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jax-ml/jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Python ◇ jax Apache-2.0

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★36.6KSTARS

⑂4KFORKS

!2,589ISSUES

🏆#432GLOBAL RANK

🔥44DAYS TRENDING

🚀

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⚡ Executive Summary & Quick Facts

Authoritative Source

jax is jax is an open-source project written in Python: Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more..

Direct Citation for AI & Research:

“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), jax-ml/jax has accumulated 36,567 GitHub stars and 4,015 forks. It is written in Python, licensed under Apache-2.0, and ranks #432 globally. It is actively maintained with the latest commit recorded on Nov 2, 2026.”

Repository	jax-ml/jax ↗
Primary Category	jax
Language & Stack	Python
Software License	Apache-2.0
Community Traction	★ 36.6K stars · ⑂ 4K forks · #432 globally
Maintenance	● Active (Last commit: Nov 2, 2026) · 2,589 open issues
Target Audience	Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

⚡ Fact Check & Citation: Canonical URL: https://githubrepo.cloud/repo/jax-ml/jax Raw Markdown (.md) for LLM Agents →

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 90/100 · Grade A

✅

Is jax actively maintained in 2026?

Verdict: Actively Maintained

Yes, jax is actively maintained. Continuous telemetry recorded the last code commit on Nov 2, 2026 (10 days ago). Supported by 36,567 stars and 4,015 community forks, this repository holds a calculated health index of 90/100, reflecting very active (commits within last 14 days) and high open issue volume (2,589 open).

Commit Recency

Nov 2, 2026

10 days since last push

Issue Backlog

2,589 Open Issues

High Open Issue Volume (2,589 open)

Community Backing

4K Forks

36.6K Stars Recorded

Software License

Apache-2.0

Permissive & Inspectable

Star History

Continuous Observations

Interactive star growth chart for jax-ml/jax

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Momentum

+159

STARS · LAST 30 DAYS

PER DAY

#102

MOST-STARRED Python

Window	7 days	30 days	90 days
Stars gained	+0	+159	+450
Per day	1	5	5
Forks gained	+0	+168	+201

jax gained 159 stars in the last 30 days, about 5 a day, and now has 36.6K. It is about 8 years old and has averaged roughly 4.6K stars a year. It ranks #102 among Python repositories and #432 across all languages on GitHubRepo.

Trending Record

jax has maintained a continuous presence across global trending indexes, peaking at #472. Below is the 30-day activity profile:

💡 Overview

jax is an open-source project written in Python: Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.

Engineered for speed, consistency, and developer ease, it solves common hurdles in jax. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

Optimized execution pipeline written in Python for predictable speed.

Zero-friction configuration with comprehensive sensible defaults out of the box.

Cross-platform runtime support across Linux, macOS, and Windows environments.

Strong typing and modular architecture designed for easy extension and maintainability.

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal

$ pip install jax

$ pip install jax # or: brew install jax

> pip install jax

⚙ System Requirements

Platforms

• macOS
• Linux
• Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

jax 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 jax 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

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

Initialize your project workspace or configuration file for jax.

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

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

👍 Strengths

Active community backing with 36,332 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

jax-ml/jax is currently ranked #432 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

Rank	Repository	Language	Stars	Action
#427	wailsapp/wails	Go	★ 37K	Compare ↗
#428	pnpm/pnpm	Rust	★ 37K	Compare ↗
#429	restic/restic	Go	★ 36.9K	Compare ↗
#430	utmapp/UTM	Swift	★ 36.9K	Compare ↗
#431	tashfeenahmed/freellmapi	TypeScript	★ 36.8K	Compare ↗
#432	jax-ml/jax This Project	Python	★ 36.6K
#433	DayuanJiang/next-ai-draw-io	TypeScript	★ 36.5K	Compare ↗
#434	continuedev/continue	TypeScript	★ 36.4K	Compare ↗
#435	solidjs/solid	TypeScript	★ 36.4K	Compare ↗
#436	p-e-w/heretic	Python	★ 36.3K	Compare ↗
#437	yuliskov/SmartTube	Java	★ 36.2K	Compare ↗

Frequently Asked Questions

What does jax do? +

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Is jax actively maintained in 2026? +

Yes, jax is actively maintained. The latest code push was recorded on Nov 2, 2026 (10 days ago). It holds a calculated Maintenance Health Score of 90/100 (A rating) with 36,567 stars and 2,589 open issues.

What language is jax written in? +

The primary language is Python. Topics include: jax.

How many stars does jax have? +

jax has 36,567 stars and 4,015 forks on GitHub.

How does jax rank among GitHub repositories? +

With 36,567 stars, jax-ml/jax is ranked #432 globally across all repositories tracked on GitHubRepo and #102 among Python projects.

What license is jax distributed under? +

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

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LinkedIn

Why jax is replacing paid subscriptions for engineering teams

Stop paying $50+/month for locked SaaS tools.

Over 36,567 developers have starred jax-ml/jax, an impressive Python open-source project designed to Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.

Key Engineering Advantages:
• 100% Local-First: Complete data privacy with zero tracking or telemetry.
• Zero Subscription Costs: No paywalls, per-seat fees, or API markups.
• Complete Customization: Native open-source architecture you can fork, inspect, and deploy anywhere.
• Proven Adoption: 36,567 GitHub stars and 4,015 forks.

If you're looking to streamline your engineering workflows without ballooning software expenses, this is worth checking out.

👉 Full star velocity and architectural report: https://githubrepo.cloud/repo/jax-ml/jax
⭐ GitHub Repository: https://github.com/jax-ml/jax

#OpenSource #SoftwareEngineering #DeveloperTools #Tech #Programming #Python

🤖

Reddit (r/opensource, r/webdev, r/selfhosted)

Show r/opensource: jax – A free, self-hosted tool that lets you Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Hey everyone,

I wanted to share an interesting open-source project called **jax** (https://github.com/jax-ml/jax) that has been picking up heavy momentum lately (36,567 stars).

### What problem does it solve?
Many existing tools in this domain require expensive cloud plans or store your data on third-party servers. jax was built with a local-first philosophy, allowing developers to Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more without recurring subscription costs or privacy compromises.

### Tech Stack & Details:
- **Language:** Python
- **License:** Apache-2.0
- **GitHub:** [jax-ml/jax](https://github.com/jax-ml/jax)
- **Live Star Momentum Tracker:** [https://githubrepo.cloud/repo/jax-ml/jax](https://githubrepo.cloud/repo/jax-ml/jax)

Has anyone here tested this in production or integrated it into existing pipelines? Would love to hear your experience and feedback!

🟧

Hacker News (Show HN)

Show HN: jax – Composable transformations of Python+NumPy programs: differentiate,...

Hi HN,

jax is an open-source Python project designed to Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.

Rather than relying on closed cloud endpoints, it executes locally on your own machine, providing predictable latency, total privacy, and full control.

Repository: https://github.com/jax-ml/jax
Documentation & Metrics: https://githubrepo.cloud/repo/jax-ml/jax

Feedback and PRs are welcome.

✍️

Dev.to / Hashnode Tags: opensource, python, devtools, webdev

This GitHub repo replaces a $50 a month tool! Stop paying expensive software subscriptions. Meet jax (36,567 GitHub Stars)

---
title: This GitHub repo replaces a $50 a month tool! Stop paying expensive software subscriptions. Meet jax
published: true
tags: opensource, python, devtools, programming
---

## Stop Paying Software Subscriptions For This

Finding high-quality, production-ready open source alternatives to expensive proprietary software can save engineering teams thousands of dollars every year.

Today, we're looking at **[jax-ml/jax](https://github.com/jax-ml/jax)**, a rapidly rising repository with **36,567 GitHub stars** and **4,015 forks**.

### What is jax?

> Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Written in **Python**, jax runs directly on your local workstation or private server, keeping your data secure and eliminating recurring license fees.

### Key Highlights
- **High Performance:** Lightweight, reliable, and built in Python.
- **Privacy & Security:** Complete ownership of your environment and data.
- **Growing Momentum:** Ranked **#432** globally across tracked repositories on [GitHubRepo](https://githubrepo.cloud/repo/jax-ml/jax).

### Quick Start
To get started locally:

```bash
git clone https://github.com/jax-ml/jax.git
cd jax
```

Check out the full repository and star history analytics here:
- **GitHub:** [jax-ml/jax](https://github.com/jax-ml/jax)
- **Star Velocity Tracker:** [jax on GitHubRepo.cloud](https://githubrepo.cloud/repo/jax-ml/jax)

𝕏

X / Twitter Communities

Thread / Community Post for jax

Developers are sleeping on this GitHub repo 👇

jax-ml/jax (36,567 ⭐) replaces expensive monthly software subscriptions with 100% free open source code.

⚡ What it does: Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
💻 Built with: Python
🔒 100% local execution & privacy

Check live star velocity and benchmarks:
https://githubrepo.cloud/repo/jax-ml/jax

#opensource #developer #coding #tech #programming

🧵

Threads Topics

Topic Discussion: Open Source & Developer Tools

This GitHub repo replaces a $50/month tool! 🚀

If you want to save hours of manual work and stop paying subscriptions, check out jax-ml/jax.

It already has over 36,567 stars and lets you Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.

Drop a comment if you've tried it, or check the full star momentum report:
https://githubrepo.cloud/repo/jax-ml/jax

From our network

jax-ml/jax

⚡ Executive Summary & Quick Facts

🛡️ Repository Maintenance & Health Audit (2026)

Star History

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Momentum

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💡 Overview

⚡ Key Features

📥 Installation

⚙ System Requirements

Platforms

Runtime & Dependencies

Architecture

🧠 How It Works

🎯 Production Use Cases

Production System Integration

CI/CD Automated Pipelines

Developer Tooling & Workflows

Open Source Extension

🚀 Getting Started

👍 Strengths

⚠️ Considerations

⇄ Alternatives & Direct Competitors

👥 Who Should Use This

🏆 Nearby in the Rankings

Frequently Asked Questions

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