mirror of
https://github.com/foss42/apidash.git
synced 2025-10-09 23:37:14 +08:00
41 lines
2.4 KiB
Markdown
41 lines
2.4 KiB
Markdown
# API Dash ⚡️
|
|
|
|
API Dash is a beautiful open-source cross-platform HTTP Client that can help you explore APIs.
|
|
|
|
Using API Dash, you can draft API requests via an easy to use GUI. It allows you to:
|
|
- Create different types of HTTP requests (GET, POST, PUT, etc.)
|
|
- Easily manipulate and play around with request inputs like headers, query parameters and body.
|
|
- Parse the response to inspect the outputs (HTTP status code, error messages, header, body, time taken) to better understand, debug and test the APIs.
|
|
|
|

|
|
|
|
|
|
## Motivation
|
|
|
|
Our team (Ankit & Ashita) started the [foss42](https://foss42.com) initiative of building open source APIs a few months back and after working with various API clients we always felt that many of these clients lacked cross-platform support and good code generation ability especially for mobile first developers. As Flutter is a cross platform framework and could help us achieve this from a single code-base, we decided to start working on this open source initiative in FOSS Hack 3.0 using Flutter.
|
|
|
|
## Project Timeline
|
|
|
|
This is a new project that was started on 4th March, 2023.
|
|
|
|
## Roadmap
|
|
|
|
The following is the initial roadmap that we laid out before we started hacking this project. (What we have achieved so far has a tick ✅)
|
|
|
|
✅ App UI
|
|
✅ Allowing users to create, duplicate, delete, rearrange API requests
|
|
✅ Flutter App State Management using riverpod
|
|
✅ Users can select the request method (GET, POST, PATCH, etc.)
|
|
✅ Users can input query parameters, headers and body
|
|
✅ Fetching results
|
|
✅ Displaying results is a nice form
|
|
✅ Users can take a copy of the response
|
|
🚧 Generating the Dart code corresponding to the requests
|
|
🚧 Saving the collection of requests created by the user (Persistence)
|
|
|
|
## Current Limitations
|
|
|
|
- The request body currently supports only text and json input. File, Form-field and other inputs will be supported soon.
|
|
- The response body that can be currently visualized should be a text or json. We have plans to support more mime-types in near future. For example, if the response is a video, the user will be able to directly play that video in the tool in near future.
|
|
- Due to time constraints we currently do not have collection persistence or export as it will require some more work and we will continue working on it.
|