Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-11 09:57 UTC

MehdiZare / fmp-data

FMP Data: A Modern Python Client for Financial Modeling Prep API

PythonMIT★ 30 stars⑂ 6 forkssince Oct 2024View on GitHub ↗
KindLibraryCommand-line toolhow this is determined

MehdiZare/fmp-data holds a health index of 84 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (96/100) and lowest on Community & Adoption (53/100). It was last updated 7 days ago. A single contributor accounts for most of its recent work.

84
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.

84
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 71 is calibrated to 84 on the published index scale (record calibration 2026-08-02).

Ownership

MehdiPersonal account
5 followers20 public repossince Jul 2014

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIfmp-data2.7.110,0863122 days agoapifinancialfinancial-datafmpmarket-datastock-marketstocks

Metrics by category

Vitality

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

79Good · 21% of overall
How it's scored
36/36Push recencylast push 7 days ago
7.6/36Commit cadence11/52 weeks with commits
18/18Commit volume150 commits in the last year
10/10OpenSSF Scorecard: Maintained13 commit(s) and 30 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year150
human_commit_share0.9
days_since_last_push7
active_weeks_last_year11
How it's scored
27/27Ships releases30 releases published
36/36Release recencylatest release 22 days ago
27/27Release cadencea release every ~21.6 days
0/10OpenSSF Scorecard: Signed-ReleasesProject has not signed or included provenance with any releases.
Inputs used
releases_count30
latest_release_tagv2.7.1
releases_from_tagsno
days_since_latest_release22
mean_days_between_releases21.6

Community & Adoption

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

53Moderate · 17% of overall
How it's scored
23.7/60Stars30 stars
5.8/25Forks6 forks
0/15Watchers1 watchers
Inputs used
forks6
stars30
watchers1
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (MIT)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges6
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicescodecov.io, github.com, shields.io
has_pull_request_templateno
How it's scored
53.4/80Monthly downloads10,086 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagesfmp-data
dependents
ecosystemspypi
total_downloads
monthly_downloads10,086
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?

55Moderate · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
0/22.5Commit distributiontop contributor authored 100% of commits
2.7/13.5Contributor breadth2 contributors
0/10OpenSSF Scorecard: Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
Inputs used
bus_factor1
contributors_sampled2
top_contributor_share0.998
How it's scored
41.7/42Issue resolution99% of issues closed
26.5/30PR acceptance220/249 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-ReviewFound 0/15 approved changesets -- score normalized to 0
Inputs used
merged_prs220
open_issues1
closed_issues143
prs_merged_7d0
prs_decided_7d0
prs_merged_30d35
prs_decided_30d35
issue_closed_ratio0.993
closed_unmerged_prs29
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
10/30Ownership backingpersonal (user) account
0/20Verified domainnot applicable to user accounts
5.6/25Owner reach5 followers of MehdiZare
21.6/25Track record20 public repos, account ~12 yr old
Inputs used
followers5
owner_typeUser
is_verified
owner_loginMehdiZare
public_repos20
account_age_days4,444
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 22 days ago
20/20Version history31 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesfmp-data
ecosystemspypi
any_deprecatedno
min_days_since_publish22

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall
How it's scored
24/24CI workflows10 workflow(s)
24/24Tests present
16/16Linter configpyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests17 out of 17 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://mehdizare.github.io/fmp-data/
10/10Repository description
10/10Topics3 topics
10/10Wiki
Inputs used
topicsfinance, financial-analysis, stock-market
has_wikiyes
homepage
docs_sitehttps://mehdizare.github.io/fmp-data/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

70Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0.8/7.5Branch-Protectionbranch protection is not maximal on development and all release branches
2.5/2.5CI-Tests17 out of 17 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0/7.5Code-ReviewFound 0/15 approved changesets -- score normalized to 0
0/2.5Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
10/10Dangerous-Workflowno dangerous workflow patterns detected
7.5/7.5Dependency-Update-Toolupdate tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
7.5/7.5Maintained13 commit(s) and 30 issue activity found in the last 90 days -- score normalized to 10
5/5Packagingpackaging workflow detected
4.5/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 9
5/5SASTSAST tool is run on all commits
5/5Security-Policysecurity policy file detected
0/7.5Signed-ReleasesProject has not signed or included provenance with any releases.
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate6.2

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_packages12
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:fmp-data@2.7.1 runtime dependency closure — what installing the published package pulls in — 12 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.

88Excellent · 4% of overall
How it's scored
45/45Agent instructionsAGENTS.md, CLAUDE.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history76 of 90 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.844
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes8,819
How it's scored
18/18One-command bootstrapMakefile, noxfile.py
22/22Automated tests
11/11Lint / format configpyproject.toml ([tool.ruff])
11/11Static type checkingfmp_data/py.typed
0/10Reproducible environment
10/10Demonstrated agent practice39 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance10 of the last 100 commits are automated dependency updates
9/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 9
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileno
typed_languageno
bootstrap_filesMakefile, noxfile.py
has_devcontainerno
has_linter_configyes
typecheck_configsfmp_data/py.typed
agent_commit_share0.39
toolchain_manifests
dependency_bot_commit_share0.1
How it's scored
27/45Type-checkable codePython with type-check config (fmp_data/py.typed)
53.4/55Manageable file sizes8/276 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes127,197
source_files_sampled276
oversized_source_files8
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)not applicable to this kind of software
0/20MCP servernot applicable to this kind of software
40/40Runnable examplesexamples
Inputs used
example_dirsexamples
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

30GitHub stars
2contributors
150commits, last 12 months
7days since last push
30releases
1bus factor
1open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

More detail

Star and fork history 0 ★ / 6 ⇿
0Stars
6Forks
9Releases

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.

123456612026-012026-042026-07
Major 0Minor 3Patch 6
OpenSSF Scorecard 6.2 / 10
6.2aggregate

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 · 2026-09-11 09:56 UTC

10Binary-Artifactsno binaries found in the repo
1Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests17 out of 17 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/15 approved changesets -- score normalized to 0
0Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained13 commit(s) and 30 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
9Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 9
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 3
RegistryPackageVersion constraintManifest
PyPIhttpx>=0.28.1pyproject.toml
PyPIpydantic>=2.13.4pyproject.toml
PyPItenacity>=9.1.4pyproject.toml
All dependencies 37

Full resolved dependency set from the GitHub dependency graph: 3 direct and 34 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIhttpxdirect
PyPIpydanticdirect
PyPItenacitydirect
PyPIbanditindirect
PyPIbuildindirect
PyPIcoverageindirect
PyPIfaiss-cpuindirect
PyPIfreezegunindirect
PyPIhatch-vcsindirect
PyPIhatchlingindirect
PyPIlangchain-communityindirect
PyPIlangchain-coreindirect
PyPIlangchain-openaiindirect
PyPIlanggraphindirect
PyPImcpindirect
PyPImkdocsindirect
PyPImkdocs-materialindirect
PyPImkdocstrings-pythonindirect
PyPImypyindirect
PyPInoxindirect
PyPIopenaiindirect
PyPIpip-auditindirect
PyPIpre-commitindirect
PyPIpytestindirect
PyPIpytest-asyncioindirect
PyPIpytest-covindirect
PyPIpytest-mockindirect
PyPIpytest-xdistindirect
PyPIpython-dotenvindirect
PyPIpyyamlindirect
PyPIredisindirect
PyPIresponsesindirect
PyPIrichindirect
PyPIruffindirect
PyPItiktokenindirect
PyPItwineindirect
PyPIvcrpyindirect
Dependency advisories 0

Installing pypi:fmp-data@2.7.1 pulls in 12 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.