machinable is a content-addressed system for research code. You write an experiment once; running it, reloading its results, and asking questions of them are the same gesture. A run's identity is its module and configuration, so identical runs deduplicate, sweeps are incremental, and results stay reachable from code with no run names or paths to track.
from machinable import get
get("train", {"lr": 0.1}).launch() # runs it ...
get("train", {"lr": 0.1}).loss() # ... or reads it back
Installation
pip install machinable
Documentation
Visit machinable.org to get started.
1 maintainer
Metadata
1 maintainer
Release files for machinable 5.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| machinable-5.1.0.tar.gz | 913.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| machinable-5.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.4 MB
Release files / machinable-5.1.0.tar.gz
| Download URL | machinable-5.1.0.tar.gz |
|---|---|
| Size | 913.3 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/7.0.0 CPython/3.13.14
|
Release files / machinable-5.1.0-py3-none-any.whl
| Download URL | machinable-5.1.0-py3-none-any.whl |
|---|---|
| Size | 475.7 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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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
