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MLJAR

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16 reviews
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Average star rating
4.4
Serving customers since
2016
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MLJAR Reviews

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Verified User in Computer Software
UC
Verified User in Computer Software
07/28/2022
Validated Reviewer
Review source: G2 invite
Incentivized Review

MLJAR REVIEW

MLJAR is one of the best python packages I have used so far for machine learning. The software is easy to install and very useful for developing new modules. Training the model on multiple algorithms is easy really on it, and the output is usually accurate and it hence saves tons of time in training and rerunning the model with different datasets in case of error.
Verified User in Computer Software
UC
Verified User in Computer Software
07/26/2022
Validated Reviewer
Review source: G2 invite
Incentivized Review

Great and easy to understand an alternative to AutoML

The AutoML feature is very easy to use and has similar syntax as sklearn module and report after it explained very nicely. Although I am new to AutML I have used H2O but this is much easier as it has much simpler syntax and the results are better than sklearn and slighly better than H20.
Prince N.
PN
Prince N.
FinOps Intern at Arcesium (D.E. Shaw Group) || PGDM at IMI New Delhi || Ex - TCS
07/26/2022
Validated Reviewer
Review source: G2 invite
Incentivized Review

User experience and views on MLJAR

The time saved by using automatic ML application and the ability of model stacking to build more accurate Ml systems.it acts as an enhancement for existing data scientists.

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HQ Location:
Łapy, PL

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@MLJARofficial

Simple Data Science with Python, No-Code, and AI

MLJAR Studio is a desktop application for data science that combines Python, no-code tools, and AI in a single environment. It allows users to load data, explore it, build machine learning models with AutoML, and create reports without complex setup or configuration. The platform is designed to simplify the entire data workflow — from raw data to insights — making it accessible for both beginners and experienced users. MLJAR Studio includes a built-in AI agent that assists with code generation, data analysis, and workflow automation directly inside notebooks. Key features: - Desktop app with no setup required - Python and no-code interface in one tool - Built-in AutoML for fast model training - AI agent for code and data analysis - Interactive reports and visualizations MLJAR Studio focuses on usability, speed, and reducing the complexity of working with data.

Details

Year Founded
2016
Ownership
Private
Website
www.mljar.com