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Inferact/tpu-megakernels

A collection of megakernels for TPU

Python ◇ developer-tools Apache-2.0
★186STARS
⑂15FORKS
!1ISSUES
🏆#19,929GLOBAL RANK
🔥43DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

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

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), Inferact/tpu-megakernels has accumulated 186 GitHub stars and 15 forks. It is written in Python, licensed under Apache-2.0, and ranks #19,929 globally. It is actively maintained with the latest commit recorded on Oct 15, 2026.”
Repository Inferact/tpu-megakernels ↗
Primary Category developer tools
Language & Stack Python
Software License Apache-2.0
Community Traction ★ 186 stars · ⑂ 15 forks · #19,929 globally
Maintenance ● Active (Last commit: Oct 15, 2026) · 1 open issues
Target Audience Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 88/100 · Grade A
✅
Is tpu-megakernels actively maintained in 2026?
Verdict: Actively Maintained

Yes, tpu-megakernels is actively maintained. Continuous telemetry recorded the last code commit on Oct 15, 2026 (28 days ago). Supported by 186 stars and 15 community forks, this repository holds a calculated health index of 88/100, reflecting regular maintenance (28 days ago) and healthy issue cadence.

Commit Recency
Oct 15, 2026
28 days since last push
Issue Backlog
1 Open Issues
Healthy Issue Cadence
Community Backing
15 Forks
186 Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for Inferact/tpu-megakernels
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[![Featured on GitHubRepo.cloud](https://githubrepo.cloud/badge/Inferact/tpu-megakernels.svg?metric=featured)](https://githubrepo.cloud/repo/Inferact/tpu-megakernels?utm_source=readme_badge) [![GitHubRepo Stars](https://githubrepo.cloud/badge/Inferact/tpu-megakernels.svg?metric=stars)](https://githubrepo.cloud/repo/Inferact/tpu-megakernels?utm_source=readme_badge) [![GitHubRepo Velocity](https://githubrepo.cloud/badge/Inferact/tpu-megakernels.svg?metric=velocity)](https://githubrepo.cloud/repo/Inferact/tpu-megakernels?utm_source=readme_badge) [![Maintenance Health](https://githubrepo.cloud/badge/Inferact/tpu-megakernels.svg?metric=health)](https://githubrepo.cloud/repo/Inferact/tpu-megakernels?utm_source=readme_badge) [![Global Rank](https://githubrepo.cloud/badge/Inferact/tpu-megakernels.svg?metric=rank)](https://githubrepo.cloud/repo/Inferact/tpu-megakernels?utm_source=readme_badge)

Momentum

+36

STARS · LAST 30 DAYS

1

PER DAY

#2,634

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+36+36+90
Per day511
Forks gained+1+1+10

tpu-megakernels gained 36 stars in the last 30 days, about 1 a day, and now has 186. It is about 1 year old and has averaged roughly 186 stars a year. It ranks #2,634 among Python repositories and #19,929 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.

⇄ 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

Inferact/tpu-megakernels is currently ranked #19,929 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#19,882 edgehero/pi-dispatch JavaScript ★ 187 Compare ↗
#19,882 baishu136/OmniDownloader Kotlin ★ 187 Compare ↗
#19,882 ghuntley/underclass Rust ★ 187 Compare ↗
#19,882 Zhangweihui666/silver-tourism-digital-twin JavaScript ★ 187 Compare ↗
#19,882 huawei-csl/MACaQ C++ ★ 187 Compare ↗
#19,929 Inferact/tpu-megakernels This Project Python ★ 186
#19,929 pbakaus/transformie CSS ★ 186 Compare ↗
#19,929 f055/fedit-image-editor C++ ★ 186 Compare ↗
#19,929 wardencommunity/sinatra_warden Ruby ★ 186 Compare ↗
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Frequently Asked Questions

What does tpu-megakernels do? +

A collection of megakernels for TPU

Is tpu-megakernels actively maintained in 2026? +

Yes, tpu-megakernels is actively maintained. The latest code push was recorded on Oct 15, 2026 (28 days ago). It holds a calculated Maintenance Health Score of 88/100 (A rating) with 186 stars and 1 open issues.

What language is tpu-megakernels written in? +

The primary language is Python. Topics include: software.

How many stars does tpu-megakernels have? +

tpu-megakernels has 186 stars and 15 forks on GitHub.

How does tpu-megakernels rank among GitHub repositories? +

With 186 stars, Inferact/tpu-megakernels is ranked #19,929 globally across all repositories tracked on GitHubRepo and #2,634 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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