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Spell VS Evidently AI

Compare Spell VS Evidently AI 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
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Spell logo Spell

Deep Learning and AI accessible to everyone

Evidently AI logo Evidently AI

Open-source monitoring for machine learning models
  • Spell Landing page
    Landing page //
    2022-09-23
  • Evidently AI Landing page
    Landing page //
    2023-08-19

Spell videos

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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

Evidently AI videos

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How to Monitor Machine Learning Models (Evidently AI)

Category Popularity

0-100% (relative to Spell and Evidently AI)

Spell

Evidently AI

Data Science And Machine Learning
75 75%
Data Science And Machine Learning
25% 25
AI
54 54%
AI
46% 46
Developer Tools
40 40%
Developer Tools
60% 60
Data Science Notebooks
100 100%
Data Science Notebooks
0% 0

User comments

Share your experience with using Spell and Evidently AI. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Evidently AI seems to be more popular. It has been mentiond 2 times 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.

Evidently AI mentions (2)

  • [D] Using MLFlow for model performance tracking
    It is doable. However the main focus of MLFlow is in experiment tracking. I would suggest for you to look into another monitoring tools such evidentlyai . You can track more things than performance (e.g.data drift). Which may be helpful in a production setting. Source: over 1 year ago
  • Five Data Quality Tools You Should Know
    Evidently is an open-source Python library that analyzes and monitors machine learning models. It generates interactive reports based on Panda DataFrames and CSV files for troubleshooting models and checking data integrity. These reports show model health, data drift, target drift, data integrity, feature analysis, and performance by segment. - Source: dev.to / over 2 years ago

What are some alternatives?

When comparing Spell and Evidently AI, 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.

ML5.js - Friendly machine learning for the web

Neuton.AI - No-code artificial intelligence for all

ML Showcase - A curated collection of machine learning projects

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

Lobe - Visual tool for building custom deep learning models

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