# Alexey-T/CudaText

Cross-platform text editor, written in Free Pascal

Repository: https://github.com/Alexey-T/CudaText
Canonical: https://ross.abutalabs.com/products/cudatext
Language: Python
License: MPL-2.0
License Family: copyleft
Topics: lazarus, text-editor, pascal, cross-platform
Last push: 2026-08-26T15:43:55+00:00

## Health v2 (maintenance only)
Score: 99/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 99, longevity 100
- inputs: {"age_days": 3998, "days_push": 7, "days_rel": 9, "gap_med": 16.0, "n_releases_24m": 43}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3166, forks 211 (observed 2026-08-28T04:07:46.691301+00:00)

## What it is
CudaText is an open source, cross-platform text editor written in Free Pascal using Lazarus. It supports a Python-based plugin API for extensibility and ships with syntax highlighting and many editor features.

## Use cases
- lightweight code editor for linux
- sublime text alternative open source
- text editor with python plugin api
- edit large files fast
- cross-platform editor written in pascal
- syntax highlighting editor for windows

## When to choose
- you want a fast, lightweight native editor across Windows/macOS/Linux
- you want Sublime-like editing with Python plugin extensibility
- you prefer open source over proprietary editors

## When to avoid
- you need deep IDE features like full refactoring and integrated debugging
- your workflow depends on VS Code extension ecosystem
- you need an editor scriptable in JavaScript/Lua rather than Python

## Facets
- artifact type: application
- maturity: active
- function: editor, plugin-system, developer-tools
- domain: text-editors, developer-tools, cross-platform
- platform: windows, cross-platform
- tags: free-pascal, lazarus, syntax-highlighting, python-plugins, sublime-text-alternative, linux, macos, desktop

## Member repositories
- Alexey-T/CudaText (main) score 99

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:46.691301+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 2026-08-30T07:25:09.805619+00:00, confidence not recorded.
  - readme: https://github.com/Alexey-T/CudaText (fetched 2026-08-28T04:07:46.691301+00:00, sha 87662d6fa66c)
- Data as of 2026-08-30T08:39:29.467469+00:00.