Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-17 19:20 UTC

punitarani / fli

Google Flights MCP, CLI and Python Library

Python · TypeScriptMIT★ 3,163 stars⑂ 397 forkssince Jan 2025View on GitHub ↗
KindLibraryCommand-line toolMCP serverhow this is determined

punitarani/fli holds a health index of 75 out of 100, placing it in the Good band. It scores highest on Engineering Quality (90/100) and lowest on Security (50/100). It was last updated 58 days ago. A single contributor accounts for most of its recent work.

75
overall / 100
Good

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.

75
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 65 is calibrated to 75 on the published index scale (record calibration 2026-08-02).

Ownership

Punit AraniPersonal account
66 followers89 public repossince Nov 2017Handshake AI

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
PyPIflights0.9.0-13119 days agoapiflight-searchflightsgoogle-flightstravel

Metrics by category

Vitality

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

62Moderate · 21% of overall
How it's scored
18/36Push recency — last push 58 days ago
7.6/36Commit cadence — 11/52 weeks with commits
18/18Commit volume — 109 commits in the last year
0/10OpenSSF Scorecard: Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
Inputs used
commits_last_year109
human_commit_share0.78
days_since_last_push58
active_weeks_last_year11
How it's scored
27/27Ships releases — 19 releases published
27/36Release recency — latest release 116 days ago
27/27Release cadence — a release every ~5.8 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count19
latest_release_tagfli-js-v0.0.4
releases_from_tagsno
days_since_latest_release116
mean_days_between_releases5.8
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Signed-Releases. Remaining weights renormalized.

Community & Adoption

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

68Good · 17% of overall
How it's scored
56.8/60Stars — 3,163 stars
21.7/25Forks — 397 forks
5.6/15Watchers — 11 watchers
Inputs used
forks397
stars3,163
watchers11
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateno

Sustainability & Governance

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

53Moderate · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
2.7/22.5Commit distribution — top contributor authored 88% of commits
13.5/13.5Contributor breadth — 15 contributors
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled15
top_contributor_share0.88
How it's scored
18.9/42Issue resolution — 45% of issues closed
18.3/30PR acceptance — 92/151 decided PRs merged
0/13Newcomer PR acceptance — 0/1 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/28 approved changesets -- score normalized to 0
Inputs used
merged_prs92
open_issues28
closed_issues23
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d1
issue_closed_ratio0.451
closed_unmerged_prs59
first_time_authors_30d1
first_time_prs_merged_30d0
first_time_prs_decided_30d1
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
13.1/25Owner reach — 66 followers of punitarani
25/25Track record — 89 public repos, account ~8 yr old
Inputs used
followers66
owner_typeUser
is_verified—
owner_loginpunitarani
public_repos89
account_age_days3,241
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 119 days ago
20/20Version history — 13 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesflights
ecosystemspypi
any_deprecatedno
min_days_since_publish119

Engineering Quality

Are baseline engineering and documentation practices in place?

90Excellent · 19% of overall
How it's scored
24/24CI workflows — 7 workflow(s)
24/24Tests present
16/16Linter config — biome.json, pyproject.toml ([tool.ruff]), tox.ini
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 25 out of 25 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://deepwiki.com/punitarani/fli
10/10Repository description
10/10Topics — 6 topics
10/10Wiki
Inputs used
topicsgoogle-flights, flights-api, google-flights-api, api, mcp, mcp-server
has_wikiyes
homepagehttps://deepwiki.com/punitarani/fli
docs_sitehttps://deepwiki.com/punitarani/fli
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

50Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
2.5/2.5CI-Tests — 25 out of 25 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
0/7.5Code-Review — Found 0/28 approved changesets -- score normalized to 0
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
0/7.5Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 65 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate3.7
Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages26
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:flights@0.9.0 runtime dependency closure — what installing the published package pulls in — 26 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.

89Excellent · 4% of overall
How it's scored
45/45Agent instructions — AGENTS.md, CLAUDE.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 72 of 78 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.923
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes10,841
How it's scored
18/18One-command bootstrap — Makefile
22/22Automated tests
11/11Lint / format config — biome.json, pyproject.toml ([tool.ruff]), tox.ini
11/11Static type checking — examples/typescript/tsconfig.json, fli-js/tsconfig.json
10/10Reproducible environment — devcontainer, Dockerfile, lockfile
10/10Demonstrated agent practice — 51 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 15 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_filesMakefile
has_devcontaineryes
has_linter_configyes
typecheck_configsexamples/typescript/tsconfig.json, fli-js/tsconfig.json
agent_commit_share0.51
toolchain_manifests—
dependency_bot_commit_share0.15
How it's scored
27/45Type-checkable code — Python with type-check config (examples/typescript/tsconfig.json, fli-js/tsconfig.json)
54.3/55Manageable file sizes — 2/163 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes369,403
source_files_sampled163
oversized_source_files2
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
20/20MCP server
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalyes
api_schema_files—
interfaces_expected_of—
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto). Remaining weights renormalized.

Key facts

3,163GitHub stars
15contributors
109commits, last 12 months
58days since last push
19releases
1bus factor
28open issues
npm, PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi download statistics for 'flights' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • Could not fetch npm package 'fli-js' from its registry
  • GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

More detail

Star and fork history 0 ★ / 397 ⇿
0Stars
397Forks
14Releases

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.

0100200300400395402025-082026-032026-09
Major 0Minor 4Patch 6
OpenSSF Scorecard 3.7 / 10
3.7aggregate

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 · 2026-09-17 19:19 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
10CI-Tests25 out of 25 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 0/28 approved changesets -- score normalized to 0
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate 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
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities65 existing vulnerabilities detected
Direct dependencies 10
RegistryPackageVersion constraintManifest
npmzod^4.4.3fli-js/package.json
PyPIbabel>=2.17.0pyproject.toml
PyPIcurl-cffi>=0.7.4pyproject.toml
PyPIhttpx>=0.28.1pyproject.toml
PyPIplotext>=5.3.2pyproject.toml
PyPIpydantic>=2.10.4pyproject.toml
PyPIpython-dotenv>=1.0.1pyproject.toml
PyPIratelimit>=2.2.1pyproject.toml
PyPItenacity>=9.0.0pyproject.toml
PyPItyper>=0.15.1pyproject.toml
All dependencies not collected

The resolved dependency set could not be collected for this report: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

Dependency advisories 0

Installing pypi:flights@0.9.0 pulls in 26 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 statistics — PyPI.