Skip to main content

3LC Python Package - A tool for model-guided, interactive data debugging and enhancements

Project description


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 details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

3lc-2.16.2-cp313-cp313-win_amd64.whl (4.9 MB view details)

Uploaded CPython 3.13Windows x86-64

3lc-2.16.2-cp313-cp313-manylinux2014_x86_64.whl (5.0 MB view details)

Uploaded CPython 3.13

3lc-2.16.2-cp313-cp313-macosx_13_0_arm64.whl (4.9 MB view details)

Uploaded CPython 3.13macOS 13.0+ ARM64

3lc-2.16.2-cp312-cp312-win_amd64.whl (4.9 MB view details)

Uploaded CPython 3.12Windows x86-64

3lc-2.16.2-cp312-cp312-manylinux2014_x86_64.whl (5.0 MB view details)

Uploaded CPython 3.12

3lc-2.16.2-cp312-cp312-macosx_13_0_arm64.whl (4.9 MB view details)

Uploaded CPython 3.12macOS 13.0+ ARM64

3lc-2.16.2-cp311-cp311-win_amd64.whl (5.5 MB view details)

Uploaded CPython 3.11Windows x86-64

3lc-2.16.2-cp311-cp311-manylinux2014_x86_64.whl (5.5 MB view details)

Uploaded CPython 3.11

3lc-2.16.2-cp311-cp311-macosx_13_0_arm64.whl (5.5 MB view details)

Uploaded CPython 3.11macOS 13.0+ ARM64

3lc-2.16.2-cp310-cp310-win_amd64.whl (3.9 MB view details)

Uploaded CPython 3.10Windows x86-64

3lc-2.16.2-cp310-cp310-manylinux2014_x86_64.whl (3.9 MB view details)

Uploaded CPython 3.10

3lc-2.16.2-cp310-cp310-macosx_13_0_arm64.whl (3.9 MB view details)

Uploaded CPython 3.10macOS 13.0+ ARM64

3lc-2.16.2-cp39-cp39-win_amd64.whl (3.9 MB view details)

Uploaded CPython 3.9Windows x86-64

3lc-2.16.2-cp39-cp39-manylinux2014_x86_64.whl (3.9 MB view details)

Uploaded CPython 3.9

3lc-2.16.2-cp39-cp39-macosx_13_0_arm64.whl (3.9 MB view details)

Uploaded CPython 3.9macOS 13.0+ ARM64

File details

Details for the file 3lc-2.16.2-cp313-cp313-win_amd64.whl.

File metadata

  • Download URL: 3lc-2.16.2-cp313-cp313-win_amd64.whl
  • Upload date:
  • Size: 4.9 MB
  • Tags: CPython 3.13, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.11

File hashes

Hashes for 3lc-2.16.2-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 a24a66b63ad9feb36c69784ff3bc6cb8aca638fa28b6b8e1f8e296722b0f5c0f
MD5 d3f090f654b99f0b7026d0b02f639353
BLAKE2b-256 a17b6d68d76f01181a10012fedc5d8e851549f4970d82a3a26bcb8ec715cdc5b

See more details on using hashes here.

File details

Details for the file 3lc-2.16.2-cp313-cp313-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for 3lc-2.16.2-cp313-cp313-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 adc0af3c54709b5b2935c772a348410f275cfed06b63d2b6892af626d5dd0ebd
MD5 360c7c81de3bf7cefbd4d2ebe0229d8d
BLAKE2b-256 e330f919d8ffa5074c2ed22f2d69f51c5b9f53a45e14e47c97afdf2d776ffa2f

See more details on using hashes here.

File details

Details for the file 3lc-2.16.2-cp313-cp313-macosx_13_0_arm64.whl.

File metadata

File hashes

Hashes for 3lc-2.16.2-cp313-cp313-macosx_13_0_arm64.whl
Algorithm Hash digest
SHA256 c16c38660ae5d4a03c74c553fa74d568e08147b063d961c1b0171a7463dbbe4c
MD5 92345a2ca5654e17e145df2cb16a9e51
BLAKE2b-256 4f429fa93eab8aa385a84a333f32f31e7b42193f43ce18534a2b4fdef469e4df

See more details on using hashes here.

File details

Details for the file 3lc-2.16.2-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: 3lc-2.16.2-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 4.9 MB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.11

File hashes

Hashes for 3lc-2.16.2-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 200eaea1e90d527ebaa84cd34c18e2d12c1200de80f0b71c269add3385b8d0d1
MD5 8a6255d78ae01e2db6abefeaf5d09991
BLAKE2b-256 2675c6367ff137d60f54ee00ddfd0fe425d0309873b0e358c06b020dab6a0b18

See more details on using hashes here.

File details

Details for the file 3lc-2.16.2-cp312-cp312-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for 3lc-2.16.2-cp312-cp312-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c250df5402164d0ee13ce9fd31fa937e920c187326f283f0ac32bd02fa14d695
MD5 f3014c15194c63ea294256256955ef30
BLAKE2b-256 58ad2a6f11968b2723c6d53c60c92443569fb2f43b985befd3db980a2a4796bc

See more details on using hashes here.

File details

Details for the file 3lc-2.16.2-cp312-cp312-macosx_13_0_arm64.whl.

File metadata

File hashes

Hashes for 3lc-2.16.2-cp312-cp312-macosx_13_0_arm64.whl
Algorithm Hash digest
SHA256 a15a4b2ab9e0c47479818859a1b7680c778c12455baf309560092c635f02cd44
MD5 80099623edb190c6af0bd05e3655dd28
BLAKE2b-256 bb8f152265569daca9ebbb333ba050a9558408013a3d3e07c84bf0f1b40247a5

See more details on using hashes here.

File details

Details for the file 3lc-2.16.2-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: 3lc-2.16.2-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 5.5 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.11

File hashes

Hashes for 3lc-2.16.2-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 d4f1208259b0feea36d06b06b92cff3f912a0a10a2a714b122f02c4eedad8c91
MD5 fab12dbc8f2a6a20d35b99e65a651ff0
BLAKE2b-256 deab9643cbf6ffc8b8e744fa17f73bd15c90b6462955827eb6dfa4ef52820366

See more details on using hashes here.

File details

Details for the file 3lc-2.16.2-cp311-cp311-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for 3lc-2.16.2-cp311-cp311-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 af6124faa8b1f97599cd3eeb6b19b26407cd47655aac34b4f187b49f3bca874b
MD5 a3037f2a0191267cd8575d4333509be0
BLAKE2b-256 ce1f5207c8dae8e97aaf65f6d606a41c78829621483e0910e07339002893056c

See more details on using hashes here.

File details

Details for the file 3lc-2.16.2-cp311-cp311-macosx_13_0_arm64.whl.

File metadata

File hashes

Hashes for 3lc-2.16.2-cp311-cp311-macosx_13_0_arm64.whl
Algorithm Hash digest
SHA256 7362b95f8be0c164887b7c1c970df9cfe2224721ff41bf0af986915ce1e2fe00
MD5 a247305ff0bde834d5959b916c8871f6
BLAKE2b-256 4279edf5ad3dd552e8e7ebb925cf2ae19796a8162a6450f511bc8e59d33aa300

See more details on using hashes here.

File details

Details for the file 3lc-2.16.2-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: 3lc-2.16.2-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 3.9 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.11

File hashes

Hashes for 3lc-2.16.2-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 c19a1c5b79c44a8585e407b87797e4cf04f7ed1d5f3aeade1f22ce125a6f9aa1
MD5 23bc22be6476508a9d88ca5021d7e5d5
BLAKE2b-256 a13c7cf7fe616145f4dfb0e53c0bc807afea06295e482aecee8cb2764e333920

See more details on using hashes here.

File details

Details for the file 3lc-2.16.2-cp310-cp310-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for 3lc-2.16.2-cp310-cp310-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e9bf70ce622c24a4ab93deca5c51bc57c71cd9390a9cb23077763dc6826d561a
MD5 1ef26643a5a56e73d08a79c26b0ad4b6
BLAKE2b-256 066564da30fcf67c23eef6634f997159e45955580874da9f2935daeb08bdf984

See more details on using hashes here.

File details

Details for the file 3lc-2.16.2-cp310-cp310-macosx_13_0_arm64.whl.

File metadata

File hashes

Hashes for 3lc-2.16.2-cp310-cp310-macosx_13_0_arm64.whl
Algorithm Hash digest
SHA256 fed13567a03aa27e6918c789d1904ddb19e27818fafb503d6a09574881b612c3
MD5 7b45354705ae735952db9060650a8c64
BLAKE2b-256 db7d56e70256df9a43e640632a00d2579ab2112aea9e4f2f39355ba97269b8bc

See more details on using hashes here.

File details

Details for the file 3lc-2.16.2-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: 3lc-2.16.2-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 3.9 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.11

File hashes

Hashes for 3lc-2.16.2-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 315f689e7ca2ab0d4c77db1c71bac18010e96f3bb82609057e27d7a47742a32d
MD5 6d78e5623ca720d58f78c42fdc585715
BLAKE2b-256 7345933feda5dada226cdbc30d288679a46e157c0416cb463d98cfbee3480f7e

See more details on using hashes here.

File details

Details for the file 3lc-2.16.2-cp39-cp39-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for 3lc-2.16.2-cp39-cp39-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 4c0e04a71142b9785b43bf1e7c60f37a5912172e6cbba44739543480b8925a34
MD5 5bb331d731519264f65282af5b901250
BLAKE2b-256 2552f2bc190b4fa98a79f93e7eb4e4cdaddadb310b3d095f3b74a68ce20873f0

See more details on using hashes here.

File details

Details for the file 3lc-2.16.2-cp39-cp39-macosx_13_0_arm64.whl.

File metadata

  • Download URL: 3lc-2.16.2-cp39-cp39-macosx_13_0_arm64.whl
  • Upload date:
  • Size: 3.9 MB
  • Tags: CPython 3.9, macOS 13.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.11

File hashes

Hashes for 3lc-2.16.2-cp39-cp39-macosx_13_0_arm64.whl
Algorithm Hash digest
SHA256 5e2db73f327c29da7272b7ecfb58d4fa7ccd088a6aaef3a7c6b077334fa57486
MD5 2aa02f5f41be43baa04c407ac7a15e7b
BLAKE2b-256 15ce110c70e9cacbe5a2b101591bb263ac2969f52e73ac9ddefe0bc97c4afa98

See more details on using hashes here.

Supported by

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