid0.14.0indirect
PyPIfilelock3.29.0indirect
PyPIfrozenlist1.8.0indirect
PyPIfsspec2026.4.0indirect
PyPIgepa0.0.27indirect
PyPIghp-import2.1.0indirect
PyPIh110.16.0indirect
PyPIhbreader0.9.1indirect
PyPIhf-xet1.4.3indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx0.28.1indirect
PyPIhuggingface-hub0.36.2indirect
PyPIidentify2.6.19indirect
PyPIidna3.13indirect
PyPIimportlib-metadata8.9.0indirect
PyPIiniconfig2.3.0indirect
PyPIjinja23.1.6indirect
PyPIjiter0.16.0indirect
PyPIjoblib1.5.3indirect
PyPIjson-flattener0.1.9indirect
PyPIjson-repair0.61.7indirect
PyPIjsonasobj21.0.4indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIlinkml-runtime1.11.1indirect
PyPIlitellm1.93.0indirect
PyPIloguru0.7.3indirect
PyPImarkdown3.10.2indirect
PyPImarkdown-it-py4.0.0indirect
PyPImarkupsafe3.0.3indirect
PyPImaturin1.14.1indirect
PyPImdurl0.1.2indirect
PyPImergedeep1.3.4indirect
PyPImkdocs1.6.1indirect
PyPImkdocs-get-deps0.2.2indirect
PyPImkdocs-material9.7.7indirect
PyPImkdocs-material-extensions1.3.1indirect
PyPImpmath1.3.0indirect
PyPImultidict6.7.1indirect
PyPImultiprocess0.70.19indirect
PyPInetworkx3.6.1indirect
PyPInodeenv1.10.0indirect
PyPInumpy2.4.4indirect
PyPInvidia-cublas13.1.0.3indirect
PyPInvidia-cuda-cupti13.0.85indirect
PyPInvidia-cuda-nvrtc13.0.88indirect
PyPInvidia-cuda-runtime13.0.96indirect
PyPInvidia-cudnn-cu139.19.0.56indirect
PyPInvidia-cufft12.0.0.61indirect
PyPInvidia-cufile1.15.1.6indirect
PyPInvidia-curand10.4.0.35indirect
PyPInvidia-cusolver12.0.4.66indirect
PyPInvidia-cusparse12.6.3.3indirect
PyPInvidia-cusparselt-cu130.8.0indirect
PyPInvidia-nccl-cu132.28.9indirect
PyPInvidia-nvjitlink13.0.88indirect
PyPInvidia-nvshmem-cu133.4.5indirect
PyPInvidia-nvtx13.0.85indirect
PyPIopenai2.49.0indirect
PyPIopenpyxl3.1.5indirect
PyPIorjson3.11.9indirect
PyPIpackaging26.2indirect
PyPIpaginate0.5.7indirect
PyPIpandas3.0.5indirect
PyPIpathspec1.1.1indirect
PyPIpillow12.3.0indirect
PyPIplatformdirs4.9.6indirect
PyPIpluggy1.6.0indirect
PyPIpolars-runtime-321.40.1indirect
PyPIpolars-runtime-compat1.40.1indirect
PyPIpre-commit4.6.0indirect
PyPIprefixcommons0.1.12indirect
PyPIprefixmaps0.2.6indirect
PyPIpropcache0.5.2indirect
PyPIpyarrow25.0.1indirect
PyPIpydantic-core2.46.3indirect
PyPIpygments2.20.0indirect
PyPIpymdown-extensions11.0.1indirect
PyPIpyparsing3.3.2indirect
PyPIpyright1.1.411indirect
PyPIpystow0.8.21indirect
PyPIpytest9.0.3indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-logging2015.11.4indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-discovery1.3.0indirect
PyPIpython-dotenv1.2.2indirect
PyPIpyyaml-env-tag1.1indirect
PyPIrdflib7.6.0indirect
PyPIreferencing0.37.0indirect
PyPIregex2026.4.4indirect
PyPIrequests2.33.1indirect
PyPIrich15.0.0indirect
PyPIrich-rst1.3.2indirect
PyPIrpds-py2026.6.3indirect
PyPIruff0.15.12indirect
PyPIsafetensors0.7.0indirect
PyPIscikit-learn1.8.0indirect
PyPIscipy1.17.1indirect
PyPIsentence-transformers5.4.1indirect
PyPIsetuptools81.0.0indirect
PyPIsix1.17.0indirect
PyPIsmolagents1.26.0indirect
PyPIsniffio1.3.1indirect
PyPIsympy1.14.0indirect
PyPItablassert19.2.0indirect
PyPItenacity9.1.4indirect
PyPIthreadpoolctl3.6.0indirect
PyPItiktoken0.13.0indirect
PyPItokenizers0.22.2indirect
PyPItomli2.4.1indirect
PyPItorch2.11.0indirect
PyPItqdm4.67.3indirect
PyPItransformers4.57.6indirect
PyPItriton3.6.0indirect
PyPItypeguard4.4.3indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2026.3indirect
PyPIurllib32.6.3indirect
PyPIvirtualenv21.3.1indirect
PyPIwatchdog6.0.0indirect
PyPIwin32-setctime1.2.0indirect
PyPIwrapt2.2.2indirect
PyPIxxhash3.8.1indirect
PyPIyarl1.24.5indirect
PyPIzipp4.1.0indirect
Dependency advisories not assessed

Advisory matching could not run for this report: OSV advisory lookup failed: [Errno 101] Network is unreachable

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 SkyeAv/Tablassert. Read them side by side →

97strands-agents/harness-sdkBuild an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.Exceptional99IBM/mcp-context-forgeAn AI Gateway, registry, and proxy that sits in front of any MCP, A2A, or REST/gRPC APIs, exposing a unified endpoint with centralized discovery, guardrails and management. Optimizes Agent & Tool calling, and supports plugins.Exceptional100deepset-ai/haystackOpen-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.Exceptional99kedro-org/kedroKedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.Exceptional99microsoft/agent-frameworkA framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.Exceptional99ag2ai/ag2AG2 (formerly AutoGen): The Open-Source AgentOS.Join us at: https://discord.gg/sNGSwQME3xExceptional

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.