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Deepchecks Monitoring: Open Source Monitoring for AI & ML | Product Hunt

Deepchecks Monitoring

Open Source Monitoring for AI & ML

4.9•26 reviews•

586 followers

Open Source Monitoring for AI & ML

4.9•26 reviews•

586 followers

•

AI Infrastructure Tools

•

AI Metrics and Evaluation

Deepchecks Monitoring takes the open source testing experience all the way to production: enabling you to send data over time, explore system status and receive alerts on problems that arise over time.

Overview
Launches3
Reviews26
Alternatives
Team
Awards
More

Company Info

docs.deepchecks.com/monitoring/stable GitHub

Deepchecks Monitoring Info

Launched in 2022 View 3 launches

Forum

p/deepchecks-monitoring

Awards

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Deepchecks Monitoring Launches

Deepchecks LLM Evaluation Validate, monitor, and safeguard LLM-based apps

Launched on November 28th, 2023

Deepchecks Monitoring Open source monitoring for AI & ML

Launched on June 18th, 2023

Do you use Deepchecks Monitoring?

4.9

Based on 26 reviews

Review Deepchecks Monitoring?

Deepchecks Monitoring is highly praised for its ease of use and effectiveness in addressing major pain points in MLOps. Users appreciate its open-source nature, which democratizes AI monitoring and validation. The tool is noted for its comprehensive features, including root cause analysis, tracking checks over time, and setting alert rules, which are crucial for effective ML monitoring. The intuitive user interface and broad support for different data types make it versatile for various ML projects. Overall, Deepchecks is recommended for its continuous improvement and value to data scientists and ML engineers.

+23

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Pros

open source (6)

easy to use (5)

continuous ML validation (2)

python integration (2)

.

2yr ago

I like the approach. Easy to use and democratizing our dev world.

2yr ago

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!

2yr ago