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CodeTogether VS Comet.ml

Compare CodeTogether VS Comet.ml and see what are their differences

JackHamr
AI agents that spec, build, test, and ship code — with voice chat, deep GitHub integration, and zero LLM markup. sponsored
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Contents:
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CodeTogether logo CodeTogether

Live share IDEs and coding sessions. See changes in real time.

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.
Not present

CodeTogether is the perfect blend of functionality and simplicity, designed by a team of remote developers that rely on collaborative development. Whether you are on an Agile team that uses pair programming as part of your regular software development flow or you just like to live share your code in the occasional troubleshooting session, CodeTogether is the best tool for pair programming, mob programming, code review, and more! If you’ve been using screen sharing or an online code editor for collaborative coding, you’ll be amazed at the difference! Seeing is believing—watch our linked videos to see CodeTogether in action.

  • Comet.ml Landing page
    Landing page //
    2023-09-16

CodeTogether

Website
codetogether.com
Pricing URL
Official CodeTogether Pricing
$ Details
paid Free Trial $10 / Monthly (Starter Plan, up to 25 users)
Platforms
Windows Mac OSX Linux
Release Date
2020 May
Edit details

Comet.ml

Website
comet.com
Pricing URL
-
$ Details
-
Platforms
-
Release Date
-
Edit details

CodeTogether features and specs

  • End-to-End Encryption
  • On-Premises
    Available
  • Cross-platform support
    Across multiple IDEs and browsers, no vendor lock-in
  • Host-provided intelligence
    Advanced content assist, validation, navigation, etc.
  • Simultaneous Coding
    Code in any group (even in the same file at the same time) or on your own
  • Shared servers, terminals & consoles
    Hosts can share servers for remote access, and terminals that optionally allow guests to execute commands
  • Run Tests & Launches
    Guests can remotely run tests and analyze results. They can also execute run configurations from the host IDE.
  • Audio/Video & Screen Sharing
    Option to invite guests that aren't part of the coding session

Comet.ml features and specs

  • Experiment Tracking
    Comet.ml provides robust experiment tracking capabilities that allow data scientists to log and visualize various experiment parameters, metrics, and results, making it easier to track the progress and compare performance across different models.
  • Collaboration
    The platform supports team collaboration by allowing multiple users to share projects and experiment results, fostering teamwork and knowledge sharing among data science teams.
  • Integration
    Comet.ml integrates with a wide range of popular machine learning frameworks and tools, such as TensorFlow, Keras, PyTorch, and Scikit-learn, facilitating seamless workflow integration.
  • Visualization
    The platform offers comprehensive visualization tools that enable users to analyze data through various types of plots, charts, and graphs, providing insights into model performance and decision-making.
  • Cloud-based Platform
    As a cloud-based solution, Comet.ml provides scalability and easy access to experiment data from anywhere, reducing the need for local data storage and infrastructure management.

Possible disadvantages of Comet.ml

  • Cost
    While Comet.ml offers a free tier, advanced features and larger-scale projects require a paid subscription, which can be a limitation for some users and organizations with budget constraints.
  • Learning Curve
    New users might experience a learning curve when getting started with the platform, especially those unfamiliar with setting up experiment tracking and navigating through the features.
  • Data Security Concerns
    As with any cloud-based platform, there may be data security concerns when uploading sensitive or proprietary experiment data to Comet.ml's servers.
  • Feature Overhead
    The wide array of features and tools available may be overwhelming for users who require only basic functionality, leading to potential feature overload.
  • Dependency on Internet Connection
    Being a cloud-based service, Comet.ml requires a stable internet connection for optimal performance, which might be a drawback in areas with poor connectivity.

CodeTogether videos

+ Add

CodeTogether: The Complete Overview to Live Sharing your IDE

Comet.ml videos

+ Add

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

More videos:

  • Review - Comet.ml - Supercharging Machine Learning

Category Popularity

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

CodeTogether

Comet.ml

Code Collaboration
100 100%
Code Collaboration
0% 0
AI
0 0%
AI
100% 100
Programming Tools
100 100%
Programming Tools
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100

User comments

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

Based on our record, CodeTogether seems to be more popular. It has been mentiond 4 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.

CodeTogether mentions (4)

  • Hey! Are there any coding platforms where you can share a simple link with other people to use an app? I keep wanting to find something other than code.org (which makes sharing pretty easy and accessible to anyone)
    Looking for collaboration and advanced features? Most decent ones cost money ... Start with replit.com, also look at codeanywhere.com, and also codetogether.com (requires download, free+paid plans). Source: over 4 years ago
  • QUESTION: How to manage pair programming?
    Are you using the right tools? Screen sharing isn't great for longer sessions, and you need a code focused tool like Live Share, or one we make - CodeTogether, especially if you need to work across IDEs. Source: over 5 years ago
  • dual keyboard / mouse input?
    Just addressing the pair programming aspect of this - if you were doing this remotely, you could use something like codetogether.com Each of you would have your own machines and screens, but be looking at the same piece of code (if you want) or investigate / code in different areas of the project too. Source: over 5 years ago
  • PhpStorm 2021.1 Released: Preview for PHP and HTML Files, 20+ New Inspections, Improvements in All Subsystems, and Pair Programming via Code With Me
    If any of you are looking for a pair/mob programming solution that works across IDEs, do try codetogether.com. Host in IntelliJ, join from VS Code or Eclipse if you want. We just added the support for writeable shared terminals. Video covering all the features is here: https://youtu.be/OgCWc3hTBc0. Source: over 5 years ago

Comet.ml mentions (0)

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

What are some alternatives?

When comparing CodeTogether and Comet.ml, you can also consider the following products

CodeShare.io - Realtime code sharing for developers

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.

Visual Studio Live Share - Real-time collaborative development

Spell - Deep Learning and AI accessible to everyone

Teletype for Atom - Collaborate in real time in Atom

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.

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