Bayesian Evolutionary Analysis Sampling Trees
⚡ Executive Summary & Quick Facts
Authoritative Sourcebeast-mcmc is beast-mcmc is an open-source project written in Java: Bayesian Evolutionary Analysis Sampling Trees..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), beast-dev/beast-mcmc has accumulated 248 GitHub stars and 84 forks. It is written in Java, licensed under LGPL-2.1, and ranks #17,539 globally. It is actively maintained with the latest commit recorded on Oct 19, 2026.”
| Repository | beast-dev/beast-mcmc ↗ |
|---|---|
| Primary Category | bayesian analysis |
| Language & Stack | Java |
| Software License | LGPL-2.1 |
| Community Traction | ★ 248 stars · ⑂ 84 forks · #17,539 globally |
| Maintenance | ● Active (Last commit: Oct 19, 2026) · 83 open issues |
| Target Audience | Developers and engineering teams building with Java, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 88/100 · Grade AYes, beast-mcmc is actively maintained. Continuous telemetry recorded the last code commit on Oct 19, 2026 (25 days ago). Supported by 248 stars and 84 community forks, this repository holds a calculated health index of 88/100, reflecting regular maintenance (25 days ago) and healthy issue cadence.
Star History
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+10
STARS · LAST 30 DAYS
1
PER DAY
#1,267
MOST-STARRED Java
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +3 | +10 |
beast-mcmc gained 10 stars in the last 30 days, about 1 a day, and now has 248. It is about 12 years old and has averaged roughly 21 stars a year. It ranks #1,267 among Java repositories and #17,539 across all languages on GitHubRepo.
Trending Record
21
DAYS ON TRENDING
#12529
BEST RANK
Oct 19, 2026
FIRST APPEARANCE
Active
STATUS TODAY
beast-mcmc has maintained a continuous presence across global trending indexes, peaking at #12529. Below is the 30-day activity profile:
💡 Overview
beast-mcmc is an open-source project written in Java: Bayesian Evolutionary Analysis Sampling Trees.
Engineered for speed, consistency, and developer ease, it solves common hurdles in bayesian-analysis, beast, evolution. 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 Java 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
$ git clone https://github.com/beast-dev/beast-mcmc.git
cd beast-mcmc⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
JDK 17 or higher (OpenJDK / GraalVM)
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
beast-mcmc coordinates its core functionality through a modular Java 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 beast-mcmc into Java 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 LGPL-2.1 license.
🚀 Getting Started
Install beast-mcmc using your package manager: `git clone https://github.com/beast-dev/beast-mcmc.git`
Initialize your project workspace or configuration file for beast-mcmc.
Import beast-mcmc into your codebase or invoke it directly from your terminal.
Execute your test suite or run `beast-mcmc --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Java, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
beast-dev/beast-mcmc is currently ranked #17,539 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #17,499 | z1n-k/zia | JavaScript | ★ 249 | Compare ↗ |
| #17,499 | ceyyy427/finathink | Python | ★ 249 | Compare ↗ |
| #17,499 | replicraft/remade | TypeScript | ★ 249 | Compare ↗ |
| #17,499 | gminustwo/msr2ds | C++ | ★ 249 | Compare ↗ |
| #17,499 | ersinkoc/phonebox | C# | ★ 249 | Compare ↗ |
| #17,539 | beast-dev/beast-mcmc This Project | Java | ★ 248 | |
| #17,539 | chipx86/gtkparasite | C | ★ 248 | Compare ↗ |
| #17,539 | tyler/trie | C | ★ 248 | Compare ↗ |
| #17,539 | WinRb/Viewpoint | Ruby | ★ 248 | Compare ↗ |
| #17,539 | braintree/braintree_python | Python | ★ 248 | Compare ↗ |
| #17,539 | AndreaCensi/csm | C | ★ 248 | Compare ↗ |
Frequently Asked Questions
What does beast-mcmc do? +
Bayesian Evolutionary Analysis Sampling Trees
Is beast-mcmc actively maintained in 2026? +
Yes, beast-mcmc is actively maintained. The latest code push was recorded on Oct 19, 2026 (25 days ago). It holds a calculated Maintenance Health Score of 88/100 (A rating) with 248 stars and 83 open issues.
What language is beast-mcmc written in? +
The primary language is Java. Topics include: bayesian-analysis, beast, evolution, java, mcmc.
How many stars does beast-mcmc have? +
beast-mcmc has 248 stars and 84 forks on GitHub.
How does beast-mcmc rank among GitHub repositories? +
With 248 stars, beast-dev/beast-mcmc is ranked #17,539 globally across all repositories tracked on GitHubRepo and #1,267 among Java projects.
What license is beast-mcmc distributed under? +
The repository reports a LGPL-2.1 license. Always verify the repository LICENSE file for legal terms.
