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Weights & Biases VS Continual

Compare Weights & Biases VS Continual and see what are their differences

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Weights & Biases logo Weights & Biases

Developer tools for deep learning research

Continual logo Continual

Continual is the easiest way to build continually improving predictive models - from customer churn to inventory forecasts - directly on your cloud data warehouse.
  • Weights & Biases Landing page
    Landing page //
    2023-07-24
  • Continual Landing page
    Landing page //
    2023-08-24

Category Popularity

0-100% (relative to Weights & Biases and Continual)

Weights & Biases

Continual

Data Science And Machine Learning
84 84%
Data Science And Machine Learning
16% 16
AI
65 65%
AI
35% 35
Developer Tools
62 62%
Developer Tools
38% 38
Data Science Notebooks
100 100%
Data Science Notebooks
0% 0

User comments

Share your experience with using Weights & Biases and Continual. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Continual 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.

Weights & Biases mentions (0)

We have not tracked any mentions of Weights & Biases yet. Tracking of Weights & Biases recommendations started around Mar 2021.

Continual mentions (1)

  • Thoughts on SQL based auto-ML style tools
    Does anyone here use tools such as continual or postgresml? Basically ml on sql tools. Source: about 2 years ago

What are some alternatives?

When comparing Weights & Biases and Continual, you can also consider the following products

neptune.ai - Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.

Lobe - Visual tool for building custom deep learning models

Algorithmia - Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.

anon - Machine learning, automated

Managed MLflow - Managed MLflow is built on top of MLflow, an open source platform developed by Databricks to help manage the complete Machine Learning lifecycle with enterprise reliability, security, and scale.

Evidently AI - Open-source monitoring for machine learning models

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