Software Alternatives, Accelerators & Startups

Dash by Plotly VS Dataiku

Compare Dash by Plotly VS Dataiku and see what are their differences

Dash by Plotly logo Dash by Plotly

Dash is a Python framework for building analytical web applications. No JavaScript required.

Dataiku logo Dataiku

Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.
  • Dash by Plotly Landing page
    Landing page //
    2023-05-22
  • Dataiku Landing page
    Landing page //
    2023-08-17

Dataiku

$ Details
-
Release Date
2013 January
Startup details
Country
United States
State
New York
City
New York
Founder(s)
Clément Stenac
Employees
500 - 999

Dash by Plotly videos

No Dash by Plotly videos yet. You could help us improve this page by suggesting one.

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Dataiku videos

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 Dash by Plotly and Dataiku)
Developer Tools
100 100%
0% 0
Data Science And Machine Learning
Productivity
100 100%
0% 0
Data Science Tools
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 Dash by Plotly and Dataiku

Dash by Plotly Reviews

Top 10 Tableau Open Source Alternatives: A Comprehensive List
To learn more about Plotly-Dash, you can click here to check out their official website.
Source: hevodata.com

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.
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....

Social recommendations and mentions

Based on our record, Dash by Plotly seems to be more popular. It has been mentiond 1 time 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.

Dash by Plotly mentions (1)

  • [Python] NiceGUI: Lassen Sie jeden Browser das Frontend für Ihren Python-Code sein
    Of course there are valid use cases for splitting frontend and backend technologies. NiceGUI is for those who don’t want to leave the Python ecosystem and like to reap the benefits of having all code in one place. There are other options like Streamlit, Dash, Anvil, JustPy, and Pynecone. But we initially created NiceGUI to easily handle the state of external hardware like LEDs, motors, and cameras. Additionally,... Source: about 1 year ago

Dataiku mentions (0)

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

What are some alternatives?

When comparing Dash by Plotly and Dataiku, you can also consider the following products

Streamsync - Streamsync is an open-source framework for creating data apps. Build user interfaces using a visual editor; write the backend code in Python.

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

Streamlit - Turn python scripts into beautiful ML tools

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

Anvil.works - Build seriously powerful web apps with all the flexibility of Python. No web development experience required.

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