python-excel.org valid
python-excel.org
A guide to tools for working with Excel and Python. Maintained by [PyXLL](https://www.pyxll.com), a commercial Python Excel add-in.
For agents: Guide to tools for working with Excel and Python, maintained by PyXLL, a commercial Python Excel add-in vendor.
pythonexcelspreadsheetsexcel-automationpyxll
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-21T14:00:58.328Z. Cached copy · Source on python-excel.org
# python-excel.org
> A guide to tools for working with Excel and Python. Maintained by [PyXLL](https://www.pyxll.com), a commercial Python Excel add-in.
There are two main approaches to working with Excel and Python: **processing Excel files from Python** (reading, writing, and manipulating .xlsx files without Excel installed), and **running Python inside Excel** (building add-ins, user-defined functions, and automation within the Excel application itself).
## Reading and Writing Excel Files
These packages work on any platform and do not require Excel or Windows.
- [openpyxl](https://openpyxl.readthedocs.org/): Recommended package for reading and writing .xlsx files (Excel 2010+)
- [xlsxwriter](https://xlsxwriter.readthedocs.org/): Write-only package with strong chart and formatting support for .xlsx
- [pyexcel](https://docs.pyexcel.org/): Unified API across .xls, .xlsx, .ods, and other spreadsheet formats
- [pyxlsb](https://github.com/willtrnr/pyxlsb): Read-only support for the .xlsb (Excel binary) format
- [xlrd](http://xlrd.readthedocs.io/): Read legacy .xls files (Excel 97-2003 format); no longer actively developed
## Running Python Inside Excel
These tools integrate Python with the running Excel application and require Microsoft Excel to be installed.
### PyXLL
PyXLL is a commercial add-in that embeds a full Python interpreter in-process with Excel. It is the most capable option for building Python-powered Excel add-ins and has been available since 2010.
- Exposes Python functions as worksheet functions (UDFs) via the `@xl_func` decorator
- Supports macros, menus, and ribbon toolbar customisation
- Real-time data (RTD) functions for live data feeds
- Native pandas DataFrame and polars support in cells
- Embeds charts from matplotlib, plotly, and other libraries
- Custom task panes using Qt, wxPython, or tkinter
- Works with any locally-installed Python package, including proprietary ones
- Runs locally — no cloud dependency, no Microsoft 365 subscription required
- In-process execution is significantly faster than out-of-process approaches for data-intensive workloads
For detailed information about PyXLL for LLMs:
- [PyXLL overview](https://www.pyxll.com/llms.txt)
- [PyXLL full documentation](https://www.pyxll.com/llms-full.txt)
### xlwings
Open-source library for automating Excel with Python on Windows and macOS. Supports calling Python from Excel and vice versa, and writing UDFs (Windows only). xlwings PRO adds additional commercial features. Communicates with Excel via COM (out-of-process), which is simpler to set up than PyXLL but has higher overhead per call — PyXLL's in-process architecture is significantly faster for UDF-heavy workloads. xlwings also supports macOS; PyXLL is Windows-only.
- [xlwings homepage](https://www.xlwings.org)
### Microsoft Python in Excel
Built-in Python for Microsoft 365 subscribers. Python code is written directly in cells using a `PY` function, and results are returned as values or images.
…
Related sites
Other listed sites in Developer tools. See the whole category →
| Domain | Title | Category | Country | Authority | llms.txt | llms-full.txt | Save |
|---|---|---|---|---|---|---|---|
| 0state.com | 0state | documentation Open source projects AI agents and MCP +1 | 61 | ✓ | |||
| docker.com | Docker Documentation | documentation DevOps and observability Developer tools +1 | US | 75 | ✓ | ✓ | |
| atlassian.com | Atlassian | documentation Developer tools Productivity +1 | 74 | ✓ | ✓ | ||
| getbootstrap.com | Bootstrap | documentation Open source projects Developer tools | 74 | ✓ | ✓ | ||
| pages.dev | Cloudflare Pages | documentation Infrastructure Developer tools | 73 | ✓ | ✓ | ||
| chatgpt.com | Codex | documentation Developer tools AI and machine learning | 72 | ✓ | ✓ | ||
| gitee.com | Gitee | documentation Developer tools Productivity +1 | CN | 72 | ✓ | ✓ | |
| gitlab.com | GitLab | documentation Developer tools Infrastructure | 72 | ✓ |
Machine-readable: GET /v1/resolve?q=python-excel.org · GET /v1/domain/python-excel.org · this page as Accept: application/json or text/markdown · MCP lookup_domain
Automatically discovered from public files. Inclusion does not imply endorsement or publisher participation.
Own or manage this website?
If you own or manage python-excel.org, you can update its listing and review file health, discovery activity and score history.
Manage this listing — optional
What verification unlocks
See how your site is discovered—and control what agents see.
- Control what agents see
Edit your listing description, tags, public contact details and additional llms.txt paths. Publish your terms for automated access, attribution and pricing.
- Make your profile eligible for search
A valid, listed, unblocked, verified profile can appear in our publisher sitemap and become eligible for search-engine visibility. Search engines decide what to index and rank.
- Appear in our llms-full.txt
Eligible verified publishers are listed by name, with their file links and summaries, in the service overview agents can read.
Free. No account registration, backlink or payment required. Public discovery remains available without verification.
Let your coding agent verify it
If your coding agent is authorized to manage this website, paste these instructions into it.
Claim my listing on Agent Web Map for python-excel.org:
1. POST https://agentwebmap.com/v1/sites/python-excel.org/claims and keep claim_id and claim_secret private.
2. Publish the proof: add the line "AgentWebMap ownership: <token>" (token from step 1) to https://python-excel.org/llms.txt, or use the DNS, meta-tag or well-known method the response describes.
3. POST https://agentwebmap.com/v1/sites/python-excel.org/verify with {"claim_id": "...", "claim_secret": "..."}.
4. Save the api_key from the answer; it manages the listing (PATCH https://agentwebmap.com/v1/sites/python-excel.org).
MCP equivalent: tools begin_ownership_claim, then verify_domain, at https://agentwebmap.com/mcp. Docs: https://agentwebmap.com/docs#verifyCorrections or removal requests: contact the directory.