Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-20 22:09 UTC

launchdarkly / python-server-sdk-otel

LaunchDarkly SDK OTEL integration for the Python server side SDK

PythonCustom license★ 1 star⑂ 1 forksince Apr 2024View on GitHub ↗

launchdarkly/python-server-sdk-otel holds a health index of 83 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (80/100) and lowest on Community & Adoption (47/100). It was last updated today. A single contributor accounts for most of its recent work.

83
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.

83
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 70 is calibrated to 83 on the published index scale (record calibration 2026-08-02).

Ownership

LaunchDarklyOrganization · verified domain
336 followers317 public repossince Jul 2014

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIlaunchdarkly-server-sdk-otel1.3.039,95260 days ago

Metrics by category

Vitality

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

69Good · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
5.5/36Commit cadence — 8/52 weeks with commits
10.8/18Commit volume — 15 commits in the last year
6/10OpenSSF Scorecard: Maintained — 8 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 6
Inputs used
commits_last_year15
human_commit_share0.448
days_since_last_push0
active_weeks_last_year8
How it's scored
27/27Ships releases — 5 releases published
36/36Release recency — latest release 0 days ago
12.6/27Release cadence — a release every ~225.8 days
10/10OpenSSF Scorecard: Signed-Releases — 3 out of the last 3 releases have a total of 3 signed artifacts.
Inputs used
releases_count5
latest_release_tag1.3.0
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases225.8

Community & Adoption

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

47Weak · 17% of overall
How it's scored
0/60Stars — 1 stars
0/25Forks — 1 forks
7/15Watchers — 19 watchers
Inputs used
forks1
stars1
watchers19
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
16.9/22.5License — license file present, not a recognized license
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges4
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesgithub.com, readthedocs.org, shields.io
has_pull_request_templateyes
How it's scored
61.4/80Monthly downloads — 39,952 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packageslaunchdarkly-server-sdk-otel
dependents—
ecosystemspypi
total_downloads—
monthly_downloads39,952
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?

78Good · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
9.5/22.5Commit distribution — top contributor authored 58% of commits
8.1/13.5Contributor breadth — 6 contributors
10/10OpenSSF Scorecard: Contributors — project has 6 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled6
top_contributor_share0.577
How it's scored
0/42Issue resolution — no issues or no data
28/30PR acceptance — 57/61 decided PRs merged
13/13Newcomer PR acceptance — 2/2 first-time contributors' PRs merged in 30d
13.5/15OpenSSF Scorecard: Code-Review — Found 12/13 approved changesets -- score normalized to 9
Inputs used
merged_prs57
open_issues0
closed_issues0
prs_merged_7d2
prs_decided_7d2
prs_merged_30d2
prs_decided_30d2
issue_closed_ratio—
closed_unmerged_prs4
first_time_authors_30d1
first_time_prs_merged_30d2
first_time_prs_decided_30d2
Excluded from scoring (no data or not applicable): Issue resolution. Remaining weights renormalized.
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
18.2/25Owner reach — 336 followers of launchdarkly
25/25Track record — 317 public repos, account ~12 yr old
Inputs used
followers336
owner_typeOrganization
is_verifiedyes
owner_loginlaunchdarkly
public_repos317
account_age_days4,494

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 — 6 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packageslaunchdarkly-server-sdk-otel
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

80Excellent · 19% of overall
How it's scored
24/24CI workflows — 5 workflow(s)
24/24Tests present
16/16Linter config — setup.cfg ([pycodestyle])
0/9.6Pre-commit hooks
0/6.4.editorconfig
10/20OpenSSF Scorecard: CI-Tests — 16 out of 29 merged PRs checked by a CI test -- score normalized to 5
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://github.com/launchdarkly/python-server-sdk-otel
10/10Repository description
10/10Topics — 8 topics
0/10Wiki
Inputs used
topicsfeature-flags, feature-toggles, launchdarkly, launchdarkly-sdk, managed-by-terraform, otel, python, sdk
has_wikino
homepagehttps://github.com/launchdarkly/python-server-sdk-otel
docs_sitehttps://github.com/launchdarkly/python-server-sdk-otel
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

76Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
3.8/7.5Branch-Protection — branch protection is not maximal on development and all release branches
1.2/2.5CI-Tests — 16 out of 29 merged PRs checked by a CI test -- score normalized to 5
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
6.8/7.5Code-Review — Found 12/13 approved changesets -- score normalized to 9
2.5/2.5Contributors — project has 6 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.2/2.5License — license file detected
4.5/7.5Maintained — 8 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 6
5/5Packaging — packaging workflow detected
2.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
4.5/5Security-Policy — security policy file detected
7.5/7.5Signed-Releases — 3 out of the last 3 releases have a total of 3 signed artifacts.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate7

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages49
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 49 resolved dependencies against OSV. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. 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.

64Moderate · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://docs.launchdarkly.com/llms.txt)
40/40Legible commit history — 25 of 26 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://docs.launchdarkly.com/llms.txt
legible_history_share0.962
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
18/18One-command bootstrap — Makefile
22/22Automated tests
11/11Lint / format config — setup.cfg ([pycodestyle])
0/11Static type checking
0/10Reproducible environment
10/10Demonstrated agent practice — 8 of the last 58 commits agent-authored or agent-credited
8/8Automated maintenance — 22 of the last 58 commits are automated dependency updates
5/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileno
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.138
toolchain_manifests—
dependency_bot_commit_share0.379
How it's scored
0/45Type-checkable code — Python without a type-check config
55/55Manageable file sizes — 0/5 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes18,830
source_files_sampled5
oversized_source_files0

Key facts

1GitHub stars
6contributors
15commits, last 12 months
0days since last push
5releases
1bus factor
0open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:launchdarkly-server-sdk-otel@1.3.0; advisories assessed against the repository dependency graph instead

More detail

OpenSSF Scorecard 7.0 / 10
7.0aggregate

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 · 2026-10-20 22:08 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-Protectionbranch protection is not maximal on development and all release branches
5CI-Tests16 out of 29 merged PRs checked by a CI test -- score normalized to 5
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
9Code-ReviewFound 12/13 approved changesets -- score normalized to 9
10Contributorsproject has 6 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
6Maintained8 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 6
10Packagingpackaging workflow detected
5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 5
0SASTSAST tool is not run on all commits -- score normalized to 0
9Security-Policysecurity policy file detected
10Signed-Releases3 out of the last 3 releases have a total of 3 signed artifacts.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 2
RegistryPackageVersion constraintManifest
PyPIlaunchdarkly-server-sdk>=9.18.3pyproject.toml
PyPIopentelemetry-sdk>=1.24.0pyproject.toml
All dependencies 49

Full resolved dependency set from the GitHub dependency graph: 2 direct and 47 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIlaunchdarkly-server-sdk9.18.3direct
PyPIopentelemetry-sdk1.45.1direct
PyPIalabaster0.7.16indirect
PyPIbabel2.18.0indirect
PyPIcertifi2026.10.19indirect
PyPIcharset-normalizer3.5.2indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.16.2indirect
PyPIdocutils0.21.2indirect
PyPIexceptiongroup1.3.1indirect
PyPIexpiringdict1.2.2indirect
PyPIfilelock4.1.0indirect
PyPIidna3.20indirect
PyPIimagesize2.0.1indirect
PyPIiniconfig2.3.1indirect
PyPIisort6.1.0indirect
PyPIjinja23.1.6indirect
PyPIjsonpickle4.1.4indirect
PyPIlaunchdarkly-eventsource1.7.4indirect
PyPIlibrt0.16.0indirect
PyPImarkupsafe3.0.4indirect
PyPImypy1.19.1indirect
PyPImypy-extensions1.1.0indirect
PyPIopentelemetry-api1.45.1indirect
PyPIopentelemetry-semantic-conventions0.66b1indirect
PyPIpackaging26.3indirect
PyPIpathspec1.1.1indirect
PyPIpluggy1.7.0indirect
PyPIpycodestyle2.15.0indirect
PyPIpygments2.21.0indirect
PyPIpyrfc33392.1.0indirect
PyPIpytest9.1.1indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-mypy1.0.1indirect
PyPIrequests2.34.2indirect
PyPIsemver3.1.0indirect
PyPIsnowballstemmer3.1.1indirect
PyPIsphinx7.4.7indirect
PyPIsphinx-rtd-theme3.1.0indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jquery4.1indirect
PyPIsphinxcontrib-jsmath2.0.0indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPItomli2.5.0indirect
PyPItyping-extensions4.16.0indirect
PyPIurllib32.8.0indirect
Dependency advisories 0

This repository publishes no package the index resolves, so its own dependency graph was assessed — 49 packages, which also include development and test pins that never ship: 0 carry known advisories, of which 0 are direct.

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 v0.34.0 — full methodology · metrics wiki.

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