Beeceptor
Webhook.site
Hoppscotch
MockServer
Mockoon
Request inspector
API Fortress
CurlHub.io
Databricks
Google BigQuery
Jupyter
Looker
Presto DB
Rakam
Informatica
Concurrent
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 DatabricksBeeceptor'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.
Databricks might be a bit more popular than Beeceptor. We know about 18 links to it since March 2021 and only 13 links to Beeceptor. 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
Vendors like Confluent, Snowflake, Databricks, and dbt are improving the developer experience with more automation and integrations, but they often operate independently. This fragmentation makes standardizing multi-directional integrations across identity and access management, data governance, security, and cost control even more challenging. Developing a standardized, secure, and scalable solution for... - Source: dev.to / almost 2 years ago
Dolly-v2-12bis a 12 billion parameter causal language model created by Databricks that is derived from EleutherAIโs Pythia-12b and fine-tuned on a ~15K record instruction corpus generated by Databricks employees and released under a permissive license (CC-BY-SA). Source: about 3 years ago
Global organizations need a way to process the massive amounts of data they produce for real-time decision making. They often utilize event-streaming tools like Redpanda with stream-processing tools like Databricks for this purpose. - Source: dev.to / almost 4 years ago
Databricks, a data lakehouse company founded by the creators of Apache Spark, published a blog post claiming that it set a new data warehousing performance record in 100 TB TPC-DS benchmark. It was also mentioned that Databricks was 2.7x faster and 12x better in terms of price performance compared to Snowflake. - Source: dev.to / about 4 years ago
Go to Databricks and click the Try Databricks button. Fill in the form and Select AWS as your desired platform afterward. - Source: dev.to / about 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.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Hoppscotch - Open source API development ecosystem
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
MockServer - Easy mocking of any system you integrate with via HTTP or HTTPS.
Looker - Looker makes it easy for analysts to create and curate custom data experiencesโso everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
