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Hurl is a command line tool that runs HTTP requests defined in a simple plain text format. 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.

...URL path construction, with simple string interpolation provided by go-interpol package. URL query parameters (encoding using go-querystring package). Headers, cookies, payload: JSON, urlencoded or multipart forms (encoding using form package), plain text. Custom reusable request builders and request transformers. Type-specific assertions, supported types: object, array, string, number, boolean, null, datetime. Regular expressions. Simple JSON queries (using subset of JSONPath), provided by jsonpath package. JSON Schema validation, provided by gojsonschema package.

...Feign works by processing annotations into a templatized request, to which arguments are applied in a straightforward manner before output. While it may only support text-based APIs, it simplifies system aspects dramatically and makes it much easier to unit test your conversions. Feign makes use of great tools like Jersey and CXF for writing Java clients for ReST or SOAP services. It also lets you write your own code on top of http libraries, and connects your code to http APIs with little overhead.

LinkChecker is a free, GPL licensed website validator. LinkChecker checks links in web documents or full websites. It runs on Python 3 systems, requiring Python 3.8 or later. The version in the pip repository may be old, to find out how to get the latest code, plus platform-specific information and other advice see doc/install.txt in the source code archive. If you do not want to install any additional libraries/dependencies you can use the Docker image which is published on GitHub...

...The first one waits for the other. The most important thing is that the data are streamed. This means that you can transfer any data infinitely. The demo below transfers an infinite text stream with seq inf. You can transfer any kind of data infinitely on a stream. Streams are very efficient in terms of both time and space. All you need is to have either a Web browser or curl, which are widely pre-installed. You do not need to install any extra software.

The client sends a friend text message (supports websocket and HTTP). The client obtains the wxid and name of the friend in the address book (supports websocket and HTTP). The client sends a picture to a friend (supports websocket and HTTP). Sends an AT message (support websocket and HTTP). Send attachments (only support HTTP, weboscket). Get chatroom member list (wxid) and nickname (support websocket and HTTP).

...A convenient response context passes any object you need when handling a response. Process data anyway and send it anywhere. Intuitive builder pattern APIs make parallel requests exceedingly easy. Input target hosts from list, string, text, json path, and cms query from local or URLs. Auto progress polling to handle async APIs such as "download packages" or "create compute", enabling task-level concurrency control and orchestration. Infinite scalability with flexible task-level concurrency control without creating 1,000 threads thread pools. Ping / HTTP 8,000 servers with response aggregation in 12 seconds.