# EasyIME/PIME

Develop input methods for Windows easily with Python and node.js

Repository: https://github.com/EasyIME/PIME
Canonical: https://ross.abutalabs.com/products/pime
Language: C++
License: NOASSERTION
License Family: other
Topics: ime, chinese, windows-10, tsf
Last push: 2026-07-25T22:48:23+00:00

## Health v2 (maintenance only)
Score: 65/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 94, release rhythm 8, longevity 100
- inputs: {"age_days": 4389, "days_push": 39, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1467, forks 243 (observed 2026-08-28T04:04:48.706090+00:00)

## What it is
PIME is a framework for developing Windows input method editors (IMEs) using Python and Node.js backends on top of the Windows Text Services Framework (TSF). It includes LibIME, a TSF wrapper library, and a backbone text service implementation.

## Use cases
- create a custom Chinese input method for Windows
- develop a Windows IME without writing raw COM/TSF code
- build a Bopomofo or phonetic input method
- implement a text input service for Windows 10/11
- prototype input method logic in Python

## When to choose
- you need to build a custom input method editor for Windows
- you want to implement TSF text services with higher-level languages like Python or Node.js
- you are developing Chinese or other CJK input methods

## When to avoid
- you need input methods for macOS or Linux
- you want a ready-to-use input method rather than a development framework
- your project must avoid LGPL-licensed components

## Facets
- artifact type: framework
- maturity: active
- function: sdk, developer-tools, internationalization
- domain: developer-tools, windows
- platform: windows, cpp, python, rust
- tags: ime, input-method, tsf, text-services-framework, chinese-input, localization, nodejs

## Member repositories
- EasyIME/PIME (main) score 65

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:48.706090+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:34:57.947869+00:00, confidence not recorded.
  - readme: https://github.com/EasyIME/PIME (fetched 2026-08-28T04:04:48.706090+00:00, sha fe7dc28eae12)
- Data as of 2026-08-30T08:39:29.467469+00:00.