Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-16 05:30 UTC

megvii-research / megfile

Megvii FILE Library - Working with Files in Python same as the standard library

PythonApache-2.0★ 179 stars⑂ 20 forkssince Aug 2021View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

megvii-research/megfile holds a health index of 84 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (89/100) and lowest on Security (48/100). It was last updated today. 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

MEGVII ResearchOrganization
1,252 followers92 public repossince Sep 2019

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPImegfile5.0.1812,9051400 days ago

Metrics by category

Vitality

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

87Excellent · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
19.4/36Commit cadence — 28/52 weeks with commits
17.6/18Commit volume — 90 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_year90
human_commit_share1
days_since_last_push0
active_weeks_last_year28

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 19 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~28 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count19
latest_release_tag5.0.18
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases28
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?

54Moderate · 17% of overall
How it's scored
36.5/60Stars — 179 stars
10.7/25Forks — 20 forks
1.7/15Watchers — 3 watchers
Inputs used
forks20
stars179
watchers3
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges7
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesbestpractices.coreinfrastructure.org, github.com, shields.io
has_pull_request_templateno
How it's scored
54.8/80Monthly downloads — 12,905 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesmegfile
dependents—
ecosystemspypi
total_downloads—
monthly_downloads12,905
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?

71Good · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
7.1/22.5Commit distribution — top contributor authored 68% of commits
12.2/13.5Contributor breadth — 9 contributors
10/10OpenSSF Scorecard: Contributors — project has 3 contributing companies or organizations -- score normalized to 10
Inputs used
bus_factor1
contributors_sampled9
top_contributor_share0.684
How it's scored
40.2/42Issue resolution — 96% of issues closed
28.5/30PR acceptance — 563/592 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
3/15OpenSSF Scorecard: Code-Review — Found 4/19 approved changesets -- score normalized to 2
Inputs used
merged_prs563
open_issues3
closed_issues69
prs_merged_7d1
prs_decided_7d1
prs_merged_30d2
prs_decided_30d2
issue_closed_ratio0.958
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
30/30Ownership backing — organization-owned
0/20Verified domain
22.3/25Owner reach — 1,252 followers of megvii-research
25/25Track record — 92 public repos, account ~7 yr old
Inputs used
followers1,252
owner_typeOrganization
is_verifiedno
owner_loginmegvii-research
public_repos92
account_age_days2,578

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 — 140 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesmegfile
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

89Excellent · 19% of overall
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
0/6.4.editorconfig
18/20OpenSSF Scorecard: CI-Tests — 18 out of 19 merged PRs checked by a CI test -- score normalized to 9
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 — http://megvii-research.github.io/megfile
10/10Repository description
10/10Topics — 9 topics
10/10Wiki
Inputs used
topicspython, file, s3, streaming, hdfs, oss, sftp, smart-open, webdav
has_wikiyes
homepagehttp://megvii-research.github.io/megfile
docs_sitehttp://megvii-research.github.io/megfile
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

48Weak · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.2/2.5CI-Tests — 18 out of 19 merged PRs checked by a CI test -- score normalized to 9
1.2/2.5CII-Best-Practices — badge detected: Passing
1.5/7.5Code-Review — Found 4/19 approved changesets -- score normalized to 2
2.5/2.5Contributors — project has 3 contributing companies or organizations -- score normalized to 10
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
4.5/7.5Maintained — 8 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 6
0/5Packaging — no data
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
4.5/5SAST — SAST tool is not run on all commits -- score normalized to 9
4.5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 14 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate4.8
Excluded from scoring (no data or not applicable): Branch-Protection, Packaging, Signed-Releases. Remaining weights renormalized.

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.

54Moderate · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 100 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share1
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
18/18One-command bootstrap — Makefile, docs/Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
0/11Static type checking
10/10Reproducible environment — Dockerfile
4/10Demonstrated agent practice — 2 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileyes
typed_languageno
bootstrap_filesMakefile, docs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.02
toolchain_manifests—
dependency_bot_commit_share0
How it's scored
0/45Type-checkable code — Python without a type-check config
54.1/55Manageable file sizes — 2/125 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes137,504
source_files_sampled125
oversized_source_files2

Key facts

179GitHub stars
9contributors
90commits, last 12 months
0days since last push
19releases
1bus factor
3open 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:megfile@5.0.18; advisories assessed against the repository dependency graph instead
  • No resolved dependencies carried a version and a supported ecosystem

More detail

Star and fork history 0 ★ / 20 ⇿
0Stars
20Forks
11Releases

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.

0481216202022021-082023-112026-03
Major 1Minor 0Patch 9

Each point covers 5 days.

OpenSSF Scorecard 4.8 / 10
4.8aggregate

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 · 2026-10-16 05:30 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
9CI-Tests18 out of 19 merged PRs checked by a CI test -- score normalized to 9
5CII-Best-Practicesbadge detected: Passing
2Code-ReviewFound 4/19 approved changesets -- score normalized to 2
10Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
6Maintained8 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 6
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
9SASTSAST tool is not run on all commits -- score normalized to 9
9Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities14 existing vulnerabilities detected
All dependencies 37

Full resolved dependency set from the GitHub dependency graph: 0 direct and 37 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIbandit—indirect
PyPIbandit-sarif-formatter—indirect
PyPIblack—indirect
PyPIboto3—indirect
PyPIbotocore—indirect
PyPIbuild—indirect
PyPIclick—indirect
PyPIcryptography—indirect
PyPIhdfs—indirect
PyPIm2r2—indirect
PyPImock—indirect
PyPImoto—indirect
PyPImsgspec—indirect
PyPImutmut—indirect
PyPIparamiko—indirect
PyPIpyfakefs—indirect
PyPIpyre-check—indirect
PyPIpytest—indirect
PyPIpytest-cov—indirect
PyPIpytest-mock—indirect
PyPIpytest-retry—indirect
PyPIpytest-socket—indirect
PyPIpython-dateutil—indirect
PyPIpytype—indirect
PyPIpyyaml—indirect
PyPIrequests—indirect
PyPIrequests-mock—indirect
PyPIruff—indirect
PyPIsetuptools—indirect
PyPIsphinx—indirect
PyPIsphinx-click—indirect
PyPIsphinx-markdown-builder—indirect
PyPIsphinx-rtd-theme—indirect
PyPIsphinxcontrib-jquery—indirect
PyPIssh2-python—indirect
PyPItqdm—indirect
PyPIwebdavclient3—indirect
Dependency advisories not assessed

Advisory matching could not run for this report: No resolved dependencies carried a version and a supported ecosystem

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.