Software Alternatives & Reviews

Prodigy VS DeepAI

Compare Prodigy VS DeepAI and see what are their differences


Radically efficient machine teaching

Easily build the power of AI into your applications
Prodigy Landing Page
Prodigy Landing Page
DeepAI Landing Page
DeepAI Landing Page

Prodigy details

Categories
Product Lifecycle Management (PLM) Project Management CRM
Website prodi.gy  

DeepAI details

Categories
AI Platform Developer Tools Artificial Intelligence
Website deepai.org  

Prodigy videos

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DeepAI videos

Adding colours to old images using machine learning | Algorithmia | deepai

Category Popularity

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Social recommendations and mentions

Based on our record, Prodigy should be more popular than DeepAI. It has been mentiond 10 times since March 2021. We are tracking product recommendations and mentions on Reddit, HackerNews and some other platforms. They can help you identify which product is more popular and what people think of it.

Prodigy mentions (10)

  • [D] Extract text from classification
    If your address comes in different forms and shapes then you won't go too far with a regex so NER seems like a viable approach here . The downside is that you need quite a few labelled address data which is hard to find, or time consuming to label. If you really want to go down this path you would need to find a labelling framework, I remember that my team used prodigy a couple of years ago but there might be... - Source: Reddit / 29 days ago
  • Detect words based of context
    In addition to Flair you can also use SpaCy in conjunction with Prodigy as this is a fairly standard use of that toolkit. - Source: Reddit / about 2 months ago
  • Launch HN: Lightly (YC S21): Label only the data which improves your ML model
    Having built a model to identify sensitive data having a solid data labeling solution would be awesome. https://github.com/capitalone/DataProfiler In this space, Prodigy really dominates: https://prodi.gy/ We actually built our own internal system which integrates and can export the labels (does predictive labeling, etc). Of course, we only focused on text data at the moment. - Source: Hacker News / 3 months ago
  • Show HN: An annotation tool for ML and NLP
    Hey HN! Markup is an open-source annotation tool for transforming unstructured documents into a structured format that can be used for ML, NLP, etc. Markup learns as you annotate in order to speed up the process by suggesting complex annotations to you. There are also a few different in-built tools, including: - A data generator that helps you to produce synthetic data for training the suggestion model - An... - Source: Hacker News / 4 months ago
  • How often is NER (named entity recognition) a process in your model building process?
    Https://prodi.gy used for annotating for spacy. - Source: Reddit / 5 months ago
View all

DeepAI mentions (2)

What are some alternatives?

When comparing Prodigy and DeepAI, you can also consider the following products

Propel - Propel is a customer-centric PLM software built on Salesforce App Cloud platform.

Recombee - Recommender system as a service that uses advanced Machine Learning and Artificial Intelligence algorithms. Easy to try and evaluate.

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

OpenAI Universe - Platform for measuring and training AI agents

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

Fuzzy.ai - Build smarter software. An AI decision-making API.

User reviews

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