Skip to main content

Organize unstructured data

Project description

🌸 Lilac

Static Badge Downloads License Twitter

NEW: Try the Lilac hosted demo with pre-loaded datasets

👋 Welcome

Lilac is an open-source product that helps you analyze, structure, and clean unstructured data with AI.

Lilac can be used from our UI or from Python.

https://github.com/lilacai/lilac/assets/2294279/cb1378f8-92c1-4f2a-9524-ce5ddd8e0c53

💻 Install

To install Lilac on your machine:

pip install lilac

You can also use Lilac with no installation by forking our public HuggingFace Spaces demo.

🔥 Getting started

Start the Lilac webserver from the CLI:

lilac start

Or start the Lilac webserver from Python:

import lilac as ll

ll.start_server()

This will open start a webserver at http://localhost:5432/.

📁 Documentation

Visit our website: lilacml.com

💻 Why Lilac?

Lilac is a visual tool and a Python API that helps you:

  • Explore datasets with natural language (e.g. documents)
  • Enrich your dataset with metadata (e.g. PII detection, profanity, text statistics, etc.)
  • Conceptually search and tag your data (e.g. find paragraphs about injury)
  • Remove unwanted or problematic data based on your own criteria
  • Analyze patterns in your data

Lilac runs completely on device using powerful open-source LLM technologies.

💬 Contact

For bugs and feature requests, please file an issue on GitHub.

For general questions, please visit our Discord.

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

lilac-0.0.15.tar.gz (1.0 MB view details)

Uploaded Source

Built Distribution

lilac-0.0.15-py3-none-any.whl (1.1 MB view details)

Uploaded Python 3

File details

Details for the file lilac-0.0.15.tar.gz.

File metadata

  • Download URL: lilac-0.0.15.tar.gz
  • Upload date:
  • Size: 1.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.5.1 CPython/3.9.17 Darwin/22.5.0

File hashes

Hashes for lilac-0.0.15.tar.gz
Algorithm Hash digest
SHA256 31d8b1e720f29c5eca7446ad7cb65e4a1791a28ecbd417afd72c11a07c3f69ca
MD5 7a114dba5f533bb6b16a147b54150150
BLAKE2b-256 55049969dc6c0c630e07250308d55254c97282a166697f6b06d1d63dab3a2536

See more details on using hashes here.

File details

Details for the file lilac-0.0.15-py3-none-any.whl.

File metadata

  • Download URL: lilac-0.0.15-py3-none-any.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.5.1 CPython/3.9.17 Darwin/22.5.0

File hashes

Hashes for lilac-0.0.15-py3-none-any.whl
Algorithm Hash digest
SHA256 cabb6b5fed124834354932d514d22047337b0b6b121752fb7cfae99c75efafab
MD5 d2c5049f4405272f1c590536acb30646
BLAKE2b-256 c25a873456b914adf57502b59ce4b937d22d5770d454a55684ad07bde7f56f8c

See more details on using hashes here.

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