Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-18 12:26 UTC

numaproj / numaflow-python

Numaflow Python SDK

Python · RustApache-2.0★ 66 stars⑂ 25 forkssince Jul 2022View on GitHub ↗
KindLibraryhow this is determined
#python#numaflow#numaflow-sdk

numaproj/numaflow-python holds a health index of 91 out of 100, placing it in the Excellent band. It scores highest on Vitality (87/100) and lowest on Security (58/100). It was last updated 2 days ago. 4 contributors account for most of its recent work.

91
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.

91
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 77 is calibrated to 91 on the published index scale (record calibration 2026-08-02).

Ownership

numaprojOrganization
152 followers18 public repossince Apr 2022

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIpynumaflow0.14.0-4175 days ago

Metrics by category

Vitality

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

87Excellent · 21% of overall

Development activity

84Excellent
How it's scored
36/36Push recency — last push 2 days ago
20.8/36Commit cadence — 30/52 weeks with commits
17/18Commit volume — 77 commits in the last year
10/10OpenSSF Scorecard: Maintained — 12 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year77
human_commit_share0.92
days_since_last_push2
active_weeks_last_year30

Release discipline

92Excellent
How it's scored
27/27Ships releases — 39 releases published
36/36Release recency — latest release 75 days ago
19.8/27Release cadence — a release every ~56.2 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count39
latest_release_tagv0.14.0
releases_from_tagsno
days_since_latest_release75
mean_days_between_releases56.2
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?

68Good · 17% of overall

Popularity & adoption

47Weak
How it's scored
29.4/60Stars — 66 stars
11.5/25Forks — 25 forks
6.4/15Watchers — 15 watchers
Inputs used
forks25
stars66
watchers15
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
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
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_services—
has_pull_request_templateyes

Sustainability & Governance

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

83Excellent · 23% of overall

Maintainer resilience (bus factor)

84Excellent
How it's scored
43.2/54Bus factor — 4 contributor(s) cover half of all commits
17.4/22.5Commit distribution — top contributor authored 23% of commits
13.5/13.5Contributor breadth — 24 contributors
10/10OpenSSF Scorecard: Contributors — project has 5 contributing companies or organizations
Inputs used
bus_factor4
contributors_sampled24
top_contributor_share0.227

Issue & PR responsiveness

87Excellent
How it's scored
31.6/42Issue resolution — 75% of issues closed
27.1/30PR acceptance — 254/281 decided PRs merged
13/13Newcomer PR acceptance — 2/2 first-time contributors' PRs merged in 30d
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Inputs used
merged_prs254
open_issues23
closed_issues70
prs_merged_7d5
prs_decided_7d5
prs_merged_30d8
prs_decided_30d8
issue_closed_ratio0.753
closed_unmerged_prs27
first_time_authors_30d1
first_time_prs_merged_30d2
first_time_prs_decided_30d2

Ownership & stewardship

64Moderate
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
15.7/25Owner reach — 152 followers of numaproj
18.2/25Track record — 18 public repos, account ~4 yr old
Inputs used
followers152
owner_typeOrganization
is_verifiedno
owner_loginnumaproj
public_repos18
account_age_days1,626

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 75 days ago
20/20Version history — 41 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagespynumaflow
ecosystemspypi
any_deprecatedno
min_days_since_publish75

Engineering Quality

Are baseline engineering and documentation practices in place?

85Excellent · 19% of overall

Engineering practices

92Excellent
How it's scored
24/24CI workflows — 7 workflow(s)
24/24Tests present
16/16Linter config — packages/pynumaflow-lite/pyproject.toml ([tool.ruff]), packages/pynumaflow/pyproject.toml ([tool.ruff], [tool.black])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
18/20OpenSSF Scorecard: CI-Tests — 28 out of 30 merged PRs checked by a CI test -- score normalized to 9
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

75Good
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage site — https://numaproj.io/numaflow-python/
10/10Repository description
10/10Topics — 3 topics
10/10Wiki
Inputs used
topicspython, numaflow, numaflow-sdk
has_wikiyes
homepagehttps://numaproj.io/numaflow-python/
docs_sitehttps://numaproj.io/numaflow-python/
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

58Moderate · 16% of overall

Security posture

47Weak
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 — 28 out of 30 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
7.5/7.5Code-Review — all changesets reviewed
2.5/2.5Contributors — project has 5 contributing companies or organizations
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 — 12 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
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 — 65 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate4.7
Excluded from scoring (no data or not applicable): Branch-Protection, Packaging, Signed-Releases. 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_packages24
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:pynumaflow@0.14.0 runtime dependency closure — what installing the published package pulls in — 24 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

40Weak
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 92 of 92 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—

Verify loop (build / test / typecheck)

72Good
How it's scored
18/18One-command bootstrap — packages/pynumaflow-lite/Makefile, packages/pynumaflow/Makefile, packages/pynumaflow/examples/accumulator/streamsorter/Makefile, packages/pynumaflow/examples/batchmap/concurrent_sink/Makefile, packages/pynumaflow/examples/batchmap/flatmap/Makefile, packages/pynumaflow/examples/map/async_forward_message/Makefile, packages/pynumaflow/examples/map/even_odd/Makefile, packages/pynumaflow/examples/map/flatmap/Makefile, packages/pynumaflow/examples/map/forward_message/Makefile, packages/pynumaflow/examples/map/multiproc_map/Makefile, packages/pynumaflow/examples/mapstream/flatmap_stream/Makefile, packages/pynumaflow/examples/reduce/asyncio_reduce/Makefile, packages/pynumaflow/examples/reduce/counter/Makefile, packages/pynumaflow/examples/reducestream/counter/Makefile, packages/pynumaflow/examples/reducestream/sum/Makefile, packages/pynumaflow/examples/sideinput/simple_sideinput/Makefile, packages/pynumaflow/examples/sideinput/simple_sideinput/udf/Makefile, packages/pynumaflow/examples/sink/all_sinks/Makefile, packages/pynumaflow/examples/sink/async_log/Makefile, packages/pynumaflow/examples/sink/log/Makefile, packages/pynumaflow/examples/source/simple_source/Makefile, packages/pynumaflow/examples/sourcetransform/async_event_time_filter/Makefile, packages/pynumaflow/examples/sourcetransform/event_time_filter/Makefile
22/22Automated tests
11/11Lint / format config — packages/pynumaflow-lite/pyproject.toml ([tool.ruff]), packages/pynumaflow/pyproject.toml ([tool.ruff], [tool.black])
11/11Static type checking — packages/pynumaflow-lite/pynumaflow_lite/py.typed
10/10Reproducible environment — Dockerfile, lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
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_dockerfileyes
typed_languageno
bootstrap_filespackages/pynumaflow-lite/Makefile, packages/pynumaflow/Makefile, packages/pynumaflow/examples/accumulator/streamsorter/Makefile, packages/pynumaflow/examples/batchmap/concurrent_sink/Makefile, packages/pynumaflow/examples/batchmap/flatmap/Makefile, packages/pynumaflow/examples/map/async_forward_message/Makefile, packages/pynumaflow/examples/map/even_odd/Makefile, packages/pynumaflow/examples/map/flatmap/Makefile, packages/pynumaflow/examples/map/forward_message/Makefile, packages/pynumaflow/examples/map/multiproc_map/Makefile, packages/pynumaflow/examples/mapstream/flatmap_stream/Makefile, packages/pynumaflow/examples/reduce/asyncio_reduce/Makefile, packages/pynumaflow/examples/reduce/counter/Makefile, packages/pynumaflow/examples/reducestream/counter/Makefile, packages/pynumaflow/examples/reducestream/sum/Makefile, packages/pynumaflow/examples/sideinput/simple_sideinput/Makefile, packages/pynumaflow/examples/sideinput/simple_sideinput/udf/Makefile, packages/pynumaflow/examples/sink/all_sinks/Makefile, packages/pynumaflow/examples/sink/async_log/Makefile, packages/pynumaflow/examples/sink/log/Makefile, packages/pynumaflow/examples/source/simple_source/Makefile, packages/pynumaflow/examples/sourcetransform/async_event_time_filter/Makefile, packages/pynumaflow/examples/sourcetransform/event_time_filter/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configspackages/pynumaflow-lite/pynumaflow_lite/py.typed
agent_commit_share0
toolchain_manifestspackages/pynumaflow-lite/Cargo.toml
dependency_bot_commit_share0

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (packages/pynumaflow-lite/pynumaflow_lite/py.typed)
55/55Manageable file sizes — 0/296 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes23,880
source_files_sampled296
oversized_source_files0

Machine-readable interfaces

100Exceptional
How it's scored
40/40API schema (OpenAPI/GraphQL/proto) — packages/pynumaflow/pynumaflow/proto/accumulator/accumulator.proto, packages/pynumaflow/pynumaflow/proto/common/metadata.proto, packages/pynumaflow/pynumaflow/proto/common/nack_options.proto, packages/pynumaflow/pynumaflow/proto/mapper/map.proto, packages/pynumaflow/pynumaflow/proto/reducer/reduce.proto, packages/pynumaflow/pynumaflow/proto/sideinput/sideinput.proto, packages/pynumaflow/pynumaflow/proto/sinker/sink.proto, packages/pynumaflow/pynumaflow/proto/sourcer/source.proto, packages/pynumaflow/pynumaflow/proto/sourcetransformer/transform.proto
0/20MCP server — not applicable to this kind of software
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalno
api_schema_filespackages/pynumaflow/pynumaflow/proto/accumulator/accumulator.proto, packages/pynumaflow/pynumaflow/proto/common/metadata.proto, packages/pynumaflow/pynumaflow/proto/common/nack_options.proto, packages/pynumaflow/pynumaflow/proto/mapper/map.proto, packages/pynumaflow/pynumaflow/proto/reducer/reduce.proto, packages/pynumaflow/pynumaflow/proto/sideinput/sideinput.proto, packages/pynumaflow/pynumaflow/proto/sinker/sink.proto, packages/pynumaflow/pynumaflow/proto/sourcer/source.proto, packages/pynumaflow/pynumaflow/proto/sourcetransformer/transform.proto
interfaces_expected_of—
Excluded from scoring (no data or not applicable): MCP server. Remaining weights renormalized.

Key facts

66GitHub stars
24contributors
77commits, last 12 months
2days since last push
39releases
4bus factor
23open issues
—package ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi download statistics for 'pynumaflow' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • Could not fetch crates package 'pynumaflow-lite' from its registry
  • Could not fetch pypi package 'pynumaflow-lite' from its registry

More detail

Star and fork history 0 ★ / 25 ⇿
0Stars
25Forks
36Releases

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.

05101520252522022-082024-062026-03
Major 0Minor 11Patch 22

Each point covers 4 days.

OpenSSF Scorecard 4.7 / 10
4.7aggregate

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 · 2026-09-18 12:25 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-Tests28 out of 30 merged PRs checked by a CI test -- score normalized to 9
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
10Contributorsproject has 5 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained12 commit(s) and 3 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
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities65 existing vulnerabilities detected
Direct dependencies 20
RegistryPackageVersion constraintManifest
crates.ionumaflow—packages/pynumaflow-lite/Cargo.toml
crates.iopyo30.29.0packages/pynumaflow-lite/Cargo.toml
crates.iotokio1.52.3packages/pynumaflow-lite/Cargo.toml
crates.iotonic0.14.6packages/pynumaflow-lite/Cargo.toml
crates.iotokio-stream0.1.18packages/pynumaflow-lite/Cargo.toml
crates.iotower0.5.3packages/pynumaflow-lite/Cargo.toml
crates.iohyper-util0.1.20packages/pynumaflow-lite/Cargo.toml
crates.ioprost-types0.14.4packages/pynumaflow-lite/Cargo.toml
crates.iochrono0.4.45packages/pynumaflow-lite/Cargo.toml
crates.iopyo3-async-runtimes0.29.0packages/pynumaflow-lite/Cargo.toml
crates.iofutures-core0.3.32packages/pynumaflow-lite/Cargo.toml
crates.iopin-project1.1.13packages/pynumaflow-lite/Cargo.toml
PyPIgrpcio>=1.48.1packages/pynumaflow/pyproject.toml
PyPIgrpcio-tools>=1.48.1packages/pynumaflow/pyproject.toml
PyPIgoogle-api-core>=2.11.0packages/pynumaflow/pyproject.toml
PyPIgrpcio-status>=1.48.1packages/pynumaflow/pyproject.toml
PyPIprotobuf>=6.31.1,<7.0packages/pynumaflow/pyproject.toml
PyPIaiorun>=2025.1.1packages/pynumaflow/pyproject.toml
PyPIuvloop>=0.21.0packages/pynumaflow/pyproject.toml
PyPIpsutil>=6.0.0packages/pynumaflow/pyproject.toml
All dependencies 290

Full resolved dependency set from the GitHub dependency graph: 32 direct and 258 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
crates.iochrono0.4.45direct
crates.iofutures-core0.3.32direct
crates.iohyper-util0.1.20direct
crates.ionumaflow0.6.0direct
crates.iopin-project1.1.13direct
crates.ioprost-types0.14.4direct
crates.iopyo30.29.0direct
crates.iopyo3-async-runtimes0.29.0direct
crates.iotokio1.52.3direct
crates.iotokio-stream0.1.18direct
crates.iotonic0.14.6direct
crates.iotower0.5.3direct
PyPIaiorun2025.1.1direct
PyPIgoogle-api-core2.30.0direct
PyPIgoogle-api-core2.30.2direct
PyPIgoogle-api-core2.36.0direct
PyPIgrpcio1.75.0direct
PyPIgrpcio1.78.0direct
PyPIgrpcio1.80.0direct
PyPIgrpcio1.83.1direct
PyPIgrpcio-status1.75.0direct
PyPIgrpcio-status1.78.0direct
PyPIgrpcio-status1.80.0direct
PyPIgrpcio-status1.83.1direct
PyPIgrpcio-tools1.75.0direct
PyPIgrpcio-tools1.78.0direct
PyPIgrpcio-tools1.80.0direct
PyPIgrpcio-tools1.81.1direct
PyPIprotobuf6.33.5direct
PyPIprotobuf6.33.6direct
PyPIpsutil7.2.2direct
PyPIuvloop0.22.1direct
crates.ioaho-corasick1.1.4indirect
crates.ioandroid_system_properties0.1.5indirect
crates.ioanyhow1.0.103indirect
crates.ioasync-trait0.1.89indirect
crates.ioatomic-waker1.1.2indirect
crates.ioautocfg1.5.1indirect
crates.ioaxum0.8.9indirect
crates.ioaxum-core0.5.6indirect
crates.iobase640.22.1indirect
crates.iobitflags2.13.0indirect
crates.iobumpalo3.20.3indirect
crates.iobytes1.12.0indirect
crates.iocc1.2.65indirect
crates.iocfg-if1.0.4indirect
crates.iocore-foundation-sys0.8.7indirect
crates.ioeither1.16.0indirect
crates.ioequivalent1.0.2indirect
crates.ioerrno0.3.14indirect
crates.iofastrand2.4.1indirect
crates.iofind-msvc-tools0.1.9indirect
crates.iofixedbitset0.5.7indirect
crates.iofnv1.0.7indirect
crates.iofoldhash0.1.5indirect
crates.iofutures-channel0.3.32indirect
crates.iofutures-macro0.3.32indirect
crates.iofutures-sink0.3.32indirect
crates.iofutures-task0.3.32indirect
crates.iofutures-util0.3.32indirect
crates.iogetrandom0.4.3indirect
crates.ioh20.4.15indirect
crates.iohashbrown0.15.5indirect
crates.iohashbrown0.17.1indirect
crates.ioheck0.5.0indirect
crates.iohttp1.4.2indirect
crates.iohttp-body1.0.1indirect
crates.iohttp-body-util0.1.3indirect
crates.iohttparse1.10.1indirect
crates.iohttpdate1.0.3indirect
crates.iohyper1.10.1indirect
crates.iohyper-timeout0.5.2indirect
crates.ioiana-time-zone0.1.65indirect
crates.ioiana-time-zone-haiku0.1.2indirect
crates.ioindexmap2.14.0indirect
crates.ioitertools0.14.0indirect
crates.ioitoa1.0.18indirect
crates.iojs-sys0.3.103indirect
crates.iolibc0.2.186indirect
crates.iolinux-raw-sys0.12.1indirect
crates.iolog0.4.33indirect
crates.iomatchit0.8.4indirect
crates.iomemchr2.8.2indirect
crates.iomime0.3.17indirect
crates.iomio1.2.1indirect
crates.iomultimap0.10.1indirect
crates.ionum-traits0.2.19indirect
crates.ioonce_cell1.21.4indirect
crates.iopercent-encoding2.3.2indirect
crates.iopetgraph0.8.3indirect
crates.iopin-project-internal1.1.13indirect
crates.iopin-project-lite0.2.17indirect
crates.ioportable-atomic1.13.1indirect
crates.ioprettyplease0.2.37indirect
crates.ioproc-macro21.0.106indirect
crates.ioprost0.14.4indirect
crates.ioprost-build0.14.4indirect
crates.ioprost-derive0.14.4indirect
crates.iopulldown-cmark0.13.4indirect
crates.iopulldown-cmark-to-cmark22.0.0indirect
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.ioregex1.12.4indirect
crates.ioregex-automata0.4.14indirect
crates.ioregex-syntax0.8.11indirect
crates.iorustix1.1.4indirect
crates.iorustversion1.0.22indirect
crates.ioserde1.0.228indirect
crates.ioserde_core1.0.228indirect
crates.ioserde_derive1.0.228indirect
crates.ioserde_json1.0.150indirect
crates.ioshlex2.0.1indirect
crates.iosignal-hook-registry1.4.8indirect
crates.ioslab0.4.12indirect
crates.iosmallvec1.15.2indirect
crates.iosocket20.6.4indirect
crates.iosyn2.0.118indirect
crates.iosync_wrapper1.0.2indirect
crates.iotarget-lexicon0.13.5indirect
crates.iotempfile3.27.0indirect
crates.iothiserror2.0.18indirect
crates.iothiserror-impl2.0.18indirect
crates.iotokio-macros2.7.0indirect
crates.iotokio-util0.7.18indirect
crates.iotonic-build0.14.6indirect
crates.iotonic-prost0.14.6indirect
crates.iotonic-prost-build0.14.6indirect
crates.iotonic-types0.14.6indirect
crates.iotower-layer0.3.3indirect
crates.iotower-service0.3.3indirect
crates.iotracing0.1.44indirect
crates.iotracing-attributes0.1.31indirect
crates.iotracing-core0.1.36indirect
crates.iotry-lock0.2.5indirect
crates.iounicase2.9.0indirect
crates.iounicode-ident1.0.24indirect
crates.iouuid1.23.4indirect
crates.iowant0.3.1indirect
crates.iowasi0.11.1+wasi-snapshot-preview1indirect
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-core0.62.2indirect
crates.iowindows-implement0.60.2indirect
crates.iowindows-interface0.59.3indirect
crates.iowindows-link0.2.1indirect
crates.iowindows-result0.4.1indirect
crates.iowindows-strings0.5.1indirect
crates.iowindows-sys0.61.2indirect
crates.iozmij1.0.21indirect
PyPIaiohappyeyeballs2.6.1indirect
PyPIaiohttp3.13.3indirect
PyPIaiosignal1.4.0indirect
PyPIanyio4.12.1indirect
PyPIasync-mapt-event-time-filter0.2.4indirect
PyPIattrs25.4.0indirect
PyPIbabel2.18.0indirect
PyPIbackrefs6.2indirect
PyPIbatch-map-concurrent-sink0.2.4indirect
PyPIbatch-map-flatmap0.2.4indirect
PyPIblack26.3.1indirect
PyPIcairocffi1.7.1indirect
PyPIcairosvg2.9.0indirect
PyPIcertifi2026.2.25indirect
PyPIcertifi2026.7.22indirect
PyPIcffi2.0.0indirect
PyPIcffi2.1.1indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer3.4.6indirect
PyPIcharset-normalizer3.4.7indirect
PyPIcharset-normalizer3.5.1indirect
PyPIclick8.3.1indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.13.4indirect
PyPIcryptography46.0.5indirect
PyPIcryptography46.0.7indirect
PyPIcryptography50.0.1indirect
PyPIcssselect20.9.0indirect
PyPIdefusedxml0.7.1indirect
PyPIdistlib0.4.0indirect
PyPIeven-odd0.2.4indirect
PyPIexample-sink0.2.4indirect
PyPIexceptiongroup1.3.0indirect
PyPIexceptiongroup1.3.1indirect
PyPIfilelock3.25.2indirect
PyPIfrozenlist1.8.0indirect
PyPIghp-import2.1.0indirect
PyPIgoogle-auth2.49.1indirect
PyPIgoogle-auth2.57.1indirect
PyPIgoogleapis-common-protos1.73.0indirect
PyPIgoogleapis-common-protos1.74.0indirect
PyPIgoogleapis-common-protos1.75.3indirect
PyPIgriffelib2.0.0indirect
PyPIgrpc-stubs1.53.0.6indirect
PyPIgrpcio-testing1.75.0indirect
PyPIidentify2.6.18indirect
PyPIidna3.11indirect
PyPIidna3.19indirect
PyPIiniconfig2.1.0indirect
PyPIiniconfig2.3.0indirect
PyPIjinja23.1.6indirect
PyPIlibrt0.8.1indirect
PyPImap-async-forward-message0.1.0indirect
PyPImap-cat0.1.0indirect
PyPImap-flatmap0.2.4indirect
PyPImap-flatmap-stream0.2.4indirect
PyPImap-forward-message0.2.4indirect
PyPImapt-event-time-filter0.2.4indirect
PyPImarkdown3.10.2indirect
PyPImarkupsafe3.0.3indirect
PyPImaturin1.14.1indirect
PyPImergedeep1.3.4indirect
PyPImike2.1.4indirect
PyPImkdocs1.6.1indirect
PyPImkdocs-autorefs1.4.4indirect
PyPImkdocs-exclude1.0.2indirect
PyPImkdocs-get-deps0.2.2indirect
PyPImkdocs-material9.7.5indirect
PyPImkdocs-material-extensions1.3.1indirect
PyPImkdocstrings1.0.3indirect
PyPImkdocstrings-python2.0.3indirect
PyPImultidict6.7.1indirect
PyPImypy1.19.1indirect
PyPImypy-extensions1.1.0indirect
PyPInodeenv1.10.0indirect
PyPIopentelemetry-api1.44.0indirect
PyPIpackaging25.0indirect
PyPIpackaging26.0indirect
PyPIpaginate0.5.7indirect
PyPIpathspec1.0.4indirect
PyPIpillow12.1.1indirect
PyPIplatformdirs4.9.4indirect
PyPIpluggy1.6.0indirect
PyPIpoetry-core—indirect
PyPIpre-commit4.5.1indirect
PyPIpropcache0.4.1indirect
PyPIproto-plus1.27.1indirect
PyPIproto-plus1.27.2indirect
PyPIproto-plus1.28.4indirect
PyPIpyasn10.6.2indirect
PyPIpyasn10.6.3indirect
PyPIpyasn10.6.4indirect
PyPIpyasn1-modules0.4.2indirect
PyPIpycparser3.0indirect
PyPIpygments2.19.2indirect
PyPIpymdown-extensions10.21indirect
PyPIpynumaflow0.12.1indirect
PyPIpynumaflow0.14.0indirect
PyPIpyparsing3.3.2indirect
PyPIpytest9.0.2indirect
PyPIpytest9.1.1indirect
PyPIpytest-cov7.0.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-discovery1.1.3indirect
PyPIpytokens0.4.1indirect
PyPIpyyaml6.0.3indirect
PyPIpyyaml-env-tag1.1indirect
PyPIreduce-counter0.2.4indirect
PyPIreduce-stream-counter0.2.4indirect
PyPIreduce-stream-sum0.2.4indirect
PyPIrequests2.32.5indirect
PyPIrequests2.33.1indirect
PyPIrequests2.34.2indirect
PyPIruff0.15.20indirect
PyPIruff0.15.6indirect
PyPIsetuptools82.0.1indirect
PyPIsetuptools84.0.0indirect
PyPIsimple-source0.2.4indirect
PyPIsix1.17.0indirect
PyPIstream-sorter0.2.4indirect
PyPItinycss21.5.1indirect
PyPItomli2.2.1indirect
PyPItomli2.4.0indirect
PyPItypes-protobuf6.32.1.20260221indirect
PyPItypes-psutil7.2.2.20260130indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-extensions4.16.0indirect
PyPIurllib32.6.3indirect
PyPIurllib32.7.0indirect
PyPIverspec0.1.0indirect
PyPIvirtualenv21.2.0indirect
PyPIwatchdog6.0.0indirect
PyPIwatchfiles1.1.1indirect
PyPIwebencodings0.5.1indirect
PyPIyarl1.23.0indirect
Dependency advisories 0

Installing pypi:pynumaflow@0.14.0 pulls in 24 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.