Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-19 18:51 UTC

OWASP / pysap

pysap is an open source Python library that provides modules for crafting and sending packets using SAP's NI, Diag, Enqueue, Router, MS, SNC, IGS, RFC and HDB protocols.

PythonGPL-2.0★ 257 stars⑂ 72 forkssince Mar 2014View on GitHub ↗

OWASP/pysap holds a health index of 80 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (84/100) and lowest on Security (30/100). It was last updated 1 day ago. 2 contributors account for most of its recent work.

80
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.

80
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 68 is calibrated to 80 on the published index scale (record calibration 2026-08-02).

Ownership

OWASPOrganization · verified domain
12,294 followers1,416 public repossince Nov 2009

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

Metrics by category

Vitality

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

73Good · 21% of overall
How it's scored
36/36Push recency — last push 1 days ago
11.8/36Commit cadence — 17/52 weeks with commits
16.5/18Commit volume — 67 commits in the last year
0/10OpenSSF Scorecard: Maintained — no data
Inputs used
commits_last_year67
human_commit_share1
days_since_last_push1
active_weeks_last_year17
How it's scored
27/27Ships releases — 18 releases published
36/36Release recency — latest release 52 days ago
5.4/27Release cadence — a release every ~390.1 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count18
latest_release_tagv0.2.0
releases_from_tagsno
days_since_latest_release52
mean_days_between_releases390.1

Community & Adoption

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

66Good · 17% of overall
How it's scored
39.1/60Stars — 257 stars
15.4/25Forks — 72 forks
8.4/15Watchers — 34 watchers
Inputs used
forks72
stars257
watchers34
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (GPL-2.0)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges4
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateno

Sustainability & Governance

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

81Excellent · 23% of overall
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
14.6/22.5Commit distribution — top contributor authored 35% of commits
13.5/13.5Contributor breadth — 14 contributors
0/10OpenSSF Scorecard: Contributors — no data
Inputs used
bus_factor2
contributors_sampled14
top_contributor_share0.35
How it's scored
38.2/42Issue resolution — 91% of issues closed
23/30PR acceptance — 49/64 decided PRs merged
13/13Newcomer PR acceptance — 1/1 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Review — no data
Inputs used
merged_prs49
open_issues4
closed_issues40
prs_merged_7d2
prs_decided_7d2
prs_merged_30d6
prs_decided_30d6
issue_closed_ratio0.909
closed_unmerged_prs15
first_time_authors_30d1
first_time_prs_merged_30d1
first_time_prs_decided_30d1
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
25/25Owner reach — 12,294 followers of OWASP
25/25Track record — 1,416 public repos, account ~16 yr old
Inputs used
followers12,294
owner_typeOrganization
is_verifiedyes
owner_loginOWASP
public_repos1,416
account_age_days6,147

Engineering Quality

Are baseline engineering and documentation practices in place?

84Excellent · 19% of overall
How it's scored
24/24CI workflows — 1 workflow(s)
24/24Tests present
16/16Linter config — tox.ini
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

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://owasp.org/www-project-core-business-application-security/
10/10Repository description
10/10Topics — 4 topics
0/10Wiki
Inputs used
topicscbas, python, sap, scapy
has_wikino
homepagehttps://owasp.org/www-project-core-business-application-security/
docs_sitehttps://owasp.org/www-project-core-business-application-security/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

30At Risk · 16% of overall
How it's scored
30/30Security policy (SECURITY.md)
0/25Dependabot config
0/25Dependency lockfiles
0/20CodeQL workflow
Inputs used
sourcefile_signals
lockfiles—
manifestspyproject.toml, requirements-docs.txt, requirements-examples.txt, requirements-lint.txt, requirements-test.txt, requirements.txt, setup.py
has_codeql_workflowno
has_security_policyyes
has_dependabot_configno

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.

51Moderate · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
15.5/40Legible commit history — 29 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.29
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
18/18One-command bootstrap — docs/Makefile
22/22Automated tests
11/11Lint / format config — tox.ini
0/11Static type checking
0/10Reproducible environment
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 — no data
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileno
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0
How it's scored
0/45Type-checkable code — Python without a type-check config
54.5/55Manageable file sizes — 1/100 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes62,511
source_files_sampled100
oversized_source_files1
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

257GitHub stars
14contributors
67commits, last 12 months
1days since last push
18releases
2bus factor
4open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • No resolved dependencies carried a version and a supported ecosystem
  • OpenSSF Scorecard timed out after 240s; skipping Scorecard checks

More detail

Star and fork history 0 ★ / 72 ⇿
0Stars
72Forks
17Releases

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.

01325385063757122014-072020-082026-08
Major 0Minor 1Patch 15

Each point covers 12 days.

All dependencies 16

Full resolved dependency set from the GitHub dependency graph: 0 direct and 16 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIcryptography—indirect
PyPIflake8—indirect
PyPIipykernel—indirect
PyPIipython—indirect
PyPImyst-parser—indirect
PyPInbsphinx—indirect
PyPInetaddr—indirect
PyPIpyjwt—indirect
PyPIpytest—indirect
PyPIpytest-cov—indirect
PyPIrequests—indirect
PyPIscapy—indirect
PyPIsetuptools—indirect
PyPIsphinx—indirect
PyPItabulate—indirect
PyPItox—indirect
Dependency advisories not assessed

Advisory matching could not run for this report: No resolved dependencies carried a version and a supported ecosystem

Raw JSON report machine-readable

Feedback

Spotted something off in this report, or have thoughts to share? Wrong measurements, missed tooling, ideas, questions — anything is welcome. Every message is read and gets a response.

The message is kept through sign-in.

Scores are signals, not warranties. They reflect publicly visible practices on GitHub — not a code audit, and not a security guarantee.

Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v2.10.0, schema v0.34.0 — full methodology · metrics wiki.

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