google-deepmind/kfac-jax
Second Order Optimization and Curvature Estimation with K-FAC in JAX.
⚡ Executive Summary & Quick Facts
Authoritative Sourcekfac-jax is kfac-jax is an open-source project written in Python: Second Order Optimization and Curvature Estimation with K-FAC in JAX..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), google-deepmind/kfac-jax has accumulated 331 GitHub stars and 34 forks. It is written in Python, licensed under Apache-2.0, and ranks #15,195 globally. It is actively maintained with the latest commit recorded on Oct 13, 2026.”
| Repository | google-deepmind/kfac-jax ↗ |
|---|---|
| Primary Category | bayesian deep learning |
| Language & Stack | Python |
| Software License | Apache-2.0 |
| Community Traction | ★ 331 stars · ⑂ 34 forks · #15,195 globally |
| Maintenance | ● Active (Last commit: Oct 13, 2026) · 24 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 AYes, kfac-jax is actively maintained. Continuous telemetry recorded the last code commit on Oct 13, 2026 (30 days ago). Supported by 331 stars and 34 community forks, this repository holds a calculated health index of 88/100, reflecting regular maintenance (30 days ago) and healthy issue cadence.
Star History
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+0
STARS · LAST 30 DAYS
1
PER DAY
#2,040
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +0 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +0 | +10 |
kfac-jax gained 0 stars in the last 30 days, about 1 a day, and now has 331. It is about 5 years old and has averaged roughly 66 stars a year. It ranks #2,040 among Python repositories and #15,195 across all languages on GitHubRepo.
Trending Record
43
DAYS ON TRENDING
#2446
BEST RANK
Sep 25, 2026
FIRST APPEARANCE
Active
STATUS TODAY
kfac-jax has maintained a continuous presence across global trending indexes, peaking at #2446. Below is the 30-day activity profile:
💡 Overview
kfac-jax is an open-source project written in Python: Second Order Optimization and Curvature Estimation with K-FAC in JAX.
Engineered for speed, consistency, and developer ease, it solves common hurdles in bayesian-deep-learning, machine-learning, optimization. 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
$ pip install kfac-jax⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
kfac-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 kfac-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 kfac-jax using your package manager: `pip install kfac-jax`
Initialize your project workspace or configuration file for kfac-jax.
Import kfac-jax into your codebase or invoke it directly from your terminal.
Execute your test suite or run `kfac-jax --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 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-deepmind/kfac-jax is currently ranked #15,195 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #15,167 | HMAKT99/UnTouchID | Swift | ★ 332 | Compare ↗ |
| #15,167 | kaybi-gh/K7 | C# | ★ 332 | Compare ↗ |
| #15,167 | TerseAI/durable-actors | Rust | ★ 332 | Compare ↗ |
| #15,167 | Goncafer47/Stablecoin-Payment-Gateway | Python | ★ 332 | Compare ↗ |
| #15,167 | qianshuixia/shrimpreel | TypeScript | ★ 332 | Compare ↗ |
| #15,195 | google-deepmind/kfac-jax This Project | Python | ★ 331 | |
| #15,195 | nesquena/sinatra_more | Ruby | ★ 331 | Compare ↗ |
| #15,195 | cucumber/cucumber-cpp | C++ | ★ 331 | Compare ↗ |
| #15,195 | tatsuhiro-t/apt-metalink | Python | ★ 331 | Compare ↗ |
| #15,195 | jeremyevans/forme | Ruby | ★ 331 | Compare ↗ |
| #15,195 | yamcs/yamcs | Java | ★ 331 | Compare ↗ |
Frequently Asked Questions
What does kfac-jax do? +
Second Order Optimization and Curvature Estimation with K-FAC in JAX.
Is kfac-jax actively maintained in 2026? +
Yes, kfac-jax is actively maintained. The latest code push was recorded on Oct 13, 2026 (30 days ago). It holds a calculated Maintenance Health Score of 88/100 (A rating) with 331 stars and 24 open issues.
What language is kfac-jax written in? +
The primary language is Python. Topics include: bayesian-deep-learning, machine-learning, optimization.
How many stars does kfac-jax have? +
kfac-jax has 331 stars and 34 forks on GitHub.
How does kfac-jax rank among GitHub repositories? +
With 331 stars, google-deepmind/kfac-jax is ranked #15,195 globally across all repositories tracked on GitHubRepo and #2,040 among Python projects.
What license is kfac-jax distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
