🚧 TONL - Python Implementation (Coming Soon)
Name Reserved - Full release in development
This is a placeholder package to reserve the tonl name on PyPI.
🎯 What is TONL?
Token-Optimized Notation Language - A compact data format for reducing LLM token usage.
Based on the TONL specification from tonl.dev, this is a Python implementation with MCP (Model Context Protocol) integration.
📦 Current Status
This package is currently a placeholder. The full Python SDK is in active development.
Available Now:
- TypeScript/JavaScript implementation:
npm install @kryptomrx/tonl-mcp-bridge - MCP Server with REST API
- Docker deployment
🔜 Coming Soon
The full Python package will include:
- Simple API:
tonl.encode(data) - Pandas integration:
tonl.from_dataframe(df) - Type detection and optimization
- CLI tools
- Jupyter notebook support
🔗 Links
- Documentation: https://tonl-mcp-bridge-docs.vercel.app
- GitHub: https://github.com/kryptomrx/tonl-mcp-bridge
- Original Specification: https://tonl.dev
⏱️ Timeline
Full Python SDK release: Coming in 2025
Follow the GitHub repository for updates!
This package reserves the name for the upcoming Python implementation of TONL.
1 maintainer
Metadata
1 maintainer
Release files for tonl-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 | |
|---|---|---|---|
| tonl_py-0.0.1.tar.gz | 3.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tonl_py-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.3 kB
Release files / tonl_py-0.0.1.tar.gz
| Download URL | tonl_py-0.0.1.tar.gz |
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| Size | 3.0 kB |
| Tags | Source |
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No |
| Uploaded via |
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Release files / tonl_py-0.0.1-py3-none-any.whl
| Download URL | tonl_py-0.0.1-py3-none-any.whl |
|---|---|
| Size | 3.3 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.0
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