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Spell VS Continual

Compare Spell VS Continual and see what are their differences

Flagsmith
Flagsmith lets you manage feature flags and remote config across web, mobile and server side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features. We're Open Source. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Spell logo Spell

Deep Learning and AI accessible to everyone

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.
  • Spell Landing page
    Landing page //
    2022-09-23
  • Continual Landing page
    Landing page //
    2023-08-24

Spell videos

+ Add

Love Spells 24 Reviews 💙 My experience with their spells (excited to share)

More videos:

  • Review - SPELL Opulent Decay Album Review | Overkill Reviews
  • Review - LETS REVIEW Spells That Work

Continual videos

No Continual videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to Spell and Continual)

Spell

Continual

Data Science And Machine Learning
87 87%
Data Science And Machine Learning
13% 13
AI
81 81%
AI
19% 19
Developer Tools
74 74%
Developer Tools
26% 26
Data Science Notebooks
100 100%
Data Science Notebooks
0% 0

User comments

Share your experience with using Spell 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.

Spell mentions (0)

We have not tracked any mentions of Spell yet. Tracking of Spell 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 Spell 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

Neuton.AI - No-code artificial intelligence for all

anon - Machine learning, automated

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.

Evidently AI - Open-source monitoring for machine learning models

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