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Congratulations on your launch! It's super exciting to see how you're democratizing AI monitoring and validation with an open-source solution. The idea of enabling users to test out your platform without the need to share sensitive data is a critical step toward building trust and accessibility in AI and ML ecosystems. The comprehensive set of features, specifically the root cause analysis capabilities, tracking checks over time, and the ability to set alert rules, really hit the nail on the head. These are indeed crucial aspects of effective ML monitoring, and integrating them in such a user-friendly manner speaks volumes about your attention to detail and understanding of user needs. The balance between maintaining a strong commitment to the open-source community while also addressing the needs of larger teams is great! Congrats on the launch! 🚀
Deepchecks is one of the coolest MLOps tools on the market. Period. I've struggled a lot with monitoring, and this tool hits all the major pain points. Kudos!
The seamless augmentation of DeepChecks offering from the development stage of the data acquiring stage to Model Building ends with lean production monitoring. Continues QA and Validation.
Congrats! Exciting! Please share more details about the data processing: Is it done locally or on a remote server? So, I am asking about data privacy if to be direct. I loved other Deepchecks tools, so I can't wait to try this one 🚀
Based on their other open source products, I can't wait to try this one as well.
I have been using Deepchecks for a while now, and I love that you guys keep it open source and keep improving it over time. Highly recommend this for data scientists: It's so simple to use and you get lots of value for free.
