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Diffgram VS Dataiku

Compare Diffgram VS Dataiku and see what are their differences

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LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. featured
Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

Diffgram logo Diffgram

Data Annotation Platform

Dataiku logo Dataiku

Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.
  • 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'.
  • Dataiku Landing page
    Landing page //
    2023-08-17

Diffgram videos

+ Add

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

More videos:

  • Demo - Deep Learning Images & Videos with Diffgram

Dataiku videos

+ Add

AutoML with Dataiku: And End-to-End Demo

More videos:

  • Review - Dataiku: For Everyone in the Data-Powered Organization
  • Tutorial - Dataiku DSS Tutorial 101: Your very first steps

Category Popularity

0-100% (relative to Diffgram and Dataiku)

Diffgram

Dataiku

Data Science And Machine Learning
12 12%
Data Science And Machine Learning
88% 88
AI
100 100%
AI
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100
Data Labeling
100 100%
Data Labeling
0% 0

User comments

Share your experience with using Diffgram and Dataiku. For example, how are they different and which one is better?
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Reviews

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

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

    🏁 Competitors: Labelbox
    👍 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.

    🏁 Competitors: Labelbox
    👍 Pros:    Data|Interface|Speed|Support response time

Dataiku Reviews

15 data science tools to consider using in 2021
Some platforms are also available in free open source or community editions -- examples include Dataiku and H2O. Knime combines an open source analytics platform with a commercial Knime Server software package that supports team-based collaboration and workflow automation, deployment and management.
Source: searchbusinessanalytics.techtarget.com
The 16 Best Data Science and Machine Learning Platforms for 2021
Description: Dataiku offers an advanced analytics solution that allows organizations to create their own data tools. The company’s flagship product features a team-based user interface for both data analysts and data scientists. Dataiku’s unified framework for development and deployment provides immediate access to all the features needed to design data tools from scratch....
Source: solutionsreview.com

What are some alternatives?

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

Labelbox - Build computer vision products for the real world

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Hive - Seamless project management and collaboration for your team.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

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

NumPy - NumPy is the fundamental package for scientific computing with Python

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