Software Alternatives & Reviews

Dlib VS Dataiku

Compare Dlib VS Dataiku and see what are their differences

Dlib logo Dlib

Dlib is a modern C++ toolkit containing machine learning algorithms & tools for creating complex software in C++ to solve real world problem

Dataiku logo Dataiku

Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.
  • Dlib Landing page
    Landing page //
    2019-11-25
  • Dataiku Landing page
    Landing page //
    2023-08-17

Dlib videos

Face Recognition with Dlib in Python

More videos:

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 Dlib and Dataiku)
Data Science And Machine Learning
Data Science Tools
9 9%
91% 91
Python Tools
9 9%
91% 91
Machine Learning
100 100%
0% 0

User comments

Share your experience with using Dlib and Dataiku. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

Dlib Reviews

10 Python Libraries for Computer Vision
Dlib is a versatile library that excels in face detection, facial landmark detection, image alignment, and more. It offers pre-trained models and tools for various machine learning tasks, making it a valuable asset for computer vision projects requiring accurate facial analysis.
Source: clouddevs.com
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
Dlib is a modern C++ toolkit containing machine learning algorithms and tools for developing complex software in C++ to solve real-world problems. Dlib is widely used in several sectors such as academia, government, and industry. It offers support for several computer vision algorithms such as object detection, face detection, and clustering.
Source: www.uubyte.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, Dlib seems to be more popular. It has been mentiond 17 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.

Dlib mentions (17)

  • 32 years old. HRT in April or May. Things I can do to maximize results and what to expect.
    The apparent gender estimates from photos are using dlib, and I really ought to get what I'm doing cleaned up in such a way that other people can use it easily. Source: about 1 year ago
  • C++ for machine learning
    Additionally, C++ may be used for extremely high levels of optimization even for cloud-based ML. Dlib and Kaldi are C++ libraries used as dependencies in Python codebases for computer vision and audio processing, for example. So if your application requires you to customize any functions similar to those libraries, then you'll need C++ knowhow. Source: over 1 year ago
  • What programming language should I learn after C++ for Audio DSP?
    If you know C++, you don't need anything else. Go and learn APIs for C++ libraries. If you're into DSP, why not study Dlib?. Source: over 1 year ago
  • Exponential vs linear progress?
    The data is mostly in this spreadsheet. The apparently facial gender estimates are made with Dlib. The mental health assessments are from Beck's Depression Inventory and the Snaith-Hamilton Pleasure Scale. The graph is made with gnuplot. Source: over 1 year ago
  • Flutter OpenCV and dlib for face detector & recognition
    The plugin uses dlib library with a very fast HOG detector for both face recognition and detector following the relative examples. Source: over 1 year ago
View more

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 Dlib and Dataiku, you can also consider the following products

OpenCV - OpenCV is the world's biggest computer vision library

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

PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...

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

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

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