WhyLabs Reviews & Product Details

I like the privacy preserving solutions for scaling AI models. I like that WhyLabs offer responsive support and detailed documentation. Review collected by and hosted on G2.com.

I dislike that the platform might be overly technical for users who are not well-versed in AI or data science Review collected by and hosted on G2.com.

The team behind WhyLabs is awesome. I like how easy it is to get started with their platform, their commitment to an open-source approach, and their active engagement with the AI community with regular workshops and education around cutting-edge monitoring and evaluation techniques. Review collected by and hosted on G2.com.

Having more flexibility in visualizations and easier ways to share them outside the product would be nice. Review collected by and hosted on G2.com.

WhyLabs is an exceptional observability tool for applications built with large language models. Its ease of use enables us to integrate langkit into the existing architecture. Additionally, they have an excellent customer support community. Review collected by and hosted on G2.com.

Building custom applications with large language models is a challenging experience. Better documentation about how to effectively use Whylabs in monitoring applications with LLMs would be helpful. Review collected by and hosted on G2.com.

We recently integrated the WhyLabs AI Observatory into our team's model serving platform to monitor input features and model scores in near real-time. I was impressed by its seamless integration and range of capabilities. They provided some good examples, so it was easy to integrate monitoring of our data.

I also like the large amount of monitors and dashboards to debug various aspect of ML data and models. We set up alerts through Slack which was also easy to set up. The alerts are useful to detect issues with our model's features such missing data. We also watch WhyLabs dashboards when deploying new model versions to ensure a smooth rollout.

Another highlights is is user interface. It's user-friendly, clear, and intuitive. They have some preset monitors that are easy to add with just a few clicks. I noticed they added more preset monitors recently which shows their rapid innovation.

Finally, and what I like the most, is its customer support. The team is responsive, and they are always ready to assit, and they quickly reply for any questions or help we ask. Review collected by and hosted on G2.com.

One point to mention is the discoverability and enablement of some of their advanced features. However, this could be a results of their rapid innovation, which continuously expands the platform's capabilities. A bit more documentation on navigating these features could improve the user experience, but it's a small aspect in an otherwise impressive system. Review collected by and hosted on G2.com.

WhyLabs is a great solution for our team in monitoring ML features. With WhyLabs seamless integrated in our daily pipelines, we can keep track of our data quality, receive timely alerts via both email and Slack, and detect the anomalies in their early stages.

We are also impressed by the tremendous support from the WhyLabs team. Collaborating with them has been an absolute delight. Review collected by and hosted on G2.com.

Just like with any new product, there is always room for improvement in both the platform and its monitoring capabilities.

I am anticipating new features in dashboards that offer data profiles at more granular levels and from different perspectives. Additionally, having a comprehensive API client tool to check and retrieve profiles would benefit our specific use cases. Review collected by and hosted on G2.com.

As an AI consulting and services firm, we’re always on the lookout for tools that our customers can leverage to improve their adoption of AI. Model monitoring and maintenance are big needs for any company actively investing in AI that wants to turn those investments into returns.

We’ve been testing out WhyLabs as a potential observability solution and have been impressed with its capabilities. Their recent platform expansion with LLM observability and guardrails aligns well with the Gen AI capabilities that are becoming important to many of our customers.

WhyLabs offers a wide range of functionality, including data profiling, model monitoring, alerting, and root cause analysis. The platform covers many of the end-to-end workflow needs of an ML team.

A key part of their approach is the open-source whylogs library for local data profiling. Rather than sending raw data to the cloud, whylogs lets you summarize on-premises before sending compact statistical profiles. Contrary to some other monitoring solutions, this aligns very well with many of our clients’ strict data privacy expectations.

whylogs itself is straightforward to integrate and use. You can add monitoring to a pipeline with minimal fuss. As an open-source tool, it provides transparency into what’s being tracked and how.

On the support side, we’ve found the WhyLabs team extremely nice and responsive. The platform documentation is fairly comprehensive as well. Another key plus is that we found their pricing model really fair.

For teams looking for an observability solution, WhyLabs is definitely worth a close look. The platform covers a wide range of ML workflow needs, and their approach to data privacy is a plus. We look forward to using it more broadly! Review collected by and hosted on G2.com.

Nothing major. There is always room for improving documentation and platform features. Review collected by and hosted on G2.com.

I see so much potential how it can be applied to my own academic work. It's very friendly by providing easy-to-read plots and intuitive platform. Review collected by and hosted on G2.com.

I found some of the features very slow to display. Review collected by and hosted on G2.com.

In my opinion, Whylabs is an excellent product which provides a lot of useful insights on model performance, model inputs and model outputs. With the insights provided by Whylabs, we immediately found ideas to further improve our models.

It's worth to highlight the support that we have from Whylabs team. It has been a smooth collaboration with Whylabs team. Whenever I have any questions about using Whylabs, I got my questions answered within a very short turnaround time. Review collected by and hosted on G2.com.

Having more documentations/tutorials on some situations may help users better onboard with Whylabs. In addition, for existing documentations, keeping it up-to-date with latest changes may also help. Review collected by and hosted on G2.com.

WhyLabs is a great team building an innovative product at the forefront of AI/ML. I love the OSS approach and have been using and recomending their new product Langkit to my LLM dev community. We all have a lot of questions about how we're going to measure and protect our LLM-based products. Very cool that Whylabs has come oout with a comepelling product so quickly, while the ground is still shifting. Review collected by and hosted on G2.com.

It is still early days and there is a lot more to build, measure and monitor, especially as the LLM space contnues to rapidly evolve. I am looking forward to seeing new features and capabilities in Langkit as the models get more sophisticated and our underdstanding of the technical and business metrics emerge that will govern how we build LLM-based products and services. Review collected by and hosted on G2.com.

WhyLabs Al is easy to understand and use. It enhances interpretability, making it easier for data scientists and machine learning engineers to understand model behavior Review collected by and hosted on G2.com.

More detailed dashboard would be more helpful Review collected by and hosted on G2.com.