Software Alternatives & Reviews

Floyd VS Diffgram

Compare Floyd VS Diffgram and see what are their differences

Floyd logo Floyd

Heroku for deep learning

Diffgram logo Diffgram

Data Annotation Platform
  • Floyd Landing page
    Landing page //
    2023-03-20
  • Diffgram Landing page
    Landing page //
    2021-04-22

Diffgram is open source annotation and training data software.

  1. Flexible deploy and many integrations - run Diffgram anywhere in the way you want.
  2. Scale every aspect - from volume of data, to number of supervisors, to ML speed up approaches.
  3. Fully featured - 'batteries included'.

Floyd videos

How to: Floyd Bed and Purple Mattress + Review (Not Sponsored)

More videos:

  • Review - Floyd Bed Frame Setup and Review - Is it Supportive Enough?
  • Review - FLOYD (FLAT PACK) REVIEW/UNBOXING | THE SOFA + THE COFFEE TABLE + THE FLOYD BED | APARTMENT BUNDLE

Diffgram videos

Easily Import & Export from {AWS, GCP} without API integration

More videos:

  • Demo - Deep Learning Images & Videos with Diffgram

Category Popularity

0-100% (relative to Floyd and Diffgram)
Data Science And Machine Learning
AI
44 44%
56% 56
Developer Tools
32 32%
68% 68
Data Labeling
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Floyd and Diffgram

Floyd Reviews

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Diffgram Reviews

  1. Fast and did everything we needed

    Overall really really happy with the tool and the team. Excited that it's now open source our team is already building an integration

    ๐Ÿ Competitors: Labelbox
    ๐Ÿ‘ Pros:    Fast|Powerful|Flexible
  2. Best data handling - fast response times

    Amazing import options and data sync. Really happy with speed and responsiveness of team.

    ๐Ÿ Competitors: Labelbox
    ๐Ÿ‘ Pros:    Data|Interface|Speed|Support response time

What are some alternatives?

When comparing Floyd and Diffgram, you can also consider the following products

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Azure Machine Learning Service - Build and deploy machine learning models in a simplified way with Azure Machine Learning service. Make machine learning more accessible with automated capabilities.

V7 - Pixel perfect image labeling for industrial, medical, and large scale dataset creation. Create ground truth 10 times faster.