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-2.11.1-cp312-cp312-win_amd64.whl (4.3 MB view details)

Uploaded CPython 3.12Windows x86-64

3lc-2.11.1-cp312-cp312-manylinux2014_x86_64.whl (4.3 MB view details)

Uploaded CPython 3.12

3lc-2.11.1-cp312-cp312-macosx_13_0_arm64.whl (4.2 MB view details)

Uploaded CPython 3.12macOS 13.0+ ARM64

3lc-2.11.1-cp311-cp311-win_amd64.whl (4.7 MB view details)

Uploaded CPython 3.11Windows x86-64

3lc-2.11.1-cp311-cp311-manylinux2014_x86_64.whl (4.8 MB view details)

Uploaded CPython 3.11

3lc-2.11.1-cp311-cp311-macosx_13_0_arm64.whl (4.7 MB view details)

Uploaded CPython 3.11macOS 13.0+ ARM64

3lc-2.11.1-cp310-cp310-win_amd64.whl (3.4 MB view details)

Uploaded CPython 3.10Windows x86-64

3lc-2.11.1-cp310-cp310-manylinux2014_x86_64.whl (3.4 MB view details)

Uploaded CPython 3.10

3lc-2.11.1-cp310-cp310-macosx_13_0_arm64.whl (3.4 MB view details)

Uploaded CPython 3.10macOS 13.0+ ARM64

3lc-2.11.1-cp39-cp39-win_amd64.whl (3.4 MB view details)

Uploaded CPython 3.9Windows x86-64

3lc-2.11.1-cp39-cp39-manylinux2014_x86_64.whl (3.4 MB view details)

Uploaded CPython 3.9

3lc-2.11.1-cp39-cp39-macosx_13_0_arm64.whl (3.4 MB view details)

Uploaded CPython 3.9macOS 13.0+ ARM64

3lc-2.11.1-cp38-cp38-win_amd64.whl (3.3 MB view details)

Uploaded CPython 3.8Windows x86-64

3lc-2.11.1-cp38-cp38-manylinux2014_x86_64.whl (3.4 MB view details)

Uploaded CPython 3.8

File details

Details for the file 3lc-2.11.1-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: 3lc-2.11.1-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 4.3 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-2.11.1-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 e54f8ee3e7471bce67357177322723bf45e141ba62348ba161ed07580e65abb3
MD5 39b7879269ce1b65be69c2940a2e9f3e
BLAKE2b-256 8b5c10f14452062eac076a232701fa2af9920dea3cdab2d7a008fd09e18e5eaa

See more details on using hashes here.

File details

Details for the file 3lc-2.11.1-cp312-cp312-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for 3lc-2.11.1-cp312-cp312-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 58f784d0862767e0a1f93a966436f68dfbe59ed00e845b68fff37d6518abb598
MD5 472f78df98d8e733f407780daf11b947
BLAKE2b-256 3b6a86915b23416ba864c7e1d43014686cd675e011cecd509e5ff24feb2b4442

See more details on using hashes here.

File details

Details for the file 3lc-2.11.1-cp312-cp312-macosx_13_0_arm64.whl.

File metadata

File hashes

Hashes for 3lc-2.11.1-cp312-cp312-macosx_13_0_arm64.whl
Algorithm Hash digest
SHA256 f8efab8d23e09a5d9ff2c67c25da6e9f160c1bacf8055abf3cc582b0e3b24bec
MD5 b47c507c12cb79ac076e787d6180aa6e
BLAKE2b-256 27b7e77d33261b5d4b61a3e8b047c27342fe549f5f0bd2538b6574b6bc176678

See more details on using hashes here.

File details

Details for the file 3lc-2.11.1-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: 3lc-2.11.1-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 4.7 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-2.11.1-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 cf5ffadc46f4b3f6c63385c7599a488c8e2fa5d7621a21f089f53f3afc56d788
MD5 09c7d72192a120e89b229ed086e205b7
BLAKE2b-256 a8303d82a2a0ab2e46e0134aad986be035eaa5d6fde9103041f8e0a4da173e1e

See more details on using hashes here.

File details

Details for the file 3lc-2.11.1-cp311-cp311-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for 3lc-2.11.1-cp311-cp311-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 87ffba4dca13a90e99019e29ea68a6007b0ebeaaf0eee75221babf1f2f2da1c0
MD5 a15061c7e5f98eec16f068df077acab8
BLAKE2b-256 815c090a3931bc55adf35d566fcb4096834e976a8d4b623e7a056e2c15fcd366

See more details on using hashes here.

File details

Details for the file 3lc-2.11.1-cp311-cp311-macosx_13_0_arm64.whl.

File metadata

File hashes

Hashes for 3lc-2.11.1-cp311-cp311-macosx_13_0_arm64.whl
Algorithm Hash digest
SHA256 4f30a5968976f3a44832ee54ae00563d72d17c7053d5b335e22536370db1dfa3
MD5 23a48e4684d4a75c792ba3906453081b
BLAKE2b-256 3dbfb63608f4ce481bab288a06ffe35f0c6a41d3daa63aaa728acac54d912d92

See more details on using hashes here.

File details

Details for the file 3lc-2.11.1-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: 3lc-2.11.1-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 3.4 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-2.11.1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 46311143ee6bdd13a3f1afe735980b4788538c0030fa306a050f2a474998eb5b
MD5 9db6dbc8bc9f638ed58c76915ffda70e
BLAKE2b-256 9ad27354a40cb37b6ed007a471c09d41fb1c9448191239718d6afc70b07b3366

See more details on using hashes here.

File details

Details for the file 3lc-2.11.1-cp310-cp310-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for 3lc-2.11.1-cp310-cp310-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9c5e28b8475ba61e9d8f4c30c1ec3addd57f0dc02dfe9760021e8ded06befe48
MD5 c3fce7bc9cd688e57aba1b5ba34716b0
BLAKE2b-256 85891fd8d468eb3f591a84b593da24ba94ab7bc569d16a5fd77c0ddf0616325e

See more details on using hashes here.

File details

Details for the file 3lc-2.11.1-cp310-cp310-macosx_13_0_arm64.whl.

File metadata

File hashes

Hashes for 3lc-2.11.1-cp310-cp310-macosx_13_0_arm64.whl
Algorithm Hash digest
SHA256 9bb725f85583d6d2575527f4471ed997f12297ef1251e725a2ee9dbe94fcec8a
MD5 07c791b91ff4766334c2ac57a48b03f1
BLAKE2b-256 d3489a50999fc99a8061cc0c84333ef625e29758438e3ad1d7a797e1e99c4b2b

See more details on using hashes here.

File details

Details for the file 3lc-2.11.1-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: 3lc-2.11.1-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 3.4 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-2.11.1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 e6a1492cbc299d46d914ab143197c8ad0c84539b531bdc454d86e7e95b048723
MD5 1e85f5934e94f5d251ba9c5d2ff96f69
BLAKE2b-256 a54a132960267204dddd657e2e39f03968509d12bc0866cf3b329d6dedf22f97

See more details on using hashes here.

File details

Details for the file 3lc-2.11.1-cp39-cp39-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for 3lc-2.11.1-cp39-cp39-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 8d96159974aeec0fbf784bd523251e523bdc0f55e01d8701850267f6a940e3e3
MD5 fb8144966039b6b67a2dad2b708cd3fa
BLAKE2b-256 e81abc81abee6fd80f09bf72a94cec63947da9e435076e6e35c164e136c2eaf1

See more details on using hashes here.

File details

Details for the file 3lc-2.11.1-cp39-cp39-macosx_13_0_arm64.whl.

File metadata

  • Download URL: 3lc-2.11.1-cp39-cp39-macosx_13_0_arm64.whl
  • Upload date:
  • Size: 3.4 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-2.11.1-cp39-cp39-macosx_13_0_arm64.whl
Algorithm Hash digest
SHA256 5124e2c7f5c2e8f183a7d6163b8ff3a2754280f91aac509cf12694ebd013533c
MD5 3d9d9e507f29fb833bca608ba13418e8
BLAKE2b-256 977fa64648219c5f688ce7a09440c79ceca0f1427c60bd1403a55cfc8e962fd6

See more details on using hashes here.

File details

Details for the file 3lc-2.11.1-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: 3lc-2.11.1-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 3.3 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.11

File hashes

Hashes for 3lc-2.11.1-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 8be35bc846137027479aa6852f7d6a47ab23948c57e676c039776d2a4f22937b
MD5 a562835980a974eedc66feeab2316460
BLAKE2b-256 ec18e71b2d011e03ad0193fd0c76460f15cedc4871de9684d223d2e61b0ad70a

See more details on using hashes here.

File details

Details for the file 3lc-2.11.1-cp38-cp38-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for 3lc-2.11.1-cp38-cp38-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c7687b2a7513945dfc04db1c271ca3c35dbe73a775e33987ea738a2524af0a59
MD5 f86ec157c88261bed3008eaacc687a06
BLAKE2b-256 cceae46f1998558c39bb3f26ab1d9c990a33e68819c31e092374ed968cfdba1c

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