JAX accelerated Quantum Monte Carlo
⚡ Executive Summary & Quick Facts
Authoritative Sourcejaqmc is jaqmc is an open-source project written in Python: JAX accelerated Quantum Monte Carlo..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), bytedance/jaqmc has accumulated 126 GitHub stars and 30 forks. It is written in Python, licensed under Apache-2.0, and ranks #23,927 globally. It is actively maintained with the latest commit recorded on Oct 21, 2026.”
| Repository | bytedance/jaqmc ↗ |
|---|---|
| Primary Category | neural network |
| Language & Stack | Python |
| Software License | Apache-2.0 |
| Community Traction | ★ 126 stars · ⑂ 30 forks · #23,927 globally |
| Maintenance | ● Active (Last commit: Oct 21, 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 AYes, jaqmc is actively maintained. Continuous telemetry recorded the last code commit on Oct 21, 2026 (23 days ago). Supported by 126 stars and 30 community forks, this repository holds a calculated health index of 88/100, reflecting regular maintenance (23 days ago) and healthy issue cadence.
Star History
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Momentum
+10
STARS · LAST 30 DAYS
1
PER DAY
#3,248
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +3 | +10 |
jaqmc gained 10 stars in the last 30 days, about 1 a day, and now has 126. It is about 4 years old and has averaged roughly 32 stars a year. It ranks #3,248 among Python repositories and #23,927 across all languages on GitHubRepo.
Trending Record
18
DAYS ON TRENDING
#16773
BEST RANK
Oct 21, 2026
FIRST APPEARANCE
Active
STATUS TODAY
jaqmc has maintained a continuous presence across global trending indexes, peaking at #16773. Below is the 30-day activity profile:
💡 Overview
jaqmc is an open-source project written in Python: JAX accelerated Quantum Monte Carlo.
Engineered for speed, consistency, and developer ease, it solves common hurdles in neural-network, quantum-chemistry, quantum-monte-carlo. 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 jaqmc
⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
jaqmc 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 jaqmc 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 jaqmc using your package manager: `pip install jaqmc`
Initialize your project workspace or configuration file for jaqmc.
Import jaqmc into your codebase or invoke it directly from your terminal.
Execute your test suite or run `jaqmc --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
bytedance/jaqmc is currently ranked #23,927 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #23,844 | letuandat131/whiteboard-animation-vi | Python | ★ 127 | Compare ↗ |
| #23,844 | nodecloak/nodecloak | Rust | ★ 127 | Compare ↗ |
| #23,844 | Ropedia/ropedia-w0 | Python | ★ 127 | Compare ↗ |
| #23,844 | yesterdayfuture/confess | Python | ★ 127 | Compare ↗ |
| #23,844 | skavuri143/witnessforge | Python | ★ 127 | Compare ↗ |
| #23,927 | bytedance/jaqmc This Project | Python | ★ 126 | |
| #23,927 | heycarsten/email-veracity | Ruby | ★ 126 | Compare ↗ |
| #23,927 | p2k/pygowave-legacy | JavaScript | ★ 126 | Compare ↗ |
| #23,927 | agiliq/Dinette | Python | ★ 126 | Compare ↗ |
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Frequently Asked Questions
What does jaqmc do? +
JAX accelerated Quantum Monte Carlo
Is jaqmc actively maintained in 2026? +
Yes, jaqmc is actively maintained. The latest code push was recorded on Oct 21, 2026 (23 days ago). It holds a calculated Maintenance Health Score of 88/100 (A rating) with 126 stars and 1 open issues.
What language is jaqmc written in? +
The primary language is Python. Topics include: neural-network, quantum-chemistry, quantum-monte-carlo, variational-monte-carlo.
How many stars does jaqmc have? +
jaqmc has 126 stars and 30 forks on GitHub.
How does jaqmc rank among GitHub repositories? +
With 126 stars, bytedance/jaqmc is ranked #23,927 globally across all repositories tracked on GitHubRepo and #3,248 among Python projects.
What license is jaqmc distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.