<?xml version="1.0" encoding="UTF-8"?>
<feed xmlns="http://www.w3.org/2005/Atom">
    <title>validation</title>
    <link rel="self" type="application/atom+xml" href="https://links.biapy.com/guest/tags/704/feed"/>
    <updated>2026-04-19T06:48:33+00:00</updated>
    <id>https://links.biapy.com/guest/tags/704/feed</id>
            <entry>
            <id>https://links.biapy.com/links/11516</id>
            <title type="text"><![CDATA[Kubevious]]></title>
            <link rel="alternate" href="https://kubevious.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11516"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Kubevious (pronounced [kju:bvi:əs]) is a suite of app-centric assurance, validation, and introspection products for Kubernetes. It helps running modern Kubernetes applications without disasters and costly outages by continuously validating application manifests, cluster state, and configuration. Kubevious projects detect and prevent errors(typos, misconfigurations, conflicts, inconsistencies) and violations of best practices. Our secret sauce is based on the ability to validate across multiple manifests and look at the configuration from the application vantage point.

- [Kubevious @ GitHub](https://github.com/kubevious/kubevious).]]>
            </summary>
            <updated>2026-01-16T15:33:42+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11219</id>
            <title type="text"><![CDATA[@graphile/depth-limit]]></title>
            <link rel="alternate" href="https://github.com/graphile/depth-limit" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11219"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A GraphQL.js validation rule for limiting the depth (including list depth) of GraphQL operations]]>
            </summary>
            <updated>2025-12-12T07:35:48+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11212</id>
            <title type="text"><![CDATA[Of Coerce!]]></title>
            <link rel="alternate" href="https://github.com/kossnocorp/ofcoerce" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11212"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Lightweight type coercion library.

Of Coerce! is a lightweight, near-zero overhead alternative to Zod and Valibot.

Unlike these libraries, Of Coerce! focuses on a single task: ensuring the data corresponds to the types.

It uses built-in JavaScript features to coerce whatever you pass to it, which makes it the fastest and the most lightweight solution (full library is 381B!).]]>
            </summary>
            <updated>2025-12-12T07:26:06+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/601</id>
            <title type="text"><![CDATA[Pydantic]]></title>
            <link rel="alternate" href="https://pydantic.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/601"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Data validation using Python type hints.

Pydantic is the most widely used data validation library for Python.

Fast and extensible, Pydantic plays nicely with your linters/IDE/brain. Define how data should be in pure, canonical Python 3.9+; validate it with Pydantic.

- [Pydantic @ GitHub](https://github.com/pydantic/pydantic).

Related contents:

- [Loading Pydantic models from JSON without running out of memory @ Python=&amp;gt;Speed](https://pythonspeed.com/articles/pydantic-json-memory/).
- [Software Engineering for Data Scientists, Part 1: Pydantic Is All You Need for Poor Performance Spaghetti Code @ Han, Not Solo](https://leehanchung.github.io/blogs/2025/07/03/pydantic-is-all-you-need-for-performance-spaghetti/).]]>
            </summary>
            <updated>2025-08-28T17:38:07+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/965</id>
            <title type="text"><![CDATA[ArkType]]></title>
            <link rel="alternate" href="https://arktype.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/965"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[TypeScript&amp;#039;s 1:1 validator, optimized from editor to runtime.

ArkType is a runtime validation library that parses optimized validators from familiar, type-safe syntax.

It can be used to check external data like JSON payloads or form submissions at the boundaries of your code (similar to Zod or Yup).

- [ArkType @ GitHub](https://github.com/arktypeio/arktype).]]>
            </summary>
            <updated>2025-08-28T18:38:42+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1874</id>
            <title type="text"><![CDATA[cri-tools]]></title>
            <link rel="alternate" href="https://github.com/kubernetes-sigs/cri-tools" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1874"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[CLI and validation tools for Kubelet Container Runtime Interface (CRI) .
cri-tools aims to provide a series of debugging and validation tools for Kubelet CRI, which includes:

- crictl: CLI for kubelet CRI.
- critest: validation test suites for kubelet CRI.

Related contents:

- [Gérez vos conteneurs avec crictl @ DevSecOps :fr:](https://blog.stephane-robert.info/docs/conteneurs/outils/crictl/).]]>
            </summary>
            <updated>2025-08-28T21:08:59+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4241</id>
            <title type="text"><![CDATA[JSON Schema]]></title>
            <link rel="alternate" href="https://json-schema.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4241"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[While JSON is probably the most popular format for exchanging data, JSON Schema is the vocabulary that enables JSON data consistency, validity, and interoperability at scale.]]>
            </summary>
            <updated>2025-08-29T03:43:12+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4562</id>
            <title type="text"><![CDATA[atopile]]></title>
            <link rel="alternate" href="https://atopile.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4562"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Code to Electronics. Build electronic circuit boards from code.
atopile is a language and toolchain to describe electronic circuit boards with code. By replacing the point and click schematic interface with code, we introduce software development workflows like reuse, validation and automation to the world of electronics.

- [atopile @ GitHub](https://github.com/atopile/atopile).]]>
            </summary>
            <updated>2025-08-29T04:38:40+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4644</id>
            <title type="text"><![CDATA[Valinor]]></title>
            <link rel="alternate" href="https://valinor.cuyz.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4644"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Valinor takes care of the construction and validation of raw inputs (JSON, plain arrays, etc.) into objects, ensuring a perfectly valid state. It allows the objects to be used without having to worry about their integrity during the whole application lifecycle.

The validation system will detect any incorrect value and help the developers by providing precise and human-readable error messages. The mapper can handle native PHP types as well as other advanced types supported by PHPStan and Psalm like shaped arrays, generics, integer ranges and more.

- [Valinor @ GitHub](https://github.com/CuyZ/Valinor).]]>
            </summary>
            <updated>2025-08-29T04:50:53+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4658</id>
            <title type="text"><![CDATA[FormKit]]></title>
            <link rel="alternate" href="https://formkit.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4658"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[⚡️ The open-source form framework for Vue.

FormKit is a form-authoring framework for Vue developers that makes building high quality production-ready forms 10x faster. It is easy-to-learn and ships with production-ready scaffolding like inputs, forms, submission and error handling, and validation rules. To learn more check out the documentation website at: formkit.com.

- [FormKit @ GitHub](https://github.com/formkit/formkit).]]>
            </summary>
            <updated>2025-08-29T04:52:48+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4661</id>
            <title type="text"><![CDATA[Vest]]></title>
            <link rel="alternate" href="https://vestjs.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4661"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Vest Validations Framework.

Vest is a declarative validations framework designed to simplify the process of writing and maintaining form validations for your web application. Inspired by popular unit testing libraries such as Mocha and Jest, Vest allows developers to describe their validation requirements using a suite-like syntax, separating validation logic from feature logic to create more maintainable and readable code.

- [Vest @ GitHub](https://github.com/ealush/vest).]]>
            </summary>
            <updated>2025-08-29T04:54:50+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4857</id>
            <title type="text"><![CDATA[ValidationMyPhp]]></title>
            <link rel="alternate" href="https://github.com/rizwan3d/ValidationMyPhp?ref=hackernoon.com" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4857"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Validation class is a PHP utility for performing data validation and error handling. It is designed to validate user-provided data against a set of rules and return error messages when validation fails.

- [How to Simplify Data Validation in PHP With ValidationMyPhp @ HackerNoon](https://hackernoon.com/how-to-simplify-data-validation-in-php-with-validationmyphp).]]>
            </summary>
            <updated>2025-08-29T05:27:07+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5208</id>
            <title type="text"><![CDATA[Valibot]]></title>
            <link rel="alternate" href="https://valibot.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5208"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The modular and type safe schema library for validating structural data robot.

Validate unknown data with Valibot, the open source schema library with bundle size, type safety and developer experience in mind.

[Valibot @ GitHub](https://github.com/fabian-hiller/valibot)]]>
            </summary>
            <updated>2025-08-29T06:24:36+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5209</id>
            <title type="text"><![CDATA[Zod]]></title>
            <link rel="alternate" href="https://zod.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5209"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[TypeScript-first schema validation with static type inference 

Zod is a TypeScript-first schema declaration and validation library. I&amp;#039;m using the term &amp;quot;schema&amp;quot; to broadly refer to any data type, from a simple string to a complex nested object.

- [Zod @ GitHub](https://github.com/colinhacks/zod).

Related contents:

- [zodest @ GitHub](https://github.com/tunnckoCore/zodest).

Related contents:

- [How to type zod schemas for forms @ P G Jones](https://pgjones.dev/blog/how-to-type-zod-form-schemas-2025/).
- [Introducing Zod Codecs @ Colin McDonnell](https://colinhacks.com/essays/introducing-zod-codecs).
- [TypeScript vs Zod: Clearing up validation confusion @ LogRocket](https://blog.logrocket.com/when-use-zod-typescript-both-developers-guide).]]>
            </summary>
            <updated>2025-10-07T12:00:03+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5291</id>
            <title type="text"><![CDATA[VineJS]]></title>
            <link rel="alternate" href="https://vinejs.dev/docs/introduction" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5291"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[VineJS is a form data validation library for Node.js. You may use it to validate the HTTP request body in your backend applications.

[VineJS @ GitHub](https://github.com/vinejs/vine).]]>
            </summary>
            <updated>2025-08-29T06:39:45+00:00</updated>
        </entry>
    </feed>
