Public recordModerate
Software health reportschema 0.12.0 · metrics 1.13.0 · 2026-07-17 18:59 UTC
tensorflow / text
Making text a first-class citizen in TensorFlow.
tensorflow/text holds a health index of 63 out of 100, placing it in the Moderate band. It scores highest on Community & Adoption (76/100) and lowest on Security (34/100). It was last updated today. 2 contributors account for most of its recent work.
63
overall / 100Software health index
Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At risk ceiling of 49. AI Readiness sits outside the overall score.
63
Excellent85-100Exemplary; meets essentially all checked criteria
Good70-84Healthy; minor gaps
Moderate50-69Acceptable with notable gaps; review recommended
At risk30-49Significant weaknesses; adoption warrants caution
Critical1-29Severe 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.
Ownership
tensorflowOrganization
21,565 followers107 public repossince Nov 2015
This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
71
Development activity
64Moderate
How it's scored
| 36/36 | Push recency — last push 0 days ago |
| 10.4/36 | Commit cadence — 15/52 weeks with commits |
| 13.1/18 | Commit volume — 28 commits in the last year |
| 5/10 | OpenSSF Scorecard: Maintained — 7 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 5 |
Inputs used
| commits_last_year | 28 |
| human_commit_share | — |
| days_since_last_push | 0 |
| active_weeks_last_year | 15 |
Release discipline
82Good
How it's scored
| 27/27 | Ships releases — 64 releases published |
| 27/36 | Release recency — latest release 129 days ago |
| 19.8/27 | Release cadence — a release every ~81 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — no data |
Inputs used
| releases_count | 64 |
| latest_release_tag | v2.20.1 |
| releases_from_tags | no |
| days_since_latest_release | 129 |
| mean_days_between_releases | 81 |
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?
76
Popularity & adoption
81Good
How it's scored
| 50.5/60 | Stars — 1,290 stars |
| 21.5/25 | Forks — 379 forks |
| 8.8/15 | Watchers — 39 watchers |
Inputs used
| forks | 379 |
| stars | 1,290 |
| watchers | 39 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community health
70Good
How it's scored
| 22.5/22.5 | README |
| 22.5/22.5 | License — recognized license (Apache-2.0) |
| 18/18 | CONTRIBUTING guide |
| 0/13.5 | Code of conduct |
| 0/7.2 | Issue template |
| 0/6.3 | PR template |
Inputs used
| has_readme | yes |
| has_license | yes |
| has_contributing | yes |
| has_issue_template | no |
| has_code_of_conduct | no |
| has_pull_request_template | no |
Sustainability & Governance
Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?
66
Maintainer resilience (bus factor)
64Moderate
How it's scored
| 25.2/54 | Bus factor — 2 contributor(s) cover half of all commits |
| 15.2/22.5 | Commit distribution — top contributor authored 32% of commits |
| 13.5/13.5 | Contributor breadth — 100 contributors |
| 10/10 | OpenSSF Scorecard: Contributors — project has 11 contributing companies or organizations |
Inputs used
| bus_factor | 2 |
| contributors_sampled | 100 |
| top_contributor_share | 0.324 |
Issue & PR responsiveness
56Moderate
How it's scored
| 30.6/46.8 | Issue resolution — 65% of issues closed |
| 22.6/38.3 | PR acceptance — 653/1,106 decided PRs merged |
| 3/15 | OpenSSF Scorecard: Code-Review — Found 8/29 approved changesets -- score normalized to 2 |
Inputs used
| merged_prs | 653 |
| open_issues | 92 |
| closed_issues | 174 |
| issue_closed_ratio | 0.654 |
| closed_unmerged_prs | 453 |
Ownership & stewardship
80Good
How it's scored
| 30/30 | Ownership backing — organization-owned |
| 0/20 | Verified domain |
| 25/25 | Owner reach — 21,565 followers of tensorflow |
| 25/25 | Track record — 107 public repos, account ~10 yr old |
Inputs used
| followers | 21,565 |
| owner_type | Organization |
| is_verified | — |
| owner_login | tensorflow |
| public_repos | 107 |
| account_age_days | 3,907 |
Engineering Quality
Are baseline engineering and documentation practices in place?
62
Engineering practices
44At risk
How it's scored
| 0/24 | CI workflows |
| 24/24 | Tests present |
| 0/16 | Linter config |
| 0/9.6 | Pre-commit hooks |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 22 out of 22 merged PRs checked by a CI test -- score normalized to 10 |
Inputs used
| has_ci | no |
| has_tests | yes |
| has_editorconfig | no |
| has_linter_config | no |
| has_precommit_config | no |
Documentation
90Excellent
How it's scored
| 30/30 | README |
| 25/25 | Documentation directory |
| 15/15 | Documentation / homepage site — https://www.tensorflow.org/beta/tutorials/tensorflow_text/intro |
| 10/10 | Repository description |
| 0/10 | Topics |
| 10/10 | Wiki |
Inputs used
| topics | — |
| has_wiki | yes |
| homepage | https://www.tensorflow.org/beta/tutorials/tensorflow_text/intro |
| 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?
34
Security posture
34At risk
How it's scored
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — branch protection not enabled on development/release branches |
| 2.5/2.5 | CI-Tests — 22 out of 22 merged PRs checked by a CI test -- score normalized to 10 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 1.5/7.5 | Code-Review — Found 8/29 approved changesets -- score normalized to 2 |
| 2.5/2.5 | Contributors — project has 11 contributing companies or organizations |
| 0/10 | Dangerous-Workflow — no data |
| 0/7.5 | Dependency-Update-Tool — no update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | License — license file detected |
| 3.8/7.5 | Maintained — 7 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 5 |
| 0/5 | Packaging — no data |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 5/5 | SAST — SAST tool is run on all commits |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — no data |
| 0/7.5 | Token-Permissions — no data |
| 0/7.5 | Vulnerabilities — 39 existing vulnerabilities detected |
Inputs used
| source | openssf_scorecard |
| checks_evaluated | 14 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 4 |
| scorecard_aggregate | 3.4 |
Excluded from scoring (no data or not applicable): dangerous_workflow, packaging, signed_releases, token_permissions. Remaining weights renormalized.
AI Readiness
How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score.
43
Agent context & guidance
1Critical
How it's scored
| 0/45 | Agent instructions — no CLAUDE.md / AGENTS.md / editor rules |
| 0/15 | Machine-readable docs (llms.txt) |
| 0/40 | Legible commit history — no data |
Inputs used
| has_llms_txt | no |
| legible_history_share | — |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
How it's scored
| 0/18 | One-command bootstrap |
| 22/22 | Automated tests |
| 0/11 | Lint / format config |
| 11/11 | Static type checking — C++ (statically typed) |
| 0/10 | Reproducible environment |
| 0/10 | Demonstrated agent practice — no data |
| 0/8 | Automated maintenance — no data |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Inputs used
| has_nix | no |
| has_tests | yes |
| lockfiles | — |
| has_dockerfile | no |
| typed_language | yes |
| bootstrap_files | — |
| has_devcontainer | no |
| has_linter_config | no |
| typecheck_configs | — |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | — |
Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.
Code legibility for models
100Excellent
How it's scored
| 45/45 | Type-checkable code — C++ (statically typed) |
| 54.8/55 | Manageable file sizes — 1/314 source files over 60KB |
Inputs used
| primary_language | C++ |
| largest_source_bytes | 107,994 |
| source_files_sampled | 314 |
| oversized_source_files | 1 |
How it's scored
| 40/40 | API schema (OpenAPI/GraphQL/proto) — tensorflow_text/core/kernels/edit_changes.proto |
| 0/20 | MCP server |
| 40/40 | Runnable examples — examples, notebooks |
Inputs used
| example_dirs | examples, notebooks |
| has_mcp_signal | no |
| api_schema_files | tensorflow_text/core/kernels/edit_changes.proto |
Key facts
1,290GitHub stars
100contributors
28commits, last 12 months
0days since last push
64releases
2bus factor
92open issues
—package ecosystems
More detail
OpenSSF Scorecard 3.4 / 10
3.4aggregate
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).
| 10 | Binary-Artifacts | no binaries found in the repo |
| 0 | Branch-Protection | branch protection not enabled on development/release branches |
| 10 | CI-Tests | 22 out of 22 merged PRs checked by a CI test -- score normalized to 10 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 2 | Code-Review | Found 8/29 approved changesets -- score normalized to 2 |
| 10 | Contributors | project has 11 contributing companies or organizations |
| n/a | Dangerous-Workflow | no workflows found |
| 0 | Dependency-Update-Tool | no update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 5 | Maintained | 7 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 5 |
| n/a | Packaging | packaging workflow not detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 10 | SAST | SAST tool is run on all commits |
| 0 | Security-Policy | security policy file not detected |
| n/a | Signed-Releases | no releases found |
| n/a | Token-Permissions | No tokens found |
| 0 | Vulnerabilities | 39 existing vulnerabilities detected |
All dependencies 81
Full resolved dependency set from the GitHub dependency graph: 0 direct and 81 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
| Registry | Package | Version | Relation |
|---|---|---|---|
| PyPI | absl-py | — | indirect |
| PyPI | absl-py | 2.3.1 | indirect |
| PyPI | array-record | — | indirect |
| PyPI | array-record | 0.8.1 | indirect |
| PyPI | array-record | 0.8.3 | indirect |
| PyPI | astunparse | 1.6.3 | indirect |
| PyPI | attrs | 25.4.0 | indirect |
| PyPI | certifi | 2025.11.12 | indirect |
| PyPI | charset-normalizer | 3.4.4 | indirect |
| PyPI | click | 8.1.8 | indirect |
| PyPI | dm-tree | 0.1.8 | indirect |
| PyPI | dm-tree | 0.1.9 | indirect |
| PyPI | docstring-parser | 0.17.0 | indirect |
| PyPI | einops | 0.8.1 | indirect |
| PyPI | etils | 1.13.0 | indirect |
| PyPI | etils | 1.5.2 | indirect |
| PyPI | flatbuffers | 25.12.19 | indirect |
| PyPI | fsspec | 2025.12.0 | indirect |
| PyPI | fsspec | 2025.3.0 | indirect |
| PyPI | gast | 0.7.0 | indirect |
| PyPI | google-pasta | 0.2.0 | indirect |
| PyPI | googleapis-common-protos | 1.72.0 | indirect |
| PyPI | grpcio | 1.76.0 | indirect |
| PyPI | h5py | 3.13.0 | indirect |
| PyPI | idna | 3.11 | indirect |
| PyPI | immutabledict | 4.2.2 | indirect |
| PyPI | importlib-metadata | 8.6.1 | indirect |
| PyPI | importlib-resources | 6.5.2 | indirect |
| PyPI | keras | 3.10.0 | indirect |
| PyPI | keras | 3.11.0 | indirect |
| PyPI | keras | 3.13.0 | indirect |
| PyPI | libclang | 18.1.1 | indirect |
| PyPI | markdown | 3.10 | indirect |
| PyPI | markdown | 3.8 | indirect |
| PyPI | markdown-it-py | 3.0.0 | indirect |
| PyPI | markdown-it-py | 4.0.0 | indirect |
| PyPI | markupsafe | 3.0.3 | indirect |
| PyPI | mdurl | 0.1.2 | indirect |
| PyPI | ml-dtypes | 0.5.4 | indirect |
| PyPI | namex | 0.1.0 | indirect |
| PyPI | numpy | — | indirect |
| PyPI | numpy | 2.3.5 | indirect |
| PyPI | opt-einsum | 3.4.0 | indirect |
| PyPI | optree | 0.18.0 | indirect |
| PyPI | packaging | 25.0 | indirect |
| PyPI | pillow | 11.0.0 | indirect |
| PyPI | pillow | 12.0.0 | indirect |
| PyPI | promise | 2.3 | indirect |
| PyPI | protobuf | — | indirect |
| PyPI | protobuf | 6.32.0 | indirect |
| PyPI | protobuf | 6.33.2 | indirect |
| PyPI | psutil | 7.1.3 | indirect |
| PyPI | pyarrow | 22.0.0 | indirect |
| PyPI | pygments | 2.19.2 | indirect |
| PyPI | requests | 2.32.5 | indirect |
| PyPI | rich | 14.2.0 | indirect |
| PyPI | setuptools | — | indirect |
| PyPI | setuptools | 80.9.0 | indirect |
| PyPI | simple-parsing | 0.1.7 | indirect |
| PyPI | six | 1.17.0 | indirect |
| PyPI | tensorboard | 2.20.0 | indirect |
| PyPI | tensorboard-data-server | 0.7.2 | indirect |
| PyPI | tensorflow | — | indirect |
| PyPI | tensorflow | 2.20.0 | indirect |
| PyPI | tensorflow-datasets | — | indirect |
| PyPI | tensorflow-datasets | 4.9.3 | indirect |
| PyPI | tensorflow-datasets | 4.9.9 | indirect |
| PyPI | tensorflow-metadata | — | indirect |
| PyPI | tensorflow-metadata | 1.17.3 | indirect |
| PyPI | termcolor | 2.5.0 | indirect |
| PyPI | termcolor | 3.2.0 | indirect |
| PyPI | tf-keras | — | indirect |
| PyPI | tf-keras | 2.20.1 | indirect |
| PyPI | toml | 0.10.2 | indirect |
| PyPI | tqdm | 4.67.1 | indirect |
| PyPI | typing-extensions | 4.15.0 | indirect |
| PyPI | urllib3 | 2.5.0 | indirect |
| PyPI | werkzeug | 3.1.4 | indirect |
| PyPI | wheel | 0.45.1 | indirect |
| PyPI | wrapt | 2.0.1 | indirect |
| PyPI | zipp | 3.23.0 | indirect |
Raw JSON report machine-readable
{
"data": {
"repo": {
"topics": [],
"is_fork": false,
"size_kb": 33566,
"has_wiki": true,
"homepage": "https://www.tensorflow.org/beta/tutorials/tensorflow_text/intro",
"languages": {
"C++": 1345148,
"Shell": 10976,
"Python": 1176815,
"Starlark": 136058,
"PureBasic": 2,
"Linker Script": 82
},
"pushed_at": "2026-07-17T16:22:44Z",
"created_at": "2019-05-29T22:10:03Z",
"owner_type": "Organization",
"updated_at": "2026-07-17T16:20:11Z",
"description": "Making text a first-class citizen in TensorFlow.",
"is_archived": false,
"is_disabled": false,
"license_spdx": "Apache-2.0",
"default_branch": "master",
"primary_language": "C++",
"significant_languages": [
"C++",
"Python"
]
},
"owner": {
"blog": "http://www.tensorflow.org",
"name": null,
"type": "Organization",
"login": "tensorflow",
"company": null,
"followers": 21565,
"avatar_url": "https://avatars.githubusercontent.com/u/15658638?v=4",
"created_at": "2015-11-04T19:32:50Z",
"is_verified": null,
"public_repos": 107,
"account_age_days": 3907
},
"activity": {
"releases_count": 64,
"commits_last_year": 28,
"latest_release_at": "2026-03-10T18:19:40Z",
"latest_release_tag": "v2.20.1",
"releases_from_tags": false,
"days_since_last_push": 0,
"active_weeks_last_year": 15,
"days_since_latest_release": 129,
"mean_days_between_releases": 81
},
"community": {
"has_readme": true,
"has_license": true,
"has_description": true,
"has_contributing": true,
"health_percentage": 50,
"has_issue_template": false,
"has_code_of_conduct": false,
"has_pull_request_template": false
},
"ecosystem": {
"packages": []
},
"popularity": {
"forks": 379,
"stars": 1290,
"watchers": 39,
"open_issues_and_prs": 235
},
"ai_readiness": {
"has_nix": false,
"example_dirs": [
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"notebooks"
],
"has_llms_txt": false,
"has_dockerfile": false,
"has_mcp_signal": false,
"bootstrap_files": [],
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],
"has_devcontainer": false,
"typecheck_configs": [],
"largest_source_bytes": 107994,
"source_files_sampled": 314,
"oversized_source_files": 1,
"agent_instruction_files": [],
"agent_instruction_max_bytes": null
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{
"key": "pr_acceptance",
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{
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{
"key": "stewardship",
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{
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{
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{
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{
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{
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{
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{
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{
"key": "fuzzing",
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{
"key": "license",
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{
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{
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{
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{
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{
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{
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"notes": [
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"components": [
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},
{
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"weight": 0,
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],
"description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
}
],
"metrics_version": "1.13.0"
},
"warnings": [],
"report_type": "repository",
"generated_at": "2026-07-17T18:59:47.075946Z",
"schema_version": "0.12.0",
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"full_name": "tensorflow/text",
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"license_spdx": "Apache-2.0"
}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 v1.13.0, schema v0.12.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics.