Software Alternatives & Reviews

Box Skills Kit VS Prodigy

Compare Box Skills Kit VS Prodigy and see what are their differences


Connect AI with Box in just a few lines of code

Radically efficient machine teaching
Box Skills Kit Landing Page
Box Skills Kit Landing Page
Prodigy Landing Page
Prodigy Landing Page

Box Skills Kit details

Categories
Machine Learning Image Analysis OCR
Website box.com  

Prodigy details

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

Category Popularity

0-100% (relative to Box Skills Kit and Prodigy)
36
36%
64%
64
24
24%
76%
76
100
100%
0%
0

Social recommendations and mentions

Based on our record, Prodigy seems to be more popular. 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.

Box Skills Kit mentions (0)

We have not tracked any mentions of Box Skills Kit yet. Tracking of Box Skills Kit recommendations started around Mar 2021.

Prodigy mentions (10)

  • 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 / 10 days 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 / about 1 month 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 / 3 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 / 3 months ago
  • Can't connect to a remote MongoDB server via Python on WSL2?
    I am using Prodigy in conjunction with mondigy to annotate data stored in a remotely hosted MongoDB server. I always receive timeout errors. On OSX and Ubuntu, I do not receive timeout errors. The Conda environments are identical (aside from OSX using a different binary). - Source: Reddit / 4 months ago

What are some alternatives?

When comparing Box Skills Kit and Prodigy, you can also consider the following products

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

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

Fusion Lifecycle PLM - Cloud-based Product Lifecycle Management (PLM)

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

DeepAI - Easily build the power of AI into your applications

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

User reviews

Share your experience with using Box Skills Kit and Prodigy. For example, how are they different and which one is better?

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