We have been a part of the clutch listing for the last few years. Suddenly we got a review from an unknown person on our company listing profile. We don't know the reviewer, or we didn't work with him till we got an entirely negative review on our listing (We didn't work with that person, maybe it's done intentionally with our competitor or anyone).
We informed clutch that we didn't work with such a person in the past. Then why do we have a negative review on our profile? They replied to us to answer feedback on the review with the lowest limit of 250 words. Why should we have to provide feedback to the reviewer with whom we never worked?
If the review is entirely fake, how is the clutch verifying it? We tried to contact clutch.co, and we got unexpected answers.
Clutch is biased towards clients only, claiming verification is standard but unable to share how they verified, which is unexpected.
Apache Airflow might be a bit more popular than Clutch.co. We know about 67 links to it since March 2021 and only 54 links to Clutch.co. 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.
Review websites like Clutch, GoodFirms, DesignRush Freelance portals like TopTal or Upwork Job search portals like talent marketplaces or Angellist. - Source: dev.to / 5 months ago
Honestly, you might just need a larger agency with more resources. Have a look on https://clutch.co/. Source: 12 months ago
Sign in to your Clutch account. Navigate to https://clutch.co Click "Sign In" Sign in via Google or LinkedIn Go to https://vendor.clutch.co/vendor/dashboard/widgets You also can navigate from your user menu. ```. Source: 12 months ago
I'm coming from the same field, we had somehow positive experience with clutch.co. Source: about 1 year ago
I found the web dev teams here https://clutch.co/, maybe you could create an account and market your services there. Good luck! Source: about 1 year ago
An integral part of an ML project is data acquisition and data transformation into the required format. This involves creating ETL (extract, transform, load) pipelines and running them periodically. Airflow is an open source platform that helps engineers create and manage complex data pipelines. Furthermore, the support for Python programming language makes it easy for ML teams to adopt Airflow. - Source: dev.to / 2 days ago
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 / 28 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 / 4 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: 7 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 / 7 months ago
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