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dchest/pybayesantispam

Simple Bayesian spam rating in Python that is easy to use, small, contained in a single file, and doesn't require any external modules.

Python ◇ developer-tools NOASSERTION
★30STARS
⑂2FORKS
!0ISSUES
🏆#14,878GLOBAL RANK
🔥30DAYS TRENDING
🚀
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#1,915

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+10+90
Per day111
Forks gained+0+3+10

pybayesantispam gained 10 stars in the last 30 days, about 1 a day, and now has 30. It is about 17 years old and has averaged roughly 2 stars a year. It ranks #1,915 among Python repositories and #14,878 across all languages on GitHubRepo.

Trending Record

pybayesantispam has maintained a continuous presence across global trending indexes, peaking at #100. Below is the 30-day activity profile:

💡 Overview

pybayesantispam is an open-source project written in Python: Simple Bayesian spam rating in Python that is easy to use, small, contained in a single file, and doesn't require any external modules. .

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

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install pybayesantispam

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

pybayesantispam 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 pybayesantispam 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 NOASSERTION license.

🚀 Getting Started

1

Install pybayesantispam using your package manager: `pip install pybayesantispam`

2

Initialize your project workspace or configuration file for pybayesantispam.

3

Import pybayesantispam into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `pybayesantispam --help` to verify successful setup.

👍 Strengths

Active community backing with 30 GitHub stars and verified adoption.
Permissive open-source distribution under the NOASSERTION license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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👥 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

dchest/pybayesantispam is currently ranked #14,878 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#14,813 felipec/libomxil-bellagio C ★ 31 Compare ↗
#14,813 johnreilly/github-fogbugz Ruby ★ 31 Compare ↗
#14,813 stuart/google-authsub Ruby ★ 31 Compare ↗
#14,813 nakajima/calendar-maker Ruby ★ 31 Compare ↗
#14,813 sunchayn/fresh-package PHP ★ 31 Compare ↗
#14,878 dchest/pybayesantispam This Project Python ★ 30
#14,878 Everteam-Software/tempo Java ★ 30 Compare ↗
#14,878 karmugilen/torrent-player Kotlin ★ 30 Compare ↗
#14,878 ItsJokerZz/DeadOps C++ ★ 30 Compare ↗
#14,878 aslakhellesoy/rspec-distributed Ruby ★ 30 Compare ↗
#14,878 svenfuchs/scriptaculous-sortabletree JavaScript ★ 30 Compare ↗

Frequently Asked Questions

What does pybayesantispam do? +

Simple Bayesian spam rating in Python that is easy to use, small, contained in a single file, and doesn't require any external modules.

What language is pybayesantispam written in? +

The primary language is Python. Topics include: software.

Is pybayesantispam actively maintained? +

Yes, the last recorded push was on Mar 11, 2015 with 0 open issues being tracked.

How many stars does pybayesantispam have? +

pybayesantispam has 30 stars and 2 forks on GitHub.

How does pybayesantispam rank among GitHub repositories? +

With 30 stars, dchest/pybayesantispam is ranked #14,878 globally across all repositories tracked on GitHubRepo and #1,915 among Python projects.

What license is pybayesantispam distributed under? +

The repository reports a NOASSERTION license. Always verify the repository LICENSE file for legal terms.

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