Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.
⚡ Executive Summary & Quick Facts
Authoritative Sourcepymc-marketing is pymc-marketing is an open-source project written in Python: Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), pymc-labs/pymc-marketing has accumulated 1,274 GitHub stars and 423 forks. It is written in Python, licensed under Apache-2.0, and ranks #6,571 globally. It is actively maintained with the latest commit recorded on Oct 6, 2026.”
| Repository | pymc-labs/pymc-marketing ↗ |
|---|---|
| Primary Category | btyd |
| Language & Stack | Python |
| Software License | Apache-2.0 |
| Community Traction | ★ 1.3K stars · ⑂ 423 forks · #6,571 globally |
| Maintenance | ● Active (Last commit: Oct 6, 2026) · 451 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: 87/100 · Grade AYes, pymc-marketing is actively maintained. Continuous telemetry recorded the last code commit on Oct 6, 2026 (26 days ago). Supported by 1,274 stars and 423 community forks, this repository holds a calculated health index of 87/100, reflecting regular maintenance (26 days ago) and active community feedback (451 open).
Star History
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Momentum
+5
STARS · LAST 30 DAYS
1
PER DAY
#931
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +5 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +5 | +21 |
pymc-marketing gained 5 stars in the last 30 days, about 1 a day, and now has 1.3K. It is about 5 years old and has averaged roughly 255 stars a year. It ranks #931 among Python repositories and #6,571 across all languages on GitHubRepo.
Trending Record
34
DAYS ON TRENDING
#1756
BEST RANK
Sep 26, 2026
FIRST APPEARANCE
Active
STATUS TODAY
pymc-marketing has maintained a continuous presence across global trending indexes, peaking at #1756. Below is the 30-day activity profile:
💡 Overview
pymc-marketing is an open-source project written in Python: Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.
Engineered for speed, consistency, and developer ease, it solves common hurdles in btyd, buy-till-you-die, clv. 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-marketing
⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
pymc-marketing 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-marketing 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 pymc-marketing using your package manager: `pip install pymc-marketing`
Initialize your project workspace or configuration file for pymc-marketing.
Import pymc-marketing into your codebase or invoke it directly from your terminal.
Execute your test suite or run `pymc-marketing --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
pymc-labs/pymc-marketing is currently ranked #6,571 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #6,565 | wundergraph/cosmo | TypeScript | ★ 1.3K | Compare ↗ |
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| #6,571 | pymc-labs/pymc-marketing This Project | Python | ★ 1.3K | |
| #6,571 | davetron5000/gli | Ruby | ★ 1.3K | Compare ↗ |
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Frequently Asked Questions
What does pymc-marketing do? +
Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.
Is pymc-marketing actively maintained in 2026? +
Yes, pymc-marketing is actively maintained. The latest code push was recorded on Oct 6, 2026 (26 days ago). It holds a calculated Maintenance Health Score of 87/100 (A rating) with 1,274 stars and 451 open issues.
What language is pymc-marketing written in? +
The primary language is Python. Topics include: btyd, buy-till-you-die, clv, customer-lifetime-value, data-science.
How many stars does pymc-marketing have? +
pymc-marketing has 1,274 stars and 423 forks on GitHub.
How does pymc-marketing rank among GitHub repositories? +
With 1,274 stars, pymc-labs/pymc-marketing is ranked #6,571 globally across all repositories tracked on GitHubRepo and #931 among Python projects.
What license is pymc-marketing distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.