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Dataiku VS spaCy

Compare Dataiku VS spaCy and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Dataiku logo Dataiku

Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.

spaCy logo spaCy

spaCy is a library for advanced natural language processing in Python and Cython.
  • Dataiku Landing page
    Landing page //
    2023-08-17
  • spaCy Landing page
    Landing page //
    2023-06-26

Dataiku

Website
dataiku.com
Pricing URL
Official Dataiku Pricing
$ Details
-
Release Date
2013 January
Startup details
Country
United States
State
New York
City
New York
Founder(s)
Clément Stenac
Employees
500 - 999
Edit details

spaCy

Website
spacy.io
Pricing URL
-
$ Details
Release Date
-
Edit details

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

spaCy videos

+ Add

Honda Spacy Helm in PGM-FI Review & Test Ride

More videos:

  • Review - Review Singkat Honda Spacy
  • Review - REVIEW HONDA SPACY 2018/2019

Category Popularity

0-100% (relative to Dataiku and spaCy)

Dataiku

spaCy

Data Science And Machine Learning
93 93%
Data Science And Machine Learning
7% 7
Natural Language Processing
0 0%
Natural Language Processing
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
NLP And Text Analytics
0 0%
NLP And Text Analytics
100% 100

User comments

Share your experience with using Dataiku and spaCy. 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 Dataiku and spaCy

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

spaCy Reviews

We have no reviews of spaCy yet.
Be the first one to post

Social recommendations and mentions

Based on our record, spaCy seems to be more popular. It has been mentiond 58 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.

Dataiku mentions (0)

We have not tracked any mentions of Dataiku yet. Tracking of Dataiku recommendations started around Mar 2021.

spaCy mentions (58)

  • Step by step guide to create customized chatbot by using spaCy (Python NLP library)
    Hi Community, In this article, I will demonstrate below steps to create your own chatbot by using spaCy (spaCy is an open-source software library for advanced natural language processing, written in the programming languages Python and Cython):. - Source: dev.to / 2 months ago
  • Best AI SEO Tools for NLP Content Optimization
    SpaCy: An open-source library providing tools for advanced NLP tasks like tokenization, entity recognition, and part-of-speech tagging. Source: 6 months ago
  • A beginner’s guide to sentiment analysis using OceanBase and spaCy
    In this article, I'm going to walk through a sentiment analysis project from start to finish, using open-source Amazon product reviews. However, using the same approach, you can easily implement mass sentiment analysis on your own products. We'll explore an approach to sentiment analysis with one of the most popular Python NLP packages: spaCy. - Source: dev.to / 7 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 / 8 months ago
  • What do you all think about (setq sentence-end-double-space nil)?
    I chose spacy. Although it's not state of the art, it's very well established and stable. Source: 11 months ago
View more

What are some alternatives?

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

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

Amazon Comprehend - Discover insights and relationships in text

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

Google Cloud Natural Language API - Natural language API using Google machine learning

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

FuzzyWuzzy - FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.

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