$npx skillfedfor your agent

proces

text preprocess.

With conditionsPyPI Text ProcessingReleased Sep 2023284.1K downloads / moMIT LicensePure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — proces-0.1.7-py3-none-any.whl
v0.1.7 · released 2023-09-09 · Python >=3.6

Yes, if you need lightweight Chinese text preprocessing with no external dependencies and can tolerate dormant maintenance. The library is small, permissively licensed, and handles common normalization tasks. No, if you require active maintenance, bug fixes, or support for edge cases—the last update was 2023-09-09. Consider it a stable utility for straightforward preprocessing rather than a foundation for production systems.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.6 or later.
  • Installation is straightforward with no runtime dependencies.
  • The package is dormant—last updated 2023-09-09, over a year ago—so expect no active maintenance or bug fixes going forward.

License · maintenance · safety

MIT License (permissive) — MIT License permits free use, modification, and distribution with minimal restrictions, making it safe to adopt from a licensing standpoint.

last release 2023-09-09 (1070 days) · last repo commit 2023-09-09 · 5 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 284,077 downloads/mo, #8,069 on PyPI

Verify before relying

pip install proces

from proces import preprocess
result = preprocess("Today, 你 幹 什 麼 !")
# result: today,你干什么!
  • Whether the package handles edge cases in Chinese character conversion reliably, given dormant maintenance status.
  • Performance characteristics on large text corpora or streaming input.
  • Completeness of the sensitive information masking (phone, address) against real-world formats.
Same gist for agents: .md · .json

What it is and what it does

Proces is a text preprocessing library focused on cleaning and normalizing text, particularly for Chinese language content. It provides a pipeline-based approach where you can apply transformations in sequence—such as removing whitespace, converting uppercase to lowercase, converting traditional Chinese characters to simplified, and converting full-width punctuation to half-width—or select individual transformations as needed. The library also includes utilities for masking sensitive information like phone numbers and addresses.

The package has no external runtime dependencies, making installation lightweight. However, it has been dormant since 2023-09-09, with no recent commits or active maintenance. It supports Python 3.6 through 3.9 and is positioned as a utility for developers working with Chinese text or building preprocessing pipelines that require basic text normalization steps.

Use it for

  • Normalize mixed-case, mixed-width Chinese text before feeding it into NLP models or search systems.
  • Remove or mask personally identifiable information like phone numbers and addresses from user-generated text.
  • Clean whitespace and standardize punctuation in Chinese documents as a preprocessing step for text analysis.
  • Convert traditional Chinese characters to simplified form in bulk text processing workflows.
  • Build a text cleaning pipeline by composing individual transformation functions for domain-specific preprocessing.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

With conditions

Yes, if you need lightweight Chinese text preprocessing with no external dependencies and can tolerate dormant maintenance.

The library is small, permissively licensed, and handles common normalization tasks. No, if you require active maintenance, bug fixes, or support for edge cases—the last update was 2023-09-09. Consider it a stable utility for straightforward preprocessing rather than a foundation for production systems.

Install

proces on PyPI

Before you install

Installation is straightforward with no runtime dependencies. The package is dormant—last updated 2023-09-09, over a year ago—so expect no active maintenance or bug fixes going forward.

Requires Python 3.6 or later.

License in practice

MIT License permits free use, modification, and distribution with minimal restrictions, making it safe to adopt from a licensing standpoint.

Quickstart

pip install proces

from proces import preprocess
result = preprocess("Today, 你 幹 什 麼 !")
# result: today,你干什么!

Verify before relying

  • Whether the package handles edge cases in Chinese character conversion reliably, given dormant maintenance status.
  • Performance characteristics on large text corpora or streaming input.
  • Completeness of the sensitive information masking (phone, address) against real-world formats.

Package facts

LicenseMIT License permissive
Python supportSupports the current Python release >=3.6
Install frictionLow. Pure-Python wheel
Runtime dependenciesNone
MaintenanceDormant 1,070 days since the last release
Last repo commit
First released
Downloads284,077 / month, #8,069 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
License :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3Programming Language :: Python :: 3.6Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9

Evidence: proces-0.1.7-py3-none-any.whl

Tags

Capabilities
text preprocessingchinese text normalizationwhitespace handlingcharacter conversionsensitive data maskingtext cleaningunicode normalization
Topics
chinese-texttext-normalization

Let your AI agent find packages like this

Example. Real query, live index.

You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.

wish › “chinese text normalization”

  • procesProces provides text preprocessing functions for cleaning and…
  • wetextNormalizes and denormalizes text in Chinese, English, and Japanese…
  • opencc-python-reimplementedConverts text between Simplified Chinese, Traditional Chinese, and…

Give your agent the search over MCP, or paste the wish link into any chat.

More Text Processing packages

regex Worth it
PyPI · Python Modules · released Jul 2026

A drop-in replacement for Python's standard `re` module that adds advanced regex features like nested sets, fuzzy matching, lookaround in conditionals, and full Unicode case-folding while maintaining backward compatibility.

Apache-2.0 AND CNRI-Pythoncompiled wheel · 3.10+
437.7Mdownloads / mo
pyparsing Worth it
PyPI · Text Processing · released Jan 2026

pyparsing provides a library for building text parsers directly in Python code using composable grammar classes, handling quoted strings, whitespace variation, and embedded comments without regex or lex/yacc.

Install it if you need to parse text or define grammars programmatically.

MITpure Python · 3.9+
412.7Mdownloads / mo
fonttools Worth it
PyPI · Text Processing · released May 2026

fonttools manipulates font files in multiple formats (TrueType, OpenType, AFM, Type 1, Mac-specific) and includes TTX, a tool to convert fonts to and from XML text format.

Install it if you need to read, write, or manipulate fonts programmatically or via the TTX command-line tool.

permissive licensepure Python · 3.10+
235.9Mdownloads / mo
docutils With conditions
PyPI · Software Development · released May 2026

Docutils converts plaintext documentation in reStructuredText format into multiple output formats including HTML, XML, and LaTeX using a modular processing system.

BSD-3-Clausepure Python · 3.9+
225.6Mdownloads / mo
RapidFuzz Worth it
PyPI · Text Processing · released Apr 2026

RapidFuzz provides fast fuzzy string matching using Levenshtein Distance and related metrics, implemented mostly in C++ with Python bindings for rapid similarity scoring and approximate string matching.

Install it if you need fuzzy string matching; it's a solid replacement for FuzzyWuzzy with better licensing and performance.

MITcompiled wheel · 3.10+
184.2Mdownloads / mo
tinycss2 Worth it
PyPI · Text Processing · released Nov 2025

tinycss2 parses CSS strings into token and block objects, and generates CSS strings from those objects, following the CSS Syntax Level 3 specification without enforcing specific properties or values.

Install it if your project requires CSS tokenization or syntax manipulation.

BSD-3-Clausepure Python · 3.10+
113.2Mdownloads / mo

See also normality · tensorflow-text · wetext · clean-text · html-text · cn2an · mojimoji · pyjanitor · anyascii · jaconv