Skip to main content

Process and profile text datasets interactively

Project description

Texture: Structured Text Analytics

Texture is a system for exploring and creating structured insights with your text datasets.

  1. Texture visualizes structured attributes alongside your text datasets in interactive, cross-filterable charts.
  2. Attribute charts can come from any level of a document such as words, sentences, or documents.
  3. Texture helps you derive new attributes during analysis with code and LLM transformations.

screenshot of Texture interface

Installation

Pip installation coming soon!

import texture

texture.run(df) # launch texture app

Dev install

tl;dr below, see DEV.md for more details about dev workflows and setup.

If using VSCode (recommended), launching the servers below is configured as a build task you can launch with Cmd+Shift+P > Tasks: Run Build Task > Launch Texture; otherwise you can launch manually:

Terminal 1: Backend python server

poetry run run_server

Terminal 2: frontend svelte UI

cd texturefrontend
npm run dev

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

texture_viz-0.0.2.tar.gz (3.1 MB view hashes)

Uploaded Source

Built Distribution

texture_viz-0.0.2-py3-none-any.whl (3.2 MB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page