← Back to search
github Active AI dev

Repository profile

pymc-labs/pymc-marketing

Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.

Python Apache-2.0 main Stack scanned README.md
Stars
1,197
Forks
388
Watchers
34
Issues
414
Commits
1,428
Awesome lists
1

Repository updates

Follow repository updates

Get generated pymc-labs/pymc-marketing development summaries by email, or follow the weekly and monthly RSS feeds.

Sign in to subscribe by email. RSS feeds are public.

Sign in to subscribe

Activity and growth

Tracked growth, recent movement, and commit velocity from stored repository snapshots.

Latest capture 2026-07-13 03:12

Star growth, last 7 days
0 0.0%
Commit velocity, last 7 days
0 0.0%
Stars since baseline
+39
Snapshot coverage
5

Tracked growth

5 captures since 2026-05-24

Stars from baseline +39

Time horizon

All tracked data

Stars history

Total stars

Commits history

Default branch commits

Detected stack

Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.

Scanned 2026-07-13 03:12

Stack signals
2
Package managers
2
Manifest files
2
Dependencies
66

Frameworks and tools

  • pytest test framework · high confidence
  • Streamlit app framework · high confidence
PEP 517 pip python

Dependency files

2 manifests
  • pyproject.toml python ecosystem, 62 dependencies
  • streamlit/mmm-explainer/requirements.txt python ecosystem, 4 dependencies

Classification

Searchable topics, generated tags, and stack labels that explain where this repository fits.

Topics
10
Tags
0
Stacks
2

AI development signals

Agent instructions and tool configuration paths found in the repository tree.

51 paths

AI agent config detected

51 config paths 39 files 12 directories
Claude Code 48 Cursor 3

Key config paths

Review config paths

Showing the first 24 paths. 27 more detected.

Similar repositories

Nearest indexed repositories by embedding similarity.

embeddedlayers/mcp-analytics

The statistical analyst in your AI chat — bring data and a question, own a citable, re-runnable analysis. Four depth tiers, from instant Snapshot to full Deck study. Works in Claude, Cursor, and any MCP client.

7 stars
JavaScript 1 awesome list

pymc-devs/pymc

Bayesian Modeling and Probabilistic Programming in Python

9,661 stars
Python 5 awesome lists

irinabuht12-oss/google-meta-ads-ga4-mcp

MCP server for Google Ads, Meta Ads & GA4 — works with ChatGPT, Claude, Cursor, n8n, Windsurf & more. 250+ tools for campaign management, analytics & optimization.

1,037 stars
1 awesome list

open-mmlab/mmengine

OpenMMLab Foundational Library for Training Deep Learning Models

1,482 stars
Python 1 awesome list

clearml/clearml

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

6,774 stars
Python 2 awesome lists

competlab/competlab-mcp-server

Competitive intelligence MCP server — monitor competitors and track how AI ranks your brand

2 stars
TypeScript 1 awesome list

Metadata

Language
Python
License
Apache-2.0
Default branch
main
Created
2022-03-07
First commit
2022-03-07
Last pushed
2026-07-12
GitHub updated
2026-07-12
Last synced
2026-07-13 03:12
Stack detected
2026-07-13 03:12
Archived
no
GitHub Website

https://www.pymc-marketing.io/

README

Appears in

1