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Deepchecks Monitoring

Deepchecks Monitoring

Open Source Monitoring for AI & ML

4.9•26 reviews•

585 followers

Open Source Monitoring for AI & ML

4.9•26 reviews•

585 followers

Visit website
Predictive AI
•
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/stableGitHub
Deepchecks Monitoring Info
Launched in 2022View 3 launches
Forum
p/deepchecks-monitoring
Awards
Deepchecks Testing Package was ranked #2 of the day for August 8th, 2022
Deepchecks Monitoring was ranked #3 of the day for June 18th, 2023
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Deepchecks Monitoring Launches

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

Launched on November 28th, 2023

Deepchecks Monitoring
Deepchecks Monitoring Open source monitoring for AI & ML

Launched on June 18th, 2023

Deepchecks Monitoring was ranked #3 of the day for June 18th, 2023
Deepchecks Monitoring was ranked #3 of the day for 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.

Idan BasreAlex ReibmanDima Goldenberg
+23
Summarized with AI
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Pros
open source (6)
easy to use (5)
continuous ML validation (2)
python integration (2)
Yarden Albeck
Yarden Albeck
•2 reviews
.
Report
2yr ago
Idan Basre
Idan Basre
•1 review
I like the approach. Easy to use and democratizing our dev world.
Report
2yr ago
Alex Reibman
Alex Reibman
•6 reviews
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!
Report
2yr ago