Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
sinaptik-ai/pandas-ai 的健康指数为 100 分中的 77 分,处于「良好」区间。 其得分最高的类别是Engineering Quality(92/100),最低的是Security(36/100)。 最近一次更新在 288 天前。 近期的大部分工作由 1 位贡献者完成。
指标归入加权类别,统一采用 1–100 量表。总体分先取类别加权平均,再依据公开记录的分布进行校准,使各等级具有百分位含义;当公开证据触发高风险司法辖区政策时,评级会按政策调整,并设置 34(存在风险)的上限。
每条轴代表一个类别。形状比平均值更重要——健康的对象会填满整个图形,而“一峰一谷”式画像意味着某一维度的优势正掩盖另一维度的风险。
加权总体分 66 经校准后在公布的指数量表上为 77(记录校准 2026-08-02)。
| 注册表 | 软件包 | 版本 | 月下载量 | 版本数 | 最近发布 |
|---|---|---|---|---|---|
| PyPI | pandasai | 3.0.0 | 244,374 | 225 | 309 天前 |
项目是否仍有生命——是否仍在编写代码,是否仍在发布版本?
| 3.6/36 | 推送新近度 — 最近一次推送于 288 天前 |
| 4.8/36 | 提交节奏 — 52 周中有 7 周有提交 |
| 16.3/18 | 提交量 — 最近一年 65 次提交 |
| 0/10 | OpenSSF Scorecard:Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
| commits_last_year | 65 |
| human_commit_share | 1 |
| days_since_last_push | 288 |
| active_weeks_last_year | 7 |
| 27/27 | 有发布版本 — 已发布 100 个发布版本 |
| 16.2/36 | 发布时效 — 最近一次发布版本于 309 天前 |
| 27/27 | 发布节奏 — 约每 25 天发布一次 |
| 0/10 | OpenSSF Scorecard:Signed-Releases — 无数据 |
| releases_count | 100 |
| latest_release_tag | v3.0.0 |
| releases_from_tags | 否 |
| days_since_latest_release | 309 |
| mean_days_between_releases | 25 |
项目是否拥有用户、下载量与关注度,并具备欢迎贡献者参与的配置?
| 60/60 | 星标 — 23,740 个星标 |
| 25/25 | 复刻 — 2,343 个复刻 |
| 12.3/15 | 关注者 — 166 位关注者 |
| forks | 2,343 |
| stars | 23,740 |
| watchers | 166 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
| 22.5/22.5 | README |
| 16.9/22.5 | 许可证 — 存在许可证文件,但不是可识别的许可证 |
| 18/18 | CONTRIBUTING 指南 |
| 0/13.5 | 行为准则 |
| 0/7.2 | 议题模板 |
| 6.3/6.3 | PR 模板 |
| has_readme | 是 |
| has_license | 是 |
| readme_badges | 5 |
| has_contributing | 是 |
| has_issue_template | 否 |
| has_code_of_conduct | 否 |
| readme_badge_services | codecov.io, github.com, shields.io |
| has_pull_request_template | 是 |
| 71.8/80 | 月度下载量 — pypi 合计每月 244,374 次下载 |
| 0/20 | 注册表被依赖数 — 该生态系统不报告此项 |
| packages | pandasai |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 244,374 |
| unverified_packages_excluded | — |
项目能否在其成员之外延续——巴士系数、响应能力、由谁支持,以及软件包的维护状况?
| 9/54 | 巴士系数 — 1 位贡献者贡献了半数提交 |
| 10.8/22.5 | 提交分布 — 头号贡献者编写了 52% 的提交 |
| 13.5/13.5 | 贡献者广度 — 97 位贡献者 |
| 10/10 | OpenSSF Scorecard:Contributors — project has 8 contributing companies or organizations |
| bus_factor | 1 |
| contributors_sampled | 97 |
| top_contributor_share | 0.521 |
| 41.7/42 | 议题解决 — 99% 的议题已关闭 |
| 23.7/30 | PR 接受 — 已裁定的 PR 中 564/713 已合并 |
| 0/13 | Newcomer PR acceptance — 30 天内没有首次贡献者的 PR 得到裁决 |
| 4.5/15 | OpenSSF Scorecard:Code-Review — Found 4/13 approved changesets -- score normalized to 3 |
| merged_prs | 564 |
| open_issues | 6 |
| closed_issues | 928 |
| prs_merged_7d | 0 |
| prs_decided_7d | 0 |
| prs_merged_30d | 0 |
| prs_decided_30d | 0 |
| issue_closed_ratio | 0.994 |
| closed_unmerged_prs | 149 |
| first_time_authors_30d | 0 |
| first_time_prs_merged_30d | 0 |
| first_time_prs_decided_30d | 0 |
| 30/30 | 所有权背书 — 组织持有 |
| 0/20 | 已验证域名 — 未读取该组织的域名验证状态 |
| 17.9/25 | 所有者影响力 — sinaptik-ai 有 308 位关注者 |
| 11.4/25 | 既往记录 — 6 个公开仓库,账户约 2 年 |
| followers | 308 |
| owner_type | Organization |
| is_verified | — |
| owner_login | sinaptik-ai |
| public_repos | 6 |
| account_age_days | 966 |
| 25/25 | 已发布且可解析 — pypi 上有 1 个软件包 |
| 26/35 | 发布时效 — 最近一次发布于 309 天前 |
| 20/20 | 版本历史 — 225 个已发布版本 |
| 20/20 | 未被弃用 — 活跃,未被弃用或撤回 |
| packages | pandasai |
| ecosystems | pypi |
| any_deprecated | 否 |
| min_days_since_publish | 309 |
基础的工程与文档实践是否到位?
| 24/24 | CI 工作流 — 3 个工作流 |
| 24/24 | 存在测试 |
| 16/16 | Linter 配置 |
| 9.6/9.6 | Pre-commit 钩子 |
| 0/6.4 | .editorconfig |
| 12/20 | OpenSSF Scorecard:CI-Tests — 6 out of 9 merged PRs checked by a CI test -- score normalized to 6 |
| has_ci | 是 |
| has_tests | 是 |
| has_editorconfig | 否 |
| has_linter_config | 是 |
| has_precommit_config | 是 |
| 30/30 | README |
| 25/25 | 文档目录 |
| 15/15 | 文档 / 主页站点 — https://pandas-ai.com |
| 10/10 | 仓库描述 |
| 10/10 | 主题标签 — 13 个主题标签 |
| 10/10 | Wiki |
| topics | llm, pandas, ai, data-analysis, data-science, gpt-4, csv, data, sql, database, datalake, data-visualization, text-to-sql |
| has_wiki | 是 |
| homepage | https://pandas-ai.com |
| docs_site | https://pandas-ai.com |
| has_readme | 是 |
| has_docs_dir | 是 |
| has_description | 是 |
可见的安全与供应链实践是否稳固,且不存在未解决的高风险司法辖区暴露?
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — 无数据 |
| 1.5/2.5 | CI-Tests — 6 out of 9 merged PRs checked by a CI test -- score normalized to 6 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 2.2/7.5 | Code-Review — Found 4/13 approved changesets -- score normalized to 3 |
| 2.5/2.5 | Contributors — project has 8 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 0/7.5 | Dependency-Update-Tool — no update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.2/2.5 | 许可证 — license file detected |
| 0/7.5 | Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
| 0/5 | Packaging — 无数据 |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 0/5 | SAST — SAST tool is not run on all commits -- score normalized to 0 |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — 无数据 |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 0/7.5 | Vulnerabilities — 171 existing vulnerabilities detected |
| source | openssf_scorecard |
| checks_evaluated | 15 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 3 |
| scorecard_aggregate | 3.1 |
| 8.1/35 | 直接依赖不含已知公告 — 2 个受影响:pillow 10.4.0 (critical 9.1), pyarrow 18.1.0 (high 7.0) |
| 25/25 | 间接依赖不含已知公告 — 没有间接依赖携带已知公告 |
| 28.5/40 | 没有长期未处理的公告 — 2 个携带公告的软件包超过 90 天未处理;最早一条发布于 182 天前 |
| source | osv |
| advisories | 36 |
| affected_packages | 2 |
| assessed_packages | 36 |
| unassessed_packages | 0 |
| affected_by_severity | critical 1, high 1 |
| direct_affected_packages | 2 |
该仓库在多大程度上具备与 AI 编码代理协同开发与维护的条件?权重刻意设小(4%):代理工具链是一项真实的维护信号,但完全不具备的仓库仍可达到 100/100。
| 0/45 | 代理指令 — 没有 CLAUDE.md / AGENTS.md / 编辑器规则 |
| 0/15 | 机器可读文档(llms.txt) |
| 30.4/40 | 可读的提交历史 — 100 次人类提交中有 57 次说明了意图(结构化标题或解释性正文) |
| has_llms_txt | 否 |
| llms_txt_url | — |
| legible_history_share | 0.57 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
| 18/18 | 一条命令的引导启动 — Makefile |
| 22/22 | 自动化测试 |
| 11/11 | Lint / 格式化配置 |
| 0/11 | 静态类型检查 |
| 10/10 | 可复现环境 — Dockerfile, lockfile |
| 10/10 | 已体现的代理实践 — 最近 100 次提交中有 9 次由代理编写或署名代理 |
| 0/8 | 自动化维护 — 未观察到自动依赖更新 |
| 0/10 | OpenSSF Scorecard:Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| has_nix | 否 |
| has_tests | 是 |
| lockfiles | poetry.lock |
| has_dockerfile | 是 |
| typed_language | 否 |
| bootstrap_files | Makefile |
| has_devcontainer | 否 |
| has_linter_config | 是 |
| typecheck_configs | — |
| agent_commit_share | 0.09 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
| 0/45 | 可类型检查的代码 — Python,未配置类型检查 |
| 55/55 | 可控的文件大小 — 采样的 191 个源文件中有 0 个超过 60KB |
| primary_language | Python |
| largest_source_bytes | 23,307 |
| source_files_sampled | 191 |
| oversized_source_files | 0 |
| 0/40 | API 模式(OpenAPI/GraphQL/proto) — 不适用于此类软件 |
| 0/20 | MCP 服务器 — 不适用于此类软件 |
| 40/40 | 可运行示例 — examples, notebooks |
| example_dirs | examples, notebooks |
| has_mcp_signal | 否 |
| api_schema_files | — |
| interfaces_expected_of | — |
每颗 star 和每个 fork 的添加时间,来自 GitHub 并按天汇总。累计增长位于其构成来源——每日新增——的正上方,二者可相互对照:稳定的自然增长与短暂的突增形态截然不同。当这一差别可被衡量时,它会作为增长真实性予以报告。
仅显示最近的历史——该仓库超出采集窗口,因此未采集最早的历史记录。
每个点涵盖 2 天。
来自开源项目 OpenSSF Scorecard 的独立、工具无关的安全评估。每项检查奖励的是安全实践本身,而非特定供应商的工具。Scorecard 无法判定的检查项标记为 不适用,并从安全评分中剔除(绝不按零分计)。
| 10 | Binary-Artifacts | no binaries found in the repo |
| 不适用 | Branch-Protection | internal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md |
| 6 | CI-Tests | 6 out of 9 merged PRs checked by a CI test -- score normalized to 6 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 3 | Code-Review | Found 4/13 approved changesets -- score normalized to 3 |
| 10 | Contributors | project has 8 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 0 | Dependency-Update-Tool | no update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 9 | License | license file detected |
| 0 | Maintained | 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
| 不适用 | Packaging | packaging workflow not detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 0 | Security-Policy | security policy file not detected |
| 不适用 | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 0 | Vulnerabilities | 171 existing vulnerabilities detected |
| 注册表 | 软件包 | 版本约束 | 清单文件 |
|---|---|---|---|
| PyPI | python-dotenv | ^1.0.0 | pyproject.toml |
| PyPI | pandas | ^2.0.3 | pyproject.toml |
| PyPI | scipy | 1.10.1 | pyproject.toml |
| PyPI | astor | ^0.8.1 | pyproject.toml |
| PyPI | matplotlib | <3.8,>=3.7.1 | pyproject.toml |
| PyPI | pydantic | ^2.6.4 | pyproject.toml |
| PyPI | duckdb | ^1.0.0 | pyproject.toml |
| PyPI | pillow | ^10.1.0 | pyproject.toml |
| PyPI | requests | ^2.31.0 | pyproject.toml |
| PyPI | jinja2 | ^3.1.3 | pyproject.toml |
| PyPI | numpy | ^1.17 | pyproject.toml |
| PyPI | openpyxl | ^3.1.5 | pyproject.toml |
| PyPI | seaborn | ^0.12.2 | pyproject.toml |
| PyPI | sqlglot | ^25.0.3 | pyproject.toml |
| PyPI | pyarrow | >=14.0.1,<19.0.0 | pyproject.toml |
| PyPI | pyyaml | ^6.0.2 | pyproject.toml |
来自 GitHub 依赖图的完整解析依赖集合:20 个直接依赖与 252 个间接(传递)软件包。仓库提交锁文件时,传递闭包才是完整的。
| 注册表 | 软件包 | 版本 | 关系 |
|---|---|---|---|
| PyPI | astor | 0.8.1 | 直接 |
| PyPI | duckdb | 1.1.3 | 直接 |
| PyPI | jinja2 | 3.1.5 | 直接 |
| PyPI | matplotlib | 3.7.5 | 直接 |
| PyPI | numpy | 1.23.2 | 直接 |
| PyPI | numpy | 1.24.4 | 直接 |
| PyPI | numpy | 1.26.4 | 直接 |
| PyPI | openpyxl | 3.1.5 | 直接 |
| PyPI | pandas | 2.0.3 | 直接 |
| PyPI | pandas | 2.2.3 | 直接 |
| PyPI | pillow | 10.4.0 | 直接 |
| PyPI | pyarrow | 14.0.2 | 直接 |
| PyPI | pydantic | 2.10.5 | 直接 |
| PyPI | pydantic | 2.10.6 | 直接 |
| PyPI | python-dotenv | 1.0.1 | 直接 |
| PyPI | pyyaml | 6.0.2 | 直接 |
| PyPI | requests | 2.32.3 | 直接 |
| PyPI | scipy | 1.10.1 | 直接 |
| PyPI | seaborn | 0.12.2 | 直接 |
| PyPI | sqlglot | 25.34.1 | 直接 |
| PyPI | aiohappyeyeballs | 2.4.4 | 间接 |
| PyPI | aiohttp | 3.10.11 | 间接 |
| PyPI | aiosignal | 1.3.1 | 间接 |
| PyPI | annotated-types | 0.7.0 | 间接 |
| PyPI | anyio | 4.5.2 | 间接 |
| PyPI | anyio | 4.8.0 | 间接 |
| PyPI | asgiref | 3.8.1 | 间接 |
| PyPI | asn1crypto | 1.5.1 | 间接 |
| PyPI | async-timeout | 5.0.1 | 间接 |
| PyPI | attrs | 24.3.0 | 间接 |
| PyPI | attrs | 25.1.0 | 间接 |
| PyPI | backoff | 2.2.1 | 间接 |
| PyPI | bcrypt | 4.2.1 | 间接 |
| PyPI | beautifulsoup4 | 4.12.3 | 间接 |
| PyPI | build | 1.2.2.post1 | 间接 |
| PyPI | cachetools | 5.5.0 | 间接 |
| PyPI | certifi | 2024.12.14 | 间接 |
| PyPI | cffi | 1.17.1 | 间接 |
| PyPI | cfgv | 3.4.0 | 间接 |
| PyPI | charset-normalizer | 3.4.1 | 间接 |
| PyPI | chroma-hnswlib | 0.7.3 | 间接 |
| PyPI | chromadb | 0.4.24 | 间接 |
| PyPI | click | 8.1.8 | 间接 |
| PyPI | cockroachdb | 0.3.5 | 间接 |
| PyPI | codespell | 2.4.1 | 间接 |
| PyPI | colorama | 0.4.6 | 间接 |
| PyPI | coloredlogs | 15.0.1 | 间接 |
| PyPI | contourpy | 1.1.1 | 间接 |
| PyPI | contourpy | 1.3.0 | 间接 |
| PyPI | coverage | 7.6.1 | 间接 |
| PyPI | coverage | 7.6.10 | 间接 |
| PyPI | cryptography | 43.0.3 | 间接 |
| PyPI | cx-oracle | 8.3.0 | 间接 |
| PyPI | cycler | 0.12.1 | 间接 |
| PyPI | databricks-sql-connector | 3.7.1 | 间接 |
| PyPI | decorator | 5.1.1 | 间接 |
| PyPI | deprecated | 1.2.15 | 间接 |
| PyPI | deprecation | 2.1.0 | 间接 |
| PyPI | distlib | 0.3.9 | 间接 |
| PyPI | distro | 1.9.0 | 间接 |
| PyPI | docker | 7.1.0 | 间接 |
| PyPI | durationpy | 0.9 | 间接 |
| PyPI | et-xmlfile | 2.0.0 | 间接 |
| PyPI | exceptiongroup | 1.2.2 | 间接 |
| PyPI | fastapi | 0.115.6 | 间接 |
| PyPI | filelock | 3.16.1 | 间接 |
| PyPI | flatbuffers | 24.12.23 | 间接 |
| PyPI | fonttools | 4.55.3 | 间接 |
| PyPI | fonttools | 4.55.4 | 间接 |
| PyPI | fonttools | 4.55.8 | 间接 |
| PyPI | frozendict | 2.4.6 | 间接 |
| PyPI | frozenlist | 1.5.0 | 间接 |
| PyPI | fsspec | 2024.12.0 | 间接 |
| PyPI | google-api-core | 2.24.0 | 间接 |
| PyPI | google-auth | 2.37.0 | 间接 |
| PyPI | google-cloud-bigquery | 3.27.0 | 间接 |
| PyPI | google-cloud-core | 2.4.1 | 间接 |
| PyPI | google-crc32c | 1.6.0 | 间接 |
| PyPI | google-resumable-media | 2.7.2 | 间接 |
| PyPI | googleapis-common-protos | 1.66.0 | 间接 |
| PyPI | greenlet | 3.1.1 | 间接 |
| PyPI | grpcio | 1.67.1 | 间接 |
| PyPI | grpcio | 1.69.0 | 间接 |
| PyPI | grpcio-status | 1.69.0 | 间接 |
| PyPI | grpcio-tools | 1.69.0 | 间接 |
| PyPI | h11 | 0.14.0 | 间接 |
| PyPI | h2 | 4.1.0 | 间接 |
| PyPI | hpack | 4.0.0 | 间接 |
| PyPI | html5lib | 1.1 | 间接 |
| PyPI | httpcore | 1.0.7 | 间接 |
| PyPI | httptools | 0.6.4 | 间接 |
| PyPI | httpx | 0.28.1 | 间接 |
| PyPI | huggingface-hub | 0.27.1 | 间接 |
| PyPI | humanfriendly | 10.0 | 间接 |
| PyPI | hyperframe | 6.0.1 | 间接 |
| PyPI | identify | 2.6.1 | 间接 |
| PyPI | idna | 3.10 | 间接 |
| PyPI | importlib-metadata | 8.5.0 | 间接 |
| PyPI | importlib-resources | 6.4.5 | 间接 |
| PyPI | importlib-resources | 6.5.2 | 间接 |
| PyPI | iniconfig | 2.0.0 | 间接 |
| PyPI | jiter | 0.8.2 | 间接 |
| PyPI | joblib | 1.4.2 | 间接 |
| PyPI | jsonschema | 4.23.0 | 间接 |
| PyPI | jsonschema-specifications | 2023.12.1 | 间接 |
| PyPI | kiwisolver | 1.4.7 | 间接 |
| PyPI | kubernetes | 31.0.0 | 间接 |
| PyPI | lancedb | 0.5.7 | 间接 |
| PyPI | litellm | 1.61.20 | 间接 |
| PyPI | lxml | 5.3.0 | 间接 |
| PyPI | lz4 | 4.3.3 | 间接 |
| PyPI | markdown-it-py | 3.0.0 | 间接 |
| PyPI | markupsafe | 2.1.5 | 间接 |
| PyPI | markupsafe | 3.0.2 | 间接 |
| PyPI | mdurl | 0.1.2 | 间接 |
| PyPI | milvus-lite | 2.4.11 | 间接 |
| PyPI | milvus-model | 0.2.12 | 间接 |
| PyPI | mmh3 | 5.0.1 | 间接 |
| PyPI | monotonic | 1.6 | 间接 |
| PyPI | mpmath | 1.3.0 | 间接 |
| PyPI | multidict | 6.1.0 | 间接 |
| PyPI | multitasking | 0.0.11 | 间接 |
| PyPI | networkx | 3.1 | 间接 |
| PyPI | networkx | 3.2.1 | 间接 |
| PyPI | nodeenv | 1.9.1 | 间接 |
| PyPI | nvidia-cublas-cu12 | 12.1.3.1 | 间接 |
| PyPI | nvidia-cublas-cu12 | 12.4.5.8 | 间接 |
| PyPI | nvidia-cuda-cupti-cu12 | 12.1.105 | 间接 |
| PyPI | nvidia-cuda-cupti-cu12 | 12.4.127 | 间接 |
| PyPI | nvidia-cuda-nvrtc-cu12 | 12.1.105 | 间接 |
| PyPI | nvidia-cuda-nvrtc-cu12 | 12.4.127 | 间接 |
| PyPI | nvidia-cuda-runtime-cu12 | 12.1.105 | 间接 |
| PyPI | nvidia-cuda-runtime-cu12 | 12.4.127 | 间接 |
| PyPI | nvidia-cudnn-cu12 | 9.1.0.70 | 间接 |
| PyPI | nvidia-cufft-cu12 | 11.0.2.54 | 间接 |
| PyPI | nvidia-cufft-cu12 | 11.2.1.3 | 间接 |
| PyPI | nvidia-curand-cu12 | 10.3.2.106 | 间接 |
| PyPI | nvidia-curand-cu12 | 10.3.5.147 | 间接 |
| PyPI | nvidia-cusolver-cu12 | 11.4.5.107 | 间接 |
| PyPI | nvidia-cusolver-cu12 | 11.6.1.9 | 间接 |
| PyPI | nvidia-cusparse-cu12 | 12.1.0.106 | 间接 |
| PyPI | nvidia-cusparse-cu12 | 12.3.1.170 | 间接 |
| PyPI | nvidia-nccl-cu12 | 2.20.5 | 间接 |
| PyPI | nvidia-nccl-cu12 | 2.21.5 | 间接 |
| PyPI | nvidia-nvjitlink-cu12 | 12.4.127 | 间接 |
| PyPI | nvidia-nvjitlink-cu12 | 12.6.85 | 间接 |
| PyPI | nvidia-nvtx-cu12 | 12.1.105 | 间接 |
| PyPI | nvidia-nvtx-cu12 | 12.4.127 | 间接 |
| PyPI | oauthlib | 3.2.2 | 间接 |
| PyPI | onnxruntime | 1.15.1 | 间接 |
| PyPI | onnxruntime | 1.19.2 | 间接 |
| PyPI | openai | 1.59.9 | 间接 |
| PyPI | openai | 1.60.2 | 间接 |
| PyPI | openai | 1.65.1 | 间接 |
| PyPI | opentelemetry-api | 1.29.0 | 间接 |
| PyPI | opentelemetry-exporter-otlp-proto-common | 1.29.0 | 间接 |
| PyPI | opentelemetry-exporter-otlp-proto-grpc | 1.29.0 | 间接 |
| PyPI | opentelemetry-instrumentation | 0.50b0 | 间接 |
| PyPI | opentelemetry-instrumentation-asgi | 0.50b0 | 间接 |
| PyPI | opentelemetry-instrumentation-fastapi | 0.50b0 | 间接 |
| PyPI | opentelemetry-proto | 1.29.0 | 间接 |
| PyPI | opentelemetry-sdk | 1.29.0 | 间接 |
| PyPI | opentelemetry-semantic-conventions | 0.50b0 | 间接 |
| PyPI | opentelemetry-util-http | 0.50b0 | 间接 |
| PyPI | orjson | 3.10.15 | 间接 |
| PyPI | overrides | 7.7.0 | 间接 |
| PyPI | packaging | 24.2 | 间接 |
| PyPI | pandasai | 3.0.0b4 | 间接 |
| PyPI | peewee | 3.17.8 | 间接 |
| PyPI | pinecone-client | 3.2.2 | 间接 |
| PyPI | pkgutil-resolve-name | 1.3.10 | 间接 |
| PyPI | platformdirs | 4.3.6 | 间接 |
| PyPI | pluggy | 1.5.0 | 间接 |
| PyPI | portalocker | 2.10.1 | 间接 |
| PyPI | posthog | 3.8.4 | 间接 |
| PyPI | pre-commit | 3.5.0 | 间接 |
| PyPI | propcache | 0.2.0 | 间接 |
| PyPI | proto-plus | 1.25.0 | 间接 |
| PyPI | protobuf | 5.29.3 | 间接 |
| PyPI | psycopg2-binary | 2.9.10 | 间接 |
| PyPI | pulsar-client | 3.5.0 | 间接 |
| PyPI | py | 1.11.0 | 间接 |
| PyPI | pyasn1 | 0.6.1 | 间接 |
| PyPI | pyasn1-modules | 0.4.1 | 间接 |
| PyPI | pycparser | 2.22 | 间接 |
| PyPI | pydantic-core | 2.27.2 | 间接 |
| PyPI | pygments | 2.19.1 | 间接 |
| PyPI | pyjwt | 2.10.1 | 间接 |
| PyPI | pylance | 0.9.18 | 间接 |
| PyPI | pymilvus | 2.5.3 | 间接 |
| PyPI | pymssql | 2.3.7 | 间接 |
| PyPI | pymysql | 1.1.1 | 间接 |
| PyPI | pyopenssl | 24.3.0 | 间接 |
| PyPI | pyparsing | 3.1.4 | 间接 |
| PyPI | pyparsing | 3.2.1 | 间接 |
| PyPI | pypika | 0.48.9 | 间接 |
| PyPI | pyproject-hooks | 1.2.0 | 间接 |
| PyPI | pyreadline3 | 3.5.4 | 间接 |
| PyPI | pytest | 7.4.4 | 间接 |
| PyPI | pytest-cov | 4.1.0 | 间接 |
| PyPI | pytest-env | 0.8.2 | 间接 |
| PyPI | pytest-mock | 3.14.0 | 间接 |
| PyPI | python-dateutil | 2.9.0.post0 | 间接 |
| PyPI | pytz | 2024.2 | 间接 |
| PyPI | pywin32 | 308 | 间接 |
| PyPI | qdrant-client | 1.4.0 | 间接 |
| PyPI | ratelimiter | 1.2.0.post0 | 间接 |
| PyPI | referencing | 0.35.1 | 间接 |
| PyPI | regex | 2024.11.6 | 间接 |
| PyPI | requests-oauthlib | 2.0.0 | 间接 |
| PyPI | retry | 0.9.2 | 间接 |
| PyPI | rich | 13.9.4 | 间接 |
| PyPI | rpds-py | 0.20.1 | 间接 |
| PyPI | rsa | 4.9 | 间接 |
| PyPI | ruff | 0.1.15 | 间接 |
| PyPI | safetensors | 0.5.2 | 间接 |
| PyPI | scikit-learn | 1.3.2 | 间接 |
| PyPI | scikit-learn | 1.6.1 | 间接 |
| PyPI | semver | 3.0.2 | 间接 |
| PyPI | sentence-transformers | 2.7.0 | 间接 |
| PyPI | setuptools | 70.0.0 | 间接 |
| PyPI | setuptools | 75.8.0 | 间接 |
| PyPI | shellingham | 1.5.4 | 间接 |
| PyPI | six | 1.17.0 | 间接 |
| PyPI | sniffio | 1.3.1 | 间接 |
| PyPI | snowflake-connector-python | 3.12.4 | 间接 |
| PyPI | snowflake-sqlalchemy | 1.7.3 | 间接 |
| PyPI | sortedcontainers | 2.4.0 | 间接 |
| PyPI | soupsieve | 2.6 | 间接 |
| PyPI | sourcery | 1.33.0 | 间接 |
| PyPI | sqlalchemy | 2.0.37 | 间接 |
| PyPI | sqlalchemy-bigquery | 1.12.0 | 间接 |
| PyPI | sqlglotrs | 0.3.0 | 间接 |
| PyPI | starlette | 0.41.3 | 间接 |
| PyPI | sympy | 1.12.1 | 间接 |
| PyPI | sympy | 1.13.1 | 间接 |
| PyPI | sympy | 1.13.3 | 间接 |
| PyPI | tenacity | 9.0.0 | 间接 |
| PyPI | threadpoolctl | 3.5.0 | 间接 |
| PyPI | thrift | 0.20.0 | 间接 |
| PyPI | tiktoken | 0.7.0 | 间接 |
| PyPI | tokenizers | 0.20.3 | 间接 |
| PyPI | tokenizers | 0.21.0 | 间接 |
| PyPI | tomli | 2.2.1 | 间接 |
| PyPI | tomlkit | 0.13.2 | 间接 |
| PyPI | torch | 2.4.1 | 间接 |
| PyPI | torch | 2.5.1 | 间接 |
| PyPI | tqdm | 4.67.1 | 间接 |
| PyPI | transformers | 4.46.3 | 间接 |
| PyPI | transformers | 4.48.1 | 间接 |
| PyPI | triton | 3.0.0 | 间接 |
| PyPI | triton | 3.1.0 | 间接 |
| PyPI | typer | 0.15.1 | 间接 |
| PyPI | typing-extensions | 4.12.2 | 间接 |
| PyPI | tzdata | 2024.2 | 间接 |
| PyPI | tzdata | 2025.1 | 间接 |
| PyPI | ujson | 5.10.0 | 间接 |
| PyPI | urllib3 | 1.26.20 | 间接 |
| PyPI | urllib3 | 2.2.3 | 间接 |
| PyPI | urllib3 | 2.3.0 | 间接 |
| PyPI | uvicorn | 0.34.0 | 间接 |
| PyPI | uvloop | 0.21.0 | 间接 |
| PyPI | virtualenv | 20.29.1 | 间接 |
| PyPI | watchfiles | 1.0.4 | 间接 |
| PyPI | webencodings | 0.5.1 | 间接 |
| PyPI | websocket-client | 1.8.0 | 间接 |
| PyPI | websockets | 14.2 | 间接 |
| PyPI | wrapt | 1.17.2 | 间接 |
| PyPI | yarl | 1.15.2 | 间接 |
| PyPI | yfinance | 0.2.52 | 间接 |
| PyPI | zipp | 3.20.2 | 间接 |
| PyPI | zipp | 3.21.0 | 间接 |
安装 pypi:pandasai@3.0.0 会引入 36 个包(直接与传递):其中 2 个存在已知公告,2 个为直接依赖。
| 软件包 | 版本 | 关系 | 严重程度 | 公告数 | 修复版本 |
|---|---|---|---|---|---|
| pillow | 10.4.0 | 直接 | 严重 | 34 | 12.3.0 |
| pyarrow | 18.1.0 | 直接 | 高 | 2 | 23.0.1 |
公告表示依赖图中记录的版本落入某条公告的受影响范围。可达性未经分析,且依赖图包含开发与测试的版本固定——某项发现可能只涉及工具链而非交付的软件。
发现这份报告有不准确之处,或有想法要分享?错误的测量、未识别的工具、建议、疑问——都欢迎提出。每条消息都会被阅读并得到回复。