Scale Nucleus
Aquarium
PerceptiLabs
ML Image Classifier
Google Cloud TPUs
Roboflow Universe
Touchpoint Dashboard
Pretrained AI
Metaplane
Telmai
Iteratively
Truth{set}
Percival
Masthead Data
Census
Datafold
Data teams are often the last to know about data quality issues, finding out only when downstream data consumers complain about broken dashboards. Metaplane solves this problem by continuously monitoring the entire data stack, alerting teams when something goes wrong, and providing context about what caused the issue.
Metaplane is the only data observability tool that is free to try and can be setup in under 10 minutes. After connecting your warehouse, our test engine automatically adds thousands of tests for row counts, freshness, and statistical properties, all without writing a single line of code.
Using your query history, transformation tool and BI tools, Metaplane can construct lineage across your entire data stack. When an issue is spotted, Metaplane will send you an alert to Slack or email and provide context about what may have caused the issue as well as what could be impacted.
Scale Nucleus MetaplaneBased on our record, Scale Nucleus should be more popular than Metaplane. It has been mentiond 2 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.
At Scale we built a tool for model debugging in computer vision called Nucleus (scale.com/nucleus) designed exactly for this, which is free try out if you're curious to see where your model predictions are most at odds with your ground truth. Source: over 2 years ago
To address your point about gathering edge cases, which can also be defined as cases of low model fidelity for our use cases, there is active learning and tools such as Aquarium Learning and Scale Nucleus which make it easy to implement into workflows. Source: almost 3 years ago
After evaluating few solutions in the market: We were in the market to hunt for a solution which will cost under 10k (yearly) considering the cost of opensource will be similar considering DE resource and maintenance cost etc 1. MonteCarlo - Super duper expensive - Unable to hosting in Google Cloud 2. BigEye - Good features 3. Metaplane - Overall good package but when compared to catalog and other features it... Source: about 1 year ago
Aquarium - Improve ML models by improving datasets they’re trained on
Telmai - Monitor your customer data quality in real-time
PerceptiLabs - A tool to build your machine learning model at warp speed.
Iteratively - Collaborate with your entire team to ship high-quality analytics faster and be confident in the results.
ML Image Classifier - Quickly train custom machine learning models in your browser
Truth{set} - Measuring the quality of consumer data
