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no-magic-ai
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no-magic-ai/no-magic

Because `model.fit()` isn't an explanation

Python ◇ ai-algorithms MIT
★1.4KSTARS
⑂106FORKS
!1ISSUES
🏆#3,989GLOBAL RANK
🔥1DAYS TRENDING
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Momentum

+36

STARS · LAST 30 DAYS

1

PER DAY

#549

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+36+90
Per day111
Forks gained+1+3+10

no-magic gained 36 stars in the last 30 days, about 1 a day, and now has 1.4K. It is about 1 year old and has averaged roughly 1.4K stars a year. It ranks #549 among Python repositories and #3,989 across all languages on GitHubRepo.

Trending Record

no-magic has maintained a continuous presence across global trending indexes, peaking at #5006. Below is the 30-day activity profile:

💡 Overview

no-magic is an open-source project written in Python: Because `model.fit()` isn't an explanation.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-algorithms, algorithms, no-dependencies. 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 no-magic

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

no-magic 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

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with no-magic.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install no-magic using your package manager: `pip install no-magic`

2

Initialize your project workspace or configuration file for no-magic.

3

Import no-magic into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `no-magic --help` to verify successful setup.

👍 Strengths

Active community backing with 1,429 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT 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

no-magic-ai/no-magic is currently ranked #3,989 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
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#3,986 rubyzip/rubyzip Ruby ★ 1.4K Compare ↗
#3,986 CliMA/Oceananigans.jl Julia ★ 1.4K Compare ↗
#3,989 no-magic-ai/no-magic This Project Python ★ 1.4K
#3,989 mongodb/mongo-ruby-driver Ruby ★ 1.4K Compare ↗
#3,989 stripe/stripe-react-native TypeScript ★ 1.4K Compare ↗
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Frequently Asked Questions

What does no-magic do? +

Because `model.fit()` isn't an explanation

What language is no-magic written in? +

The primary language is Python. Topics include: ai-algorithms, algorithms, no-dependencies, open-soruce.

Is no-magic actively maintained? +

Yes, the last recorded push was on Oct 6, 2026 with 1 open issues being tracked.

How many stars does no-magic have? +

no-magic has 1,429 stars and 106 forks on GitHub.

How does no-magic rank among GitHub repositories? +

With 1,429 stars, no-magic-ai/no-magic is ranked #3,989 globally across all repositories tracked on GitHubRepo and #549 among Python projects.

What license is no-magic distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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