Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-16 00:40 UTC

Meloland / melobot

支持多协议、多路 IO 和丰富功能的机器人开发框架

Python · MarkdownBSD-3-Clause★ 49 stars⑂ 5 forkssince Dec 2022View on GitHub ↗
KindCommand-line toolLibraryhow this is determined
#asyncio#python#coroutines#high-concurrency#bot#bot-framework

Meloland/melobot holds a health index of 81 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (96/100) and lowest on AI Readiness (50/100). It was last updated 51 days ago. A single contributor accounts for most of its recent work.

81
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.

81
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 69 is calibrated to 81 on the published index scale (record calibration 2026-08-02).

Ownership

MelolandOrganization · verified domain
7 followers2 public repossince Apr 2024

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPImelobot3.5.02383866 days agoasynciobot-frameworkconcurrencycoroutinemelobot

Metrics by category

Vitality

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

71Good · 21% of overall

Development activity

57Moderate
How it's scored
18/36Push recency — last push 51 days ago
11.8/36Commit cadence — 17/52 weeks with commits
17.4/18Commit volume — 86 commits in the last year
10/10OpenSSF Scorecard: Maintained — 19 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year86
human_commit_share0.95
days_since_last_push51
active_weeks_last_year17

Release discipline

92Excellent
How it's scored
27/27Ships releases — 18 releases published
36/36Release recency — latest release 66 days ago
19.8/27Release cadence — a release every ~63.6 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count18
latest_release_tagv3.5.0
releases_from_tagsno
days_since_latest_release66
mean_days_between_releases63.6
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?

53Moderate · 17% of overall

Popularity & adoption

32At Risk
How it's scored
27.3/60Stars — 49 stars
5/25Forks — 5 forks
0/15Watchers — 2 watchers
Inputs used
forks5
stars49
watchers2
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

85Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized 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_badges7
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesshields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

40Weak
How it's scored
31.7/80Monthly downloads — 238 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesmelobot
dependents—
ecosystemspypi
total_downloads—
monthly_downloads238
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

Maintainer resilience (bus factor)

22At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0.2/22.5Commit distribution — top contributor authored 99% of commits
6.8/13.5Contributor breadth — 5 contributors
6/10OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6
Inputs used
bus_factor1
contributors_sampled5
top_contributor_share0.991

Issue & PR responsiveness

76Good
How it's scored
42/42Issue resolution — 100% of issues closed
24.3/30PR acceptance — 34/42 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/12 approved changesets -- score normalized to 0
Inputs used
merged_prs34
open_issues0
closed_issues4
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio1
closed_unmerged_prs8
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.

Ownership & stewardship

65Good
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
6.5/25Owner reach — 7 followers of Meloland
8.3/25Track record — 2 public repos, account ~2 yr old
Inputs used
followers7
owner_typeOrganization
is_verifiedyes
owner_loginMeloland
public_repos2
account_age_days881

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 66 days ago
20/20Version history — 38 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesmelobot
ecosystemspypi
any_deprecatedno
min_days_since_publish66

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 6 workflow(s)
24/24Tests present
16/16Linter config — .flake8, pyproject.toml ([tool.black], [tool.isort])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 2 out of 2 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 site — https://docs.melobot.org
10/10Repository description
10/10Topics — 6 topics
10/10Wiki
Inputs used
topicsasyncio, python, coroutines, high-concurrency, bot, bot-framework
has_wikiyes
homepagehttps://docs.melobot.org
docs_sitehttps://docs.melobot.org
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

66Good · 16% of overall

Security posture

58Moderate
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 — 2 out of 2 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 0/12 approved changesets -- score normalized to 0
1.5/2.5Contributors — project has 2 contributing companies or organizations -- score normalized to 6
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
7.5/7.5Maintained — 19 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
5/5SAST — SAST tool is run on all commits
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 — 35 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate5.8
Excluded from scoring (no data or not applicable): Branch-Protection, Packaging, 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_packages8
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:melobot@3.5.0 runtime dependency closure — what installing the published package pulls in — 8 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.

50Moderate · 4% of overall

Agent context & guidance

4Critical
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
4.5/40Legible commit history — 8 of 95 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.084
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

72Good
How it's scored
18/18One-command bootstrap — docs/Makefile
22/22Automated tests
11/11Lint / format config — .flake8, pyproject.toml ([tool.black], [tool.isort])
11/11Static type checking — src/melobot/py.typed
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
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
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configssrc/melobot/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (src/melobot/py.typed)
55/55Manageable file sizes — 0/126 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes34,897
source_files_sampled126
oversized_source_files0

Key facts

49GitHub stars
5contributors
86commits, last 12 months
51days since last push
18releases
1bus factor
0open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi download statistics for 'melobot' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • pypi download figures for melobot carried forward from the previous scan (stats endpoint unavailable this scan)

More detail

Star and fork history 0 ★ / 5 ⇿
0Stars
5Forks
8Releases

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.

12345512024-052025-012025-09
Major 1Minor 2Patch 5

Each point covers 2 days.

OpenSSF Scorecard 5.8 / 10
5.8aggregate

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 · 2026-09-16 00:40 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-Tests2 out of 2 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 0/12 approved changesets -- score normalized to 0
6Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained19 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities35 existing vulnerabilities detected
Direct dependencies 5
RegistryPackageVersion constraintManifest
PyPIbetter-exceptions==0.3.3pyproject.toml
PyPIrich>=13.7.1,<14pyproject.toml
PyPItyping-extensions>=4.10.0pyproject.toml
PyPIcolorlog>=6.8.2,<7pyproject.toml
PyPIbeartype>=0.18.5pyproject.toml
All dependencies 109

Full resolved dependency set from the GitHub dependency graph: 5 direct and 104 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIbeartype0.22.9direct
PyPIbetter-exceptions0.3.3direct
PyPIcolorlog6.10.1direct
PyPIrich13.9.4direct
PyPItyping-extensions4.15.0direct
PyPIaccessible-pygments0.0.5indirect
PyPIaiohappyeyeballs2.6.1indirect
PyPIaiohttp3.13.3indirect
PyPIaiosignal1.4.0indirect
PyPIalabaster1.0.0indirect
PyPIannotated-types0.7.0indirect
PyPIasttokens3.0.1indirect
PyPIasync-timeout5.0.1indirect
PyPIattrs25.4.0indirect
PyPIbabel2.17.0indirect
PyPIbackports-asyncio-runner1.2.0indirect
PyPIbeautifulsoup44.14.3indirect
PyPIblack26.1.0indirect
PyPIcertifi2026.1.4indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer3.4.4indirect
PyPIclick8.3.1indirect
PyPIcolorama0.4.6indirect
PyPIdecorator5.2.1indirect
PyPIdistlib0.4.0indirect
PyPIdocutils0.21.2indirect
PyPIdocutils0.22.4indirect
PyPIexceptiongroup1.3.1indirect
PyPIexecuting2.2.1indirect
PyPIfilelock3.20.3indirect
PyPIflake87.3.0indirect
PyPIfrozenlist1.8.0indirect
PyPIfuro2025.12.19indirect
PyPIidentify2.6.16indirect
PyPIidna3.11indirect
PyPIimagesize1.4.1indirect
PyPIiniconfig2.3.0indirect
PyPIipython8.38.0indirect
PyPIipython9.9.0indirect
PyPIipython-pygments-lexers1.1.1indirect
PyPIisort7.0.0indirect
PyPIjedi0.19.2indirect
PyPIjinja23.1.6indirect
PyPIlibrt0.7.8indirect
PyPImarkdown-it-py3.0.0indirect
PyPImarkdown-it-py4.0.0indirect
PyPImarkupsafe3.0.3indirect
PyPImatplotlib-inline0.2.1indirect
PyPImccabe0.7.0indirect
PyPImdit-py-plugins0.5.0indirect
PyPImdurl0.1.2indirect
PyPImultidict6.7.0indirect
PyPImypy1.19.1indirect
PyPImypy-extensions1.1.0indirect
PyPImyst-parser4.0.1indirect
PyPImyst-parser5.0.0indirect
PyPInodeenv1.10.0indirect
PyPIobjprint0.3.0indirect
PyPIpackaging26.0indirect
PyPIparso0.8.5indirect
PyPIpastel0.2.1indirect
PyPIpathspec1.0.3indirect
PyPIpexpect4.9.0indirect
PyPIplatformdirs4.5.1indirect
PyPIpluggy1.6.0indirect
PyPIpoethepoet0.40.0indirect
PyPIpre-commit4.5.1indirect
PyPIprompt-toolkit3.0.52indirect
PyPIpropcache0.4.1indirect
PyPIptyprocess0.7.0indirect
PyPIpure-eval0.2.3indirect
PyPIpycodestyle2.14.0indirect
PyPIpydantic2.12.5indirect
PyPIpydantic-core2.41.5indirect
PyPIpydeps3.0.2indirect
PyPIpyflakes3.4.0indirect
PyPIpygments2.19.2indirect
PyPIpytest9.0.2indirect
PyPIpytest-asyncio1.3.0indirect
PyPIpytokens0.4.0indirect
PyPIpyyaml6.0.3indirect
PyPIrequests2.32.5indirect
PyPIroman-numerals4.1.0indirect
PyPIsnowballstemmer3.0.1indirect
PyPIsoupsieve2.8.3indirect
PyPIsphinx8.1.3indirect
PyPIsphinx9.0.4indirect
PyPIsphinx9.1.0indirect
PyPIsphinx-basic-ng1.0.0b2indirect
PyPIsphinx-copybutton0.5.2indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPIstack-data0.6.3indirect
PyPIstdlib-list0.12.0indirect
PyPItoml0.10.2indirect
PyPItomli2.4.0indirect
PyPItraitlets5.14.3indirect
PyPItyping-inspection0.4.2indirect
PyPIurllib32.6.3indirect
PyPIvirtualenv20.36.1indirect
PyPIviztracer1.1.1indirect
PyPIwatchdog6.0.0indirect
PyPIwcwidth0.3.0indirect
PyPIwebsockets14.2indirect
PyPIyarl1.22.0indirect
Dependency advisories 0

Installing pypi:melobot@3.5.0 pulls in 8 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.

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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.