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Alexey-T
Home / Python / CudaText

Alexey-T/CudaText

Cross-platform text editor, written in Free Pascal

Python ◇ cross-platform MPL-2.0
★3.2KSTARS
⑂213FORKS
!40ISSUES
🏆#1,436GLOBAL RANK
🔥1DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for Alexey-T/CudaText
CSV

Momentum

+80

STARS · LAST 30 DAYS

3

PER DAY

#213

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+21+80+270
Per day333
Forks gained+1+4+11

CudaText gained 80 stars in the last 30 days, about 3 a day, and now has 3.2K. It is about 11 years old and has averaged roughly 291 stars a year. It ranks #213 among Python repositories and #1,436 across all languages on GitHubRepo.

Trending Record

CudaText has maintained a continuous presence across global trending indexes, peaking at #1923. Below is the 30-day activity profile:

💡 Overview

CudaText is an open-source project written in Python: Cross-platform text editor, written in Free Pascal.

Engineered for speed, consistency, and developer ease, it solves common hurdles in cross-platform, lazarus, pascal. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install CudaText

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

CudaText coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Production System Integration

Embed CudaText into Python backend services to handle core application logic.

CI/CD Automated Pipelines

Run automated validation, builds, and integration suites during deployments.

Developer Tooling & Workflows

Accelerate developer onboarding with pre-configured project utilities.

Open Source Extension

Fork and customize internal modules under the repository's open MPL-2.0 license.

🚀 Getting Started

1

Install CudaText using your package manager: `pip install CudaText`

2

Initialize your project workspace or configuration file for CudaText.

3

Import CudaText into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `CudaText --help` to verify successful setup.

👍 Strengths

Active community backing with 3,202 GitHub stars and verified adoption.
Permissive open-source distribution under the MPL-2.0 license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

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👥 Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

Alexey-T/CudaText is currently ranked #1,436 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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Frequently Asked Questions

What does CudaText do? +

Cross-platform text editor, written in Free Pascal

What language is CudaText written in? +

The primary language is Python. Topics include: cross-platform, lazarus, pascal, text-editor.

Is CudaText actively maintained? +

Yes, the last recorded push was on Sep 28, 2026 with 40 open issues being tracked.

How many stars does CudaText have? +

CudaText has 3,202 stars and 213 forks on GitHub.

How does CudaText rank among GitHub repositories? +

With 3,202 stars, Alexey-T/CudaText is ranked #1,436 globally across all repositories tracked on GitHubRepo and #213 among Python projects.

What license is CudaText distributed under? +

The repository reports a MPL-2.0 license. Always verify the repository LICENSE file for legal terms.

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