Public recordModerate
Software health reportschema 0.27.0 · metrics 1.13.0 · 2026-07-27 08:56 UTC
bespokelabsai / curator
Synthetic data curation for post-training and structured data extraction
bespokelabsai/curator holds a health index of 68 out of 100, placing it in the Moderate band. It scores highest on Engineering Quality (95/100) and lowest on Security (10/100). It was last updated 4 days ago. 3 contributors account for most of its recent work.
68
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.
68
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
Bespoke LabsOrganization
128 followers17 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 | Tags |
|---|---|---|---|---|---|---|
| PyPI | bespokelabs-curator | 0.1.29 | 25,080 | 57 | 13 days ago | aicuratorbespoke |
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
72
Development activity
60Moderate
How it's scored
| 36/36 | Push recency — last push 4 days ago |
| 6.2/36 | Commit cadence — 9/52 weeks with commits |
| 12.2/18 | Commit volume — 22 commits in the last year |
| 0/10 | OpenSSF Scorecard: Maintained — no data |
Inputs used
| commits_last_year | 22 |
| human_commit_share | 1 |
| days_since_last_push | 4 |
| active_weeks_last_year | 9 |
Release discipline
90Excellent
How it's scored
| 27/27 | Ships releases — 26 releases published |
| 27/36 | Release recency — latest release 133 days ago |
| 27/27 | Release cadence — a release every ~42.4 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — no data |
Inputs used
| releases_count | 26 |
| latest_release_tag | v0.1.27 |
| releases_from_tags | no |
| days_since_latest_release | 133 |
| mean_days_between_releases | 42.4 |
Community & Adoption
Does the project have users, downloads, attention, and a welcoming setup for contributors?
73
Popularity & adoption
76Good
How it's scored
| 52.4/60 | Stars — 1,704 stars |
| 17.9/25 | Forks — 143 forks |
| 5.6/15 | Watchers — 11 watchers |
Inputs used
| forks | 143 |
| stars | 1,704 |
| watchers | 11 |
| 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 |
How it's scored
| 58.7/80 | Monthly downloads — 25,080 downloads/month across pypi |
| 0/20 | Registry dependents — not reported by this ecosystem |
Inputs used
| packages | bespokelabs-curator |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 25,080 |
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?
78
How it's scored
| 36/54 | Bus factor — 3 contributor(s) cover half of all commits |
| 17.2/22.5 | Commit distribution — top contributor authored 24% of commits |
| 13.5/13.5 | Contributor breadth — 22 contributors |
| 0/10 | OpenSSF Scorecard: Contributors — no data |
Inputs used
| bus_factor | 3 |
| contributors_sampled | 22 |
| top_contributor_share | 0.235 |
How it's scored
| 36.9/46.8 | Issue resolution — 79% of issues closed |
| 33.3/38.3 | PR acceptance — 387/444 decided PRs merged |
| 0/15 | OpenSSF Scorecard: Code-Review — no data |
Inputs used
| merged_prs | 387 |
| open_issues | 57 |
| closed_issues | 213 |
| issue_closed_ratio | 0.789 |
| closed_unmerged_prs | 57 |
Ownership & stewardship
59Moderate
How it's scored
| 30/30 | Ownership backing — organization-owned |
| 0/20 | Verified domain |
| 15.2/25 | Owner reach — 128 followers of bespokelabsai |
| 13.7/25 | Track record — 17 public repos, account ~2 yr old |
Inputs used
| followers | 128 |
| owner_type | Organization |
| is_verified | — |
| owner_login | bespokelabsai |
| public_repos | 17 |
| account_age_days | 825 |
Package maintenance
100Excellent
How it's scored
| 25/25 | Published & resolvable — 1 package(s) on pypi |
| 35/35 | Publish recency — latest publish 13 days ago |
| 20/20 | Version history — 57 published versions |
| 20/20 | Not deprecated — active, not deprecated or yanked |
Inputs used
| packages | bespokelabs-curator |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 13 |
Engineering Quality
Are baseline engineering and documentation practices in place?
95
Engineering practices
92Excellent
How it's scored
| 24/24 | CI workflows — 1 workflow(s) |
| 24/24 | Tests present |
| 16/16 | Linter config |
| 9.6/9.6 | Pre-commit hooks |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — no data |
Inputs used
| has_ci | yes |
| has_tests | yes |
| has_editorconfig | no |
| has_linter_config | yes |
| has_precommit_config | yes |
Documentation
100Excellent
How it's scored
| 30/30 | README |
| 25/25 | Documentation directory |
| 15/15 | Documentation / homepage site — https://docs.bespokelabs.ai/bespoke-curator |
| 10/10 | Repository description |
| 10/10 | Topics — 11 topics |
| 10/10 | Wiki |
Inputs used
| topics | synthetic-data, agents, llm, prompt, python, synthetic-dataset-generation, deep-learning, fine-tuning, instruction-tuning, machine-learning, natural-language-processing |
| has_wiki | yes |
| homepage | https://docs.bespokelabs.ai/bespoke-curator |
| 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?
10
Security posture
1Critical
How it's scored
| 0/30 | Security policy (SECURITY.md) |
| 0/25 | Dependabot config |
| 0/25 | Dependency lockfiles — published library — lockfiles are an application concern, not expected |
| 0/20 | CodeQL workflow |
Inputs used
| source | file_signals |
| lockfiles | poetry.lock |
| manifests | pyproject.toml |
| has_codeql_workflow | no |
| has_security_policy | no |
| has_dependabot_config | no |
Excluded from scoring (no data or not applicable): Dependency lockfiles. Remaining weights renormalized.
Dependency advisories
44At risk
How it's scored
| 7.6/35 | Direct dependencies free of known advisories — 1 affected: litellm 1.83.7 (critical 9.8) |
| 6.6/25 | Indirect dependencies free of known advisories — 4 affected: aiohttp 3.13.5 (high 7.5), click 8.1.8 (high 7.2), google-cloud-aiplatform 1.71.1 (high), +1 more |
| 29.9/40 | No advisories left outstanding — 2 advisory-carrying package(s) unaddressed past 90 days; oldest published 156 days ago |
Inputs used
| source | osv |
| advisories | 39 |
| affected_packages | 5 |
| assessed_packages | 114 |
| unassessed_packages | 0 |
| affected_by_severity | critical 1, high 3, moderate 1 |
| direct_affected_packages | 1 |
Matched the pypi:bespokelabs-curator@0.1.29 runtime dependency closure — what installing the published package pulls in — 114 packages. Reachability is not analyzed.
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.
58
Agent context & guidance
40At risk
How it's scored
| 0/45 | Agent instructions — no CLAUDE.md / AGENTS.md / editor rules |
| 0/15 | Machine-readable docs (llms.txt) |
| 40/40 | Legible commit history — 99 of 100 human commits state their intent (structured subject or explanatory body) |
Inputs used
| has_llms_txt | no |
| legible_history_share | 0.99 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
How it's scored
| 18/18 | One-command bootstrap — Makefile |
| 22/22 | Automated tests |
| 11/11 | Lint / format config |
| 0/11 | Static type checking |
| 10/10 | Reproducible environment — lockfile |
| 10/10 | Demonstrated agent practice — 12 of the last 100 commits agent-authored or agent-credited |
| 0/8 | Automated maintenance — no automated dependency updates observed |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — no data |
Inputs used
| has_nix | no |
| has_tests | yes |
| lockfiles | poetry.lock |
| has_dockerfile | no |
| typed_language | no |
| bootstrap_files | Makefile |
| has_devcontainer | no |
| has_linter_config | yes |
| typecheck_configs | — |
| agent_commit_share | 0.12 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Code legibility for models
55Moderate
How it's scored
| 0/45 | Type-checkable code — Python without a type-check config |
| 55/55 | Manageable file sizes — 0/175 source files over 60KB |
Inputs used
| primary_language | Python |
| largest_source_bytes | 35,987 |
| source_files_sampled | 175 |
| oversized_source_files | 0 |
Machine-readable interfaces
40At risk
How it's scored
| 0/40 | API schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP server |
| 40/40 | Runnable examples — examples |
Inputs used
| example_dirs | examples |
| has_mcp_signal | no |
| api_schema_files | — |
Key facts
1,704GitHub stars
22contributors
22commits, last 12 months
4days since last push
26releases
3bus factor
57open issues
PyPIpackage ecosystems
Data collection warnings
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
- OpenSSF Scorecard did not return a usable result (exit code -9); skipping Scorecard checks
More detail
Star and fork history 0 ★ / 143 ⇿
0Stars
143Forks
26Releases
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.
Major 0Minor 0Patch 20
Each point covers 2 days.
Direct dependencies 19
| Registry | Package | Version constraint | Manifest |
|---|---|---|---|
| PyPI | pydantic | >=2.9.2 | pyproject.toml |
| PyPI | datasets | ^3.0.2 | pyproject.toml |
| PyPI | instructor | ^1.6.3 | pyproject.toml |
| PyPI | pandas | 2.2.2 | pyproject.toml |
| PyPI | xxhash | ^3.5.0 | pyproject.toml |
| PyPI | tqdm | ^4.67.0 | pyproject.toml |
| PyPI | matplotlib | ^3.9.2 | pyproject.toml |
| PyPI | nest-asyncio | ^1.6.0 | pyproject.toml |
| PyPI | rich | ^13.7.0 | pyproject.toml |
| PyPI | litellm | 1.83.7 | pyproject.toml |
| PyPI | tiktoken | >=0.7.0 | pyproject.toml |
| PyPI | aiofiles | >=22.0,<26.0 | pyproject.toml |
| PyPI | anthropic | ^0.84.0 | pyproject.toml |
| PyPI | vertexai | 1.71.1 | pyproject.toml |
| PyPI | vllm | ^0.6.3 | pyproject.toml |
| PyPI | bespokelabs-sandbox | 0.1.1 | pyproject.toml |
| PyPI | tinker | ^0.8.0 | pyproject.toml |
| PyPI | posthog | ^3.11.0 | pyproject.toml |
| PyPI | mistralai | ^1.5.1 | pyproject.toml |
All dependencies 248
Full resolved dependency set from the GitHub dependency graph: 22 direct and 226 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
| Registry | Package | Version | Relation |
|---|---|---|---|
| PyPI | aiofiles | 25.1.0 | direct |
| PyPI | anthropic | 0.84.0 | direct |
| PyPI | bespokelabs-sandbox | 0.1.1 | direct |
| PyPI | datasets | — | direct |
| PyPI | datasets | 3.2.0 | direct |
| PyPI | datasets | 3.6.0 | direct |
| PyPI | instructor | 1.14.5 | direct |
| PyPI | litellm | 1.83.7 | direct |
| PyPI | matplotlib | 3.10.8 | direct |
| PyPI | mistralai | 1.12.4 | direct |
| PyPI | nest-asyncio | 1.6.0 | direct |
| PyPI | pandas | 2.2.2 | direct |
| PyPI | posthog | 3.25.0 | direct |
| PyPI | pydantic | 2.12.5 | direct |
| PyPI | rich | 13.9.4 | direct |
| PyPI | tiktoken | 0.12.0 | direct |
| PyPI | tinker | 0.8.1 | direct |
| PyPI | tqdm | 4.67.3 | direct |
| PyPI | vertexai | 1.71.1 | direct |
| PyPI | vllm | — | direct |
| PyPI | vllm | 0.6.6.post1 | direct |
| PyPI | xxhash | 3.6.0 | direct |
| PyPI | accelerate | — | indirect |
| PyPI | aiohappyeyeballs | 2.6.1 | indirect |
| PyPI | aiohttp | 3.13.5 | indirect |
| PyPI | aiohttp-cors | 0.8.1 | indirect |
| PyPI | aiosignal | 1.4.0 | indirect |
| PyPI | airportsdata | 20260304 | indirect |
| PyPI | annotated-doc | 0.0.4 | indirect |
| PyPI | annotated-types | 0.7.0 | indirect |
| PyPI | anyio | 4.12.1 | indirect |
| PyPI | aryn-sdk | — | indirect |
| PyPI | astor | 0.8.1 | indirect |
| PyPI | async-timeout | 5.0.1 | indirect |
| PyPI | attrs | 25.4.0 | indirect |
| PyPI | backoff | 2.2.1 | indirect |
| PyPI | backports-tarfile | 1.2.0 | indirect |
| PyPI | bespokelabs-curator | — | indirect |
| PyPI | bespokelabs-curator | 0.1.16 | indirect |
| PyPI | blake3 | 1.0.8 | indirect |
| PyPI | certifi | 2026.2.25 | indirect |
| PyPI | cffi | 2.0.0 | indirect |
| PyPI | cfgv | 3.5.0 | indirect |
| PyPI | charset-normalizer | 3.4.5 | indirect |
| PyPI | click | 8.1.8 | indirect |
| PyPI | cloudpickle | 3.1.2 | indirect |
| PyPI | colorama | 0.4.6 | indirect |
| PyPI | colorful | 0.5.8 | indirect |
| PyPI | compressed-tensors | 0.8.1 | indirect |
| PyPI | contourpy | 1.3.2 | indirect |
| PyPI | coverage | 7.13.4 | indirect |
| PyPI | cryptography | 46.0.5 | indirect |
| PyPI | cycler | 0.12.1 | indirect |
| PyPI | deepspeed | — | indirect |
| PyPI | depyf | 0.18.0 | indirect |
| PyPI | dill | 0.3.8 | indirect |
| PyPI | diskcache | 5.6.3 | indirect |
| PyPI | distlib | 0.4.0 | indirect |
| PyPI | distro | 1.9.0 | indirect |
| PyPI | docstring-parser | 0.17.0 | indirect |
| PyPI | docutils | 0.22.4 | indirect |
| PyPI | einops | 0.8.2 | indirect |
| PyPI | eval-type-backport | 0.3.1 | indirect |
| PyPI | exceptiongroup | 1.3.1 | indirect |
| PyPI | faiss-cpu | — | indirect |
| PyPI | fastapi | 0.135.1 | indirect |
| PyPI | fastuuid | 0.14.0 | indirect |
| PyPI | filelock | 3.25.2 | indirect |
| PyPI | fonttools | 4.62.1 | indirect |
| PyPI | frozenlist | 1.8.0 | indirect |
| PyPI | fsspec | 2025.3.0 | indirect |
| PyPI | gguf | 0.10.0 | indirect |
| PyPI | google-api-core | 2.25.2 | indirect |
| PyPI | google-auth | 2.49.1 | indirect |
| PyPI | google-cloud-aiplatform | 1.71.1 | indirect |
| PyPI | google-cloud-bigquery | 3.40.1 | indirect |
| PyPI | google-cloud-core | 2.5.0 | indirect |
| PyPI | google-cloud-resource-manager | 1.16.0 | indirect |
| PyPI | google-cloud-storage | 2.19.0 | indirect |
| PyPI | google-crc32c | 1.8.0 | indirect |
| PyPI | google-resumable-media | 2.8.0 | indirect |
| PyPI | googleapis-common-protos | 1.73.0 | indirect |
| PyPI | grpc-google-iam-v1 | 0.14.3 | indirect |
| PyPI | grpcio | 1.78.0 | indirect |
| PyPI | grpcio-status | 1.71.2 | indirect |
| PyPI | h11 | 0.16.0 | indirect |
| PyPI | h2 | 4.3.0 | indirect |
| PyPI | hf-xet | 1.4.2 | indirect |
| PyPI | hpack | 4.1.0 | indirect |
| PyPI | httpcore | 1.0.9 | indirect |
| PyPI | httptools | 0.7.1 | indirect |
| PyPI | httpx | 0.28.1 | indirect |
| PyPI | huggingface-hub | 1.7.1 | indirect |
| PyPI | hyperframe | 6.1.0 | indirect |
| PyPI | identify | 2.6.17 | indirect |
| PyPI | idna | 3.11 | indirect |
| PyPI | importlib-metadata | 8.5.0 | indirect |
| PyPI | iniconfig | 2.3.0 | indirect |
| PyPI | interegular | 0.3.3 | indirect |
| PyPI | invoke | 2.2.1 | indirect |
| PyPI | isort | 5.13.2 | indirect |
| PyPI | jaraco-classes | 3.4.0 | indirect |
| PyPI | jaraco-context | 6.1.1 | indirect |
| PyPI | jaraco-functools | 4.4.0 | indirect |
| PyPI | jeepney | 0.9.0 | indirect |
| PyPI | jinja2 | 3.1.6 | indirect |
| PyPI | jiter | 0.11.1 | indirect |
| PyPI | jsonschema | 4.23.0 | indirect |
| PyPI | jsonschema-specifications | 2025.9.1 | indirect |
| PyPI | keyring | 25.7.0 | indirect |
| PyPI | kiwisolver | 1.5.0 | indirect |
| PyPI | langchain | — | indirect |
| PyPI | langchain-experimental | — | indirect |
| PyPI | langchain-openai | — | indirect |
| PyPI | lark | 1.2.2 | indirect |
| PyPI | latex2sympy2 | 1.9.1 | indirect |
| PyPI | lm-format-enforcer | 0.10.12 | indirect |
| PyPI | markdown-it-py | 4.0.0 | indirect |
| PyPI | markupsafe | 3.0.3 | indirect |
| PyPI | mdurl | 0.1.2 | indirect |
| PyPI | mistral-common | 1.5.6 | indirect |
| PyPI | monotonic | 1.6 | indirect |
| PyPI | more-itertools | 10.8.0 | indirect |
| PyPI | mpmath | 1.3.0 | indirect |
| PyPI | msgpack | 1.1.2 | indirect |
| PyPI | msgspec | 0.20.0 | indirect |
| PyPI | multidict | 6.7.1 | indirect |
| PyPI | multiprocess | 0.70.16 | indirect |
| PyPI | networkx | 3.4.2 | indirect |
| PyPI | nh3 | 0.3.3 | indirect |
| PyPI | nodeenv | 1.10.0 | indirect |
| PyPI | numpy | — | indirect |
| PyPI | numpy | 1.26.4 | indirect |
| PyPI | nvidia-cublas-cu12 | 12.4.5.8 | indirect |
| PyPI | nvidia-cuda-cupti-cu12 | 12.4.127 | indirect |
| PyPI | nvidia-cuda-nvrtc-cu12 | 12.4.127 | indirect |
| PyPI | nvidia-cuda-runtime-cu12 | 12.4.127 | indirect |
| PyPI | nvidia-cudnn-cu12 | 9.1.0.70 | indirect |
| PyPI | nvidia-cufft-cu12 | 11.2.1.3 | indirect |
| PyPI | nvidia-curand-cu12 | 10.3.5.147 | indirect |
| PyPI | nvidia-cusolver-cu12 | 11.6.1.9 | indirect |
| PyPI | nvidia-cusparse-cu12 | 12.3.1.170 | indirect |
| PyPI | nvidia-ml-py | 13.590.48 | indirect |
| PyPI | nvidia-nccl-cu12 | 2.21.5 | indirect |
| PyPI | nvidia-nvjitlink-cu12 | 12.4.127 | indirect |
| PyPI | nvidia-nvtx-cu12 | 12.4.127 | indirect |
| PyPI | openai | 2.30.0 | indirect |
| PyPI | opencensus | 0.11.4 | indirect |
| PyPI | opencensus-context | 0.1.3 | indirect |
| PyPI | opencv-python-headless | 4.11.0.86 | indirect |
| PyPI | opentelemetry-api | 1.40.0 | indirect |
| PyPI | opentelemetry-exporter-otlp-proto-common | 1.40.0 | indirect |
| PyPI | opentelemetry-exporter-otlp-proto-http | 1.40.0 | indirect |
| PyPI | opentelemetry-exporter-prometheus | 0.61b0 | indirect |
| PyPI | opentelemetry-proto | 1.40.0 | indirect |
| PyPI | opentelemetry-sdk | 1.40.0 | indirect |
| PyPI | opentelemetry-semantic-conventions | 0.61b0 | indirect |
| PyPI | outlines | 0.1.11 | indirect |
| PyPI | outlines-core | 0.1.26 | indirect |
| PyPI | packaging | 26.0 | indirect |
| PyPI | partial-json-parser | 0.2.1.1.post7 | indirect |
| PyPI | pdfplumber | — | indirect |
| PyPI | pillow | 12.1.1 | indirect |
| PyPI | pkginfo | 1.10.0 | indirect |
| PyPI | platformdirs | 4.9.4 | indirect |
| PyPI | pluggy | 1.6.0 | indirect |
| PyPI | pre-commit | 4.5.1 | indirect |
| PyPI | prometheus-client | 0.24.1 | indirect |
| PyPI | prometheus-fastapi-instrumentator | 7.1.0 | indirect |
| PyPI | propcache | 0.4.1 | indirect |
| PyPI | proto-plus | 1.27.1 | indirect |
| PyPI | protobuf | 5.29.6 | indirect |
| PyPI | psutil | 6.1.1 | indirect |
| PyPI | py-cpuinfo | 9.0.0 | indirect |
| PyPI | py-spy | 0.4.1 | indirect |
| PyPI | pyarrow | 23.0.1 | indirect |
| PyPI | pyasn1 | 0.6.2 | indirect |
| PyPI | pyasn1-modules | 0.4.2 | indirect |
| PyPI | pycountry | 26.2.16 | indirect |
| PyPI | pycparser | 3.0 | indirect |
| PyPI | pydantic-core | 2.41.5 | indirect |
| PyPI | pygments | 2.19.2 | indirect |
| PyPI | pyparsing | 3.3.2 | indirect |
| PyPI | pytest | 8.4.2 | indirect |
| PyPI | pytest-asyncio | 0.24.0 | indirect |
| PyPI | pytest-cov | 6.3.0 | indirect |
| PyPI | pytest-dependency | 0.6.1 | indirect |
| PyPI | pytest-timeout | 2.4.0 | indirect |
| PyPI | python-dateutil | 2.9.0.post0 | indirect |
| PyPI | python-discovery | 1.1.3 | indirect |
| PyPI | python-dotenv | 1.0.1 | indirect |
| PyPI | pytz | 2026.1.post1 | indirect |
| PyPI | pywin32-ctypes | 0.2.3 | indirect |
| PyPI | pyyaml | 6.0.3 | indirect |
| PyPI | pyzmq | 27.1.0 | indirect |
| PyPI | ray | — | indirect |
| PyPI | ray | 2.54.0 | indirect |
| PyPI | readme-renderer | 44.0 | indirect |
| PyPI | referencing | 0.37.0 | indirect |
| PyPI | regex | 2026.2.28 | indirect |
| PyPI | requests | — | indirect |
| PyPI | requests | 2.32.5 | indirect |
| PyPI | requests-toolbelt | 1.0.0 | indirect |
| PyPI | rfc3986 | 2.0.0 | indirect |
| PyPI | rpds-py | 0.30.0 | indirect |
| PyPI | ruff | 0.8.6 | indirect |
| PyPI | safetensors | 0.7.0 | indirect |
| PyPI | scikit-learn | — | indirect |
| PyPI | scipy | 1.15.1 | indirect |
| PyPI | secretstorage | 3.5.0 | indirect |
| PyPI | sentence-transformers | — | indirect |
| PyPI | sentencepiece | 0.2.1 | indirect |
| PyPI | setuptools | 82.0.1 | indirect |
| PyPI | shapely | 2.1.2 | indirect |
| PyPI | shellingham | 1.5.4 | indirect |
| PyPI | six | 1.17.0 | indirect |
| PyPI | smart-open | 7.5.1 | indirect |
| PyPI | sniffio | 1.3.1 | indirect |
| PyPI | starlette | 0.52.1 | indirect |
| PyPI | sympy | 1.13.1 | indirect |
| PyPI | tenacity | 9.1.4 | indirect |
| PyPI | timeout-decorator | 0.5.0 | indirect |
| PyPI | tokenizers | 0.22.2 | indirect |
| PyPI | tomli | 2.4.0 | indirect |
| PyPI | torch | — | indirect |
| PyPI | torch | 2.5.1 | indirect |
| PyPI | torchvision | 0.20.1 | indirect |
| PyPI | transformers | — | indirect |
| PyPI | transformers | 5.3.0 | indirect |
| PyPI | triton | 3.1.0 | indirect |
| PyPI | twine | 5.1.1 | indirect |
| PyPI | typer | 0.26.7 | indirect |
| PyPI | typing-extensions | 4.15.0 | indirect |
| PyPI | typing-inspection | 0.4.2 | indirect |
| PyPI | tzdata | 2025.3 | indirect |
| PyPI | urllib3 | 1.26.20 | indirect |
| PyPI | uvicorn | 0.41.0 | indirect |
| PyPI | uvloop | 0.22.1 | indirect |
| PyPI | vcrpy | 7.0.0 | indirect |
| PyPI | virtualenv | 21.2.0 | indirect |
| PyPI | watchfiles | 1.1.1 | indirect |
| PyPI | websockets | 16.0 | indirect |
| PyPI | word2number | 1.1 | indirect |
| PyPI | wrapt | 2.1.2 | indirect |
| PyPI | xformers | 0.0.28.post3 | indirect |
| PyPI | xgrammar | 0.1.32 | indirect |
| PyPI | yarl | 1.23.0 | indirect |
| PyPI | zipp | 3.23.0 | indirect |
Dependency advisories 5
Installing pypi:bespokelabs-curator@0.1.29 pulls in 114 packages, direct and transitive: 5 carry known advisories, of which 1 are direct dependencies.
| Package | Version | Relation | Severity | Advisories | Fixed in |
|---|---|---|---|---|---|
| litellm | 1.83.7 | direct | critical | 12 | 1.84.0 |
| aiohttp | 3.13.5 | indirect | high | 22 | 3.14.1 |
| click | 8.1.8 | indirect | high | 1 | 8.3.3 |
| google-cloud-aiplatform | 1.71.1 | indirect | high | 2 | 1.133.0 |
| python-dotenv | 1.0.1 | indirect | moderate | 2 | 1.2.2 |
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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"headline": "Use bespokelabs-sandbox to run code in sandboxes (#716)",
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"headline": "Clean up dead code (#715)",
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"is_bot": false,
"headline": "chore: upgrade dependencies and add Tinker to What's New (#711)",
"author_name": "Mahesh Sathiamoorthy",
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"is_bot": false,
"headline": "chore: bump 0.1.27",
"author_name": "Maheswaran Sathiamoorthy",
"author_login": "madiator",
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},
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"body": "…ith curator (#710)\n\n* Code clean up\n\n* feat: add Tinker SDK integration for LoRA fine-tuning with checkpointing\n\nIntegrate the Tinker SDK to enable real LoRA fine-tuning via the Tinker\nAPI. When a TINKER_API_KEY is provided and the tinker package is installed,\ntraining runs against the Tinker servi\n[…]\nready logged by per-step logging, preventing duplicate entries\n\nCo-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "feat: Add support for Tinker for finetuning after data is generated w…",
"author_name": "Mahesh Sathiamoorthy",
"author_login": "madiator",
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"body_truncated": true,
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"body": null,
"is_bot": false,
"headline": "Code clean up (#708)",
"author_name": "Mahesh Sathiamoorthy",
"author_login": "madiator",
"committed_at": "2026-01-24T03:36:31Z",
"body_truncated": false,
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},
{
"oid": "43bd04115756c889f4222a655075d6bdcc700fe6",
"body": "* feat: add support for Claude 4.x and 3.7 models\n\nAdd multimodal and JSON format support for new Anthropic models:\n- Claude 4.5: sonnet, haiku, opus (claude-{model}-4-5-{date})\n- Claude 4.0/4.1: sonnet, opus (claude-{model}-4-{date})\n- Claude 3.7: sonnet (claude-3-7-sonnet-{date})\n\n🤖 Generated with\n[…]\nx variants)\n\n🤖 Generated with [Claude Code](https://claude.com/claude-code)\n\nCo-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "feat: add support for Claude 4.x and 3.7 models (#704)",
"author_name": "Mahesh Sathiamoorthy",
"author_login": "madiator",
"committed_at": "2026-01-24T03:35:12Z",
"body_truncated": true,
"is_coding_agent": true
},
{
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"body": null,
"is_bot": false,
"headline": "Update README.md (#707)",
"author_name": "Mahesh Sathiamoorthy",
"author_login": "madiator",
"committed_at": "2026-01-22T00:29:51Z",
"body_truncated": false,
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},
{
"oid": "70dbf3ea9dce241ebf43bc81158c5094d5076231",
"body": null,
"is_bot": false,
"headline": "Fixed LiteLLM multi-hosted_vllm request address mixture. (#701)",
"author_name": "Mehmet Yigit Turali",
"author_login": "YigitTurali",
"committed_at": "2026-01-05T07:25:28Z",
"body_truncated": false,
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},
{
"oid": "4b41961db08c0c0beebeb4fa7b15cc6d032cf99d",
"body": null,
"is_bot": false,
"headline": "fix broken tests (#706)",
"author_name": "Mahesh Sathiamoorthy",
"author_login": "madiator",
"committed_at": "2025-12-30T18:46:53Z",
"body_truncated": false,
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},
{
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"body": null,
"is_bot": false,
"headline": "ref: add version tag in lib (#696)",
"author_name": "The Dude",
"author_login": "kartik4949",
"committed_at": "2025-07-10T13:56:43Z",
"body_truncated": false,
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},
{
"oid": "8389f4c6ee2150f845c27211505356a5ad474a2e",
"body": "* feat: auto batch mode\n\n* update test\n\n* fix test\n\n* ref: update auto batch size algorithm\n\n* ref: update algorihtm",
"is_bot": false,
"headline": "feat: auto batch mode (#691)",
"author_name": "The Dude",
"author_login": "kartik4949",
"committed_at": "2025-06-25T18:50:17Z",
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},
{
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"body": "Signed-off-by: Emmanuel Ferdman <emmanuelferdman@gmail.com>",
"is_bot": false,
"headline": "fix: resolve Pydantic issues (#689)",
"author_name": "Emmanuel Ferdman",
"author_login": "emmanuel-ferdman",
"committed_at": "2025-06-13T11:15:19Z",
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"headline": "chore: bump 0.1.26 (#686)",
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},
{
"oid": "bf559d8d368f35aaf68da4a485b485211c0623d2",
"body": "* ref: refactor agent\n\n* fix: agent resume with stopping criterion\n\n* update\n\n* update",
"is_bot": false,
"headline": "Ref agent multiturn minor (#685)",
"author_name": "The Dude",
"author_login": "kartik4949",
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"author_name": "The Dude",
"author_login": "kartik4949",
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]
},
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],
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{
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}
],
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{
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{
"code": "forks",
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}
],
"max_points": 25
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{
"key": "watchers",
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]
},
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"note": null,
"notes": [],
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"inputs": {
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},
"components": [
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"status": "met",
"details": [],
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},
{
"key": "license",
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"details": [
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"code": "license_standard",
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},
{
"code": "license_spdx",
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"key": "code_of_conduct",
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{
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],
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"inputs": {
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"total_downloads": null,
"monthly_downloads": 25080
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"components": [
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"points": 58.7,
"status": "partial",
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{
"code": "downloads_monthly",
"params": {
"count": 25080,
"ecosystems": "pypi"
}
}
],
"max_points": 80
},
{
"key": "registry_dependents",
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"points": 0,
"status": "excluded",
"details": [
{
"code": "not_reported_by_this_ecosystem",
"params": {}
}
],
"max_points": 20
}
]
}
],
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},
{
"key": "governance",
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"name": "Sustainability & Governance",
"value": 78,
"weight": 0.24,
"metrics": [
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"key": "maintainer_resilience",
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"note": null,
"notes": [],
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"top_contributor_share": 0.235
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"components": [
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"points": 36,
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"code": "bus_factor",
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}
],
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{
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"code": "top_contributor_share",
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}
],
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{
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}
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{
"key": "openssf_scorecard_contributors",
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"points": 0,
"status": "excluded",
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"code": "no_data",
"params": {}
}
],
"max_points": 10
}
]
},
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"notes": [],
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"issue_closed_ratio": 0.789,
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}
],
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{
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}
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"max_points": 38.25
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{
"key": "openssf_scorecard_code_review",
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],
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]
},
{
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"inputs": {
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"components": [
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}
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{
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"login": "bespokelabsai"
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],
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{
"key": "track_record",
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"points": 13.7,
"status": "partial",
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"code": "public_repos",
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},
{
"code": "account_age_years",
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}
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]
},
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"key": "package_maintenance",
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"notes": [],
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}
],
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}
],
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},
{
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"weight": 0.2,
"metrics": [
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"notes": [],
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"inputs": {
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"has_tests": true,
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"details": [
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"code": "ci_workflows",
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}
],
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{
"key": "tests_present",
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},
{
"key": "linter_config",
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"max_points": 16
},
{
"key": "pre_commit_hooks",
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},
{
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"status": "missed",
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{
"key": "openssf_scorecard_ci_tests",
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"points": 0,
"status": "excluded",
"details": [
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"code": "no_data",
"params": {}
}
],
"max_points": 20
}
]
},
{
"key": "documentation",
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"name": "Documentation",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"topics": [
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"llm",
"prompt",
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"synthetic-dataset-generation",
"deep-learning",
"fine-tuning",
"instruction-tuning",
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"has_docs_dir": true,
"has_description": true
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"components": [
{
"key": "readme",
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},
{
"key": "documentation_directory",
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{
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{
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"points": 10,
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"details": [],
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},
{
"key": "topics",
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"code": "topics_count",
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}
],
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}
]
}
],
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{
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"weight": 0.16,
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"name": "Security posture",
"note": "Excluded from scoring (no data or not applicable): Dependency lockfiles. Remaining weights renormalized.",
"notes": [
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"code": "excluded_no_data",
"params": {
"components": [
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}
},
{
"code": "weights_renormalized",
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}
],
"value": 1,
"inputs": {
"source": "file_signals",
"lockfiles": [
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"manifests": [
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"components": [
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"detail": null,
"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "dependabot_config",
"name": "Dependabot config",
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"points": 0,
"status": "missed",
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},
{
"key": "dependency_lockfiles",
"name": "Dependency lockfiles",
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"points": 0,
"status": "excluded",
"details": [
{
"code": "lockfiles_not_expected",
"params": {}
}
],
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},
{
"key": "codeql_workflow",
"name": "CodeQL workflow",
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"points": 0,
"status": "missed",
"details": [],
"max_points": 20
}
]
},
{
"key": "dependency_advisories",
"band": "at_risk",
"name": "Dependency advisories",
"note": "Matched the pypi:bespokelabs-curator@0.1.29 runtime dependency closure — what installing the published package pulls in — 114 packages. Reachability is not analyzed.",
"notes": [
{
"code": "advisories_scope_published",
"params": {
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}
},
{
"code": "advisories_reachability",
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}
],
"value": 44,
"inputs": {
"source": "osv",
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"affected_packages": 5,
"assessed_packages": 114,
"unassessed_packages": 0,
"affected_by_severity": "critical 1, high 3, moderate 1",
"direct_affected_packages": 1
},
"components": [
{
"key": "direct_dependencies_free_of_known_advisories",
"name": "Direct dependencies free of known advisories",
"detail": "1 affected: litellm 1.83.7 (critical 9.8)",
"points": 7.6,
"status": "partial",
"details": [
{
"code": "advisories_affected",
"params": {
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"packages": "litellm 1.83.7 (critical 9.8)"
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}
],
"max_points": 35
},
{
"key": "indirect_dependencies_free_of_known_advisories",
"name": "Indirect dependencies free of known advisories",
"detail": "4 affected: aiohttp 3.13.5 (high 7.5), click 8.1.8 (high 7.2), google-cloud-aiplatform 1.71.1 (high), +1 more",
"points": 6.6,
"status": "partial",
"details": [
{
"code": "advisories_affected",
"params": {
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"packages": "aiohttp 3.13.5 (high 7.5), click 8.1.8 (high 7.2), google-cloud-aiplatform 1.71.1 (high)"
}
},
{
"code": "advisories_affected_more",
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}
}
],
"max_points": 25
},
{
"key": "no_advisories_left_outstanding",
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"points": 29.9,
"status": "partial",
"details": [
{
"code": "advisories_stale",
"params": {
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"count": 2,
"oldest": 156
}
}
],
"max_points": 40
}
]
},
{
"key": "malicious_dependencies",
"band": "excellent",
"name": "Malicious dependencies",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"source": "osv",
"meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
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"red_flag": false,
"assessed_packages": 114,
"malicious_packages": 0,
"direct_malicious_packages": 0,
"withdrawn_malicious_packages": 0,
"installable_malicious_packages": 0
},
"components": [
{
"key": "no_dependency_reported_as_a_malicious_package",
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"detail": "no dependency is reported as a malicious package",
"points": 100,
"status": "met",
"details": [
{
"code": "no_malicious_dependencies",
"params": {}
}
],
"max_points": 100
}
]
},
{
"key": "high_risk_jurisdiction_exposure",
"band": "excellent",
"name": "High-Risk Jurisdiction Exposure",
"note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
"notes": [
{
"code": "jurisdiction_evidence_limits",
"params": {}
}
],
"value": 100,
"inputs": {
"meaning": "self-published location evidence; not nationality or citizenship",
"red_flag": false,
"exposures": [],
"policy_countries": [
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"Iran",
"North Korea"
],
"review_only_matches": 0,
"assessed_self_published_locations": 8
},
"components": [
{
"key": "policy_exposure_multiplier",
"name": "Policy exposure multiplier",
"detail": "no confirmed policy-scope location match",
"points": 100,
"status": "met",
"details": [
{
"code": "jurisdiction_no_match",
"params": {}
}
],
"max_points": 100
}
]
}
],
"description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
},
{
"key": "ai_readiness",
"band": "moderate",
"name": "AI Readiness",
"value": 58,
"weight": 0,
"metrics": [
{
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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": [
"Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
"OpenSSF Scorecard did not return a usable result (exit code -9); skipping Scorecard checks"
],
"report_type": "repository",
"generated_at": "2026-07-27T08:56:25.673742Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/b/bespokelabsai/curator.svg",
"full_name": "bespokelabsai/curator",
"license_state": "standard",
"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 v0.27.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics — PyPI.