Public recordModerate
Software health reportschema 0.27.0 · metrics 1.13.0 · 2026-07-24 01:51 UTC
BulletTrade / bullet-trade
全流程交易系统，兼容聚宽代码。
BulletTrade/bullet-trade holds a health index of 59 out of 100, placing it in the Moderate band. It scores highest on Vitality (85/100) and lowest on AI Readiness (31/100). It was last updated 1 day ago. A single contributor accounts for most of its recent work.
59
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.
59
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
BulletTradePersonal account
10 followers2 public repossince Oct 2025
This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.
Package ecosystems
| Registry | Package | Version | Downloads / mo | Versions | Last publish | Tags |
|---|---|---|---|---|---|---|
| PyPI | bullet-trade | 0.9.2 | 1,340 | 30 | 17 days ago | quantitative-tradingbacktestjoinquantalgotradingstock-tradinglive-trading |
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
85
Development activity
83Good
How it's scored
| 36/36 | Push recency — last push 1 days ago |
| 18.7/36 | Commit cadence — 27/52 weeks with commits |
| 18/18 | Commit volume — 176 commits in the last year |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10 |
Inputs used
| commits_last_year | 176 |
| human_commit_share | 1 |
| days_since_last_push | 1 |
| active_weeks_last_year | 27 |
Release discipline
88Excellent
How it's scored
| 16.2/27 | Ships releases — 30 version tags (no GitHub releases) |
| 36/36 | Release recency — latest release 17 days ago |
| 27/27 | Release cadence — a release every ~8.4 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — no data |
Inputs used
| releases_count | 30 |
| latest_release_tag | v0.9.2 |
| releases_from_tags | yes |
| days_since_latest_release | 17 |
| mean_days_between_releases | 8.4 |
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?
61
Popularity & adoption
59Moderate
How it's scored
| 38.5/60 | Stars — 236 stars |
| 16.6/25 | Forks — 99 forks |
| 3.9/15 | Watchers — 6 watchers |
Inputs used
| forks | 99 |
| stars | 236 |
| watchers | 6 |
| 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 (MIT) |
| 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 |
Ecosystem adoption (downloads)
52Moderate
How it's scored
| 41.7/80 | Monthly downloads — 1,340 downloads/month across pypi |
| 0/20 | Registry dependents — not reported by this ecosystem |
Inputs used
| packages | bullet-trade |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 1,340 |
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?
50
Maintainer resilience (bus factor)
24Critical
How it's scored
| 9/54 | Bus factor — 1 contributor(s) cover half of all commits |
| 6.9/22.5 | Commit distribution — top contributor authored 69% of commits |
| 8.1/13.5 | Contributor breadth — 6 contributors |
| 0/10 | OpenSSF Scorecard: Contributors — project has 0 contributing companies or organizations -- score normalized to 0 |
Inputs used
| bus_factor | 1 |
| contributors_sampled | 6 |
| top_contributor_share | 0.693 |
Issue & PR responsiveness
63Moderate
How it's scored
| 40.9/46.8 | Issue resolution — 88% of issues closed |
| 22.3/38.3 | PR acceptance — 7/12 decided PRs merged |
| 0/15 | OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0 |
Inputs used
| merged_prs | 7 |
| open_issues | 3 |
| closed_issues | 21 |
| issue_closed_ratio | 0.875 |
| closed_unmerged_prs | 5 |
Ownership & stewardship
28Critical
How it's scored
| 10/30 | Ownership backing — personal (user) account |
| 0/20 | Verified domain — not applicable to user accounts |
| 7.5/25 | Owner reach — 10 followers of BulletTrade |
| 5/25 | Track record — 2 public repos, account ~0 yr old |
Inputs used
| followers | 10 |
| owner_type | User |
| is_verified | — |
| owner_login | BulletTrade |
| public_repos | 2 |
| account_age_days | 273 |
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.
Package maintenance
100Excellent
How it's scored
| 25/25 | Published & resolvable — 1 package(s) on pypi |
| 35/35 | Publish recency — latest publish 17 days ago |
| 20/20 | Version history — 30 published versions |
| 20/20 | Not deprecated — active, not deprecated or yanked |
Inputs used
| packages | bullet-trade |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 17 |
Engineering Quality
Are baseline engineering and documentation practices in place?
50
Engineering practices
30At 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 |
| 0/20 | OpenSSF Scorecard: CI-Tests — no data |
Inputs used
| has_ci | no |
| has_tests | yes |
| has_editorconfig | no |
| has_linter_config | no |
| has_precommit_config | no |
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.
Documentation
80Good
How it's scored
| 30/30 | README |
| 25/25 | Documentation directory |
| 15/15 | Documentation / homepage site — https://www.bullettrade.cn |
| 10/10 | Repository description |
| 0/10 | Topics |
| 0/10 | Wiki |
Inputs used
| topics | — |
| has_wiki | no |
| homepage | https://www.bullettrade.cn |
| 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?
45
Security posture
36At 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 |
| 0/2.5 | CI-Tests — no data |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 0/7.5 | Code-Review — Found 0/30 approved changesets -- score normalized to 0 |
| 0/2.5 | Contributors — project has 0 contributing companies or organizations -- score normalized to 0 |
| 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 |
| 7.5/7.5 | Maintained — 30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10 |
| 0/5 | Packaging — no data |
| 0/5 | Pinned-Dependencies — no data |
| 0/5 | SAST — no SAST tool detected |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — no data |
| 0/7.5 | Token-Permissions — no data |
| 6.8/7.5 | Vulnerabilities — 1 existing vulnerabilities detected |
Inputs used
| source | openssf_scorecard |
| checks_evaluated | 12 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 6 |
| scorecard_aggregate | 3.6 |
Excluded from scoring (no data or not applicable): ci_tests, dangerous_workflow, packaging, pinned_dependencies, signed_releases, token_permissions. Remaining weights renormalized.
Dependency advisories
79Good
How it's scored
| 13.7/35 | Direct dependencies free of known advisories — 1 affected: jupyterlab 4.6.1 (high 7.6) |
| 25/25 | Indirect dependencies free of known advisories — no indirect dependency carries a known advisory |
| 40/40 | No advisories left outstanding — no advisory has been public longer than 90 days |
Inputs used
| source | osv |
| advisories | 5 |
| affected_packages | 1 |
| assessed_packages | 116 |
| unassessed_packages | 0 |
| affected_by_severity | high 1 |
| direct_affected_packages | 1 |
Matched the pypi:bullet-trade@0.9.2 runtime dependency closure — what installing the published package pulls in — 116 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.
31
Agent context & guidance
24Critical
How it's scored
| 0/45 | Agent instructions — no CLAUDE.md / AGENTS.md / editor rules |
| 0/15 | Machine-readable docs (llms.txt) |
| 24/40 | Legible commit history — 45 of 100 human commits state their intent (structured subject or explanatory body) |
Inputs used
| has_llms_txt | no |
| legible_history_share | 0.45 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Verify loop (build / test / typecheck)
24Critical
How it's scored
| 0/18 | One-command bootstrap |
| 22/22 | Automated tests |
| 0/11 | Lint / format config |
| 0/11 | Static type checking |
| 0/10 | Reproducible environment |
| 0/10 | Demonstrated agent practice — no agent-authored commits among the last 100 |
| 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 | — |
| has_dockerfile | no |
| typed_language | no |
| bootstrap_files | — |
| has_devcontainer | no |
| has_linter_config | no |
| typecheck_configs | — |
| agent_commit_share | 0 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Pinned-Dependencies. Remaining weights renormalized.
Code legibility for models
52Moderate
How it's scored
| 0/45 | Type-checkable code — Python without a type-check config |
| 52.5/55 | Manageable file sizes — 9/198 source files over 60KB |
Inputs used
| primary_language | Python |
| largest_source_bytes | 127,729 |
| source_files_sampled | 198 |
| oversized_source_files | 9 |
Machine-readable interfaces
40At risk
How it's scored
| 0/40 | API schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP server |
| 40/40 | Runnable examples — notebooks |
Inputs used
| example_dirs | notebooks |
| has_mcp_signal | no |
| api_schema_files | — |
Key facts
236GitHub stars
6contributors
176commits, last 12 months
1days since last push
30releases
1bus factor
3open issues
PyPIpackage ecosystems
Data collection warnings
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
- GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
More detail
Star and fork history 0 ★ / 99 ⇿
0Stars
99Forks
24Releases
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 4Patch 20
OpenSSF Scorecard 3.6 / 10
3.6aggregate
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 |
| n/a | CI-Tests | no pull request found |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 0 | Code-Review | Found 0/30 approved changesets -- score normalized to 0 |
| 0 | Contributors | project has 0 contributing companies or organizations -- score normalized to 0 |
| 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 |
| 10 | Maintained | 30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10 |
| n/a | Packaging | packaging workflow not detected |
| n/a | Pinned-Dependencies | no dependencies found |
| 0 | SAST | no SAST tool detected |
| 0 | Security-Policy | security policy file not detected |
| n/a | Signed-Releases | no releases found |
| n/a | Token-Permissions | No tokens found |
| 9 | Vulnerabilities | 1 existing vulnerabilities detected |
Direct dependencies 11
| Registry | Package | Version constraint | Manifest |
|---|---|---|---|
| PyPI | pandas | >=1.3.0,<3.0 | pyproject.toml |
| PyPI | numpy | >=1.21.0 | pyproject.toml |
| PyPI | matplotlib | >=3.4.0 | pyproject.toml |
| PyPI | jqdatasdk | >=1.8.0 | pyproject.toml |
| PyPI | plotly | >=5.15.0 | pyproject.toml |
| PyPI | python-dotenv | >=0.19.0 | pyproject.toml |
| PyPI | filelock | >=3.0.0 | pyproject.toml |
| PyPI | pyecharts | >=1.9.0 | pyproject.toml |
| PyPI | tabulate | >=0.9.0 | pyproject.toml |
| PyPI | jupyterlab | >=4.1.0 | pyproject.toml |
| PyPI | ipykernel | >=6.29.0 | pyproject.toml |
All dependencies not collected
The resolved dependency set could not be collected for this report: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
Dependency advisories 1
Installing pypi:bullet-trade@0.9.2 pulls in 116 packages, direct and transitive: 1 carry known advisories, of which 1 are direct dependencies.
| Package | Version | Relation | Severity | Advisories | Fixed in |
|---|---|---|---|---|---|
| jupyterlab | 4.6.1 | direct | high | 5 | 4.6.2 |
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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{
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"is_bot": false,
"headline": "fix(live): guard live startup with locks and correct bool parsing",
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"headline": "feat(live_engine): enhance TradingCalendarGuard with detailed logging…",
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"headline": "feat(order): get_orders 支持 from_broker 全量券商查询并透传远程 helper (#25)",
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"headline": "test(server/qmt): 增加 get_history fields 透传单测，防止回归 (#24)",
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"committed_at": "2026-02-09T03:02:17Z",
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"headline": "feat(server/qmt): get_history 支持 fields 参数透传，修复远程字段筛选问题 (#24)",
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"headline": "feat(live_engine): 添加日历重试等待逻辑，确保非交易日时正确处理",
"author_name": "BulletTrade",
"author_login": "BulletTrade",
"committed_at": "2026-02-09T02:42:59Z",
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"headline": "v0.6.4",
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"oid": "d4e6bdbf4ead331cba2f4bdf5bf2bcf96b6c0f51",
"body": "…_date 参数支持 datetime 对象类型。与父类 get_price 方法保持一致。 (#23)",
"is_bot": false,
"headline": "feat(data/providers): get_price 方法的 start_date/end_date/prefactor_ref…",
"author_name": "Simon Zhou",
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"body": "- Added optional `remark` parameter to order methods across brokers to support order remarks.\n- Introduced `strategy_name` configuration for better identification of strategies in live trading.\n- Updated order metadata preparation to include remarks and strategy names, improving traceability.\n- Enhanced documentation to reflect new configuration options and order remark handling.\n\nThis update improves the clarity and management of orders, especially in multi-strategy environments.",
"is_bot": false,
"headline": "Enhance order handling and metadata management",
"author_name": "BulletTrade",
"author_login": "BulletTrade",
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"oid": "2b1ca80ebda7293174aa3230e570bcf25cfa2c1b",
"body": "周/月任务重启重复：实盘重启后沿用策略起始日计算周/月序号，避免 force=True 因重启重复触发\n旧运行态兼容：缺失起始日字段时自动补写，不影响历史 runtime 加载\nbugfix #22",
"is_bot": false,
"headline": "v0.6.3",
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"committed_at": "2026-01-25T15:21:29Z",
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"body": " # 修复实盘交易日判定对 list 返回的兼容，避免节假日/盘前误判\n # 交易日历缺当天时周/月任务不触发，避免 force=True 连续触发\n # 实盘强制关闭数据源磁盘缓存，覆盖 get_data_provider/set_data_provider/reload\n # CALENDAR_RETRY_MINUTES 默认改为 1 分钟并确保 .env 生效\n # 补充交易日守卫与日历缺当天的测试用例",
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"headline": " v0.6.1 fixed(#22)",
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"headline": "Fix cache key for security list (#21)",
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"headline": "Merge branch 'main' of github.com:BulletTrade/bullet-trade",
"author_name": "BulletTrade",
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"headline": "Merge branch 'dev'",
"author_name": "BulletTrade",
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"body": "…tion\n\n- Introduced a new `_call_provider_get_price` function to streamline price retrieval, ensuring compatibility with varying provider signatures.\n- Updated existing calls to `get_price` across the codebase to utilize the new wrapper function, improving error handling and parameter filtering.\n- Added a `_serialize_options` method in `LiveEngine` to normalize option values, enhancing data consistency during snapshot creation.",
"is_bot": false,
"headline": "Refactor price retrieval logic to enhance compatibility and serializa…",
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"body": "- Refactored the `get_price` function to improve handling of price data, ensuring compatibility with various data formats.\n- Introduced a new `_raise_if_empty_minute_data` function to log errors and raise exceptions when minute data is empty, enhancing error management during data retrieval.\n- Updated the logic to ensure that fallback mechanisms are in place when price data is not available, improving robustness in trading strategies.",
"is_bot": false,
"headline": "Enhance price retrieval logic and introduce empty data handling",
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"body": "Enhance MiniQMTProvider and add tests for index stock retrieval\n\n- Updated the `get_index_stocks` method in `MiniQMTProvider` to handle historical date requests by logging a warning and returning the latest index stocks.\n- Improved data retrieval logic to accommodate various data formats when fetchi\n[…]\nensuring correct behavior when handling historical dates and verifying data retrieval.\n- Introduced a new demo script to avoid future data issues by using previous minute prices in trading strategies.",
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"headline": "Fixed: (#13)",
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"body": "- Introduced a wrapper function `api_get_price` to capture `FutureDataError` and log warnings when future data is intercepted, improving error handling during price retrieval.\n- Updated the `_should_avoid_future` function to clarify the conditions under which future data is restricted, ensuring better context management in backtesting scenarios.",
"is_bot": false,
"headline": "Enhance price retrieval and future data handling in engine",
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"body": "…ference handling and logging\n\n- Updated the `MiniQMTProvider` to enhance reference date handling, allowing for fallback to the latest available prices if the reference date is not found in the dataframes.\n- Introduced a new logging function in the current data limit probe to log raw and pre-close prices, providing better visibility into price retrieval processes.\n- Added a debug flag for raw price logging, improving the ability to trace and diagnose issues during execution.",
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"headline": "Enhance MiniQMTProvider and current data limit probe with improved re…",
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"body": "…aseline comparisons\n\n- Added environment variable configurations for `USE_REAL_PRICE`, `FORCE_NO_ENGINE`, `AVOID_FUTURE_DATA`, and `DEBUG_META` to control behavior during execution.\n- Implemented baseline data for price checks in the current data limit probe, allowing for comparison against expecte\n[…]\ntion about metadata and discrepancies during price checks.\n- Updated the initialization process to incorporate new configuration options, improving flexibility and usability in different environments.",
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"headline": "Enhance current data limit probe with environment configuration and b…",
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"body": "…k logic\n\n- Introduced a new section in `security_overrides.json` for limit rules, defining default and category-specific ratios for price limits.\n- Implemented `_resolve_limit_rule` and `_resolve_limit_ratio` functions in `api.py` to handle limit rule resolution based on security attributes.\n- Enha\n[…]\nand low limits during data processing.\n- Updated `BacktestCurrentData` and `LiveCurrentData` classes to incorporate the new limit fallback logic, ensuring accurate limit handling in various scenarios.",
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"metrics": [
{
"key": "popularity",
"band": "moderate",
"name": "Popularity & adoption",
"note": null,
"notes": [],
"value": 59,
"inputs": {
"forks": 99,
"stars": 236,
"watchers": 6,
"growth_state": "unverified",
"growth_factor_pct": 100,
"growth_unverified_reason": "no_history"
},
"components": [
{
"key": "stars",
"name": "Stars",
"detail": "236 stars",
"points": 38.5,
"status": "partial",
"details": [
{
"code": "stars",
"params": {
"count": 236
}
}
],
"max_points": 60
},
{
"key": "forks",
"name": "Forks",
"detail": "99 forks",
"points": 16.6,
"status": "partial",
"details": [
{
"code": "forks",
"params": {
"count": 99
}
}
],
"max_points": 25
},
{
"key": "watchers",
"name": "Watchers",
"detail": "6 watchers",
"points": 3.9,
"status": "partial",
"details": [
{
"code": "watchers",
"params": {
"count": 6
}
}
],
"max_points": 15
}
]
},
{
"key": "community_health",
"band": "good",
"name": "Community health",
"note": null,
"notes": [],
"value": 70,
"inputs": {
"has_readme": true,
"has_license": true,
"has_contributing": true,
"has_issue_template": false,
"has_code_of_conduct": false,
"has_pull_request_template": false
},
"components": [
{
"key": "readme",
"name": "README",
"detail": null,
"points": 22.5,
"status": "met",
"details": [],
"max_points": 22.5
},
{
"key": "license",
"name": "License",
"detail": "recognized license (MIT)",
"points": 22.5,
"status": "met",
"details": [
{
"code": "license_standard",
"params": {}
},
{
"code": "license_spdx",
"params": {
"spdx": "MIT"
}
}
],
"max_points": 22.5
},
{
"key": "contributing_guide",
"name": "CONTRIBUTING guide",
"detail": null,
"points": 18,
"status": "met",
"details": [],
"max_points": 18
},
{
"key": "code_of_conduct",
"name": "Code of conduct",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 13.5
},
{
"key": "issue_template",
"name": "Issue template",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.2
},
{
"key": "pr_template",
"name": "PR template",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 6.3
}
]
},
{
"key": "ecosystem_adoption",
"band": "moderate",
"name": "Ecosystem adoption (downloads)",
"note": "Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"registry_dependents"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 52,
"inputs": {
"packages": [
"bullet-trade"
],
"dependents": null,
"ecosystems": "pypi",
"total_downloads": null,
"monthly_downloads": 1340
},
"components": [
{
"key": "monthly_downloads",
"name": "Monthly downloads",
"detail": "1,340 downloads/month across pypi",
"points": 41.7,
"status": "partial",
"details": [
{
"code": "downloads_monthly",
"params": {
"count": 1340,
"ecosystems": "pypi"
}
}
],
"max_points": 80
},
{
"key": "registry_dependents",
"name": "Registry dependents",
"detail": "not reported by this ecosystem",
"points": 0,
"status": "excluded",
"details": [
{
"code": "not_reported_by_this_ecosystem",
"params": {}
}
],
"max_points": 20
}
]
}
],
"description": "Does the project have users, downloads, attention, and a welcoming setup for contributors?"
},
{
"key": "governance",
"band": "moderate",
"name": "Sustainability & Governance",
"value": 50,
"weight": 0.24,
"metrics": [
{
"key": "maintainer_resilience",
"band": "critical",
"name": "Maintainer resilience (bus factor)",
"note": null,
"notes": [],
"value": 24,
"inputs": {
"bus_factor": 1,
"contributors_sampled": 6,
"top_contributor_share": 0.693
},
"components": [
{
"key": "bus_factor",
"name": "Bus factor",
"detail": "1 contributor(s) cover half of all commits",
"points": 9,
"status": "partial",
"details": [
{
"code": "bus_factor",
"params": {
"count": 1
}
}
],
"max_points": 54
},
{
"key": "commit_distribution",
"name": "Commit distribution",
"detail": "top contributor authored 69% of commits",
"points": 6.9,
"status": "partial",
"details": [
{
"code": "top_contributor_share",
"params": {
"share": 69
}
}
],
"max_points": 22.5
},
{
"key": "contributor_breadth",
"name": "Contributor breadth",
"detail": "6 contributors",
"points": 8.1,
"status": "partial",
"details": [
{
"code": "contributors_sampled",
"params": {
"count": 6
}
}
],
"max_points": 13.5
},
{
"key": "openssf_scorecard_contributors",
"name": "OpenSSF Scorecard: Contributors",
"detail": "project has 0 contributing companies or organizations -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
}
]
},
{
"key": "responsiveness",
"band": "moderate",
"name": "Issue & PR responsiveness",
"note": null,
"notes": [],
"value": 63,
"inputs": {
"merged_prs": 7,
"open_issues": 3,
"closed_issues": 21,
"issue_closed_ratio": 0.875,
"closed_unmerged_prs": 5
},
"components": [
{
"key": "issue_resolution",
"name": "Issue resolution",
"detail": "88% of issues closed",
"points": 40.9,
"status": "partial",
"details": [
{
"code": "issues_closed_share",
"params": {
"share": 88
}
}
],
"max_points": 46.75
},
{
"key": "pr_acceptance",
"name": "PR acceptance",
"detail": "7/12 decided PRs merged",
"points": 22.3,
"status": "partial",
"details": [
{
"code": "decided_prs_merged",
"params": {
"merged": 7,
"decided": 12
}
}
],
"max_points": 38.25
},
{
"key": "openssf_scorecard_code_review",
"name": "OpenSSF Scorecard: Code-Review",
"detail": "Found 0/30 approved changesets -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 15
}
]
},
{
"key": "stewardship",
"band": "critical",
"name": "Ownership & stewardship",
"note": "Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"verified_domain"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 28,
"inputs": {
"followers": 10,
"owner_type": "User",
"is_verified": null,
"owner_login": "BulletTrade",
"public_repos": 2,
"account_age_days": 273
},
"components": [
{
"key": "ownership_backing",
"name": "Ownership backing",
"detail": "personal (user) account",
"points": 10,
"status": "partial",
"details": [
{
"code": "owner_personal",
"params": {}
}
],
"max_points": 30
},
{
"key": "verified_domain",
"name": "Verified domain",
"detail": "not applicable to user accounts",
"points": 0,
"status": "excluded",
"details": [
{
"code": "not_applicable_to_user_accounts",
"params": {}
}
],
"max_points": 20
},
{
"key": "owner_reach",
"name": "Owner reach",
"detail": "10 followers of BulletTrade",
"points": 7.5,
"status": "partial",
"details": [
{
"code": "owner_followers",
"params": {
"count": 10,
"login": "BulletTrade"
}
}
],
"max_points": 25
},
{
"key": "track_record",
"name": "Track record",
"detail": "2 public repos, account ~0 yr old",
"points": 5,
"status": "partial",
"details": [
{
"code": "public_repos",
"params": {
"count": 2
}
},
{
"code": "account_age_years",
"params": {
"years": 0
}
}
],
"max_points": 25
}
]
},
{
"key": "package_maintenance",
"band": "excellent",
"name": "Package maintenance",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"packages": [
"bullet-trade"
],
"ecosystems": "pypi",
"any_deprecated": false,
"min_days_since_publish": 17
},
"components": [
{
"key": "published_resolvable",
"name": "Published & resolvable",
"detail": "1 package(s) on pypi",
"points": 25,
"status": "met",
"details": [
{
"code": "packages_published",
"params": {
"count": 1,
"ecosystems": "pypi"
}
}
],
"max_points": 25
},
{
"key": "publish_recency",
"name": "Publish recency",
"detail": "latest publish 17 days ago",
"points": 35,
"status": "met",
"details": [
{
"code": "publish_recency",
"params": {
"days": 17
}
}
],
"max_points": 35
},
{
"key": "version_history",
"name": "Version history",
"detail": "30 published versions",
"points": 20,
"status": "met",
"details": [
{
"code": "published_versions",
"params": {
"count": 30
}
}
],
"max_points": 20
},
{
"key": "not_deprecated",
"name": "Not deprecated",
"detail": "active, not deprecated or yanked",
"points": 20,
"status": "met",
"details": [
{
"code": "package_not_deprecated",
"params": {}
}
],
"max_points": 20
}
]
}
],
"description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
},
{
"key": "engineering",
"band": "moderate",
"name": "Engineering Quality",
"value": 50,
"weight": 0.2,
"metrics": [
{
"key": "engineering_practices",
"band": "at_risk",
"name": "Engineering practices",
"note": "Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"openssf_scorecard_ci_tests"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 30,
"inputs": {
"has_ci": false,
"has_tests": true,
"has_editorconfig": false,
"has_linter_config": false,
"has_precommit_config": false
},
"components": [
{
"key": "ci_workflows",
"name": "CI workflows",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 24
},
{
"key": "tests_present",
"name": "Tests present",
"detail": null,
"points": 24,
"status": "met",
"details": [],
"max_points": 24
},
{
"key": "linter_config",
"name": "Linter config",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 16
},
{
"key": "pre_commit_hooks",
"name": "Pre-commit hooks",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 9.6
},
{
"key": "editorconfig",
"name": ".editorconfig",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 6.4
},
{
"key": "openssf_scorecard_ci_tests",
"name": "OpenSSF Scorecard: CI-Tests",
"detail": "no pull request found",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 20
}
]
},
{
"key": "documentation",
"band": "good",
"name": "Documentation",
"note": null,
"notes": [],
"value": 80,
"inputs": {
"topics": [],
"has_wiki": false,
"homepage": "https://www.bullettrade.cn",
"has_readme": true,
"has_docs_dir": true,
"has_description": true
},
"components": [
{
"key": "readme",
"name": "README",
"detail": null,
"points": 30,
"status": "met",
"details": [],
"max_points": 30
},
{
"key": "documentation_directory",
"name": "Documentation directory",
"detail": null,
"points": 25,
"status": "met",
"details": [],
"max_points": 25
},
{
"key": "documentation_homepage_site",
"name": "Documentation / homepage site",
"detail": "https://www.bullettrade.cn",
"points": 15,
"status": "met",
"details": [],
"max_points": 15
},
{
"key": "repository_description",
"name": "Repository description",
"detail": null,
"points": 10,
"status": "met",
"details": [],
"max_points": 10
},
{
"key": "topics",
"name": "Topics",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
},
{
"key": "wiki",
"name": "Wiki",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
}
]
}
],
"description": "Are baseline engineering and documentation practices in place?"
},
{
"key": "security",
"band": "at_risk",
"name": "Security",
"value": 45,
"weight": 0.16,
"metrics": [
{
"key": "security_posture",
"band": "at_risk",
"name": "Security posture",
"note": "Excluded from scoring (no data or not applicable): CI-Tests, Dangerous-Workflow, Packaging, Pinned-Dependencies, Signed-Releases, Token-Permissions. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
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"dangerous_workflow",
"packaging",
"pinned_dependencies",
"signed_releases",
"token_permissions"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 36,
"inputs": {
"source": "openssf_scorecard",
"checks_evaluated": 12,
"scorecard_version": "v5.5.0",
"checks_inconclusive": 6,
"scorecard_aggregate": 3.6
},
"components": [
{
"key": "binary_artifacts",
"name": "Binary-Artifacts",
"detail": "no binaries found in the repo",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "branch_protection",
"name": "Branch-Protection",
"detail": "branch protection not enabled on development/release branches",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "ci_tests",
"name": "CI-Tests",
"detail": "no pull request found",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 2.5
},
{
"key": "cii_best_practices",
"name": "CII-Best-Practices",
"detail": "no effort to earn an OpenSSF best practices badge detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 2.5
},
{
"key": "code_review",
"name": "Code-Review",
"detail": "Found 0/30 approved changesets -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "contributors",
"name": "Contributors",
"detail": "project has 0 contributing companies or organizations -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 2.5
},
{
"key": "dangerous_workflow",
"name": "Dangerous-Workflow",
"detail": "no workflows found",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 10
},
{
"key": "dependency_update_tool",
"name": "Dependency-Update-Tool",
"detail": "no update tool detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "fuzzing",
"name": "Fuzzing",
"detail": "project is not fuzzed",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "license",
"name": "License",
"detail": "license file detected",
"points": 2.5,
"status": "met",
"details": [],
"max_points": 2.5
},
{
"key": "maintained",
"name": "Maintained",
"detail": "30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "packaging",
"name": "Packaging",
"detail": "packaging workflow not detected",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 5
},
{
"key": "pinned_dependencies",
"name": "Pinned-Dependencies",
"detail": "no dependencies found",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 5
},
{
"key": "sast",
"name": "SAST",
"detail": "no SAST tool detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "security_policy",
"name": "Security-Policy",
"detail": "security policy file not detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "signed_releases",
"name": "Signed-Releases",
"detail": "no releases found",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 7.5
},
{
"key": "token_permissions",
"name": "Token-Permissions",
"detail": "No tokens found",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 7.5
},
{
"key": "vulnerabilities",
"name": "Vulnerabilities",
"detail": "1 existing vulnerabilities detected",
"points": 6.8,
"status": "partial",
"details": [],
"max_points": 7.5
}
]
},
{
"key": "dependency_advisories",
"band": "good",
"name": "Dependency advisories",
"note": "Matched the pypi:bullet-trade@0.9.2 runtime dependency closure — what installing the published package pulls in — 116 packages. Reachability is not analyzed.",
"notes": [
{
"code": "advisories_scope_published",
"params": {
"package": "pypi:bullet-trade@0.9.2",
"assessed": 116
}
},
{
"code": "advisories_reachability",
"params": {}
}
],
"value": 79,
"inputs": {
"source": "osv",
"advisories": 5,
"affected_packages": 1,
"assessed_packages": 116,
"unassessed_packages": 0,
"affected_by_severity": "high 1",
"direct_affected_packages": 1
},
"components": [
{
"key": "direct_dependencies_free_of_known_advisories",
"name": "Direct dependencies free of known advisories",
"detail": "1 affected: jupyterlab 4.6.1 (high 7.6)",
"points": 13.7,
"status": "partial",
"details": [
{
"code": "advisories_affected",
"params": {
"count": 1,
"packages": "jupyterlab 4.6.1 (high 7.6)"
}
}
],
"max_points": 35
},
{
"key": "indirect_dependencies_free_of_known_advisories",
"name": "Indirect dependencies free of known advisories",
"detail": "no indirect dependency carries a known advisory",
"points": 25,
"status": "met",
"details": [
{
"code": "no_indirect_advisories",
"params": {}
}
],
"max_points": 25
},
{
"key": "no_advisories_left_outstanding",
"name": "No advisories left outstanding",
"detail": "no advisory has been public longer than 90 days",
"points": 40,
"status": "met",
"details": [
{
"code": "advisories_none_stale",
"params": {
"days": 90
}
}
],
"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",
"packages": [],
"red_flag": false,
"assessed_packages": 116,
"malicious_packages": 0,
"direct_malicious_packages": 0,
"withdrawn_malicious_packages": 0,
"installable_malicious_packages": 0
},
"components": [
{
"key": "no_dependency_reported_as_a_malicious_package",
"name": "No dependency reported as a malicious package",
"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": [
"Russia",
"Iran",
"North Korea"
],
"review_only_matches": 0,
"assessed_self_published_locations": 2
},
"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": "at_risk",
"name": "AI Readiness",
"value": 31,
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}
],
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{
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{
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},
{
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]
},
{
"key": "ai_interfaces",
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},
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},
{
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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",
"GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository"
],
"report_type": "repository",
"generated_at": "2026-07-24T01:51:43.586149Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/b/BulletTrade/bullet-trade.svg",
"full_name": "BulletTrade/bullet-trade",
"license_state": "standard",
"license_spdx": "MIT"
}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.