--- title: "OpenAI Data Analytics Notebooks: review, setup & limitations · Undominated.ai" canonical: https://undominated.ai/skills/openai-jupyter-notebooks/ description: "Turns SQL or Python analysis into a traceable notebook whose conclusions are tied to executed outputs and stated assumptions." --- # OpenAI Data Analytics Notebooks: review, setup & limitations · Undominated.ai > Turns SQL or Python analysis into a traceable notebook whose conclusions are tied to executed outputs and stated assumptions. [← Explore all skills](/skills/) DATA AND RESEARCH / OpenAI # OpenAI Data Analytics Notebooks Turns SQL or Python analysis into a traceable notebook whose conclusions are tied to executed outputs and stated assumptions. See setup guidance ↓Original source ↗ SOURCE REVIEW Reviewed 2026-09-21 Evidence 5 linked sources Publisher OpenAI Licence Proprietary (declared in plugin manifest) ↗ Revision 1dc195897af4 Read what was—and wasn’t—checked ↓ “Create, edit, or validate reproducible SQL or Python notebooks. Use for notebooks, SQL/Python scratchpads, reproducible exploration, audit trails, or runnable companions where the analysis should” OpenAI · upstream description ↗ Our analysis follows below. 01 / THE REASONING ## Why this made the selection. - Records query links, input versions, filters and cohort definitions next to the analysis. - Requires surprising results to pass reasonableness checks before they enter the summary. ### A good fit for - Preparing a rerunnable analytical handoff - Building a notebook that supports a business or research decision ### Weigh up before choosing - Warehouse and operational-log placeholders depend on the host’s configured connectors; exports or supplied data are fallback paths. - Executing a notebook can run arbitrary code or billable queries and its documented in-place command rewrites the file. - The plugin manifest is proprietary; this catalogue does not redistribute its definition. 02 / THE REVIEW RECORD ## What we actually inspected. Source review has boundaries. A clear record is more useful than a “safe” badge. ### Material inspected - plugins/data-analytics/skills/jupyter-notebooks/SKILL.md - plugins/data-analytics/.codex-plugin/plugin.json - plugins/data-analytics/README.md ### Our findings - The workflow prefers notebook-aware tooling to hand-editing raw JSON and preserves existing notebook intent. - Summary and takeaways are written after checking executed cells, with missing execution clearly called out. - For decision-support results it routes to the plugin’s separate data-validation skill. ### Not established by this review - Source inspection only; no skill installation or workflow execution was performed. The review applies to the material and revision named here. A newer upstream release can change its behavior. 03 / PUT IT TO WORK ## Add a skill to your workflow. Upstream setup instructions ↗ - Use the complete data-analytics Codex plugin through its supported distribution and setup instructions. - Retain plugin-level references and companion skills; this is not a standalone SKILL.md installation. - Confirm plugin availability and any required connectors in the Codex host before invoking the workflow. ### Before you start - A Codex host with access to this plugin and its applicable service terms - A compatible kernel and source data - Authorized connector access where live queries are needed ### Compatibility Codex Data Analytics plugin · Python/Jupyter and optionally SQL data connectors ### Read data and write notebook artifacts - Read data and write notebook artifacts - Execute Python/SQL and contact configured data sources - Preserve source links without exposing credentials in outputs ### Cost model The proprietary plugin follows its host service terms; warehouse queries, notebook compute and other connected services can incur separate charges. 04 / FOLLOW THE EVIDENCE ## The source trail. Our notes are separate from the original resource. Check upstream before adopting a new version. - Skill definition at reviewed revision ↗ Checked 2026-09-21 https://github.com/openai/plugins/blob/1dc195897af4161d039b80d8471ec0a10c9bbc89/plugins/data-analytics/skills/jupyter-notebooks/SKILL.md Supports: summary, upstreamDescription, whySelected, bestFor, limitations, review, compatibility, access - Upstream license or licensing declaration ↗ Checked 2026-09-21 https://github.com/openai/plugins/blob/1dc195897af4161d039b80d8471ec0a10c9bbc89/plugins/data-analytics/.codex-plugin/plugin.json Supports: license - Publisher installation and project documentation ↗ Checked 2026-09-21 https://github.com/openai/plugins/blob/1dc195897af4161d039b80d8471ec0a10c9bbc89/README.md Supports: install, compatibility, access - Skills installer source formats and selective installation ↗ Checked 2026-09-21 https://github.com/vercel-labs/skills/blob/7407f3893ad4dceab546ac002c3ef806e4000c73/README.md Supports: install - Complete plugin setup and operational boundaries ↗ Checked 2026-09-21 https://github.com/openai/plugins/blob/1dc195897af4161d039b80d8471ec0a10c9bbc89/plugins/data-analytics/README.md Supports: install, compatibility, access, review KEEP COMPARING ## Other approaches to consider. Related by category or shared topics. These are alternatives to inspect, not a measured quality order. [### Hugging Face Dataset Workflows ↗ Explores Hub dataset splits and rows through the Dataset Viewer API and documents separate dataset-upload workflows.](/skills/huggingface-huggingface-datasets/)[### Hugging Face Paper Reading ↗ Retrieves AI research-paper text and structured metadata, with fallbacks to the original arXiv page or PDF when Hub text is incomplete.](/skills/huggingface-huggingface-papers/)[### dbt Documentation Maintenance ↗ Audits descriptions in a dbt manifest and drafts missing model or column documentation in the project’s existing style.](/skills/dbt-labs-maintaining-dbt-documentation/) [AI Tools ↗](/tools/)[Skills ↗](/skills/)[Agents ↗](/agents/)[MCP Servers ↗](/mcp-servers/)