Templates

Cluster analysis

Build an interactive K-means clustering app in minutes with Hex. Scale, reduce, and encode your features using Python, then create an interactive app using input parameters.

Document Similarity with Embeddings

Explore document similarity using embeddings, swiftly visualizing and interpreting text clusters from your SQL warehouse.

Clustering algorithms

Group similar data points together to discover patterns, structures, or subgroups within a dataset.

Customer Segmentation

Izzy Miller

Group users by behavior or purchase history using clustering in Python. This Hex customer segmentation template covers K-means, charts, and interpretation.

Collaborative filtering

Izzy Miller

Build a recommendation engine with collaborative filtering in Python. Find similar users, make personalized recommendations, and ship it in a Hex notebook.

Market Basket Analysis

Identify high-impact product pairings and optimize promotional strategies with apriori market basket analysis

Content based filtering

Content-based filtering and collaborative filtering are two data modeling techniques for recommending items to users. Turn your complex logic into an easily digestible app in Hex that anyone can use and start getting recommendations within seconds.

Anomaly Detection

Detect anomalies in time series and tabular data using Python in Hex. This template covers statistical and ML-based anomaly detection with working examples.

dbt Audit Helper

Validate dbt PRs and document changes with a Hex UI

A/B testing

Run A/B tests and analyze results with Python in Hex. This template covers hypothesis testing, statistical significance, and experiment analysis.

Build, test, and deploy powerful ML models

Izzy Miller

Build, test, and deploy powerful ML models in Hex using Python and scikit-learn. Covers the full ML workflow from feature engineering to deployment.

Python Data Visualization

Izzy Miller

Move from SQL results to interactive charts using Matplotlib, Plotly, Altair, and Seaborn — all in one Hex notebook.

Geospatial Data Analysis

Use powerful GIS techniques alongside SQL and built-in mapping tools

Python mapping libraries

Izzy Miller

Explore Folium, Plotly, and more - all inside a Hex notebook, alongside your SQL and Python. Get mapping libraries with live examples and geospatial analysis code.

Interactive Data stories

Izzy Miller

Build narrative data stories that combine charts, text, and live data in one Hex document. Covers effective data storytelling with interactive examples.

Exploratory Data Analysis

Izzy Miller

Understand your data before you model it. This Hex EDA template covers distributions, correlations, and outliers with Python examples. Explore it free.

Ad-hoc exploration

Izzy Miller, Dev Advocate at Hex

Ad-hoc or deep-dive, Hex is the fastest path from question to insight.

Text to SQL Chatbot

Jordan East

Learn how to build your own text to SQL chatbot in Hex using OpenAI and LangChain

Linear Dimensionality Reduction

Izzy Miller

Visualize high dimensional data using linear reduction techniques

Feature Selection

Choose the right input variables for your ML model using filter, wrapper, and embedded methods. This Hex feature selection template includes Python examples.

Non-linear dimensionality reduction

Visualize high dimensional data using non-linear reduction techniques

Customer Health Dashboard

Track customer health scores, usage signals, and risk indicators in Hex. Build an interactive customer health dashboard with SQL and Python.

Feature Success

Jo Engreitz

Measure Feature adoption, retention and satisfaction with this interactive Hex app.

SQL Powered Dashboards

Build flexible BI dashboards out of SQL queries

Customer lifetime value Dashboard

Izzy Miller

Calculate and visualize customer lifetime value in Hex using SQL and Python. This template covers LTV modeling, segmentation, and dashboard building.

Using SpaCy for NLP

Harness SpaCy for NLP to effortlessly analyze, extract insights, and visualize results from texts

Natural Language Processing

Izzy Miller

Sentiment analysis, emotion detection, and text classification in one Hex notebook using HuggingFace and TF-IDF. This NLP template includes working code you can run and adapt.

Feature Success Interactive Dashboard

Jo Engreitz

Build feature success dashboards with Hex. Monitor usage metrics using parameterized SQL, create interactive visualizations and effortlessly share your work.

Period over period analysis

Izzy Miller

Compare MoM, QoQ, and YoY metrics in SQL with reusable logic. This Hex template covers period-over-period analysis with working query examples.

dbt Metrics

Access trusted metrics with Hex's dbt integration

Replace Google Analytics with Rudderstack & Hex

Build a more in-depth and flexible analytics stack

Automating Quarterly Reviews

Izzy Miller

Connect your data between Hex, Google Sheets and Google Slides. Give your stakeholders access to data and charts that automatically refresh before the next QBR.

VADER sentiment analysis

Izzy Miller

Use VADER's rule-based sentiment model to analyze social media, customer reviews, and more. Learn how to score, interpret, and visualize sentiment at scale.

Social Media Sentiment Analysis

Izzy Miller

Parse tweets, posts, and comments to track brand sentiment over time. Hex template covers sentiment scoring, aggregation, and trend charts in Python.

Named Entity Recognition

Extract entities (people, places, orgs) from text using spaCy and HuggingFace in a Hex notebook. Named entity recognition template with working code.

Sentiment Analysis

Turn unstructured text — reviews, support tickets, and surveys — into sentiment scores using Python in Hex. Covers multiple approaches with working code.

Customer Behavior Analysis And New Product Sales Forecasting

Analyze customer purchasing behavior and forecast new product sales in Hex. Covers segmentation, trend analysis, and predictive modeling with Python.

Time series analysis with Snowpark

Forecast hourly restaurant traffic using UDTFs in Snowpark

Data Science with Snowpark

The easy button for Snowpark

Snowpark ML using Stored Procedures

Use Snowpark ML and stored procedures to build powerful machine learning pipelines that run entirely inside your Snowflake warehouse.

Time Series Forecasting with Prophet

Izzy Miller, Dev Advocate at Hex

Build time series forecasting models with Prophet in a Hex notebook — decompose trends, handle seasonality, and visualize predictions.

Time series analysis in Snowpark

Forecast hourly restaurant traffic using UDTFs in Snowpark

Time Series Forecasting

One workspace with everything you need to build complex time series models