
Beeceptor
Webhook.site
Hoppscotch
MockServer
Mockoon
Request inspector
API Fortress
CurlHub.io
Google Cloud Datastore
MarkLogic Server
Datomic
Valentina Server
Datahike
Matisse
Oracle TimesTen
Micro Focus Content Manager
If you've ever found yourself stuck during software development because a micro-service or 3rd party API wasn't available, then API Mocking is the solution you've been looking for. Beeceptor is a versatile tool that can help you with many different API development use cases. Whether you need to create mock Rest APIs in seconds, inspect payloads of any HTTP request, or simulate latencies and timeouts, Beeceptor has got you covered. Here are just a few of the ways that Beeceptor can help you:
Mocking: With Beeceptor, you can easily build mock Rest APIs without any coding required. You can also customize responses to simulate various scenarios, such as API failures or edge cases.
UI development: Don't let backend APIs that are still in development block the UI development. Use Beeceptor to mock the APIs and keep your development process moving forward.
Webhooks & Local Tunnel: This allows you to expose a local server to the internet securely. This can be useful for testing APIs or webhooks that require a publicly accessible endpoint.
Dummy Data Generation: Beeceptor also has a powerful fake data generation engine that allows you to create fake data and make the APIs look realistic.
Service Virtualization: With Beeceptor, you can create virtual services that mimic the behavior of real systems or services. This can be useful for testing and development purposes, as well as for isolating and resolving issues in complex systems.
Beeceptor
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Beeceptor's answer
Beeceptor stands out for its simplicity and ease of use, particularly for intercepting and mocking real-time HTTP and HTTPS requests without requiring code changes, extensive setup, new dependencies, etc.
Beeceptor's answer
Beeceptor's primary audience includes software developers, QA engineers, and product managers who are involved in the development and testing phases of web and mobile applications.
Based on our record, Beeceptor should be more popular than Google Cloud Datastore. It has been mentiond 13 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Webhook.site exists. Beeceptor exists. Ngrok exists in this space. - Source: dev.to / 3 months ago
This is exactly where Beeceptorโs stateful mocking come in to transform your development workflow. You can implement real data persistence without requiring to set up a single database, instantly unblocking your frontend and QA teams. - Source: dev.to / 9 months ago
Visit Mockbin.io, Beeceptor or RequestBin and click "Create endpoint." These platforms instantly generate a unique URL that captures incoming HTTP requests. Copy the provided URL, something like https://your-webhook-endpoint.com/hook. - Source: dev.to / 10 months ago
Beeceptor: A no-code solution offering real-time request inspection and customizable responses. It's extremely easy to set up, making it perfect for quick prototyping. - Source: dev.to / over 1 year ago
Got nothing to do with spring. It means setting up something like: https://beeceptor.com/. Source: over 3 years ago
A long time ago, a fork of Django called โDjango-nonrelโ experimented with the idea of using Djangoโs ORM with a non-relational database; what was then called the App Engine Datastore, but is now known as Google Cloud Datastore (or technically, Google Cloud Firestore in Datastore Mode). Since then a more recent project called "django-gcloud-connectors" has been developed by Potato to allow seamless ORM integration... - Source: dev.to / about 2 years ago
In that case use Cloud Datastore (aka Firestore in Datastore Mode). It's a NoSQL db that was initially targeted just for GAE (you needed to have a GAE App even if empty to use it) but that requirement has been relaxed. Source: over 3 years ago
As u/SierraBravoLima said - If you don't really need containerization, you can go with Google App Engine (Standard). If you need to store data, GAE will work with cloud datastore which has a large enough free tier. Source: about 4 years ago
Datastore mode had its start in App Engine's early days (launched in 2008), where its Datastore was the original scalable NoSQL database provided for all App Engine apps. In 2013, Datastore was made available all developers outside of App Engine, and "re-launched" as Cloud Datastore. In 2014, Google acquired Firebase for its RTDB (real-time database). Both teams worked together for the next 4 years, and in 2017,... Source: over 4 years ago
Database: datastore should be very cheap, or you could just output as csv text and copy into Google Sheets (free!). Source: over 4 years ago
Webhook.site - Instantly generate a free, unique URL and email address to test, inspect, and automate (with a visual workflow editor and scripts) incoming HTTP requests and emails.
MarkLogic Server - MarkLogic Server is a multi-model database that has both NoSQL and trusted enterprise data management capabilities.
Hoppscotch - Open source API development ecosystem
Datomic - The fully transactional, cloud-ready, distributed database
MockServer - Easy mocking of any system you integrate with via HTTP or HTTPS.
Valentina Server - Valentina Server is 3 in 1: Valentina DB Server / SQLite Server / Report Server