WhyLabs
WhyLabs helps teams monitor and manage their data with ease.
Overview
WhyLabs is a powerful tool designed for data observability. It helps organizations track the performance of their machine learning models and data pipelines. With WhyLabs, teams can easily spot issues, ensure data quality, and maintain effective machine learning operations.
The platform provides insightful dashboards and alerts, making it easier for data teams to understand their data landscape. By using real-time monitoring, teams can quickly react to any irregularities or problems. This saves time and helps maintain trust in the data.
WhyLabs is user-friendly and suitable for both small teams and large organizations. It offers integrations with popular tools and frameworks, which makes it easier to fit into existing workflows. This way, teams can focus more on building great models rather than worrying about data issues.
Pricing
| Plan | Price | Description |
|---|---|---|
| Starter | Free | ML and Data Monitoring for individuals |
| Expert | $125.00 (Per Month) | For small and growing teams |
| Enterprise | Contact Us | For advanced scale, security and support needs |
| Test | $0.00 (-10 test With One-Time Purchase) | Test |
Key features
Real-time Monitoring
Continuously checks data for any changes or anomalies.
Data Quality Assessment
Helps ensure that data is accurate and reliable.
Custom Alerts
Users can set up alerts for specific data conditions or thresholds.
Integration Support
Works well with popular data tools and platforms.
User-friendly Dashboards
Easy-to-read visuals that show data health and performance.
Anomaly Detection
Automatically identifies unusual patterns in data.
Collaboration Tools
Allows teams to work together on data-related tasks.
Historical Data Analysis
Lets users review past performance to improve future models.
Pros & Cons
Pros
- Easy to Use
- Real-time Insights
- Customizable Alerts
- Strong Community Support
- Scalable Solution
Cons
- Pricing Concerns
- Learning Curve
- Limited Offline Access
- Integration Challenges
- Occasional Glitches
Feature Ratings
Based on real user reviews, here's how users rate different features of this product.
Deployment
Allows users to input models built in a variety of languages. This feature was mentioned in 17 WhyLabs reviews.
Based on 17 reviewsAllows users to choose the framework or workbench of their preference. This feature was mentioned in 19 WhyLabs reviews.
Based on 19 reviewsRecords versioning as models are iterated upon. 17 reviewers of WhyLabs have provided feedback on this feature.
Based on 17 reviewsProvides a way to quickly and efficiently deploy machine learning models. This feature was mentioned in 19 WhyLabs reviews.
Based on 19 reviewsBased on 18 WhyLabs reviews. Offers a way to scale the use of machine learning models across an enterprise.
Based on 18 reviewsAllows users to input models built in a variety of languages. 18 reviewers of WhyLabs have provided feedback on this feature.
Based on 18 reviewsBased on 20 WhyLabs reviews. Allows users to choose the framework or workbench of their preference.
Based on 20 reviewsAs reported in 17 WhyLabs reviews. Records versioning as models are iterated upon.
Based on 17 reviewsProvides a way to quickly and efficiently deploy machine learning models. This feature was mentioned in 20 WhyLabs reviews.
Based on 20 reviewsBased on 21 WhyLabs reviews. Offers a way to scale the use of machine learning models across an enterprise.
Based on 21 reviewsManagement
Records and organizes all machine learning models that have been deployed across the business. 16 reviewers of WhyLabs have provided feedback on this feature.
Based on 16 reviewsTracks the performance and accuracy of machine learning models. This feature was mentioned in 21 WhyLabs reviews.
Based on 21 reviewsBased on 15 WhyLabs reviews. Provisions users based on authorization to both deploy and iterate upon machine learning models.
Based on 15 reviewsAllows users to manage model artifacts and tracks which models are deployed in production. This feature was mentioned in 15 WhyLabs reviews.
Based on 15 reviewsBased on 15 WhyLabs reviews. Records and organizes all machine learning models that have been deployed across the business.
Based on 15 reviewsTracks the performance and accuracy of machine learning models. 20 reviewers of WhyLabs have provided feedback on this feature.
Based on 20 reviewsProvisions users based on authorization to both deploy and iterate upon machine learning models. This feature was mentioned in 16 WhyLabs reviews.
Based on 16 reviewsOperations
Control model usage and performance in production This feature was mentioned in 19 WhyLabs reviews.
Based on 19 reviewsDeploy mission-critical ML applications where and when you need them This feature was mentioned in 16 WhyLabs reviews.
Based on 16 reviewsAs reported in 18 WhyLabs reviews. Easily compare experiments—code, hyperparameters, metrics, predictions, dependencies, system metrics, and more—to understand differences in model performance.
Based on 18 reviewsRating Distribution
Screenshots
User Reviews
View all reviews on G2A must have if you're organization is mature enough to use it
What do you like best about WhyLabs?
The core functionality is explicitly important when you are having AI/ML solutions running on production. Instead of spending time on manual checks (that can be prone to error) you can set up monitors to inform you if something is going wrong. It is flexible enough to build your cusotm metric and monitors which allows for versatile usage.
What is highly important to me is the contact with WhyLabs team. Their support is superb which results in fact that even if something is difficult to implement, I know I have people who will help me get the best out of the platform.
What do you dislike about WhyLabs?
Building custom monitors and metrics is a chellanging experience. I struggle sometimes with code issues so better FAQ or documentation could be helpfull to avoid them.
What problems is WhyLabs solving and how is that benefiting you?
We are having multiple user facing projects that are working on production. We need to know if their performance is deteriorating, if we see some bias, data drift or missing data.
Developed efficient solutions for optimizing ERP workflows through data analysis
What do you like best about WhyLabs?
One of the standout features of WhyLabs is its robust data observability capabilities. It provides continuous monitoring of data pipelines and ML models, allowing teams to quickly identify issues like data drift, model degradation, and training-serving skew. The ...
Whylabs helped us setup end-to-end monitoring of our ML projects
What do you like best about WhyLabs?
* The customer support is very helpful and proactive
* Tool allows for easy ingestion of big number of features and setting up initial monitoring on them
* We can use it to monitor both: input quality and model performance
* The alerts can be raised to specific g...
Excellent tool for ML Monitoring with many out-of-the box solutions
What do you like best about WhyLabs?
Great to collaborate with; very responsive; really appreciate their OHs to help out with issues that pop up; many out-of-the-box solutions for different kinds of ML models which really helped us out given the wide variety of ML models we run at the company.
What...
Easy Integration and Outstanding LLM Monitoring with WhyLabs AI Observatory
What do you like best about WhyLabs?
The foremost aspect that stood out for us was the ease of integration. It was quite straightforward, almost as same as the sample code to put LangKit into our LLM pipeline and upload it to WhyLabs. The getting-started docs were clear and concise. Even for compani...
Company Information
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FAQ
Here are some frequently asked questions about WhyLabs.
WhyLabs is a platform that provides data observability solutions for teams managing machine learning models.
It assesses and monitors data to ensure it remains accurate and reliable throughout the process.
Yes, users can customize alerts to notify them of specific data changes or thresholds.
Absolutely! WhyLabs is designed to be user-friendly for teams of all sizes.
It supports various integrations with popular data tools, making it easy to fit into current workflows.
Key features include real-time monitoring, data quality assessment, customizable alerts, and more.
Yes, WhyLabs often offers a trial period for new users to explore its features.
WhyLabs provides community support, documentation, and customer service to assist users.
