Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-27 14:49 UTC

pallets-eco / flask-session

Server side session extension for Flask

PythonBSD-3-Clause★ 534 stars⑂ 248 forkssince Apr 2014View on GitHub ↗
KindLibraryNetwork servicehow this is determined

pallets-eco/flask-session holds a health index of 34 out of 100, placing it in the At Risk band. It scores highest on Community & Adoption (83/100) and lowest on Vitality (23/100). It was last updated 438 days ago. A single contributor accounts for most of its recent work.

34
overall / 100
At Risk

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.

34
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 59 is calibrated to 63 on the published index scale (record calibration 2026-08-02).

Ownership

Pallets EcosystemOrganization · verified domain
348 followers38 public repossince May 2021

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIFlask-Session0.8.012,701,29118884 days ago

Metrics by category

Vitality

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

23At Risk · 21% of overall
How it's scored
0/36Push recencylast push 438 days ago
0/36Commit cadence0/52 weeks with commits
0/18Commit volume0 commits in the last year
0/10OpenSSF Scorecard: Maintained0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
Inputs used
commits_last_year0
human_commit_share1
days_since_last_push438
active_weeks_last_year0
How it's scored
27/27Ships releases5 releases published
0/36Release recencylatest release 884 days ago
19.8/27Release cadencea release every ~79.9 days
10/10OpenSSF Scorecard: Signed-Releases3 out of the last 3 releases have a total of 3 signed artifacts.
Inputs used
releases_count5
latest_release_tag0.8.0
releases_from_tagsno
days_since_latest_release884
mean_days_between_releases79.9

Community & Adoption

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

83Excellent · 17% of overall
How it's scored
44.2/60Stars534 stars
19.9/25Forks248 forks
7.1/15Watchers20 watchers
Inputs used
forks248
stars534
watchers20
growth_stateorganic
growth_factor_pct100

Community health

85Excellent
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (BSD-3-Clause)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges8
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesshields.io
has_pull_request_templateno
How it's scored
80/80Monthly downloads12,701,291 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagesFlask-Session
dependents
ecosystemspypi
total_downloads
monthly_downloads12,701,291
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?

62Moderate · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
10.4/22.5Commit distributiontop contributor authored 54% of commits
13.5/13.5Contributor breadth17 contributors
10/10OpenSSF Scorecard: Contributorsproject has 9 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled17
top_contributor_share0.536
How it's scored
37.3/42Issue resolution89% of issues closed
6.9/30PR acceptance26/113 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-ReviewFound 1/25 approved changesets -- score normalized to 0
Inputs used
merged_prs26
open_issues17
closed_issues133
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.887
closed_unmerged_prs87
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.
How it's scored
30/30Ownership backingorganization-owned
20/20Verified domain
18.3/25Owner reach348 followers of pallets-eco
22.1/25Track record38 public repos, account ~5 yr old
Inputs used
followers348
owner_typeOrganization
is_verifiedyes
owner_loginpallets-eco
public_repos38
account_age_days1,919
How it's scored
25/25Published & resolvable1 package(s) on pypi
4/35Publish recencylatest publish 884 days ago
20/20Version history18 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesFlask-Session
ecosystemspypi
any_deprecatedno
min_days_since_publish884

Engineering Quality

Are baseline engineering and documentation practices in place?

78Good · 19% of overall
How it's scored
24/24CI workflows3 workflow(s)
24/24Tests present
16/16Linter configpyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
6.4/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests0 out of 1 merged PRs checked by a CI test -- score normalized to 0
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configno

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://flask-session.readthedocs.io
10/10Repository description
10/10Topics2 topics
0/10Wiki
Inputs used
topicsflask, sessions
has_wikino
homepagehttps://flask-session.readthedocs.io
docs_sitehttps://flask-session.readthedocs.io
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

58Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionno data
0/2.5CI-Tests0 out of 1 merged PRs checked by a CI test -- score normalized to 0
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0/7.5Code-ReviewFound 1/25 approved changesets -- score normalized to 0
2.5/2.5Contributorsproject has 9 contributing companies or organizations
10/10Dangerous-Workflowno dangerous workflow patterns detected
0/7.5Dependency-Update-Toolno update tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
0/7.5Maintained0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
0/5Packagingno data
1/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 2
0/5SASTSAST tool is not run on all commits -- score normalized to 0
5/5Security-Policysecurity policy file detected
7.5/7.5Signed-Releases3 out of the last 3 releases have a total of 3 signed artifacts.
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate4.7
Excluded from scoring (no data or not applicable): Branch-Protection, Packaging. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisoriesno direct dependency carries a known advisory
25/25Indirect dependencies free of known advisoriesno indirect dependency carries a known advisory
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages9
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:Flask-Session@0.8.0 runtime dependency closure — what installing the published package pulls in — 9 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.

40Weak · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
3.2/40Legible commit history6 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.06
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrapdocs/Makefile
22/22Automated tests
11/11Lint / format configpyproject.toml ([tool.ruff])
0/11Static type checking
10/10Reproducible environmentDockerfile
0/10Demonstrated agent practiceno agent-authored commits among the last 100
0/8Automated maintenanceno automated dependency updates observed
2/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 2
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileyes
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 codePython without a type-check config
55/55Manageable file sizes0/34 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes14,456
source_files_sampled34
oversized_source_files0
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
0/20MCP server
40/40Runnable examplesexamples
Inputs used
example_dirsexamples
has_mcp_signalno
api_schema_files
interfaces_expected_ofnetwork-service

Key facts

534GitHub stars
17contributors
0commits, last 12 months
438days since last push
5releases
1bus factor
17open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Star history carried forward from 2026-06-29: GitHub restricted the stargazers API to repository admins, so it can no longer be collected. The repository has 534 stars today.

More detail

Star and fork history 535 ★ / 248 ⇿
535Stars
248Forks
5Releases

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.

Star history is shown as collected on 2026-06-29. GitHub restricted the stargazers API to repository administrators in July 2026, so this series can no longer be extended; the current star total above remains live.

0100200300400500600535216222014-042020-062026-07
Major 0Minor 4Patch 1

Each point covers 12 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 · 2026-08-27 14:49 UTC

10Binary-Artifactsno binaries found in the repo
n/aBranch-Protectioninternal error: error during GetBranch(main): error during branchesHandler.query: 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
0CI-Tests0 out of 1 merged PRs checked by a CI test -- score normalized to 0
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 1/25 approved changesets -- score normalized to 0
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
0Maintained0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
n/aPackagingpackaging workflow not detected
2Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 2
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-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 3
RegistryPackageVersion constraintManifest
PyPIflask>=2.2pyproject.toml
PyPImsgspec>=0.18.6pyproject.toml
PyPIcachelibpyproject.toml
All dependencies 62

Full resolved dependency set from the GitHub dependency graph: 5 direct and 57 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIcachelibdirect
PyPIcachelib0.12.0direct
PyPIflaskdirect
PyPIflask3.0.2direct
PyPImsgspecdirect
PyPIalabaster0.7.13indirect
PyPIasync-timeout4.0.3indirect
PyPIbabel2.12.1indirect
PyPIbeautifulsoup44.12.3indirect
PyPIblinker1.7.0indirect
PyPIboto3indirect
PyPIboto31.34.69indirect
PyPIbotocore1.34.69indirect
PyPIcertifi2023.5.7indirect
PyPIcharset-normalizer3.1.0indirect
PyPIclick8.1.7indirect
PyPIdnspython2.6.1indirect
PyPIdocutils0.19indirect
PyPIflask-sqlalchemyindirect
PyPIflask-sqlalchemy3.1.1indirect
PyPIfuro2024.1.29indirect
PyPIgreenlet3.0.3indirect
PyPIidna3.4indirect
PyPIimagesize1.4.1indirect
PyPIitsdangerous2.1.2indirect
PyPIjinja23.1.2indirect
PyPIjmespath1.0.1indirect
PyPImarkupsafe2.1.2indirect
PyPImypy-boto3-dynamodbindirect
PyPImypy-boto3-dynamodb1.34.67indirect
PyPIpackaging23.1indirect
PyPIpsycopg2-binaryindirect
PyPIpsycopg2-binary2.9.9indirect
PyPIpygments2.15.1indirect
PyPIpymemcacheindirect
PyPIpymemcache4.0.0indirect
PyPIpymongoindirect
PyPIpymongo4.6.2indirect
PyPIpytestindirect
PyPIpytest-covindirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIredisindirect
PyPIredis5.0.1indirect
PyPIrequests2.30.0indirect
PyPIruffindirect
PyPIs3transfer0.10.1indirect
PyPIsix1.16.0indirect
PyPIsnowballstemmer2.2.0indirect
PyPIsoupsieve2.5indirect
PyPIsphinx7.0.0indirect
PyPIsphinx-basic-ng1.0.0b2indirect
PyPIsphinx-favicon1.0.1indirect
PyPIsphinxcontrib-applehelp1.0.4indirect
PyPIsphinxcontrib-devhelp1.0.2indirect
PyPIsphinxcontrib-htmlhelp2.0.1indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp1.0.3indirect
PyPIsphinxcontrib-serializinghtml1.1.5indirect
PyPIsqlalchemy2.0.27indirect
PyPItyping-extensions4.10.0indirect
PyPIurllib32.0.2indirect
PyPIwerkzeug3.0.1indirect
Dependency advisories 0

Installing pypi:Flask-Session@0.8.0 pulls in 9 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.

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 statisticsPyPI.