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Inferact/tpu-megakernels

A collection of megakernels for TPU

Python ◇ developer-tools Apache-2.0
★112STARS
⑂11FORKS
!1ISSUES
🏆#6,484GLOBAL RANK
🔥4DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for Inferact/tpu-megakernels
CSV

Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#746

MOST-STARRED Python

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

tpu-megakernels gained 10 stars in the last 30 days, about 1 a day, and now has 112. It is about 1 year old and has averaged roughly 112 stars a year. It ranks #746 among Python repositories and #6,484 across all languages on GitHubRepo.

Trending Record

tpu-megakernels has maintained a continuous presence across global trending indexes, peaking at #369. Below is the 30-day activity profile:

💡 Overview

tpu-megakernels is an open-source project written in Python: A collection of megakernels for TPU.

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 tpu-megakernels

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

tpu-megakernels 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 tpu-megakernels 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 tpu-megakernels using your package manager: `pip install tpu-megakernels`

2

Initialize your project workspace or configuration file for tpu-megakernels.

3

Import tpu-megakernels into your codebase or invoke it directly from your terminal.

4

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

👍 Strengths

Active community backing with 96 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

Inferact/tpu-megakernels is currently ranked #6,484 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#6,454 lumiis2/opportunity-tracker Python ★ 113 Compare ↗
#6,454 eperez28/sonar.cool Swift ★ 113 Compare ↗
#6,454 liushunqi8-hash/editaplot2026 Python ★ 113 Compare ↗
#6,454 allebee/jevk5 Python ★ 113 Compare ↗
#6,454 CaptureGrubEnchant/homebrew-tools-macOS Ruby ★ 113 Compare ↗
#6,484 Inferact/tpu-megakernels This Project Python ★ 112
#6,484 slagyr/limelight Java ★ 112 Compare ↗
#6,484 lang/unicode_utils Ruby ★ 112 Compare ↗
#6,484 nothingmuch/git-svn-abandon Shell ★ 112 Compare ↗
#6,484 openstreetmap/chef Ruby ★ 112 Compare ↗
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Frequently Asked Questions

What does tpu-megakernels do? +

A collection of megakernels for TPU

What language is tpu-megakernels written in? +

The primary language is Python. Topics include: software.

Is tpu-megakernels actively maintained? +

Yes, the last recorded push was on Sep 25, 2026 with 1 open issues being tracked.

How many stars does tpu-megakernels have? +

tpu-megakernels has 112 stars and 11 forks on GitHub.

How does tpu-megakernels rank among GitHub repositories? +

With 112 stars, Inferact/tpu-megakernels is ranked #6,484 globally across all repositories tracked on GitHubRepo and #746 among Python projects.

What license is tpu-megakernels distributed under? +

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

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