What is Probably?

Probably is a rapid exploratory data analysis tool that combines traditional quantitative plots with modern embeddings over qualitative data to unlock entirely new ways of looking at data. It enables you to plot relationships across dimensions of different variable types: discrete, continuous, numeric and textual -- all in one easy and simple plotting interface.

If you are an AI engineer, product manager, data scientist, or analytics professional looking to supercharge your exploratory analysis ability, Probably is the tool for you.

Probably runs entirely on your local machine, providing unmatched computation performance and eliminating cloud data security concerns.

Real-World Applications

Modern data science requires juggling multiple tools - Python for data manipulation and glue code, SQL for querying and materialization, R for statistics, Excel for quick stuff, BI tools for reporting, and visualization libraries like Matplotlib or Plotly for more advanced charts and graphs.

Probably focuses on just streamlining the exploratory phase by integrating those technologies into a single interface optimized for exploratory plots. This allows you to go from a simple spreadsheet of observational data to an in-depth exploration in a very short period of time.

Here are some scenarios where Probably's integrated approach shines:

• Analyzing LLM Trace Data: Explore large language model (LLM) performance data to identify patterns in latency, cost, and output quality across different models and input parameters.
• Contextualizing Customer Feedback: Quickly segment and pattern match across vast amounts of textual feedback data, identifying key trends and their driving factors with just a few simple plots.

Quick Start

Ready to experience the power of Probably? Start here:

1. Quick Start: Set up your first dataset and create your initial visualizations.
2. Tutorial: Analyzing LLM Trace Data: Follow a step-by-step guide to analyze LLM performance and answer key questions about model behavior.
3. Tutorial: Analyzing Customer Feedback: Learn how to extract insights from customer feedback data using Probably's powerful text analysis features.

Core Features

Discover Probably's powerful analysis capabilities:

• X vs Y Plotting: Master the fundamentals of creating and interpreting plots in Probably, with built-in statistical testing.
• Cluster View: Dive into advanced text analysis with vector space visualizations, combining the power of embedding analysis with intuitive visual exploration.

Advanced Topics

Ready to go deeper? Explore these advanced topics:

• Filtering and Navigation: Learn how to drill down into your data and navigate between different views, mimicking complex SQL queries with simple point-and-click actions.
• Advanced Controls: Fine-tune your analysis with customizable settings and parameters, giving you the flexibility of a programming environment in a user-friendly interface.
• Saving and Sharing: Collaborate with others by saving, exporting, and sharing your insights, bridging the gap between analysis and reporting.

We're excited to see how Probably can streamline your data analysis workflow and help you uncover insights faster than ever before. Happy exploring!