Compute Bayes Factor for PyMC model selection
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+10
STARS · LAST 30 DAYS
1
PER DAY
#3,057
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 |
pymc_bayes_factor gained 10 stars in the last 30 days, about 1 a day, and now has 9. It is about 17 years old and has averaged roughly 1 stars a year. It ranks #3,057 among Python repositories and #23,561 across all languages on GitHubRepo.
Trending Record
18
DAYS ON TRENDING
#12956
BEST RANK
Oct 1, 2026
FIRST APPEARANCE
Active
STATUS TODAY
pymc_bayes_factor has maintained a continuous presence across global trending indexes, peaking at #12956. Below is the 30-day activity profile:
💡 Overview
pymc_bayes_factor is an open-source project written in Python: Compute Bayes Factor for PyMC model selection.
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
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 pymc_bayes_factor⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
pymc_bayes_factor 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 pymc_bayes_factor 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 AGPL-3.0 license.
🚀 Getting Started
Install pymc_bayes_factor using your package manager: `pip install pymc_bayes_factor`
Initialize your project workspace or configuration file for pymc_bayes_factor.
Import pymc_bayes_factor into your codebase or invoke it directly from your terminal.
Execute your test suite or run `pymc_bayes_factor --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
aflaxman/pymc_bayes_factor is currently ranked #23,561 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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|---|---|---|---|---|
| #23,237 | ebroder/anygit | Python | ★ 10 | Compare ↗ |
| #23,237 | opengalaxies/OpenGalaxies | C++ | ★ 10 | Compare ↗ |
| #23,237 | nofxx/bugs_bunny | Ruby | ★ 10 | Compare ↗ |
| #23,237 | bhickey/TreeStructures | Haskell | ★ 10 | Compare ↗ |
| #23,237 | quangshuynh/scribekit | Swift | ★ 10 | Compare ↗ |
| #23,561 | aflaxman/pymc_bayes_factor This Project | Python | ★ 9 | |
| #23,561 | jnewland/votigoto | Ruby | ★ 9 | Compare ↗ |
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Frequently Asked Questions
What does pymc_bayes_factor do? +
Compute Bayes Factor for PyMC model selection
What language is pymc_bayes_factor written in? +
The primary language is Python. Topics include: software.
Is pymc_bayes_factor actively maintained? +
Yes, the last recorded push was on Oct 5, 2009 with 0 open issues being tracked.
How many stars does pymc_bayes_factor have? +
pymc_bayes_factor has 9 stars and 2 forks on GitHub.
How does pymc_bayes_factor rank among GitHub repositories? +
With 9 stars, aflaxman/pymc_bayes_factor is ranked #23,561 globally across all repositories tracked on GitHubRepo and #3,057 among Python projects.
What license is pymc_bayes_factor distributed under? +
The repository reports a AGPL-3.0 license. Always verify the repository LICENSE file for legal terms.
