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SigOpt VS MLJAR

Compare SigOpt VS MLJAR and see what are their differences

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SigOpt logo SigOpt

Optimize Everything. Tune your experiments automatically to get better results, faster. A/B testing.

MLJAR logo MLJAR

MLJAR is a predictive analytics platform that facilitates machine learning algorithms search and tuning.
  • SigOpt Landing page
    Landing page //
    2023-04-09
  • MLJAR Landing page
    Landing page //
    2023-06-14

Category Popularity

0-100% (relative to SigOpt and MLJAR)

SigOpt

MLJAR

Data Science And Machine Learning
83 83%
Data Science And Machine Learning
17% 17
Data Science Tools
85 85%
Data Science Tools
15% 15
Python Tools
100 100%
Python Tools
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100

User comments

Share your experience with using SigOpt and MLJAR. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, MLJAR seems to be more popular. It has been mentiond 3 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.

SigOpt mentions (0)

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

MLJAR mentions (3)

  • [P] Build data web apps in Jupyter Notebook with Python only
    Sure, at the bottom of our website you can subscribe for newsletter. Source: about 1 year ago
  • Data Science and full-stack-web development
    In my case, I had experience in DS and software engineering. It gives me ability to start a company that works on Data Science tools. Source: about 2 years ago
  • [D] Bring your own data AI SaaS service for non-programmers?
    Instead, we started to work on desktop application that will allow to create python notebooks with no-code GUI (https://github.com/mljar/studio some screenshots on our website ). Source: over 2 years ago

What are some alternatives?

When comparing SigOpt and MLJAR, 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.

Google Cloud Machine Learning - Google Cloud Machine Learning is a service that enables user to easily build machine learning models, that work on any type of data, of any size.

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

Amazon Machine Learning - Machine learning made easy for developers of any skill level

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

Teachable Machine - Easily create machine learning models for your apps, no coding required.

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