| Name | Version | Summary | date |
| pgqb |
0.1.0 |
Typed Python PostgreSQL query builder using Pydantic |
2024-03-09 02:52:27 |
| pydantic-validation-formatter |
0.1.2 |
This is a package that allows to customize pydantic built-in validation error messages |
2024-03-05 08:56:20 |
| gash-client |
0.1.1 |
Client library for GraphDB Access Security Hub |
2024-03-05 08:47:09 |
| gash_client |
0.0.1 |
Client library for GraphDB Access Security Hub |
2024-03-04 08:34:05 |
| django-pydantic-jsonfield |
0.1.2 |
A Django JSONField extension using Pydantic for data validation. |
2024-03-03 04:45:15 |
| fastapi-cloudevents |
2.0.2 |
FastAPI plugin for CloudEvents Integration |
2024-02-24 19:52:18 |
| geoparquet-pydantic |
0.0.1 |
Read/write geoparquet with the geojson-pydanic models. |
2024-02-21 02:50:25 |
| pydantic-cereal |
0.0.6 |
Advanced serialization for Pydantic models |
2024-02-16 09:06:07 |
| dataclass-mapper |
1.9.3 |
Autogenerate mappings between dataclasses |
2024-02-10 16:57:14 |
| declarativex |
1.6.6 |
Declarative HTTP client for Python |
2024-02-10 10:40:09 |
| tanuki.py |
0.2.0 |
The easiest way to build scalable LLM-powered applications, which gets cheaper and faster over time. |
2024-02-05 18:35:52 |
| graphene-pydantic |
0.6.1 |
Graphene Pydantic integration |
2024-02-01 18:37:29 |
| graphene_pydantic |
0.6.0 |
Graphene Pydantic integration |
2024-01-31 03:15:52 |
| pydantic-discriminator |
0.1.0 |
Pydantic discriminators for polymorphic models |
2024-01-23 20:48:06 |
| rcs-pydantic |
2.0.0 |
|
2024-01-22 08:41:54 |
| pydantic2-argparse |
0.9.2 |
Typed Argument Parsing with Pydantic |
2024-01-18 18:45:37 |
| pydantic-args |
0.9.1 |
Typed Argument Parsing with Pydantic |
2024-01-18 16:44:08 |
| fbenum |
1.0.1 |
Library provides fallback enum functionality. Fully compatible with pydantic. |
2024-01-18 16:40:56 |
| pydantic-surql |
1.0.2 |
Pydantic Surql is a utility set to automatically convert Pydantic models to SURQL SDL definitions. |
2024-01-16 19:03:50 |
| api-service |
0.0.4 |
This library will create and validate JWT tokens and decode and validate queries against a pydantic model in input. In order to work succesfully, it needs that you have defined the following environment variables: 'JWT_SECRET' your secret key for generating tokens,'JWT_ALGORITHM' your favorite algorithm to be use to generate the tokens |
2024-01-04 17:26:57 |