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Launch Library VS Evidently AI

Compare Launch Library VS Evidently AI and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Launch Library logo Launch Library

Hundreds of resources on how to launch literally anything

Evidently AI logo Evidently AI

Open-source monitoring for machine learning models
  • Launch Library Landing page
    Landing page //
    2023-09-13
  • Evidently AI Landing page
    Landing page //
    2023-08-19

Launch Library videos

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Evidently AI videos

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How to Monitor Machine Learning Models (Evidently AI)

Category Popularity

0-100% (relative to Launch Library and Evidently AI)

Launch Library

Evidently AI

Web App
100 100%
Web App
0% 0
Developer Tools
0 0%
Developer Tools
100% 100
Business & Commerce
100 100%
Business & Commerce
0% 0
AI
22 22%
AI
78% 78

User comments

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Social recommendations and mentions

Based on our record, Evidently AI should be more popular than Launch Library. 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.

Launch Library mentions (1)

  • Ask HN: Who is hiring? (July 2021)
    Launch House | Founding Engingeer | REMOTE or LA/NYC | Full-time | https://launchhouse.co Launch House is a community of founders and creators. We rent mansions and bring 20+ founders to live in each one each month. In the past month alone, members have raised from firms like a16z (2x), Sequoia, and Paradigm. We are launching more cities and also digital programs soon. Looking for our first FT engineer. You'll be... - Source: Hacker News / about 3 years ago

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: almost 2 years 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 Launch Library and Evidently AI, you can also consider the following products

CALA - Build your fashion brand

ML Showcase - A curated collection of machine learning projects

Ada - Your Health Guide - Ada is a medical platform, available for iOS and Android, that helps users asses their symptoms.

Censius.ai - Building the future of MLOps

Metromile - Making every car a smart car

iko.ai - Real-time collaborative notebooks on your own Kubernetes clusters to train, track, package, deploy, and monitor your machine learning models.

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