Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-12 23:25 UTC

AmritaBot / AmritaSense

Next-Gen high-performance workflow and event engine/下一代高性能工作流与事件流引擎

PythonApache-2.0★ 5 stars⑂ 0 forkssince May 2026View on GitHub ↗
KindLibraryhow this is determined
#async#modernized#python#python3#workflow#workflow-engine#composer#workflow-composer

AmritaBot/AmritaSense holds a health index of 77 out of 100, placing it in the Good band. It scores highest on Engineering Quality (86/100) and lowest on Community & Adoption (45/100). It was last updated today. A single contributor accounts for most of its recent work.

77
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.

77
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 66 is calibrated to 77 on the published index scale (record calibration 2026-08-02).

Ownership

AmritaConstantOrganization
6 followers21 public repossince Aug 2025

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIamrita-sense0.7.0-277 days ago

Metrics by category

Vitality

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

84Excellent · 21% of overall

Development activity

74Good
How it's scored
36/36Push recency — last push 0 days ago
11.1/36Commit cadence — 16/52 weeks with commits
17.3/18Commit volume — 84 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year84
human_commit_share0.733
days_since_last_push0
active_weeks_last_year16

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 27 releases published
36/36Release recency — latest release 7 days ago
27/27Release cadence — a release every ~6.2 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count27
latest_release_tag0.7.0
releases_from_tagsno
days_since_latest_release7
mean_days_between_releases6.2
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?

45Weak · 17% of overall

Popularity & adoption

10Critical
How it's scored
9.8/60Stars — 5 stars
0/25Forks — 0 forks
0/15Watchers — 0 watchers
Inputs used
forks0
stars5
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonbelow_threshold

Community health

85Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges5
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesshields.io
has_pull_request_templateno

Sustainability & Governance

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

54Moderate · 23% of overall

Maintainer resilience (bus factor)

20At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0/22.5Commit distribution — top contributor authored 100% of commits
1.4/13.5Contributor breadth — 1 contributors
10/10OpenSSF Scorecard: Contributors — project has 5 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled1
top_contributor_share1

Issue & PR responsiveness

64Moderate
How it's scored
0/42Issue resolution — no issues or no data
28.8/30PR acceptance — 46/48 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/15 approved changesets -- score normalized to 0
Inputs used
merged_prs46
open_issues0
closed_issues0
prs_merged_7d0
prs_decided_7d0
prs_merged_30d2
prs_decided_30d2
issue_closed_ratio—
closed_unmerged_prs2
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Issue resolution, Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

48Weak
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
6.1/25Owner reach — 6 followers of AmritaBot
11.9/25Track record — 21 public repos, account ~1 yr old
Inputs used
followers6
owner_typeOrganization
is_verifiedno
owner_loginAmritaBot
public_repos21
account_age_days379

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 7 days ago
20/20Version history — 27 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesamrita-sense
ecosystemspypi
any_deprecatedno
min_days_since_publish7

Engineering Quality

Are baseline engineering and documentation practices in place?

86Excellent · 19% of overall

Engineering practices

84Excellent
How it's scored
24/24CI workflows — 2 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 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

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://sense.amritabot.com
10/10Repository description
10/10Topics — 8 topics
0/10Wiki
Inputs used
topicsasync, modernized, python, python3, workflow, workflow-engine, composer, workflow-composer
has_wikino
homepagehttps://sense.amritabot.com
docs_sitehttps://sense.amritabot.com
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

63Moderate · 16% of overall

Security posture

54Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
2.2/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 30 out of 30 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 0/15 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 5 contributing companies or organizations
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 — 30 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
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
3/7.5Vulnerabilities — 6 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5.4
Excluded from scoring (no data or not applicable): 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_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:amrita-sense@0.7.0 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.

57Moderate · 4% of overall

Agent context & guidance

32At Risk
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
32.2/40Legible commit history — 38 of 63 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.603
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

61Moderate
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
0/11Static type checking
10/10Reproducible environment — lockfile
10/10Demonstrated agent practice — 10 of the last 86 commits agent-authored or agent-credited
8/8Automated maintenance — 23 of the last 86 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
lockfilespackage-lock.json, uv.lock
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.116
toolchain_manifests—
dependency_bot_commit_share0.267

Code legibility for models

55Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
55/55Manageable file sizes — 0/100 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes48,177
source_files_sampled100
oversized_source_files0

Machine-readable interfaces

100Exceptional
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
0/20MCP server — not applicable to this kind of software
40/40Runnable examples — demos
Inputs used
example_dirsdemos
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

5GitHub stars
1contributors
84commits, last 12 months
0days since last push
27releases
1bus factor
0open issues
npm, PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Star history carried forward from 2026-06-13: GitHub restricted the stargazers API to repository admins, so it can no longer be collected. The repository has 5 stars today.
  • pypi download statistics for 'amrita-sense' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced

More detail

Star and fork history 5 ★ / 0 ⇿
5Stars
10Releases

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 2026-06-13. 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.

12345512026-052026-052026-06
Major 0Minor 3Patch 5
OpenSSF Scorecard 5.4 / 10
5.4aggregate

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 · 2026-09-12 23:24 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests30 out of 30 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
10Contributorsproject has 5 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 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
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
4Vulnerabilities6 existing vulnerabilities detected
Direct dependencies 7
RegistryPackageVersion constraintManifest
npm@vuepress/plugin-palette^2.0.0-rc.112package.json
npmvitepress-plugin-mermaid^2.0.17package.json
PyPIaiologic>=0.16.0pyproject.toml
PyPIanyio>=4.13.0pyproject.toml
PyPIcachetools>=7.1.4pyproject.toml
PyPIexceptiongroup>=1.3.1pyproject.toml
PyPIloguru>=0.7.3pyproject.toml
All dependencies 499

Full resolved dependency set from the GitHub dependency graph: 7 direct and 492 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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npmyaml2.8.4indirect
npmyoctocolors2.1.2indirect
npmzwitch2.0.4indirect
PyPIamrita-sense0.7.0indirect
PyPIbackports-asyncio-runner1.2.0indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.13.5indirect
PyPIidna3.16indirect
PyPIiniconfig2.3.0indirect
PyPInodeenv1.10.0indirect
PyPIpackaging26.2indirect
PyPIpluggy1.6.0indirect
PyPIpy-spy0.4.2indirect
PyPIpygments2.20.0indirect
PyPIpyright1.1.409indirect
PyPIpytest9.0.3indirect
PyPIpytest-asyncio1.3.0indirect
PyPIpytest-cov7.1.0indirect
PyPIruff0.15.12indirect
PyPIsnakeviz2.2.2indirect
PyPIsniffio1.3.1indirect
PyPItomli2.4.1indirect
PyPItornado6.5.8indirect
PyPItyping-extensions4.16.0indirect
PyPIwin32-setctime1.2.0indirect
PyPIwrapt2.1.2indirect
Dependency advisories 0

Installing pypi:amrita-sense@0.7.0 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

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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.