laravel-validation VS deepchecks

Compare laravel-validation vs deepchecks and see what are their differences.

laravel-validation

A PHP Laravel like validation for python language (by walid-mashal)

deepchecks

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. (by deepchecks)
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laravel-validation deepchecks
1 15
10 3,350
- 3.2%
10.0 8.2
almost 2 years ago 9 days ago
Python Python
MIT License GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

laravel-validation

Posts with mentions or reviews of laravel-validation. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-19.

deepchecks

Posts with mentions or reviews of deepchecks. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-18.

What are some alternatives?

When comparing laravel-validation and deepchecks you can also consider the following projects:

python_payload_validation - django validation which is similar to laravel rule validation

great_expectations - Always know what to expect from your data.

pandera - A light-weight, flexible, and expressive statistical data testing library

evidently - Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b

jsonschema - An implementation of the JSON Schema specification for Python

model-validation-toolkit - Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to production and monitoring them after deployment to production.

Schematics - Python Data Structures for Humans™.

feast - Feature Store for Machine Learning

colander - A serialization/deserialization/validation library for strings, mappings and lists.

postgresml - The GPU-powered AI application database. Get your app to market faster using the simplicity of SQL and the latest NLP, ML + LLM models.

giskard - 🐢 Open-Source Evaluation & Testing framework for LLMs and ML models

Activeloop Hub - Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai [Moved to: https://github.com/activeloopai/deeplake]