Software Alternatives & Reviews

ModelDepot VS Qualdo™

Compare ModelDepot VS Qualdo™ and see what are their differences

ModelDepot logo ModelDepot

Curated Machine Learning models to ⚡supercharge⚡your product

Qualdo™ logo Qualdo™

Monitor mission-critical data quality & ML issues and drifts
  • ModelDepot Landing page
    Landing page //
    2021-08-01
  • Qualdo™ Landing page
    Landing page //
    2023-06-15

Qualdo.ai is a leader in monitoring and improving data quality and ML-Models for enterprises adopting a multi-cloud and modern data ecosystem. Qualdo.ai is a proprietary SaaS product where Data-Quality meets Model Monitoring.

Available on Azure, AWS and Google cloud databases, Qualdo™ helps enterprises monitor mission-critical ML & data issues, errors, and quality using Augmented Data Engineering. In other words, performance is measured and monitored in autopilot mode.

Category Popularity

0-100% (relative to ModelDepot and Qualdo™)
Developer Tools
51 51%
49% 49
AI
52 52%
48% 48
APIs
100 100%
0% 0
Tech
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, ModelDepot seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

ModelDepot mentions (1)

Qualdo™ mentions (0)

We have not tracked any mentions of Qualdo™ yet. Tracking of Qualdo™ recommendations started around May 2021.

What are some alternatives?

When comparing ModelDepot and Qualdo™, you can also consider the following products

PerceptiLabs - A tool to build your machine learning model at warp speed.

Monitor ML - Real-time production monitoring of ML models, made simple.

Evidently AI - Open-source monitoring for machine learning models

TensorFlow Lite - Low-latency inference of on-device ML models

Dioptra - Dioptra is a data centric platform to automate continuous model improvement.

Roboflow Universe - You no longer need to collect and label images or train a ML model to add computer vision to your project.