wordslab-notebooks-lib
Introduction
wordslab-notebooks-lib is a companion library for wordslab-notebooks.
wordslab-notebooks is a one click install of all the tools you need to learn, explore and build AI applications on your own machine. - Recent and compatible versions of the best open source tools - Optimized work environment to save disk space and memory - Options to leverage your own machines at home or to rent more powerful machines in the cloud - Documentation to guide you in your AI learning and exploration journey
3 main applications - A rich chat interface (text, images, voice) : Open WebUI - A notebooks platform (text & code) : JupyterJab + Jupyter AI extension - A development environment (code) : Visual Studio Code + Continue.dev extension + Aider terminal agent
Fully integrated AI environment with - A visual dashboard to help you navigate all applications and manage your machine resources - Optimized inference engines to run AI models : Ollama + vLLM
wordslab-notebooks-lib is meant to be used in Jupyterlab notebooks or python programs running inside the wordslab-notebooks environment.
It provides many helper functions to easily access and use all the applications and resources of the environment.
Getting started
Installation
$ pip install wordslab_notebooks_lib
Documentation
Please read the documentation to discover all the features of the library:
https://wordslab-org.github.io/wordslab-notebooks-lib/
First steps
The
WordslabNotebooks
class is the main entrypoint to discover all wordslab-notebooks
resources.
from wordslab_notebooks_lib.core import *
wlnb = WordslabNotebooks()
wordslab-notebooks version
wlnb.version
'2025-11'
wordslab-notebooks external urls
wlnb.url_dashboard
'http://192.168.1.197:8888'
wlnb.url_userapp1
'https://192.168.1.197:8883'
wordslab-notebooks internal ports
wlnb.port_ollama
11434
wlnb.port_userapp1
'8883'
wordslab-notebooks install directories
wlnb.dir_scripts
'/home/wordslab-notebooks-2025-11'
wlnb.dir_workspace
'/home/workspace'
wordslab-notebooks applications data directories
wlnb.dir_openwebui_data
'/home/workspace/.openwebui'
wlnb.dir_jupyterlab_data
'/home/workspace/.jupyter'
wordslab-notebooks models directories
wlnb.dir_models_ollama
'/home/models/ollama'
wlnb.dir_models_vllm
'/home/models/huggingface'
wordslab-notebooks default models
wlnb.default_model_chat
'gemma3:27b'
wlnb.default_model_code
'qwen3:30b'
Metadata
Release files for wordslab-notebooks-lib 0.0.17
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| wordslab_notebooks_lib-0.0.17.tar.gz | 61.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| wordslab_notebooks_lib-0.0.17-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 134.8 kB
Release files / wordslab_notebooks_lib-0.0.17.tar.gz
| Download URL | wordslab_notebooks_lib-0.0.17.tar.gz |
|---|---|
| Size | 61.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.2.0 CPython/3.12.12
|
Release files / wordslab_notebooks_lib-0.0.17-py3-none-any.whl
| Download URL | wordslab_notebooks_lib-0.0.17-py3-none-any.whl |
|---|---|
| Size | 73.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.12
|