Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-12 11:27 UTC

openedx / enterprise-integrated-channels

PythonAGPL-3.0★ 2 stars⑂ 21 forkssince Oct 2024View on GitHub ↗
KindLibraryNetwork servicehow this is determined

openedx/enterprise-integrated-channels holds a health index of 87 out of 100, placing it in the Excellent band. It scores highest on Vitality (92/100) and lowest on Security (53/100). It was last updated today. 3 contributors account for most of its recent work.

87
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.

87
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 73 is calibrated to 87 on the published index scale (record calibration 2026-08-02).

Ownership

Open edXOrganization
768 followers182 public repossince Jun 2018

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIenterprise-integrated-channels0.2.027,413690 days agopythonedx

Metrics by category

Vitality

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

92Excellent · 21% of overall

Development activity

94Exceptional
How it's scored
36/36Push recency — last push 0 days ago
29.8/36Commit cadence — 43/52 weeks with commits
18/18Commit volume — 163 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_year163
human_commit_share1
days_since_last_push0
active_weeks_last_year43

Release discipline

90Excellent
How it's scored
27/27Ships releases — 70 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~7.6 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count70
latest_release_tagv0.2.0
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases7.6

Community & Adoption

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

56Moderate · 17% of overall

Popularity & adoption

14Critical
How it's scored
0/60Stars — 2 stars
10.8/25Forks — 21 forks
3.3/15Watchers — 5 watchers
Inputs used
forks21
stars2
watchers5
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 (AGPL-3.0)
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

Ecosystem adoption (downloads)

74Good
How it's scored
59.2/80Monthly downloads — 27,413 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesenterprise-integrated-channels
dependents—
ecosystemspypi
total_downloads—
monthly_downloads27,413
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?

79Good · 23% of overall

Maintainer resilience (bus factor)

75Good
How it's scored
36/54Bus factor — 3 contributor(s) cover half of all commits
15.9/22.5Commit distribution — top contributor authored 30% of commits
13.5/13.5Contributor breadth — 34 contributors
10/10OpenSSF Scorecard: Contributors — project has 9 contributing companies or organizations
Inputs used
bus_factor3
contributors_sampled34
top_contributor_share0.295

Issue & PR responsiveness

71Good
How it's scored
21/42Issue resolution — 50% of issues closed
23.6/30PR acceptance — 158/201 decided PRs merged
13/13Newcomer PR acceptance — 6/6 first-time contributors' PRs merged in 30d
13.5/15OpenSSF Scorecard: Code-Review — Found 19/20 approved changesets -- score normalized to 9
Inputs used
merged_prs158
open_issues1
closed_issues1
prs_merged_7d4
prs_decided_7d5
prs_merged_30d11
prs_decided_30d14
issue_closed_ratio0.5
closed_unmerged_prs43
first_time_authors_30d5
first_time_prs_merged_30d6
first_time_prs_decided_30d6

Ownership & stewardship

76Good
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
20.7/25Owner reach — 768 followers of openedx
25/25Track record — 182 public repos, account ~8 yr old
Inputs used
followers768
owner_typeOrganization
is_verifiedno
owner_loginopenedx
public_repos182
account_age_days3,044

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 — 69 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesenterprise-integrated-channels
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

76Good · 19% of overall

Engineering practices

90Excellent
How it's scored
24/24CI workflows — 7 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.isort]), tox.ini
0/9.6Pre-commit hooks
6.4/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 20 out of 20 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configno

Documentation

55Moderate
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
0/10Repository description
0/10Topics
0/10Wiki
Inputs used
topics—
has_wikino
homepage—
docs_site—
has_readmeyes
has_docs_diryes
has_descriptionno

Security

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

53Moderate · 16% of overall

Security posture

53Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.5/2.5CI-Tests — 20 out of 20 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
6.8/7.5Code-Review — Found 19/20 approved changesets -- score normalized to 9
2.5/2.5Contributors — project has 9 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 — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
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
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 53 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5.3
Excluded from scoring (no data or not applicable): Branch-Protection. Remaining weights renormalized.

Dependency advisories

51Moderate
How it's scored
5.5/35Direct dependencies free of known advisories — 4 affected: snowflake-connector-python 4.6.0 (critical 9.4), django 4.2.30 (high 8.8), django 5.2.16 (high 8.8), +1 more
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
32.8/40No advisories left outstanding — 1 advisory-carrying package(s) unaddressed past 90 days; oldest published 130 days ago
Inputs used
sourceosv
advisories99
affected_packages14
assessed_packages178
unassessed_packages0
affected_by_severitycritical 2, high 7, moderate 5
direct_affected_packages4
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 178 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.

75Good · 4% of overall

Agent context & guidance

85Excellent
How it's scored
45/45Agent instructions — .github/copilot-instructions.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 99 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.99
agent_instruction_files.github/copilot-instructions.md
agent_instruction_max_bytes2,294

Verify loop (build / test / typecheck)

74Good
How it's scored
18/18One-command bootstrap — Makefile, docs/Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.isort]), tox.ini
0/11Static type checking
10/10Reproducible environment — lockfile
8/10Demonstrated agent practice — 4 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenance — no automated dependency updates observed
5/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesMakefile, docs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.04
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

55Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
55/55Manageable file sizes — 0/402 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes58,711
source_files_sampled402
oversized_source_files0

Key facts

2GitHub stars
34contributors
163commits, last 12 months
0days since last push
70releases
3bus factor
1open 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:enterprise-integrated-channels@0.2.0; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 21 ⇿
0Stars
21Forks
65Releases

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.

048121620242112025-042026-012026-09
Major 0Minor 1Patch 64

Each point covers 2 days.

OpenSSF Scorecard 5.3 / 10
5.3aggregate

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 · 2026-10-12 11:27 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
10CI-Tests20 out of 20 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
9Code-ReviewFound 19/20 approved changesets -- score normalized to 9
10Contributorsproject has 9 contributing companies or organizations
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
5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 5
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities53 existing vulnerabilities detected
Direct dependencies 23
RegistryPackageVersion constraintManifest
PyPIDjango>=4.2pyproject.toml
PyPIopenedx-atlas—pyproject.toml
PyPIpytz—pyproject.toml
PyPIrequests—pyproject.toml
PyPIedx-opaque-keys—pyproject.toml
PyPIcelery—pyproject.toml
PyPIedx_django_utils—pyproject.toml
PyPIjsonfield—pyproject.toml
PyPIdjango-model-utils—pyproject.toml
PyPIdjango-simple-history—pyproject.toml
PyPIdjango-config-models—pyproject.toml
PyPIdjango-fernet-fields-v2—pyproject.toml
PyPIedx-drf-extensions—pyproject.toml
PyPIedx-rest-api-client—pyproject.toml
PyPIdjango-oauth-toolkit—pyproject.toml
PyPIdjango-object-actions—pyproject.toml
PyPIunicodecsv—pyproject.toml
PyPIslumber—pyproject.toml
PyPIedx-rbac—pyproject.toml
PyPIedx-tincan-py35—pyproject.toml
PyPIsignxml—pyproject.toml
PyPIcryptography—pyproject.toml
PyPIsnowflake-connector-python>=4.0.0,<5.0.0pyproject.toml
All dependencies 178

Full resolved dependency set from the GitHub dependency graph: 24 direct and 154 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIcelery5.6.3direct
PyPIcryptography49.0.0direct
PyPIdjango4.2.30direct
PyPIdjango5.2.16direct
PyPIdjango-config-models3.0.0direct
PyPIdjango-fernet-fields-v20.9direct
PyPIdjango-model-utils5.0.0direct
PyPIdjango-oauth-toolkit3.3.0direct
PyPIdjango-object-actions5.1.2direct
PyPIdjango-simple-history3.12.0direct
PyPIedx-django-utils8.0.1direct
PyPIedx-drf-extensions10.6.0direct
PyPIedx-opaque-keys4.0.0direct
PyPIedx-rbac3.0.0direct
PyPIedx-rest-api-client7.0.0direct
PyPIedx-tincan-py352.0.0direct
PyPIjsonfield3.2.0direct
PyPIopenedx-atlas0.7.0direct
PyPIpytz2026.2direct
PyPIrequests2.34.2direct
PyPIsignxml5.1.0direct
PyPIslumber0.7.1direct
PyPIsnowflake-connector-python4.6.0direct
PyPIunicodecsv0.14.1direct
PyPIaccessible-pygments0.0.5indirect
PyPIalabaster1.0.0indirect
PyPIamqp5.3.1indirect
PyPIaniso860110.0.1indirect
PyPIasgiref3.11.1indirect
PyPIasn1crypto1.5.1indirect
PyPIastroid4.0.4indirect
PyPIattrs26.1.0indirect
PyPIbabel2.18.0indirect
PyPIbackports-tarfile1.2.0indirect
PyPIbeautifulsoup44.15.0indirect
PyPIbilliard4.2.4indirect
PyPIboto31.43.44indirect
PyPIbotocore1.43.44indirect
PyPIbuild1.5.1indirect
PyPIcachetools7.1.4indirect
PyPIcertifi2026.6.17indirect
PyPIcffi2.1.0indirect
PyPIchardet7.4.3indirect
PyPIcharset-normalizer3.4.9indirect
PyPIclick8.4.2indirect
PyPIclick-didyoumean0.3.1indirect
PyPIclick-log0.4.0indirect
PyPIclick-plugins1.1.1.2indirect
PyPIclick-repl0.3.0indirect
PyPIcode-annotations2.3.2indirect
PyPIcode-annotations3.0.0indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.15.0indirect
PyPIddt1.3.1indirect
PyPIdefusedxml0.7.1indirect
PyPIdiff-cover10.3.0indirect
PyPIdill0.4.1indirect
PyPIdistlib0.4.3indirect
PyPIdjango-countries9.0.0indirect
PyPIdjango-crum0.7.9indirect
PyPIdjango-waffle5.0.0indirect
PyPIdjangorestframework3.17.1indirect
PyPIdnspython2.8.0indirect
PyPIdoc82.0.0indirect
PyPIdocutils0.21.2indirect
PyPIdrf-jwt1.19.2indirect
PyPIedx-ccx-keys2.0.2indirect
PyPIedx-i18n-tools2.0.0indirect
PyPIedx-lint6.1.0indirect
PyPIfactory-boy3.3.3indirect
PyPIfaker40.28.1indirect
PyPIfastavro1.12.2indirect
PyPIfilelock3.29.7indirect
PyPIfreezegun1.5.5indirect
PyPIid1.6.1indirect
PyPIidna3.18indirect
PyPIimagesize2.0.0indirect
PyPIimportlib-metadata9.0.0indirect
PyPIiniconfig2.3.0indirect
PyPIisort8.0.1indirect
PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context6.1.2indirect
PyPIjaraco-functools4.5.0indirect
PyPIjeepney0.9.0indirect
PyPIjinja23.1.6indirect
PyPIjmespath1.1.0indirect
PyPIjwcrypto1.5.8indirect
PyPIkeyring25.7.0indirect
PyPIkombu5.6.2indirect
PyPIlxml6.1.1indirect
PyPIlxml-html-clean0.4.5indirect
PyPImarkdown-it-py4.2.0indirect
PyPImarkupsafe3.0.3indirect
PyPImccabe0.7.0indirect
PyPImdurl0.1.2indirect
PyPImock5.2.0indirect
PyPImore-itertools11.1.0indirect
PyPInh30.3.6indirect
PyPIoauthlib3.3.1indirect
PyPIopenedx-events10.5.0indirect
PyPIopenedx-events11.2.0indirect
PyPIpackaging26.2indirect
PyPIpath16.16.0indirect
PyPIplatformdirs4.10.0indirect
PyPIpluggy1.6.0indirect
PyPIpolib1.2.0indirect
PyPIprompt-toolkit3.0.52indirect
PyPIpsutil7.2.2indirect
PyPIpycodestyle2.14.0indirect
PyPIpycparser3.0indirect
PyPIpydata-sphinx-theme0.16.1indirect
PyPIpydocstyle6.3.0indirect
PyPIpygments2.20.0indirect
PyPIpyjwt2.13.0indirect
PyPIpylint4.0.6indirect
PyPIpylint-celery0.3indirect
PyPIpylint-django2.7.0indirect
PyPIpylint-plugin-utils0.9.0indirect
PyPIpymongo4.17.0indirect
PyPIpynacl1.6.2indirect
PyPIpyopenssl26.3.0indirect
PyPIpyproject-api1.10.1indirect
PyPIpyproject-hooks1.2.0indirect
PyPIpytest9.1.1indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-django4.12.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-discovery1.4.4indirect
PyPIpython-slugify8.0.4indirect
PyPIpython3-openid3.2.0indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIpyyaml6.0.3indirect
PyPIreadme-renderer45.0indirect
PyPIrequests-oauthlib2.0.0indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIresponses0.26.2indirect
PyPIrestructuredtext-lint2.0.2indirect
PyPIrfc39862.0.0indirect
PyPIrich15.0.0indirect
PyPIroman-numerals4.1.0indirect
PyPIs3transfer0.19.0indirect
PyPIsecretstorage3.5.0indirect
PyPIsemantic-version2.10.0indirect
PyPIsetuptools83.0.0indirect
PyPIsix1.17.0indirect
PyPIsnowballstemmer3.1.1indirect
PyPIsocial-auth-app-django5.4.3indirect
PyPIsocial-auth-core4.9.1indirect
PyPIsortedcontainers2.4.0indirect
PyPIsoupsieve2.8.4indirect
PyPIsphinx9.0.4indirect
PyPIsphinx-book-theme1.2.0indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPIsqlparse0.5.5indirect
PyPIstevedore5.9.0indirect
PyPItestfixtures12.3.0indirect
PyPItext-unidecode1.3indirect
PyPItomli2.4.1indirect
PyPItomli-w1.2.0indirect
PyPItomlkit0.15.0indirect
PyPItox4.56.4indirect
PyPItox-uv1.35.2indirect
PyPItox-uv-bare1.35.2indirect
PyPItwine6.2.0indirect
PyPItyping-extensions4.16.0indirect
PyPItzdata2026.2indirect
PyPItzlocal5.4.4indirect
PyPIurllib32.7.0indirect
PyPIuv0.11.28indirect
PyPIvine5.1.0indirect
PyPIvirtualenv21.6.0indirect
PyPIwcwidth0.8.2indirect
PyPIzipp4.1.0indirect
Dependency advisories 14

This repository publishes no package the index resolves, so its own dependency graph was assessed — 178 packages, which also include development and test pins that never ship: 14 carry known advisories, of which 4 are direct.

PackageVersionRelationSeverityAdvisoriesFixed in
snowflake-connector-python4.6.0directcritical34.7.3
pyjwt2.13.0indirectcritical282.15.0
django4.2.30directhigh106.1.1
django5.2.16directhigh46.1.1
pymongo4.17.0indirecthigh44.18.2
social-auth-core4.9.1indirecthigh105.0.0
sqlparse0.5.5indirecthigh100.6.0
urllib32.7.0indirecthigh62.8.0
virtualenv21.6.0indirecthigh821.7.13
cryptography49.0.0directmoderate250.0.0
djangorestframework3.17.1indirectmoderate43.17.2
oauthlib3.3.1indirectmoderate44.0.0
social-auth-app-django5.4.3indirectmoderate25.6.0
soupsieve2.8.4indirectmoderate42.9.0

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 openedx/enterprise-integrated-channels. Read them side by side →

100astropy/astropyAstronomy and astrophysics core libraryExceptional100matplotlib/matplotlibmatplotlib: plotting with PythonExceptional100deepset-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.Exceptional100streamlit/streamlitStreamlit — A faster way to build and share data apps.Exceptional100PrefectHQ/prefectPrefect is a workflow orchestration framework for building resilient data pipelines in Python.Exceptional100optuna/optunaA hyperparameter optimization frameworkExceptional

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.