Umami is a modern, privacy-focused analytics platform. An open-source alternative to Google Analytics, Mixpanel and Amplitude.
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Updated
Nov 23, 2025 - TypeScript
Umami is a modern, privacy-focused analytics platform. An open-source alternative to Google Analytics, Mixpanel and Amplitude.
🏃 An R package for advanced sports performance analysis and training load monitoring using Strava data.
A web application to find patients, build cohorts and visualize health records
Algorithmic Marketing based Project to do Customer Segmentation using RFM Modeling and targeted Recommendations based on each segment
A Snakemake workflow to process single samples or cohorts of Illumina paired-end sequencing data (WGS or WES) using trim galore/bwa/GATK4/parabricks.
Cohort graph (Cohort Analysis)
Flowchart is a STATA module/package that generates publication-quality Subject Disposition Flowchart Diagrams in LaTeX Format. This package generates PGF/TikZ code through texdoc, compiled in LaTeX to produce the diagram as a PDF. The final diagram is the same in style as ones used in the PRISMA Statement, CONSORT 2010 Statement, or STROBE State…
Custom Cohort Visualization based on Kibana NP
A fully interactive data storytelling dashboard for e-commerce analytics. Built with Python, Streamlit, and Plotly, it transforms transactional data into actionable insights through KPIs, cohort retention, RFM segmentation, and global visualizations, perfect for analysts and data scientists.
A comprehensive guide and codebase for building interactive storytelling dashboards with Python, Streamlit, and Plotly. Learn how to transform static analytics into dynamic, user-driven data experiences that engage and inspire, featuring RFM segmentation, cohort analysis, and real-world insights.
An R package for easy cohort analysis with event data
NHC: A computational approach to detect physiological homogeneity in the midst of genetic heterogeneity
Jupyter Notebook Praktikum Projects. This is repository with data analyst educational projects from Yandex.Praktikum.
Deciphering Bitcoin Blockchain Data by Cohort Analysis
The fastest way to make sense of a transaction log.
This project uses Python and Jupyter Notebook to perform time-based Cohorts Analysis to assess and compare retention, order items quantity and order revenue of different customer cohorts.
This repo is a code demo that implements a custom Customer Retention Analysis class with a number of helpful methods/functions to generate customer churn insights frequently used for marketing analytics to understand the growth and change of your customer base (new vs retained vs lost) .
tPC - Causal discovery with temporal background
A web-based visual analysis tool for creating and characterizing cohorts.
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