Worlds
Gymnasium-like environments for web worlds
Coming Soon
Worlds is a Python library that provides Gymnasium-compatible environments for training AI agents on web-based tasks. Think of it as OpenAI Gym/Gymnasium, but for simulated web applications and APIs.
Vision
- Simulated Web Environments: Interact with web application clones (Gmail, social media, e-commerce, etc.)
- Dual Interface: Both visual UI and programmatic API access to environment data
- Multimodal Observations: Support for screenshots, DOM/HTML, and accessibility tree representations
- Flexible Action Spaces: High-level semantic actions and low-level input simulation
- Gymnasium Compatible: Full compatibility with the Gymnasium API for seamless integration with RL frameworks
Installation
pip install worlds
Quick Start
import worlds
# More coming soon!
Status
This package is currently in early development. Stay tuned for updates!
License
MIT
1 maintainer
Release files for worlds-py 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| worlds_py-0.0.1.tar.gz | 7.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| worlds_py-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 13.2 kB
Release files / worlds_py-0.0.1.tar.gz
| Download URL | worlds_py-0.0.1.tar.gz |
|---|---|
| Size | 7.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / worlds_py-0.0.1-py3-none-any.whl
| Download URL | worlds_py-0.0.1-py3-none-any.whl |
|---|---|
| Size | 6.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
uv/0.8.12
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