Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-20 08:14 UTC

google-research / timesfm

TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

Python · HTML · Jupyter NotebookApache-2.0★ 33,264 stars⑂ 3,204 forkssince Apr 2024View on GitHub ↗
KindLibraryCommand-line toolhow this is determined

google-research/timesfm holds a health index of 86 out of 100, placing it in the Excellent band. It scores highest on Vitality (83/100) and lowest on Security (58/100). It was last updated 4 days ago. 2 contributors account for most of its recent work.

86
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.

86
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 72 is calibrated to 86 on the published index scale (record calibration 2026-08-02).

Ownership

Google ResearchOrganization
17,539 followers359 public repossince Oct 2018

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPItimesfm3.0.2217,8964110 days ago

Metrics by category

Vitality

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

83Excellent · 21% of overall
How it's scored
36/36Push recency — last push 4 days ago
18/36Commit cadence — 26/52 weeks with commits
18/18Commit volume — 153 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 5 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year153
human_commit_share1
days_since_last_push4
active_weeks_last_year26
How it's scored
27/27Ships releases — 5 releases published
36/36Release recency — latest release 22 days ago
12.6/27Release cadence — a release every ~169.8 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count5
latest_release_tagv3.0.0
releases_from_tagsno
days_since_latest_release22
mean_days_between_releases169.8
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?

76Good · 17% of overall
How it's scored
60/60Stars — 33,264 stars
25/25Forks — 3,204 forks
13/15Watchers — 221 watchers
Inputs used
forks3,204
stars33,264
watchers221
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_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?

71Good · 23% of overall
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
13.4/22.5Commit distribution — top contributor authored 40% of commits
13.5/13.5Contributor breadth — 27 contributors
10/10OpenSSF Scorecard: Contributors — project has 8 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled27
top_contributor_share0.404
How it's scored
14.2/42Issue resolution — 34% of issues closed
18/30PR acceptance — 90/150 decided PRs merged
9.8/13Newcomer PR acceptance — 6/8 first-time contributors' PRs merged in 30d
9/15OpenSSF Scorecard: Code-Review — Found 6/10 approved changesets -- score normalized to 6
Inputs used
merged_prs90
open_issues156
closed_issues80
prs_merged_7d2
prs_decided_7d2
prs_merged_30d11
prs_decided_30d13
issue_closed_ratio0.339
closed_unmerged_prs60
first_time_authors_30d6
first_time_prs_merged_30d6
first_time_prs_decided_30d8
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
25/25Owner reach — 17,539 followers of google-research
25/25Track record — 359 public repos, account ~7 yr old
Inputs used
followers17,539
owner_typeOrganization
is_verifiedno
owner_logingoogle-research
public_repos359
account_age_days2,908

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 10 days ago
20/20Version history — 41 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagestimesfm
ecosystemspypi
any_deprecatedno
min_days_since_publish10

Engineering Quality

Are baseline engineering and documentation practices in place?

72Good · 19% of overall
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 — 7 out of 7 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

55Moderate
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage site — https://research.google/blog/a-decoder-only-foundation-model-for-time-series-forecasting/
10/10Repository description
0/10Topics
0/10Wiki
Inputs used
topics—
has_wikino
homepagehttps://research.google/blog/a-decoder-only-foundation-model-for-time-series-forecasting/
docs_sitehttps://research.google/blog/a-decoder-only-foundation-model-for-time-series-forecasting/
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

58Moderate · 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 — 7 out of 7 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
4.5/7.5Code-Review — Found 6/10 approved changesets -- score normalized to 6
2.5/2.5Contributors — project has 8 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 5 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
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 — 263 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate4.8
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_packages17
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:timesfm@3.0.2 runtime dependency closure — what installing the published package pulls in — 17 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.

66Good · 4% of overall
How it's scored
45/45Agent instructions — AGENTS.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 79 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.79
agent_instruction_filesAGENTS.md
agent_instruction_max_bytes854
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
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
lockfilespoetry.lock
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0
How it's scored
0/45Type-checkable code — Python without a type-check config
55/55Manageable file sizes — 0/101 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes27,305
source_files_sampled101
oversized_source_files0
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 — examples, notebooks
Inputs used
example_dirsexamples, notebooks
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

33,264GitHub stars
27contributors
153commits, last 12 months
4days since last push
5releases
2bus factor
156open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

More detail

Star and fork history 0 ★ / 3,204 ⇿
0Stars
3,204Forks
2Releases

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.

2,0002,2502,5002,7503,0003,2503,204702026-062026-082026-09
Major 1Minor 0Patch 1
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 · 2026-09-20 08:13 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
10CI-Tests7 out of 7 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
6Code-ReviewFound 6/10 approved changesets -- score normalized to 6
10Contributorsproject has 8 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 5 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
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
0Vulnerabilities263 existing vulnerabilities detected
Direct dependencies 17
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All dependencies 289

Full resolved dependency set from the GitHub dependency graph: 21 direct and 268 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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PyPItensorflow-estimator2.9.0indirect
PyPItensorflow-hub0.16.1indirect
PyPItensorflow-io-gcs-filesystem0.37.1indirect
PyPItensorflow-macos2.9.2indirect
PyPItensorflow-metadata1.12.0indirect
PyPItensorflow-text2.9.0indirect
PyPItensorstore0.1.55indirect
PyPItermcolor2.5.0indirect
PyPIterminado0.18.1indirect
PyPItf-keras2.15.0indirect
PyPItfds-nightly4.8.3.dev202303280045indirect
PyPIthreadpoolctl3.5.0indirect
PyPItinycss21.4.0indirect
PyPItokenizers0.21.0indirect
PyPItoml0.10.2indirect
PyPItomli2.2.1indirect
PyPItoolz1.0.0indirect
PyPItornado6.4.2indirect
PyPItqdm4.67.1indirect
PyPItraitlets5.14.3indirect
PyPItransformers4.47.1indirect
PyPItriton2.3.1indirect
PyPItypeguard2.13.3indirect
PyPItyper-slim0.20.0indirect
PyPItypes-python-dateutil2.9.0.20241206indirect
PyPItyping-extensions4.12.2indirect
PyPItyping-extensions4.15.0indirect
PyPItzdata2024.2indirect
PyPIuri-template1.3.0indirect
PyPIurllib32.3.0indirect
PyPIwcwidth0.2.13indirect
PyPIwebcolors24.11.1indirect
PyPIwebencodings0.5.1indirect
PyPIwebsocket-client1.8.0indirect
PyPIwerkzeug3.1.3indirect
PyPIwheel0.45.1indirect
PyPIwidgetsnbextension4.0.13indirect
PyPIwrapt1.17.0indirect
PyPIzipp3.21.0indirect
Dependency advisories 0

Installing pypi:timesfm@3.0.2 pulls in 17 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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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.