Python Script for Calculating Joint Maximum likelihood estimate of nucleotide polymorphism (theta = (4Nu)) based on number of segregating sites
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+10
STARS · LAST 30 DAYS
1
PER DAY
#2,959
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
MLE_THETA gained 10 stars in the last 30 days, about 1 a day, and now has 1. It is about 17 years old and has averaged roughly 0 stars a year. It ranks #2,959 among Python repositories and #25,684 across all languages on GitHubRepo.
Trending Record
19
DAYS ON TRENDING
#100
BEST RANK
Jul 30, 2009
FIRST APPEARANCE
Active
STATUS TODAY
MLE_THETA has maintained a continuous presence across global trending indexes, peaking at #100. Below is the 30-day activity profile:
💡 Overview
MLE_THETA is an open-source project written in Python: Python Script for Calculating Joint Maximum likelihood estimate of nucleotide polymorphism (theta = (4Nu)) based on number of segregating sites.
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 MLE_THETA⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
MLE_THETA 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 MLE_THETA 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 source license.
🚀 Getting Started
Install MLE_THETA using your package manager: `pip install MLE_THETA`
Initialize your project workspace or configuration file for MLE_THETA.
Import MLE_THETA into your codebase or invoke it directly from your terminal.
Execute your test suite or run `MLE_THETA --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
rwness/MLE_THETA is currently ranked #25,684 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #23,193 | xman/utility | Shell | ★ 2 | Compare ↗ |
| #23,193 | locusf/monotooth | HTML | ★ 2 | Compare ↗ |
| #23,193 | morgs/poll-builder | Python | ★ 2 | Compare ↗ |
| #23,193 | daaku/tempdir | Ruby | ★ 2 | Compare ↗ |
| #23,193 | pdsphil/ruby-merlin | Ruby | ★ 2 | Compare ↗ |
| #25,684 | rwness/MLE_THETA This Project | Python | ★ 1 | |
| #25,684 | prepor/prepor-ru | PHP | ★ 1 | Compare ↗ |
| #25,684 | dfugere/flat_lady | Ruby | ★ 1 | Compare ↗ |
| #25,684 | openmoney/openmoney-plugin | — | ★ 1 | Compare ↗ |
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Frequently Asked Questions
What does MLE_THETA do? +
Python Script for Calculating Joint Maximum likelihood estimate of nucleotide polymorphism (theta = (4Nu)) based on number of segregating sites
What language is MLE_THETA written in? +
The primary language is Python. Topics include: software.
Is MLE_THETA actively maintained? +
Yes, the last recorded push was on Nov 15, 2009 with 0 open issues being tracked.
How many stars does MLE_THETA have? +
MLE_THETA has 1 stars and 0 forks on GitHub.
How does MLE_THETA rank among GitHub repositories? +
With 1 stars, rwness/MLE_THETA is ranked #25,684 globally across all repositories tracked on GitHubRepo and #2,959 among Python projects.
What license is MLE_THETA distributed under? +
No SPDX license identified yet. Code without a license is subject to copyright by default.
