Skip to main content

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

Reason this release was yanked:

Performance issues with indexing network storage

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-2.10.0-cp312-cp312-win_amd64.whl (4.2 MB view details)

Uploaded CPython 3.12Windows x86-64

3lc-2.10.0-cp312-cp312-manylinux2014_x86_64.whl (4.2 MB view details)

Uploaded CPython 3.12

3lc-2.10.0-cp312-cp312-macosx_13_0_arm64.whl (4.1 MB view details)

Uploaded CPython 3.12macOS 13.0+ ARM64

3lc-2.10.0-cp311-cp311-win_amd64.whl (4.6 MB view details)

Uploaded CPython 3.11Windows x86-64

3lc-2.10.0-cp311-cp311-manylinux2014_x86_64.whl (4.6 MB view details)

Uploaded CPython 3.11

3lc-2.10.0-cp311-cp311-macosx_13_0_arm64.whl (4.6 MB view details)

Uploaded CPython 3.11macOS 13.0+ ARM64

3lc-2.10.0-cp310-cp310-win_amd64.whl (3.3 MB view details)

Uploaded CPython 3.10Windows x86-64

3lc-2.10.0-cp310-cp310-manylinux2014_x86_64.whl (3.4 MB view details)

Uploaded CPython 3.10

3lc-2.10.0-cp310-cp310-macosx_13_0_arm64.whl (3.3 MB view details)

Uploaded CPython 3.10macOS 13.0+ ARM64

3lc-2.10.0-cp39-cp39-win_amd64.whl (3.3 MB view details)

Uploaded CPython 3.9Windows x86-64

3lc-2.10.0-cp39-cp39-manylinux2014_x86_64.whl (3.3 MB view details)

Uploaded CPython 3.9

3lc-2.10.0-cp39-cp39-macosx_13_0_arm64.whl (3.3 MB view details)

Uploaded CPython 3.9macOS 13.0+ ARM64

3lc-2.10.0-cp38-cp38-win_amd64.whl (3.3 MB view details)

Uploaded CPython 3.8Windows x86-64

3lc-2.10.0-cp38-cp38-manylinux2014_x86_64.whl (3.3 MB view details)

Uploaded CPython 3.8

File details

Details for the file 3lc-2.10.0-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: 3lc-2.10.0-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 4.2 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-2.10.0-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 c0fe1d68aa5aab62129cdccbc9cfa8aeedb3e8314140db6e7e54b9f397e081d9
MD5 cbaea9c8c98fb0f8a7efd595ab6c4947
BLAKE2b-256 25882c8b63941cd554d21b0e22bc35f4a6b377930e5e37834e2622e642aeef16

See more details on using hashes here.

File details

Details for the file 3lc-2.10.0-cp312-cp312-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for 3lc-2.10.0-cp312-cp312-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a13e99876154f655b33ab4acdb3f330e612b4a53fe4c3b601814c656adb4563d
MD5 21ab374555465c88dd5036e88a5c4fb0
BLAKE2b-256 044408553b297d38d1917be41707260adb12d8d3834c7f20583b4db77d06c4df

See more details on using hashes here.

File details

Details for the file 3lc-2.10.0-cp312-cp312-macosx_13_0_arm64.whl.

File metadata

File hashes

Hashes for 3lc-2.10.0-cp312-cp312-macosx_13_0_arm64.whl
Algorithm Hash digest
SHA256 c59e93e25ce33c8e8baa0ead44c328db5f9fe243c90f998e6b9206ce6fe9eba7
MD5 61614669afb4cf107dd06990314decd1
BLAKE2b-256 23518141da05bbf22d3ba9b8422e1bb1553774f0b48c07635fa1dc90e0f95809

See more details on using hashes here.

File details

Details for the file 3lc-2.10.0-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: 3lc-2.10.0-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 4.6 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-2.10.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 7f3b4292b73c188a0fa64911cc2c1802657f2d32da66de5ac51b1b3e93c70cc2
MD5 2f98b59df234653a052fa51d067cfe98
BLAKE2b-256 5942f4ebbebd718677ae221bf2c7f531a4f147259bd0116ffab9d424cbdc7aa2

See more details on using hashes here.

File details

Details for the file 3lc-2.10.0-cp311-cp311-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for 3lc-2.10.0-cp311-cp311-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5a0d1892969d803f025ecc19a454eb52cec02408381c6fb838a2c8ffef4aa370
MD5 52900fe210eeec72d1b86823d53577de
BLAKE2b-256 0d5c546cf3b0c9877660d56d525de08c9960431af48524f6e1f7bb3d349cf0bf

See more details on using hashes here.

File details

Details for the file 3lc-2.10.0-cp311-cp311-macosx_13_0_arm64.whl.

File metadata

File hashes

Hashes for 3lc-2.10.0-cp311-cp311-macosx_13_0_arm64.whl
Algorithm Hash digest
SHA256 098ed60c56d97432d6c1f40d4a53c7d7811fee4dcce208670a65d4aa5ceaf3b7
MD5 a4cb036179a18f67a06c74d9c8ef9e5b
BLAKE2b-256 f434559035467409649039ad7a23c89ff99eb9cd9d9f819ebf272d7f67819e0f

See more details on using hashes here.

File details

Details for the file 3lc-2.10.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: 3lc-2.10.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 3.3 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-2.10.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 deae6a840ec8b099f568b6bcc75dd9cc910356cd987e18ceb6ee1b35fad952b0
MD5 1cb128ce53ac7cac46808039d56f6e13
BLAKE2b-256 e76f1983ac958c52a89706cc98490f078ebe437220ec660149c7241b84e1a7d1

See more details on using hashes here.

File details

Details for the file 3lc-2.10.0-cp310-cp310-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for 3lc-2.10.0-cp310-cp310-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 14360522868c415f3dc0b9fab9ce28f3354cef6d06e3b51e377043b23d170dd7
MD5 efdd1982882642a48496bd2c2ffd410f
BLAKE2b-256 83d4c16489ac76be457006a735485b9016322e639598d1ba83ea48ef9432c878

See more details on using hashes here.

File details

Details for the file 3lc-2.10.0-cp310-cp310-macosx_13_0_arm64.whl.

File metadata

File hashes

Hashes for 3lc-2.10.0-cp310-cp310-macosx_13_0_arm64.whl
Algorithm Hash digest
SHA256 5e1ad7c654f08294fa386d299414fa668caa68c688d0eb7bd8550a5f5913fc2e
MD5 72e2a474c31352ccd604cba59f6c0adb
BLAKE2b-256 654b761da487526d20c6890fbd9d95e41e6ac98038cf32ab2099bb8a5c179925

See more details on using hashes here.

File details

Details for the file 3lc-2.10.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: 3lc-2.10.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 3.3 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-2.10.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 c293855f117990e7d4a040300aaddd12b555cd9543fc301c519690869c28005b
MD5 88a38c3154c95984ecfb8ae401156092
BLAKE2b-256 69e05ac0c69a393b63f1ebf5cba7e3978275bf405692dd2ec025ce6afc2046a9

See more details on using hashes here.

File details

Details for the file 3lc-2.10.0-cp39-cp39-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for 3lc-2.10.0-cp39-cp39-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ff41f083fc5bceac6b326842637e2834fa677476797fcd1a4b6005b96829a4f3
MD5 033d8a093c2f27ece6e8e3de5680cda2
BLAKE2b-256 aabad8e975955d2b3b858babbe9d3c64bba804044688f158f172a171a8ba11d5

See more details on using hashes here.

File details

Details for the file 3lc-2.10.0-cp39-cp39-macosx_13_0_arm64.whl.

File metadata

  • Download URL: 3lc-2.10.0-cp39-cp39-macosx_13_0_arm64.whl
  • Upload date:
  • Size: 3.3 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-2.10.0-cp39-cp39-macosx_13_0_arm64.whl
Algorithm Hash digest
SHA256 8f791941576d35ed28420123108a2f6201c781dc4a9ac756c6757f07d4802fe0
MD5 a29bcd714958c467f60a07b313e705d7
BLAKE2b-256 d6049e674e5491f5a591076d24bbbc98842438a18bbf677afd44d3cc73e5da0b

See more details on using hashes here.

File details

Details for the file 3lc-2.10.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: 3lc-2.10.0-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-2.10.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 35a4997e1e35e34fb74491719c26594cfe31d0830f97b91954706245d5d39437
MD5 23a9b97086081d3debed68b90388e034
BLAKE2b-256 ab105cbe434f038ff627156e04874484e73b9d05ce85123c98ee777dcd3ebc08

See more details on using hashes here.

File details

Details for the file 3lc-2.10.0-cp38-cp38-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for 3lc-2.10.0-cp38-cp38-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5d2f211835344791933eac00ecff45fda17b2e3cbe2f36ffd2b2d82ba7cf3f28
MD5 03afc4508672442ba4446d5793199067
BLAKE2b-256 8bcb3e6b062891b4f1199b626a0d16bf8ba87ee94c09bfefd52c12bdf49fc6bf

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