| rjsf-team/react-jsonschema-form |
13,384 |
|
566 |
308 |
about 2 years ago |
103 |
December 16, 2019 |
279 |
apache-2.0 |
TypeScript |
| A React component for building Web forms from JSON Schema. |
| open-metadata/OpenMetadata |
3,512 |
|
0 |
3 |
about 2 years ago |
240 |
December 07, 2023 |
473 |
apache-2.0 |
TypeScript |
| Open Standard for Metadata. A Single place to Discover, Collaborate and Get your data right. |
| deepchecks/deepchecks |
3,206 |
|
0 |
6 |
about 2 years ago |
55 |
October 11, 2023 |
263 |
other |
Python |
| Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production. |
| pyeve/cerberus |
3,046 |
|
754 |
386 |
over 2 years ago |
27 |
August 09, 2023 |
12 |
isc |
Python |
| Lightweight, extensible data validation library for Python |
| unionai-oss/pandera |
2,807 |
|
0 |
97 |
about 2 years ago |
79 |
December 08, 2023 |
321 |
mit |
Python |
| A light-weight, flexible, and expressive statistical data testing library |
| sodadata/soda-core |
1,644 |
|
0 |
0 |
about 2 years ago |
0 |
|
104 |
apache-2.0 |
Python |
| :zap: Data quality testing for the modern data stack (SQL, Spark, and Pandas) https://www.soda.io |
| dry-rb/dry-validation |
1,294 |
|
1,083 |
164 |
over 2 years ago |
69 |
November 04, 2022 |
21 |
mit |
Ruby |
| Validation library with type-safe schemas and rules |
| victorjonsson/jQuery-Form-Validator |
978 |
|
37 |
5 |
over 4 years ago |
19 |
August 22, 2018 |
235 |
|
JavaScript |
| [DISCONTINUED] jQuery plugin that makes it easy to validate user input while keeping your HTML markup clean from javascript code. |
| rstudio/pointblank |
785 |
|
0 |
3 |
over 2 years ago |
17 |
October 08, 2022 |
78 |
other |
R |
| Data quality assessment and metadata reporting for data frames and database tables |
| cleanlab/cleanvision |
739 |
|
0 |
1 |
over 2 years ago |
10 |
September 01, 2023 |
28 |
agpl-3.0 |
Python |
| Automatically find issues in image datasets and practice data-centric computer vision. |