Search Results for "schema"
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Showing 136 open source projects for "schema"
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When it comes to cybersecurity, what your clients don’t know can really hurt them. And believe it or not, keep them safe starts with asking questions. With ConnectWise Identify Assessment, get access to risk assessment backed by the NIST Cybersecurity Framework to uncover risks across your client’s entire business, not just their networks. With a clearly defined, easy-to-read risk report in hand, you can start having meaningful security conversations that can get you on the path of keeping your clients protected from every angle. Choose from two assessment levels to cover every client’s need, from the Essentials to cover the basics to our Comprehensive Assessment to dive deeper to uncover additional risks. Our intuitive heat map shows you your client’s overall risk level and priority to address risks based on probability and financial impact. Each report includes remediation recommendations to help you create a revenue-generating action plan.
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ConnectWise ScreenConnect, formerly ConnectWise Control, is a remote support solution for Managed Service Providers (MSP), Value Added Resellers (VAR), internal IT teams, and managed security providers. Fast, reliable, secure, and simple to use, ConnectWise ScreenConnect helps businesses solve their customers' issues faster from any location. The platform features remote support, remote access, remote meeting, customization, and integrations with leading business tools.
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JSON Schema Validator
A fast Java JSON schema validator that supports draft V4, V6, V7, V201
This is a Java implementation of the JSON Schema Core Draft v4, v6, v7, v2019-09 and v2020-12(partial) specification for JSON schema validation. In addition, it also works for OpenAPI 3.0 request/response validation with some configuration flags. For users who want to collect information from a JSON node based on the schema, the walkers can help. The default JSON parser is the Jackson which is the most popular one. As it is a key component in our light-4j microservices framework to validate... -
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JSON Schema to TS
Infer TS types from JSON schemas
A lot of projects use JSON schemas for runtime data validation along with TypeScript for static type checking. -
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Spartan Schema
Ultra-minimal JSON schemas with Typescript inference
An ultra-minimal, Typescript-compatible alternative to JSON Schema, designed as part of Osmosis. -
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nette Schema
Validating data structures against a given Schema
A practical library for validation and normalization of data structures against a given schema with a smart & easy-to-understand API. In variable $schema we have a validation schema (what exactly this means and how to create it we will say later) and in variable $data we have a data structure that we want to validate and normalize. This can be, for example, data sent by the user through an API, configuration file, etc. -
Define and Deliver Comprehensive Cybersecurity Services. Security threats continue to grow, and your clients are most likely at risk. Small- to medium-sized businesses (SMBs) are targeted by 64% of all cyberattacks, and 62% of them admit lacking in-house expertise to deal with security issues. Now technology solution providers (TSPs) are a prime target. Enter ConnectWise Cybersecurity Management (formerly ConnectWise Fortify) — the advanced cybersecurity solution you need to deliver the managed detection and response protection your clients require. Whether you’re talking to prospects or clients, we provide you with the right insights and data to support your cybersecurity conversation. From client-facing reports to technical guidance, we reduce the noise by guiding you through what’s really needed to demonstrate the value of enhanced strategy.
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Ajv JSON schema validator
The fastest JSON schema Validator
Security and reliability for JavaScript applications. Ensure your data is valid as soon as it's received. Instead of having your data validation and sanitization logic written as lengthy code, you can declare the requirements to your data with concise, easy to read and cross-platform JSON Schema or JSON Type Definition specifications and validate the data as soon as it arrives to your application. TypeScript users can use validation functions as type guards, having type level guarantee... -
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JSON Server
Get a full fake REST API with zero coding
Get a full fake REST API with zero coding in less than 30 seconds (seriously). Created with <3 for front-end developers who need a quick back-end for prototyping and mocking. If you need to add authentication, validation, or any behavior, you can use the project as a module in combination with other Express middleware. You can deploy JSON Server. For example, JSONPlaceholder is an online fake API powered by JSON Server and running on Heroku. If you make POST, PUT, PATCH or DELETE requests,... -
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Miller
Miller is like awk, sed, cut, join, and sort for name-indexed data
Miller is like awk, sed, cut, join, and sort for data formats such as CSV, TSV, JSON, JSON Lines, and positionally-indexed. With Miller, you get to use named fields without needing to count positional indices, using familiar formats such as CSV, TSV, JSON, JSON Lines, and positionally-indexed. Then, on the fly, you can add new fields which are functions of existing fields, drop fields, sort, aggregate statistically, pretty-print, and more. Miller operates on key-value-pair data while the... -
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JSON Forms
Customizable JSON Schema-based forms with React, Angular and Vue
... the capabilities of JSON and JSON schema and provides a simple and declarative way of describing forms. Forms are then rendered with a UI library or framework, e.g. React or Angular. -
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jsonschema
An implementation of the JSON Schema specification for Python
jsonschema is an implementation of the JSON Schema specification for Python. Full support for Draft 2020-12, Draft 2019-09, Draft 7, Draft 6, Draft 4 and Draft 3. Lazy validation that can iteratively report all validation errors. Programmatic querying of which properties or items failed validation. -
Manage your enterprise’s compensation lifecycle and accurately recognize top performers with a digitized, integrated system. Keep employees invested and your HR team in control while preventing compensation chaos.
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Suretype
Typesafe JSON (Schema) validator
Suretype is a JSON validator targeting TypeScript and JSON Schema. It is ridiculously type-safe when used in TypeScript, which is good for accuracy, but also for aiding IDE auto-complete. It's as easy as Joi, but ~70x faster. It's (at least) as typesafe as Superstruct, but ~100x faster. ~2500x faster than Zod and ~1600x faster than ow. It supports most (if not all) of JSON schema, and nothing beyond that, so that the validator schemas written in TypeScript (or JavaScript) can be ensured... -
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webrpc
webrpc is a schema-driven approach to writing backend services
webrpc is a schema-driven approach to writing backend servers for the Web. Write your server's API interface in a schema format of RIDL or JSON, and then run webrpc-gen to generate the networking source code for your server and client apps. From the schema, webrpc-gen will generate application-based class types/interfaces, JSON encoders, and networking code. In doing so, it's able to generate fully functioning and typed client libraries to communicate with your server. Enjoy strongly-typed Web... -
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fast-json-stringify
2x faster than JSON.stringify()
fast-json-stringify is significantly faster than JSON.stringify() for small payloads. Its performance advantage shrinks as your payload grows. It pairs well with flatstr, which triggers a V8 optimization that improves performance when eventually converting the string to a Buffer. -
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react-jsonschema-form
A React component for building Web forms from JSON Schema
A simple React component capable of using JSON Schema to declaratively build and customize web forms. -
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go-jsonschema
A tool to generate Go data types from JSON Schema definitions
go-jsonschema is a tool to generate Go data types from JSON Schema definitions. This tool generates Go data types and structs that corresponds to definitions in the schema, along with unmarshalling code that validates the input JSON according to the schema's validation rules. -
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conf
Simple config handling for your app or module
All you have to care about is what to persist. This module will handle all the dull details like where and how. It does not support multiple processes writing to the same store. I initially made this tool to let command-line tools persist some data. -
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Mashumaro
Fast and well tested serialization library on top of dataclasses
When using data classes, you often need to dump and load objects based on the schema you have. Mashumaro not only lets you save and load things in different ways, but it also does it super quickly. -
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Express Zod API
A Typescript library to help you get an API server up and running
Start your API server with I/O schema validation and custom middlewares in minutes. I made this library because of the often repetitive tasks of starting a web server API with the need to validate input data. It integrates and provides the capabilities of popular web servers, logger, validation, and document solutions. Therefore, many basic tasks can be accomplished faster and easier. -
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Shale
Shale is a Ruby object mapper and serializer for JSON, YAML, TOML
Shale is a Ruby object mapper and serializer for JSON, YAML, TOML, CSV and XML. It allows you to parse JSON, YAML, TOML, CSV and XML data and convert it into Ruby data structures, as well as serialize data structures into JSON, YAML, TOML, CSV or XML. -
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omniparser
Native Golang ETL streaming parser and transform library
Omniparser is a native Golang ETL parser that ingests input data of various formats (CSV, txt, fixed length/width, XML, EDI/X12/EDIFACT, JSON, and custom formats) in streaming fashion and transforms data into desired JSON output based on a schema written in JSON. -
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Manfred Awesomic CV
Manfred Awesomic CV
The MAC (or Manfred Awesomic CV) is a(nother) naive attempt to create a standard open-source format to define and share CVs. The format is defined as a JSON Schema to validate CVs stored as JSON files. There are A LOT of CV formats, and some of them are a nice try to define a universal CV format, but we think that a CV should include not only what candidates are or know but also what they are interested in and what they want to become. Like most open-source projects, the first use case... -
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msgspec
A fast serialization and validation library, with builtin
msgspec is a fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML. -
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jello
CLI tool to filter JSON and JSON Lines data with Python syntax
... lines, or a grep-able schema. -
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Doctrine JSON ODM
An object document mapper for Doctrine ORM using JSON
An Object-Document Mapper (ODM) for Doctrine ORM leveraging new JSON types of modern RDBMS. Did you ever dream of a tool creating powerful data models mixing traditional, efficient relational mappings with modern schema-less and NoSQL-like ones? With Doctrine JSON ODM, it's now possible to create and query such hybrid data models with ease. Thanks to modern JSON types of RDBMS, querying schema-less documents is easy, powerful and fast as hell (similar in performance to a MongoDB database)! You... -
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svelte-jsoneditor
Web-based tool to view, edit, format, repair, query, & transform JSON
A web-based tool to view, edit, format, transform, and validate JSON. The library is written with Svelte, but can be used in plain JavaScript too, and in any framework (SolidJS, React, Vue, Angular, etc). View and edit JSON, has a low-level text editor and high-level tree view and table view. Format (beautify) and compact JSON. Sort, query, filter, and transform JSON. JSON schema validation and pluggable custom validation. Color highlighting, undo/redo, search and replace. Utilities like... -
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SleekDB
Pure PHP NoSQL database with no dependency
SleekDB is a simple flat file NoSQL-like database implemented in PHP without any third-party dependencies that store data in plain JSON files. It is not designed to handle heavy-load IO operations, it is designed to have a simple solution where all we need a database for managing a few gigabytes of data. You can think of it as a database for low to medium operation loads.