Testim gives you the flexibility to create and manage tests your way—codeless, coded, or both. - Quickly click through UI scenarios, add validation steps, create reusable groups, or export to code and edit in your IDE. - Run suites or test plans in parallel, across multiple browsers, and report results. - Configure validations, modify conditions, or insert custom code or data to test any scenario. - Connect to your CI, version control, collaboration, bug capture, or 3rd party testing grids. - Development Kit - export your tests to code or write them in your IDE using the Testim JavaScript library, API commands, and example code. - Self-healing - Smart Locators learn with each run to stabilize tests, maintaining test stability even when code changes. - Root Cause Analysis - errors are aggregated giving you quick insight into where tests are failing. View rich data including HTML/DOM and before/after screenshots see how attributes changed
Based on our record, Apache Airflow seems to be a lot more popular than Testim. While we know about 66 links to Apache Airflow, we've tracked only 3 mentions of Testim. 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.
Level 1 of MLOps is when you've put each lifecycle stage and their intefaces in an automated pipeline. The pipeline could be a python or bash script, or it could be a directed acyclic graph run by some orchestration framework like Airflow, dagster or one of the cloud-provider offerings. AI- or data-specific platforms like MLflow, ClearML and dvc also feature pipeline capabilities. - Source: dev.to / 2 days ago
For the third, examples here might be analytics plugins in specialized databases like Clickhouse, data-transformations in places like your ETL pipeline using Airflow or Fivetran, or special integrations in your authentication workflow with Auth0 hooks and rules. - Source: dev.to / 3 months ago
Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows. The platform features a web-based user interface and a command-line interface for managing and triggering workflows. Source: 6 months ago
Airflow is the most widely used and well-known tool for orchestrating data workflows. It allows for efficient pipeline construction, scheduling, and monitoring. - Source: dev.to / 6 months ago
AIRFLOW This is more of a library in my opinion, but Airflow has become an essential tool for scheduling in my work. All our ML training pipelines are ordered and scheduled with Airflow and it works seamlessly. The dashboard provided is also fantastic! Source: 8 months ago
Does anyone have any experience with testim.io? A In my company, they created a focus group/team to research this tool and I am part of the team? If you have 1st hand experience using it, please share your feedback. Source: almost 2 years ago
Last month, I started exploring solutions for the above problems and one day landed with testim.io. Testim not only automates the flow but also automates code generation for the test scripts. Let’s take a look together. - Source: dev.to / about 2 years ago
I'm seeing the comments and a lot of great suggestions. Curious if anyone has had any experience using testim.io, and how that compares to the most popular one in this thread test cafe. Source: about 3 years ago
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