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tchaikov
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tchaikov/open-gram

collect lexicon and build n-gram dataset for NLP in Chinese

★9STARS
⑂1FORKS
!0ISSUES
🏆#21,063GLOBAL RANK
🔥24DAYS TRENDING
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#2,663

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+10+90
Per day111
Forks gained+0+3+10

open-gram gained 10 stars in the last 30 days, about 1 a day, and now has 9. It is about 17 years old and has averaged roughly 1 stars a year. It ranks #2,663 among Python repositories and #21,063 across all languages on GitHubRepo.

Trending Record

open-gram has maintained a continuous presence across global trending indexes, peaking at #100. Below is the 30-day activity profile:

💡 Overview

open-gram is an open-source project written in Python: collect lexicon and build n-gram dataset for NLP in Chinese.

Engineered for speed, consistency, and developer ease, it solves common hurdles in Python. 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 open-gram

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

open-gram 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 open-gram 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 source license.

🚀 Getting Started

1

Install open-gram using your package manager: `pip install open-gram`

2

Initialize your project workspace or configuration file for open-gram.

3

Import open-gram into your codebase or invoke it directly from your terminal.

4

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

👍 Strengths

Active community backing with 9 GitHub stars and verified adoption.
Permissive open-source distribution under the Open Source 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.

⇄ Alternatives & Direct Competitors

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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

tchaikov/open-gram is currently ranked #21,063 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#20,758 jstrachan/webbytest Scala ★ 10 Compare ↗
#20,758 terrbear/lovehate Ruby ★ 10 Compare ↗
#20,758 jadb/jquery-github JavaScript ★ 10 Compare ↗
#20,758 zombor/Simple-Photo-Gallery PHP ★ 10 Compare ↗
#20,758 quangshuynh/scribekit Swift ★ 10 Compare ↗
#21,063 tchaikov/open-gram This Project Python ★ 9
#21,063 jnewland/votigoto Ruby ★ 9 Compare ↗
#21,063 JackDanger/cached_values Ruby ★ 9 Compare ↗
#21,063 jrun/rstack Ruby ★ 9 Compare ↗
#21,063 chuyeow/can_has_cached Ruby ★ 9 Compare ↗
#21,063 ianloic/wordpress-svn PHP ★ 9 Compare ↗
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Frequently Asked Questions

What does open-gram do? +

collect lexicon and build n-gram dataset for NLP in Chinese

What language is open-gram written in? +

The primary language is Python. Topics include: software.

Is open-gram actively maintained? +

Yes, the last recorded push was on Jul 21, 2010 with 0 open issues being tracked.

How many stars does open-gram have? +

open-gram has 9 stars and 1 forks on GitHub.

How does open-gram rank among GitHub repositories? +

With 9 stars, tchaikov/open-gram is ranked #21,063 globally across all repositories tracked on GitHubRepo and #2,663 among Python projects.

What license is open-gram distributed under? +

No SPDX license identified yet. Code without a license is subject to copyright by default.

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