Babaji is a lightweight Python library designed to simplify predictions using pre-trained machine learning models. With its user-friendly interface, Babaji enables developers and enthusiasts to integrate predictive analytics into projects with minimal effort.
Release files for Babaji 2.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| babaji-2.0.2.tar.gz | 2.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| Babaji-2.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 5.2 kB
Release files / babaji-2.0.2.tar.gz
| Download URL | babaji-2.0.2.tar.gz |
|---|---|
| Size | 2.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
b779fc426728ea6a2fc9d35da8a8087a700695ce6a204e2f23268958734a3e59
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BLAKE2b-256 checksum How to use checksums |
1d92ae684b0d3f806bbfeab4ab480a06579f2e76486ebe7d0f471f17694db365
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.0.1 CPython/3.12.7
|
Release files / Babaji-2.0.2-py3-none-any.whl
| Download URL | Babaji-2.0.2-py3-none-any.whl |
|---|---|
| Size | 2.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
f499245e1133cb33863c7f4291f66843bbf2486784241fcb6263bf23b6831710
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|
BLAKE2b-256 checksum How to use checksums |
19744b31b77bd1737bd4596c062b79dd80a3d6839249f555b8ed0160930cb3f3
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.0.1 CPython/3.12.7
|