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MLlib VS Dlib

Compare MLlib VS Dlib 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
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MLlib logo MLlib

MLlib is Spark's machine learning (ML) library that make practical machine learning scalable & provides ML Algorithms.

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
  • MLlib Landing page
    Landing page //
    2023-06-12
  • Dlib Landing page
    Landing page //
    2019-11-25

MLlib videos

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Using Spark Mllib Models in a Production Training and Serving Platform Experiences and ExtensionsA

More videos:

  • Review - Spark MLlib
  • Review - Announcement: LIVE on 26th July [ Spark SQL & MLLib ]

Dlib videos

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Face Recognition with Dlib in Python

More videos:

Category Popularity

0-100% (relative to MLlib and Dlib)

MLlib

Dlib

Data Science And Machine Learning
66 66%
Data Science And Machine Learning
34% 34
Data Science Tools
71 71%
Data Science Tools
29% 29
Python Tools
73 73%
Python Tools
27% 27
Software Libraries
100 100%
Software Libraries
0% 0

User comments

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Reviews

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

MLlib Reviews

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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

Social recommendations and mentions

Based on our record, Dlib should be more popular than MLlib. 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.

MLlib mentions (2)

  • Predicting Diabetes In Patients - Apache Spark Machine Learning - 4 Easy Steps To Do This!
    The MLlib library gives us a very wide range of available Machine Learning algorithms and additional tools for standardisation, tokenisation and many others (for more information visit the official website Apache Spark MLlib). (Apache Spark Machine Learning predicting diabetes in patients). Source: about 2 years ago
  • How to distribute ML tasks across CPU and GPU?
    Totally agree with the current responses, especially for the purposes of understanding exactly what's going on under the hood, but did want to just call out the fact that you can simply use a machine learning library that's implemented in a distributed way. Examples would be MLlib From Spark and h2o. H2O in particular will take care of pretty much everything for you in terms of initializing a cluster, and has a... Source: about 2 years ago

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
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What are some alternatives?

When comparing MLlib and Dlib, 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.

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

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

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

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

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