Search Results for "graphql"
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Showing 4 open source projects for "graphql"
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Teradata VantageCloud Enterprise is a data analytics platform for performing advanced analytics on AWS, Azure, and Google Cloud.VantageCloud is the complete cloud analytics and data platform, delivering harmonized data and Trusted AI for all. Built for performance, flexibility, and openness, VantageCloud enables organizations to unify diverse data sources, run complex analytics, and deploy AI models—all within a single, scalable platform.
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1
Milkman
An extensible request/response workbench
...It is not limited to e.g. HTTP (or more specifically rest) requests. Due to nearly everything being a plugin, other things are possible, like database requests or GRPC, GraphQl, etc. Request-types (e.g. Http Request), request-aspects (e.g. Headers, Body, etc), editors for request aspects (e.g. table-based editors for headers), importers, whatever it is, you can extend it. The core application only handles Workspaces with Environments, Collections, Requests, and their aspects. Several plugins are provided already that extend the core application to be a replacement for postman. ... -
2
Hurl
Hurl, run and test HTTP requests with plain text
...It can chain requests, capture values and evaluate queries on headers and body responses. Hurl is very versatile: it can be used for both fetching data and testing HTTP sessions. Hurl makes it easy to work with HTML content, REST / SOAP / GraphQL APIs, or any other XML / JSON-based APIs. Hurl can run HTTP requests but can also be used to test HTTP responses. Different types of queries and predicates are supported, from XPath and JSONPath on body response, to assert on status code and response headers. -
3
Just-API
Test REST, GraphQL APIs
Just-API is a declarative, specification-based test framework for REST, GraphQL APIs. Users can test APIs without writing code, but they can also tap into code when they want to. It reads API test specifications from YAML files and runs them in serial/parallel mode. Test reports can be generated in several formats including HTML and JSON. In simple terms, users build a test suite by providing a set of request and response validation specification in a YAML file. -
4
Swagger-to-GraphQL
Swagger to GraphQL API adapter
Swagger-to-GraphQL converts your existing Swagger schema to an executable GraphQL schema where resolvers perform HTTP calls to certain real endpoints. It allows you to move your API to GraphQL with nearly zero effort and maintain both REST and GraphQL APIs. Our CLI tool also allows you get the GraphQL schema in Schema Definition Language. This library will fetch your swagger schema, convert it to a GraphQL schema and convert GraphQL parameters to REST parameters. ... -
Turn traffic into pipeline and prospects into customersDocket is an AI-powered sales enablement platform designed to unify go-to-market (GTM) data through its proprietary Sales Knowledge Lake™ and activate it with intelligent AI agents. The platform helps marketing teams increase pipeline generation by 15% by engaging website visitors in human-like conversations and qualifying leads. For sales teams, Docket improves seller efficiency by 33% by providing instant product knowledge, retrieving collateral, and creating personalized documents. Built for GTM teams, Docket integrates with over 100 tools across the revenue tech stack and offers enterprise-grade security with SOC 2 Type II, GDPR, and ISO 27001 compliance. Customers report improved win rates, shorter sales cycles, and dramatically reduced response times. Docket’s scalable, accurate, and fast AI agents deliver reliable answers with confidence scores, empowering teams to close deals faster.
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