Model-guided, interactive data debugging and enhancements

3LC is an ML tool that lets you see your dataset through your model's eyes!

  • Find important or inefficient samples
  • Understand what samples work and where your model struggles
  • Improve your model in different ways by weighting your data

Features

  • Python library, local environment and web-based UI
  • No data duplication
  • No upload of data to SaaS
  • High-end visualization, insights, and real-time editing of data
  • Get massive amounts of intelligence with just a few lines of code
  • Works seamlessly with your model training and listens to every data point

3LC Documentation

Quickstart

pip install 3lc

Optionally clone the demo notebooks:

git clone https://github.com/3lc-ai/3lc-examples.git

Start the 3LC Object Service

The 3LC Object Service facilitates the sharing of samples and metrics between the different components in 3LC, including your notebooks and the 3LC Dashboard. It needs to be explicitly started from the terminal in order to use 3LC. The Object Service can be terminated by pressing Q from the terminal window.

3lc service

We provide some sample projects, so you can explore the Dashboard before providing your own data.

Launch 3LC Dashboard

Launch the 3LC Dashboard to explore your training runs and training data.

3LC Dashboard


Video Tutorial

Check out this short introduction on 3LC on our YouTube channel:

Getting Started with 3LC - YouTube

Support

Please join our Discord for support and discussion!

Privacy

Please see our Privacy Notice for details about your privacy.

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

3 maintainers

PyPI data
Data sourced directly from PyPI's database.
Avatar for 3lc from gravatar.com 3lc Avatar for frederik-3lc from gravatar.com frederik-3lc Avatar for kgwalke from gravatar.com kgwalke

Credits

Author: 3LC

License

Other/Proprietary License (Proprietary)

Requires

Python <3.14, <4.0, >=3.10

Provides Extra

huggingface pacmap pandas pyngrok torch umap

Classifiers

Report project as malware

Release files for 3lc 3.3.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for 3lc 3.3.2
File
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3lc-3.3.2-cp313-cp313-manylinux_2_28_x86_64.whl 12.1 MB CPython 3.13 CPython 3.13 Linux glibc 2.28+ x86-64 Details
3lc-3.3.2-cp313-cp313-manylinux_2_28_aarch64.whl 12.3 MB CPython 3.13 CPython 3.13 Linux glibc 2.28+ ARM64 Details
3lc-3.3.2-cp313-cp313-macosx_13_0_arm64.whl 10.4 MB CPython 3.13 CPython 3.13 macOS 13.0+ ARM64 Details
3lc-3.3.2-cp312-cp312-win_amd64.whl 10.4 MB CPython 3.12 CPython 3.12 Windows x86-64 Details
3lc-3.3.2-cp312-cp312-manylinux_2_28_x86_64.whl 12.1 MB CPython 3.12 CPython 3.12 Linux glibc 2.28+ x86-64 Details
3lc-3.3.2-cp312-cp312-manylinux_2_28_aarch64.whl 12.3 MB CPython 3.12 CPython 3.12 Linux glibc 2.28+ ARM64 Details
3lc-3.3.2-cp312-cp312-macosx_13_0_arm64.whl 10.4 MB CPython 3.12 CPython 3.12 macOS 13.0+ ARM64 Details
3lc-3.3.2-cp311-cp311-win_amd64.whl 10.4 MB CPython 3.11 CPython 3.11 Windows x86-64 Details
3lc-3.3.2-cp311-cp311-manylinux_2_28_x86_64.whl 12.1 MB CPython 3.11 CPython 3.11 Linux glibc 2.28+ x86-64 Details
3lc-3.3.2-cp311-cp311-manylinux_2_28_aarch64.whl 12.3 MB CPython 3.11 CPython 3.11 Linux glibc 2.28+ ARM64 Details
3lc-3.3.2-cp311-cp311-macosx_13_0_arm64.whl 10.4 MB CPython 3.11 CPython 3.11 macOS 13.0+ ARM64 Details
3lc-3.3.2-cp310-cp310-win_amd64.whl 10.4 MB CPython 3.10 CPython 3.10 Windows x86-64 Details
3lc-3.3.2-cp310-cp310-manylinux_2_28_x86_64.whl 12.1 MB CPython 3.10 CPython 3.10 Linux glibc 2.28+ x86-64 Details
3lc-3.3.2-cp310-cp310-manylinux_2_28_aarch64.whl 12.3 MB CPython 3.10 CPython 3.10 Linux glibc 2.28+ ARM64 Details
3lc-3.3.2-cp310-cp310-macosx_13_0_arm64.whl 10.4 MB CPython 3.10 CPython 3.10 macOS 13.0+ ARM64 Details

Total release size: 180.7 MB

Release files / 3lc-3.3.2-cp313-cp313-win_amd64.whl

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