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Comet.ml VS AWS Chatbot

Compare Comet.ml VS AWS Chatbot and see what are their differences

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

Comet.ml logo Comet.ml

Comet lets you track code, experiments, and results on ML projects. It’s fast, simple, and free for open source projects.

AWS Chatbot logo AWS Chatbot

AWS Chatbot is an interactive agent that makes it easy to monitor and interact with your AWS resources from your team chat room. Learn more about the key benefits and how it works.
  • Comet.ml Landing page
    Landing page //
    2023-09-16
  • AWS Chatbot Landing page
    Landing page //
    2022-01-29

Comet.ml videos

+ Add

Running Effective Machine Learning Teams: Common Issues, Challenges & Solutions | Comet.ml

More videos:

  • Review - Comet.ml - Supercharging Machine Learning

AWS Chatbot videos

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AWS Chatbot Overview

More videos:

  • Review - AWS Chatbot: ChatOps for AWS - AWS Online Tech Talks

Category Popularity

0-100% (relative to Comet.ml and AWS Chatbot)

Comet.ml

AWS Chatbot

Data Science And Machine Learning
88 88%
Data Science And Machine Learning
12% 12
DevOps Tools
0 0%
DevOps Tools
100% 100
Machine Learning
100 100%
Machine Learning
0% 0
Dev Ops
0 0%
Dev Ops
100% 100

User comments

Share your experience with using Comet.ml and AWS Chatbot. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, AWS Chatbot seems to be more popular. It has been mentiond 6 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.

Comet.ml mentions (0)

We have not tracked any mentions of Comet.ml yet. Tracking of Comet.ml recommendations started around Mar 2021.

AWS Chatbot mentions (6)

  • Setting up my own landing zone on AWS
    For visibility of the pipelines I have set up a NotificationTopic , this topic is a SNS Topic that has AWS ChatBot as a subscriber. Chatbot will then send the updates to my Slack workspace that I have set up. This way when the pipeline is triggered I will get the notifications on my phone and laptop. - Source: dev.to / 5 months ago
  • AWS Security Survival Kit
    Setup AWS Chatbot for best experience to get notified directly on Slack and MS Teams. - Source: dev.to / 10 months ago
  • DevSecOps with AWS – ChatOps with AWS and AWS Developer Tools – Part 1
    AWS Chatbot: Monitor, operate, and troubleshoot your AWS resources with interactive ChatOps. - Source: dev.to / about 1 year ago
  • Bring AWS Notifications Into Your Slack Channel
    Meet AWS Chatbot. Interactive agent that makes it easier to monitor and interact with your Amazon Web Services (AWS) resources from your team’s Slack channels. By integrating AWS Chatbot with Slack, DevOps teams can receive real-time notifications, view incident details, and response incident quickly without need to cycle among other tools. - Source: dev.to / over 1 year ago
  • ELI5: how do bots post and reply to stuff?
    Modern machine learning algorithms are basically pattern recognition machines. They can recognize patterns in speech and can create convincing variations of that speech. Modern chatbot programs have become widely available to the public over the last decade. It's easy for anyone with a few hundred bucks to buy AWS Chatbot time and some basic programming knowledge to create a chatbot that could post convincingly... Source: over 1 year ago
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What are some alternatives?

When comparing Comet.ml and AWS Chatbot, 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

Spell - Deep Learning and AI accessible to everyone

Nanonets - Worlds best image recognition, object detection and OCR APIs. NanoNets’ platform makes it straightforward and fast to create highly accurate Deep Learning models.

Weights & Biases - Developer tools for deep learning research

AWS CodePipeline - Continuous delivery service for fast and reliable application updates

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