Built something? We create video reels & spotlights for GitHub projects.Promote your project →

Go to README(https://github.com/tkotani/test#ecalj-). The quasiparticle self-consistent GW method in the L(APW+MTO)=PMT method.

Jupyter Notebook ◇ developer-tools
★2STARS
⑂0FORKS
!0ISSUES
🏆#17,198GLOBAL RANK
🔥20DAYS TRENDING
🚀
Maintainer Growth Kit for test

Claim this project, add your verified backlink badge to your README, and download milestone cards.

Claim Repo

Star History

Continuous Observations
Interactive star growth chart for tkotani/test
CSV
⭐ VIRAL README KIT

Add Live Star History & Verified Badges to README.md

Keep your repository README looking professional and dynamic. As our continuous crawler records new stars, these official SVG badges update in real time with zero maintenance.

Open README on GitHub ↗
Option 1: Interactive Star History Chart Dynamic SVG

Renders your high-resolution star trajectory chart right inside your GitHub README or project docs.

tkotani/test Star History Preview
markdown
[![Star History Chart](https://githubrepo.cloud/api/badge/chart/tkotani/test.svg?theme=dark)](https://githubrepo.cloud/repo/tkotani/test?utm_source=readme_chart)
Direct SVG Link ↗
Option 2: Verified Shields Badges Shields.io Style

Compact Shields-style badges for your README header. Shows real-time stars and global ranking.

Featured badge Stars badge Rank badge
markdown (badge trio)
[![Featured on GitHubRepo.cloud](https://githubrepo.cloud/badge/tkotani/test.svg?metric=featured)](https://githubrepo.cloud/repo/tkotani/test?utm_source=readme_badge) [![GitHubRepo Stars](https://githubrepo.cloud/badge/tkotani/test.svg?metric=stars)](https://githubrepo.cloud/repo/tkotani/test?utm_source=readme_badge) [![Global Rank](https://githubrepo.cloud/badge/tkotani/test.svg?metric=rank)](https://githubrepo.cloud/repo/tkotani/test?utm_source=readme_badge)

Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#12

MOST-STARRED Jupyter Notebook

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

test gained 10 stars in the last 30 days, about 1 a day, and now has 2. It is about 17 years old and has averaged roughly 0 stars a year. It ranks #12 among Jupyter Notebook repositories and #17,198 across all languages on GitHubRepo.

Trending Record

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

💡 Overview

test is an open-source project written in Jupyter Notebook: Go to README(https://github.com/tkotani/test#ecalj-). The quasiparticle self-consistent GW method in the L(APW+MTO)=PMT method.

Engineered for speed, consistency, and developer ease, it solves common hurdles in Jupyter Notebook. 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 Jupyter Notebook 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
$ git clone https://github.com/tkotani/test.git
cd test

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Jupyter Notebook environment and standard tooling

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

test coordinates its core functionality through a modular Jupyter Notebook 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 test into Jupyter Notebook 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 test using your package manager: `git clone https://github.com/tkotani/test.git`

2

Initialize your project workspace or configuration file for test.

3

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

4

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

👍 Strengths

Active community backing with 2 GitHub stars and verified adoption.
Permissive open-source distribution under the Open Source license.
Built in Jupyter Notebook 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 Jupyter Notebook 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

G
microsoft/generative-ai-for-beginners ★ 120.7K Jupyter Notebook

21 Lessons, Get Started Building with Generative AI

Compare ↗
A
microsoft/AI-For-Beginners ★ 69.2K Jupyter Notebook

12 Weeks, 24 Lessons, AI for All!

Compare ↗
L
pathwaycom/llm-app ★ 58.9K Jupyter Notebook

Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.

Compare ↗
Q
QwenLM/Qwen3-VL ★ 20K Jupyter Notebook

Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.

Compare ↗

👥 Who Should Use This

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

🏆 Nearby in the Rankings

tkotani/test is currently ranked #17,198 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#15,961 matschaffer/mechaflickr Ruby ★ 3 Compare ↗
#15,961 gnu-lorien/crapvine Python ★ 3 Compare ↗
#15,961 francois/fogbugz-svnhook — ★ 3 Compare ↗
#15,961 anildigital/getfake Ruby ★ 3 Compare ↗
#15,961 mudge/blankable Ruby ★ 3 Compare ↗
#17,198 tkotani/test This Project Jupyter Notebook ★ 2
#17,198 pdsphil/ruby-merlin Ruby ★ 2 Compare ↗
#17,198 daaku/tempdir Ruby ★ 2 Compare ↗
#17,198 morgs/poll-builder Python ★ 2 Compare ↗
#17,198 locusf/monotooth HTML ★ 2 Compare ↗
#17,198 xman/utility Shell ★ 2 Compare ↗

Frequently Asked Questions

What does test do? +

Go to README(https://github.com/tkotani/test#ecalj-). The quasiparticle self-consistent GW method in the L(APW+MTO)=PMT method.

What language is test written in? +

The primary language is Jupyter Notebook. Topics include: software.

Is test actively maintained? +

Yes, the last recorded push was on Feb 7, 2024 with 0 open issues being tracked.

How many stars does test have? +

test has 2 stars and 0 forks on GitHub.

How does test rank among GitHub repositories? +

With 2 stars, tkotani/test is ranked #17,198 globally across all repositories tracked on GitHubRepo and #12 among Jupyter Notebook projects.

What license is test distributed under? +

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

From our network
FOR MAINTAINERS

Built something? Put it in front of millions of developers.

We make a short reel about your project and post it across YouTube, Instagram, Threads, and X. Send a link, we do the rest.