Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-27 23:16 UTC

axolotl-ai-cloud / axolotl

Go ahead and axolotl questions

PythonApache-2.0★ 12,413 stars⑂ 1,413 forkssince Apr 2023View on GitHub ↗

KindCommand-line toolLibraryhow this is determined

axolotl-ai-cloud/axolotl holds a health index of 96 out of 100, placing it in the Exceptional band. It scores highest on Vitality (100/100) and lowest on Security (59/100). It was last updated today. A single contributor accounts for most of its recent work.

overall / 100

Exceptional

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.

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)

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 84 is calibrated to 96 on the published index scale (record calibration 2026-08-02).

Ownership

Axolotl AIOrganization

199 followers22 public repossince Apr 2024

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

Package ecosystems

Registry	Package	Version	Downloads / mo	Versions	Last publish
PyPI	axolotl	0.18.0	-	27	41 days ago

Metrics by category

Vitality

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

100Exceptional · 21% of overall

Development activity

100Exceptional

How it's scored

36/36	Push recency — last push 0 days ago
36/36	Commit cadence — 52/52 weeks with commits
18/18	Commit volume — 531 commits in the last year
10/10	OpenSSF Scorecard: Maintained — 30 commit(s) and 13 issue activity found in the last 90 days -- score normalized to 10

Inputs used

commits_last_year	531
human_commit_share	0.82
days_since_last_push	0
active_weeks_last_year	52

Release discipline

100Exceptional

How it's scored

27/27	Ships releases — 32 releases published
36/36	Release recency — latest release 41 days ago
27/27	Release cadence — a release every ~37 days
0/10	OpenSSF Scorecard: Signed-Releases — no data

Inputs used

releases_count	32
latest_release_tag	v0.18.0
releases_from_tags	no
days_since_latest_release	41
mean_days_between_releases	37

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?

94Exceptional · 17% of overall

Popularity & adoption

95Exceptional

How it's scored

60/60	Stars — 12,413 stars
25/25	Forks — 1,413 forks
9.7/15	Watchers — 56 watchers

Inputs used

forks	1,413
stars	12,413
watchers	56
growth_state	organic
growth_factor_pct	100

Community health

92Excellent

How it's scored

22.5/22.5	README
22.5/22.5	License — recognized license (Apache-2.0)
18/18	CONTRIBUTING guide
13.5/13.5	Code of conduct
0/7.2	Issue template
6.3/6.3	PR template

Inputs used

has_readme	yes
has_license	yes
readme_badges	11
has_contributing	yes
has_issue_template	no
has_code_of_conduct	yes
readme_badge_services	codecov.io, github.com, shields.io
has_pull_request_template	yes

Sustainability & Governance

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

66Good · 23% of overall

Maintainer resilience (bus factor)

43Weak

How it's scored

9/54	Bus factor — 1 contributor(s) cover half of all commits
10.3/22.5	Commit distribution — top contributor authored 54% of commits
13.5/13.5	Contributor breadth — 98 contributors
10/10	OpenSSF Scorecard: Contributors — project has 27 contributing companies or organizations

Inputs used

bus_factor	1
contributors_sampled	98
top_contributor_share	0.544

Issue & PR responsiveness

71Good

How it's scored

37/42	Issue resolution — 88% of issues closed
26.7/30	PR acceptance — 2,316/2,601 decided PRs merged
0/13	Newcomer PR acceptance — 0/9 first-time contributors' PRs merged in 30d
7.5/15	OpenSSF Scorecard: Code-Review — Found 11/22 approved changesets -- score normalized to 5

Inputs used

merged_prs	2,316
open_issues	119
closed_issues	886
prs_merged_7d	3
prs_decided_7d	11
prs_merged_30d	17
prs_decided_30d	32
issue_closed_ratio	0.882
closed_unmerged_prs	285
first_time_authors_30d	1
first_time_prs_merged_30d	0
first_time_prs_decided_30d	9

Ownership & stewardship

61Moderate

How it's scored

30/30	Ownership backing — organization-owned
0/20	Verified domain
16.5/25	Owner reach — 199 followers of axolotl-ai-cloud
14.6/25	Track record — 22 public repos, account ~2 yr old

Inputs used

followers	199
owner_type	Organization
is_verified	no
owner_login	axolotl-ai-cloud
public_repos	22
account_age_days	860

Package maintenance

100Exceptional

How it's scored

25/25	Published & resolvable — 1 package(s) on pypi
35/35	Publish recency — latest publish 41 days ago
20/20	Version history — 27 published versions
20/20	Not deprecated — active, not deprecated or yanked

Inputs used

packages	axolotl
ecosystems	pypi
any_deprecated	no
min_days_since_publish	41

Engineering Quality

Are baseline engineering and documentation practices in place?

98Exceptional · 19% of overall

Engineering practices

96Exceptional

How it's scored

24/24	CI workflows — 12 workflow(s)
24/24	Tests present
16/16	Linter config — pyproject.toml ([tool.ruff])
9.6/9.6	Pre-commit hooks
6.4/6.4	.editorconfig
16/20	OpenSSF Scorecard: CI-Tests — 26 out of 29 merged PRs checked by a CI test -- score normalized to 8

Inputs used

has_ci	yes
has_tests	yes
has_editorconfig	yes
has_linter_config	yes
has_precommit_config	yes

Documentation

100Exceptional

How it's scored

30/30	README
25/25	Documentation directory
15/15	Documentation / homepage site — https://docs.axolotl.ai
10/10	Repository description
10/10	Topics — 2 topics
10/10	Wiki

Inputs used

topics	fine-tuning, llm
has_wiki	yes
homepage	https://docs.axolotl.ai
docs_site	https://docs.axolotl.ai
has_readme	yes
has_docs_dir	yes
has_description	yes

Security

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

59Moderate · 16% of overall

Security posture

65Good

How it's scored

7.5/7.5	Binary-Artifacts — no binaries found in the repo
0/7.5	Branch-Protection — no data
2/2.5	CI-Tests — 26 out of 29 merged PRs checked by a CI test -- score normalized to 8
0/2.5	CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
3.8/7.5	Code-Review — Found 11/22 approved changesets -- score normalized to 5
2.5/2.5	Contributors — project has 27 contributing companies or organizations
10/10	Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5	Dependency-Update-Tool — update tool detected
0/5	Fuzzing — project is not fuzzed
2.5/2.5	License — license file detected
7.5/7.5	Maintained — 30 commit(s) and 13 issue activity found in the last 90 days -- score normalized to 10
5/5	Packaging — packaging workflow detected
0/5	Pinned-Dependencies — no data
0/5	SAST — SAST tool is not run on all commits -- score normalized to 0
5/5	Security-Policy — security policy file detected
0/7.5	Signed-Releases — no data
0/7.5	Token-Permissions — detected GitHub workflow tokens with excessive permissions
2.2/7.5	Vulnerabilities — 7 existing vulnerabilities detected

Inputs used

source	openssf_scorecard
checks_evaluated	15
scorecard_version	v5.5.0
checks_inconclusive	3
scorecard_aggregate	6.5

Excluded from scoring (no data or not applicable): Branch-Protection, Pinned-Dependencies, Signed-Releases. Remaining weights renormalized.

Dependency advisories

34At Risk

How it's scored

10.2/35	Direct dependencies free of known advisories — 4 affected: gradio 6.10.0 (high 7.5), python-dotenv 1.0.1 (moderate 6.6), torch 2.12.1 (moderate 5.3), +1 more
4.8/25	Indirect dependencies free of known advisories — 3 affected: pillow 11.3.0 (critical 9.1), sqlitedict 2.1.0 (high 8.8), starlette 0.52.1 (high 7.5)
18.9/40	No advisories left outstanding — 6 advisory-carrying package(s) unaddressed past 90 days; oldest published 708 days ago

Inputs used

source	osv
advisories	57
affected_packages	7
assessed_packages	211
unassessed_packages	0
affected_by_severity	critical 1, high 3, moderate 2, unknown 1
direct_affected_packages	4

Matched the pypi:axolotl@0.18.0 runtime dependency closure — what installing the published package pulls in — 211 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.

84Excellent · 4% of overall

Agent context & guidance

85Excellent

How it's scored

45/45	Agent instructions — AGENTS.md, CLAUDE.md
0/15	Machine-readable docs (llms.txt)
40/40	Legible commit history — 79 of 82 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	no
llms_txt_url	—
legible_history_share	0.963
agent_instruction_files	AGENTS.md, CLAUDE.md
agent_instruction_max_bytes	6,229

Verify loop (build / test / typecheck)

78Good

How it's scored

0/18	One-command bootstrap
22/22	Automated tests
11/11	Lint / format config — pyproject.toml ([tool.ruff])
11/11	Static type checking — .mypy.ini
10/10	Reproducible environment — Dockerfile
8/10	Demonstrated agent practice — 4 of the last 100 commits agent-authored or agent-credited
8/8	Automated maintenance — 18 of the last 100 commits are automated dependency updates
0/10	OpenSSF Scorecard: Pinned-Dependencies — no data

Inputs used

has_nix	no
has_tests	yes
lockfiles	—
has_dockerfile	yes
typed_language	no
bootstrap_files	—
has_devcontainer	no
has_linter_config	yes
typecheck_configs	.mypy.ini
agent_commit_share	0.04
toolchain_manifests	—
dependency_bot_commit_share	0.18

Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Pinned-Dependencies. Remaining weights renormalized.

Code legibility for models

81Excellent

How it's scored

27/45	Type-checkable code — Python with type-check config (.mypy.ini)
54.2/55	Manageable file sizes — 13/919 source files over 60KB

Inputs used

primary_language	Python
largest_source_bytes	136,466
source_files_sampled	919
oversized_source_files	13

Machine-readable interfaces

100Exceptional

How it's scored

0/40	API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
0/20	MCP server — not applicable to this kind of software
40/40	Runnable examples — examples, notebooks

Inputs used

example_dirs	examples, notebooks
has_mcp_signal	no
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

12,413GitHub stars

98contributors

531commits, last 12 months

0days since last push

32releases

1bus factor

119open issues

PyPIpackage ecosystems

Data collection warnings

Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
Star history carried forward from 2026-07-21: GitHub restricted the stargazers API to repository admins, so it can no longer be collected. The repository has 12413 stars today.
pypi download statistics for 'axolotl' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced

More detail

Star and fork history 12,228 ★ / 1,413 ⇿

12,228Stars

1,413Forks

27Releases

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.

Only the most recent history is shown — this repository exceeds the collection window, so the earliest history is not captured.

Star history is shown as collected on 2026-07-21. 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.

Major 0Minor 14Patch 11

Each point covers 3 days.

OpenSSF Scorecard 6.5 / 10

6.5aggregate

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 · 2026-08-27 23:16 UTC

10	Binary-Artifacts	no binaries found in the repo
n/a	Branch-Protection	internal 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
8	CI-Tests	26 out of 29 merged PRs checked by a CI test -- score normalized to 8
0	CII-Best-Practices	no effort to earn an OpenSSF best practices badge detected
5	Code-Review	Found 11/22 approved changesets -- score normalized to 5
10	Contributors	project has 27 contributing companies or organizations
10	Dangerous-Workflow	no dangerous workflow patterns detected
10	Dependency-Update-Tool	update tool detected
0	Fuzzing	project is not fuzzed
10	License	license file detected
10	Maintained	30 commit(s) and 13 issue activity found in the last 90 days -- score normalized to 10
10	Packaging	packaging workflow detected
n/a	Pinned-Dependencies	internal error: internal error: invalid Dockerfile
0	SAST	SAST tool is not run on all commits -- score normalized to 0
10	Security-Policy	security policy file detected
n/a	Signed-Releases	no releases found
0	Token-Permissions	detected GitHub workflow tokens with excessive permissions
3	Vulnerabilities	7 existing vulnerabilities detected

Direct dependencies 58

Registry	Package	Version constraint	Manifest
PyPI	torch	`>=2.11.0,<=2.13.0`	pyproject.toml
PyPI	packaging	`==26.0`	pyproject.toml
PyPI	huggingface_hub	`==1.17.0`	pyproject.toml
PyPI	peft	`==0.20.0`	pyproject.toml
PyPI	tokenizers	`==0.22.2`	pyproject.toml
PyPI	transformers	`==5.15.0`	pyproject.toml
PyPI	accelerate	`==1.13.0`	pyproject.toml
PyPI	datasets	`==4.8.4`	pyproject.toml
PyPI	trl	`==1.8.0`	pyproject.toml
PyPI	hf_xet	`==1.4.3`	pyproject.toml
PyPI	kernels	`>=0.16.0,<0.17.0`	pyproject.toml
PyPI	trackio	`==0.19.0`	pyproject.toml
PyPI	typing-extensions	`==4.15.0`	pyproject.toml
PyPI	optimum	`==1.16.2`	pyproject.toml
PyPI	hf_transfer	`—`	pyproject.toml
PyPI	sentencepiece	`—`	pyproject.toml
PyPI	gradio	`==6.10.0`	pyproject.toml
PyPI	modal	`==1.3.0.post1`	pyproject.toml
PyPI	pydantic	`==2.12.5`	pyproject.toml
PyPI	addict	`—`	pyproject.toml
PyPI	fire	`—`	pyproject.toml
PyPI	PyYAML	`==6.0.3`	pyproject.toml
PyPI	requests	`—`	pyproject.toml
PyPI	wandb	`—`	pyproject.toml
PyPI	einops	`—`	pyproject.toml
PyPI	colorama	`—`	pyproject.toml
PyPI	numba	`>=0.63.1,<1.0`	pyproject.toml
PyPI	numpy	`>=2.1,<3.0`	pyproject.toml
PyPI	typer	`==0.25.1`	pyproject.toml
PyPI	evaluate	`==0.4.1`	pyproject.toml
PyPI	scipy	`—`	pyproject.toml
PyPI	nvidia-ml-py	`==12.560.30`	pyproject.toml
PyPI	art	`—`	pyproject.toml
PyPI	tensorboard	`—`	pyproject.toml
PyPI	python-dotenv	`==1.0.1`	pyproject.toml
PyPI	s3fs	`==2025.10.0`	pyproject.toml
PyPI	gcsfs	`==2025.10.0`	pyproject.toml
PyPI	adlfs	`==2026.2.0`	pyproject.toml
PyPI	ocifs	`==1.3.2`	pyproject.toml
PyPI	zstandard	`==0.22.0`	pyproject.toml
PyPI	fastcore	`—`	pyproject.toml
PyPI	lm_eval	`==0.4.11`	pyproject.toml
PyPI	langdetect	`==1.0.9`	pyproject.toml
PyPI	immutabledict	`==4.2.0`	pyproject.toml
PyPI	antlr4-python3-runtime	`==4.13.2`	pyproject.toml
PyPI	schedulefree	`==1.4.1`	pyproject.toml
PyPI	openenv-core	`==0.1.0`	pyproject.toml
PyPI	axolotl-contribs-lgpl	`==0.0.7`	pyproject.toml
PyPI	axolotl-contribs-mit	`==0.0.6`	pyproject.toml
PyPI	posthog	`==6.7.11`	pyproject.toml
PyPI	mistral-common	`==1.11.5`	pyproject.toml
PyPI	bitsandbytes	`==0.50.0`	pyproject.toml
PyPI	triton	`>=3.4.0`	pyproject.toml
PyPI	xformers	`>=0.0.33.post2`	pyproject.toml
PyPI	liger-kernel	`==0.8.0`	pyproject.toml
PyPI	torchao	`==0.17.0`	pyproject.toml
PyPI	fla-core	`==0.4.1`	pyproject.toml
PyPI	flash-linear-attention	`==0.4.1`	pyproject.toml

All dependencies 73

Full resolved dependency set from the GitHub dependency graph: 58 direct and 15 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

Registry	Package	Version	Relation
PyPI	accelerate	`1.13.0`	direct
PyPI	addict	`—`	direct
PyPI	adlfs	`2026.2.0`	direct
PyPI	antlr4-python3-runtime	`4.13.2`	direct
PyPI	art	`—`	direct
PyPI	axolotl-contribs-lgpl	`0.0.7`	direct
PyPI	axolotl-contribs-mit	`0.0.6`	direct
PyPI	bitsandbytes	`0.50.0`	direct
PyPI	colorama	`—`	direct
PyPI	datasets	`4.8.4`	direct
PyPI	einops	`—`	direct
PyPI	evaluate	`0.4.1`	direct
PyPI	fastcore	`—`	direct
PyPI	fire	`—`	direct
PyPI	fla-core	`0.4.1`	direct
PyPI	flash-linear-attention	`0.4.1`	direct
PyPI	gcsfs	`2025.10.0`	direct
PyPI	gradio	`6.10.0`	direct
PyPI	hf-transfer	`—`	direct
PyPI	hf-xet	`1.4.3`	direct
PyPI	huggingface-hub	`1.17.0`	direct
PyPI	immutabledict	`4.2.0`	direct
PyPI	kernels	`—`	direct
PyPI	langdetect	`1.0.9`	direct
PyPI	liger-kernel	`0.8.0`	direct
PyPI	lm-eval	`0.4.11`	direct
PyPI	mistral-common	`1.11.5`	direct
PyPI	modal	`1.3.0.post1`	direct
PyPI	numba	`—`	direct
PyPI	numpy	`—`	direct
PyPI	nvidia-ml-py	`12.560.30`	direct
PyPI	ocifs	`1.3.2`	direct
PyPI	openenv-core	`0.1.0`	direct
PyPI	optimum	`1.16.2`	direct
PyPI	packaging	`26.0`	direct
PyPI	peft	`0.20.0`	direct
PyPI	posthog	`6.7.11`	direct
PyPI	pydantic	`2.12.5`	direct
PyPI	python-dotenv	`1.0.1`	direct
PyPI	pyyaml	`6.0.3`	direct
PyPI	requests	`—`	direct
PyPI	s3fs	`2025.10.0`	direct
PyPI	schedulefree	`1.4.1`	direct
PyPI	scipy	`—`	direct
PyPI	sentencepiece	`—`	direct
PyPI	tensorboard	`—`	direct
PyPI	tokenizers	`0.22.2`	direct
PyPI	torch	`—`	direct
PyPI	torchao	`0.17.0`	direct
PyPI	trackio	`0.19.0`	direct
PyPI	transformers	`5.15.0`	direct
PyPI	triton	`—`	direct
PyPI	trl	`1.8.0`	direct
PyPI	typer	`0.25.1`	direct
PyPI	typing-extensions	`4.15.0`	direct
PyPI	wandb	`—`	direct
PyPI	xformers	`—`	direct
PyPI	zstandard	`0.22.0`	direct
PyPI	auto-gptq	`0.5.1`	indirect
PyPI	came-pytorch	`0.1.3`	indirect
PyPI	deepspeed	`—`	indirect
PyPI	fbgemm-gpu-genai	`—`	indirect
PyPI	flash-attn	`2.8.3`	indirect
PyPI	llmcompressor	`—`	indirect
PyPI	lomo-optim	`0.1.1`	indirect
PyPI	mamba-ssm	`1.2.0.post1`	indirect
PyPI	q-galore-torch	`1.0`	indirect
PyPI	ray	`—`	indirect
PyPI	ring-flash-attn	`—`	indirect
PyPI	setuptools	`—`	indirect
PyPI	setuptools-scm	`—`	indirect
PyPI	torch-optimi	`0.2.1`	indirect
PyPI	vllm	`—`	indirect

Dependency advisories 7

Installing pypi:axolotl@0.18.0 pulls in 211 packages, direct and transitive: 7 carry known advisories, of which 4 are direct dependencies.

Package	Version	Relation	Severity	Advisories	Fixed in
pillow	`11.3.0`	indirect	critical	36	`12.3.0`
gradio	`6.10.0`	direct	high	5	`6.16.0`
sqlitedict	`2.1.0`	indirect	high	2	—
starlette	`0.52.1`	indirect	high	10	`1.3.1`
python-dotenv	`1.0.1`	direct	moderate	2	`1.2.2`
torch	`2.12.1`	direct	moderate	1	`2.13.0`
datasets	`4.8.4`	direct	unknown	1	`5.0.1`

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.

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.

Software health index

Score profile

Ownership

Package ecosystems

Metrics by category

Key facts

Data collection warnings

More detail

Feedback

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