Software Alternatives & Reviews

Prodigy VS Comet.ml

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

Prodigy logo Prodigy

Radically efficient machine teaching

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.
  • Prodigy Landing page
    Landing page //
    2023-10-22
  • Comet.ml Landing page
    Landing page //
    2023-09-16

Prodigy videos

The Prodigy - Movie Review

More videos:

  • Review - Prodigy Math Game Review
  • Review - PRODIGY MATH for Homeschool?! Hmm...

Comet.ml videos

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 Prodigy and Comet.ml)
AI
100 100%
0% 0
Data Science And Machine Learning
Product Lifecycle Management (PLM)
Data Science Notebooks
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Prodigy seems to be more popular. It has been mentiond 25 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.

Prodigy mentions (25)

  • Launch HN: Encord (YC W21) – Unit testing for computer vision models
    This is really cool. The annotation-to-testing-to-annotation-etc. Feedback loop makes a ton of sense, and I'd encourage others who may be confused on this post to look at the Automotus case study https://encord.com/customers/automotus-customer-story/ for the annotation side, but my understanding is the relationship between model outputs and annotation steering is out of scope for that project - do you know of... - Source: Hacker News / 3 months ago
  • Against LLM Maximalism
    Spacy [0] is a state-of-art / easy-to-use NLP library from the pre-LLM era. This post is the Spacy founder's thoughts on how to integrate LLMs with the kind of problems that "traditional" NLP is used for right now. It's an advertisement for Prodigy [1], their paid tool for using LLMs to assist data labeling. That said, I think I largely agree with the premise, and it's worth reading the entire post. The steps... - Source: Hacker News / 7 months ago
  • Remote Work 2.0: The Tools, Trends, and Challenges of the Post-Pandemic Work Era
    Prodigy AI - Offers software engineers career coaching, skill assessment, and job matching. Visit Prodigy AI. - Source: dev.to / 9 months ago
  • [D] A model to extract relevant information from a Sample Ballot.
    I essentially want to use a Combo of OCR + NER to attempt to identify this, but I'm not sure NER is well suited for this, as it is not natural language, so there is little context to go off of. I was thinking of perhaps using Prodigy, a data annotation tool, to annotate Candidate Names, Races, etc, and perhaps it will be able to learn off of image data alone wheat these fields tend to look like. Source: 12 months ago
  • Sampling leaves from a tree
    I come from a similar application area, where I try to tag (annotation/label) a taxonomy of products iteratively. You are trying something slightly different, AFAIU, labeling a flat set of songs, each song with a set of tags from ontology (directed graph)From an application point of view, this is what taxonomists often do, when migrating products from one catalog to another: mapping one taxonomy to another. There... Source: over 1 year ago
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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 Prodigy and Comet.ml, you can also consider the following products

Enovia - ENOVIA offers product lifecycle management (PLM) solutions fostering innovation and operational excellence across industries.

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.

Omnify PLM - Omnify PLM is a business-ready product lifecycle management solution.

Managed MLflow - Managed MLflow is built on top of MLflow, an open source platform developed by Databricks to help manage the complete Machine Learning lifecycle with enterprise reliability, security, and scale.

Arena PLM - Arena offers PLM solutions for manufacturing teams to speed prototyping, reduce scrap, and streamline supply chain management.

Weights & Biases - Developer tools for deep learning research