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google/grain

Library for reading and processing ML training data.

Python ◇ data-pr Apache-2.0
★783STARS
⑂86FORKS
!154ISSUES
🏆#2,969GLOBAL RANK
🔥4DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for google/grain
CSV

Momentum

+20

STARS · LAST 30 DAYS

1

PER DAY

#372

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+20+90
Per day111
Forks gained+1+3+10

grain gained 20 stars in the last 30 days, about 1 a day, and now has 783. It is about 4 years old and has averaged roughly 196 stars a year. It ranks #372 among Python repositories and #2,969 across all languages on GitHubRepo.

Trending Record

grain has maintained a continuous presence across global trending indexes, peaking at #1804. Below is the 30-day activity profile:

💡 Overview

grain is an open-source project written in Python: Library for reading and processing ML training data.

Engineered for speed, consistency, and developer ease, it solves common hurdles in data-pr, jax, machine-learning. 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 grain

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

grain 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 grain 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 Apache-2.0 license.

🚀 Getting Started

1

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

2

Initialize your project workspace or configuration file for grain.

3

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

4

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

👍 Strengths

Active community backing with 782 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-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

google/grain is currently ranked #2,969 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#2,962 getomnico/omni Rust ★ 788 Compare ↗
#2,965 TeamWheelWizard/WheelWizard C# ★ 787 Compare ↗
#2,966 erik-megarad/negative-captcha Ruby ★ 786 Compare ↗
#2,966 Jakeschincariol/linkedin-agent-skill Python ★ 786 Compare ↗
#2,966 volotat/mini-AGI Python ★ 786 Compare ↗
#2,969 google/grain This Project Python ★ 783
#2,969 sarensw/MacPacker Swift ★ 783 Compare ↗
#2,971 AlanQuatermain/aqtoolkit Objective-C ★ 782 Compare ↗
#2,971 yegor256/cactoos Java ★ 782 Compare ↗
#2,973 Fody/MethodTimer C# ★ 781 Compare ↗
#2,973 Consensys-Incorporated/teku Java ★ 781 Compare ↗

Frequently Asked Questions

What does grain do? +

Library for reading and processing ML training data.

What language is grain written in? +

The primary language is Python. Topics include: data-pr, jax, machine-learning, python.

Is grain actively maintained? +

Yes, the last recorded push was on Sep 27, 2026 with 154 open issues being tracked.

How many stars does grain have? +

grain has 783 stars and 86 forks on GitHub.

How does grain rank among GitHub repositories? +

With 783 stars, google/grain is ranked #2,969 globally across all repositories tracked on GitHubRepo and #372 among Python projects.

What license is grain distributed under? +

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

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