The request names "parso", which none of the candidate sources describe as a product; the closest match is Parsons AI 1, a consultancy, and the other candidates are parsing and developer tools that do not match a product called parso. Products are listed below by relevance to parsing and Python tooling.
A question back: Did you mean a specific product called parso (for example the Python parso parser library), or a parsing tool in general?
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NLTKnltk.orgverified and signed
A Python natural language toolkit offering tokenization, tagging and parsing for human language data 6.
for agents: parsing · NLP · tokenizing
Sources
- 1Parsons AI | AI Consulting, Cloud & Governmentparsons.ai · read 2026-10-29
- 2PLY (Python Lex-Yacc)dabeaz.com · read 2026-10-29
- 4Welcome! — Pygmentspygments.org · read 2026-10-29
- 6NLTK :: Natural Language Toolkitnltk.org · read 2026-10-29
For agents: the 10 actions behind this answer
· Parsons website read, tools not yet checked
Parsons AI is a San Diego AI shop: honest AI consulting and custom builds, the Parsons Cloud product suite, and software for the public sector. No hype.
· Dabeaz website read, tools not yet checked
python-pypi-package-builder · python-pypi-package-builder verified and signed
End-to-end skill for building, testing, linting, versioning, and publishing a production-grade Python library to PyPI. Covers all four build backends (setuptools+setuptools_scm, hatchling, flit, poetry), PEP 440 versioning, semantic versioning, dynamic git-tag versioning, OOP/SOLID design, type hint
syntax · Pygments verified and signed
parser · Protego verified and signed
parsing · nltk verified and signed
Execute Python in a sandbox · Pydantic verified and signed
Run Python code in a secure sandbox with access to Logfire platform helper functions for advanced analysis.
ruff · ruff verified and signed
Guide for using ruff, the extremely fast Python linter and formatter. Use this when linting, formatting, or fixing Python code.
typechecker · pyrefly verified and signed
sagemaker-ai · sagemaker-ai verified and signed
Build, train, and deploy AI models with deep AWS AI/ML expertise brought directly into your coding assistants, covering the surface area of Amazon SageMaker AI.
Labels are the instruments' verdict and are never changed by ranking. Agents and robots get this same answer as JSON at /api/v1/find?q=…&answer=1 and through the MCP server.