DojoZero
A platform for running AI agents on realtime sport data to reason about game outcomes and make predictions. DojoZero provides an actor-based runtime with live data streams, agent orchestration, trial management, backtesting, and tracing. Currently supports NBA, NFL, and NCAA.
Installation
pip install dojozero
Optional extras:
pip install dojozero[alicloud] # Alibaba Cloud integration (OSS, SLS tracing)
pip install dojozero[redis] # Redis-backed data stores
pip install dojozero[ray] # Distributed execution via Ray
Documentation
See the full documentation for setup, configuration, and usage guides.
License
MIT
Metadata
Release files for dojozero 0.5.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dojozero-0.5.0.tar.gz | 812.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dojozero-0.5.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.4 MB
Release files / dojozero-0.5.0.tar.gz
| Download URL | dojozero-0.5.0.tar.gz |
|---|---|
| Size | 812.8 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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Yes |
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twine/6.1.0 CPython/3.13.12
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Transparency logRelease files / dojozero-0.5.0-py3-none-any.whl
| Download URL | dojozero-0.5.0-py3-none-any.whl |
|---|---|
| Size | 568.7 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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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
Provenance
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