Axalense
Axalense is a framework developed at Axamine ai for image analysis and various other Vision langauge task its tool built with Groq technology. It enables developers to easily analyze and moderate images using intelligent visual recognition and natural language prompts.
Ideal for content moderation, compliance, and automated visual understanding workflows.
✨ Features
- 🔍 AI-Powered Moderation using Groq
- ⚡ Fast and lightweight
- 🖼️ Simple image analysis with custom prompts
- 📦 Easy integration in Python apps and moderation pipelines
📦 Installation
pip install Axalense
from Axalense import axavision
if __name__ == "__main__":
result = axavision.analyze_image("image-path", "Prompt", "YOUR_API_KEY")
print(result)
Metadata
Release files for Axalense 1.2.87
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| axalense-1.2.87.tar.gz | 3.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| Axalense-1.2.87-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.9 kB
Release files / axalense-1.2.87.tar.gz
| Download URL | axalense-1.2.87.tar.gz |
|---|---|
| Size | 3.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.4
|
Release files / Axalense-1.2.87-py3-none-any.whl
| Download URL | Axalense-1.2.87-py3-none-any.whl |
|---|---|
| Size | 4.5 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 | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.4
|