orange3-ollama

This provides a collection of widgets that leverage Ollama to perform various data mining tasks.

Installation

Within the Add-ons installer, click on "Add more..." and type in orange3-ollama

Widgets

All 5 Ollama-based widgets on the canvas

Ollama Text Classifier

Inputs: Corpus
Outputs: Annotated corpus with predicted categories

Example Orange3 workflow using the Ollama Text Classification widget to determine if a line from the show Friends is male, female, or neutral.

Ollama Sentiment Analyzer

Inputs: Corpus
Outputs: Annotated corpus with sentiment labels

Example Orange3 workflow using the Ollama Sentiment Analysis widget to determine the sentiment of a line from the show Friends as positive, negative, or neutral.

Ollama Summarizer

Inputs: Corpus
Outputs: Annotated corpus with summary column

Example Orange3 workflow using the Ollama Summarizer widget to generate a short summary of stories from the Andersen text corpus.

Ollama Analysis Suggester

Inputs: Table
Outputs: None, it displays it's suggestion within the widget.

Example Orange3 workflow using the Ollama Analysis Suggester widget to generate suggestions for types of analysis to apply to the Titantic dataset.

Python Script Generator

Inputs: Table
Outputs: Table

Example Orange3 workflow using the Python Script Generator widget to generate a python script based on a prompt to skip every other row of input and to add 2 to every numerical colum. This is applied to the Iris dataset.

Development Status
- 3 - Alpha
Intended Audience
- Education
- Science/Research
Programming Language
- Python :: 3 :: Only

Release files for orange3-ollama 0.0.3

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

Source distribution (sdist)

Source distribution for orange3-ollama 0.0.3
File	Size	Uploaded
orange3_ollama-0.0.3.tar.gz	50.4 kB	May 3, 2025	Details

Built distribution (wheel)

Table of built distributions (wheels) for orange3-ollama 0.0.3
File	Interpreter	ABI	Platform	Reset
orange3_ollama-0.0.3-py3-none-any.whl 68.6 kB May 3, 2025	Python 3	none	any	Details

Total release size: 119.0 kB

Release files / orange3_ollama-0.0.3.tar.gz

Download URL	orange3_ollama-0.0.3.tar.gz
Size	50.4 kB
Tags	Source
SHA-256 checksum How to use checksums	`08d203d0e0f7b88215ab67623efdc5e97fda31ec4edb0fc148594c44a75317d3`
BLAKE2b-256 checksum How to use checksums	`eb5a13e061f6ec37e276d6443c05ef7cdcc63b3964e24689825e3c2101b34f05`
Upload date	May 3, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.1.0 CPython/3.12.0`

Release files / orange3_ollama-0.0.3-py3-none-any.whl

Download URL	orange3_ollama-0.0.3-py3-none-any.whl
Size	68.6 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`75b6f774f86b5ec5d1d7792b5cf2fba95806600fbf7496e2ea0c63c87361fa99`
BLAKE2b-256 checksum How to use checksums	`1a78f3312a0072209dba2592660b0fdd3061106c1047a49faa7a2c15b79fbe3b`
Upload date	May 3, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.1.0 CPython/3.12.0`