# MLJAR Reviews **Vendor:** MLJAR **Category:** [MLOps Platforms](https://www.g2.com/categories/mlops-platforms) **Average Rating:** 4.4/5.0 **Total Reviews:** 16 ## About MLJAR Leader in creating Data Science Tools. MLJAR is an automated machine learning (AutoML) framework designed to make building and deploying machine learning models easier and more accessible. It offers tools to help users—whether they are data scientists, analysts, or non-technical individuals—create machine learning models without needing extensive programming skills, build data-powered apps, and analyze data. ! NEW ! Boost your machine learning power with MLJAR STUDIO - an innovative Python machine learning editor. MLJAR maintains open-source libraries such as: AutoML mljar-supervised Mercury Supertree... ## MLJAR Reviews ### 1. User experience and views on MLJAR **Rating:** 4.0/5.0 stars **Reviewed by:** Prince N. | Assistant systems engineer, Enterprise (> 1000 emp.) **Reviewed Date:** July 26, 2022 **What do you like best about 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. **What do you dislike about MLJAR?** I don't see disadvantages in the technology in my personal opinion but i believe a counter opinion exists of how using such technology might one day end up replacing existing ml data scientists. But if i have to point one out i would say during my work i have seen that inaccuracy is the biggest problem with current generation ML tools . **What problems is MLJAR solving and how is that benefiting you?** It enabled us creating better data pipelines for testing the new products being developed in the TCS ion incubation sector. Where we require high level ML accuracy. ### 2. MLJAR REVIEW **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.) **Reviewed Date:** July 28, 2022 **What do you like best about MLJAR?** 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. **What do you dislike about MLJAR?** The product has worked perfectly fine for us so far, nothing to dislike here in particular, however more packages to the product would be highly appreciable. **What problems is MLJAR solving and how is that benefiting you?** We integrate it with Jupiter notebook, and it saves efforts and time for us developers since it requires very less technical background to operate this. I have used it for multiple projects for several clients especially for forecasting and predictive analysis projects and we are very satisfied with the output/forecast results it provided. ### 3. Great and easy to understand an alternative to AutoML **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** July 26, 2022 **What do you like best about MLJAR?** 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. **What do you dislike about MLJAR?** My only dislike is that It only has supervised algorithms as the popularity of unsupervised learning algorithms is growing because most of the data is unsupervised. **What problems is MLJAR solving and how is that benefiting you?** I have tried MLJAR on Kaggle for a classification task in Santandar Customer Satisfaction it really got me better results than sklearn algorithms and my position jumped to much higher than sklearn and almost near H20. I am considering to use in my future projects and competitions as its a great way to improve without extra effort. ### 4. Best Automated Machine Learning Platform for rapid devlopment and deployment. **Rating:** 4.5/5.0 stars **Reviewed by:** Suraiya A. | Information Security Analyst, Enterprise (> 1000 emp.) **Reviewed Date:** August 13, 2022 **What do you like best about MLJAR?** MLJAR Supports a wide range of algorithms for classification along with support to a multitude of features for getting a better understanding of data through automated metric selection and feature engineering. **What do you dislike about MLJAR?** MLJAR is still evolving and needs to keep pace with new advances in the science of machine learning techniques and procedures so that the outcomes from its data processing are more intuitive and applicable. **What problems is MLJAR solving and how is that benefiting you?** Automated feature extraction and classification of data using inbuilt data models in MLJAR, thus saving time without getting involved in model deployment and feature extraction processes ### 5. MLJAR review **Rating:** 5.0/5.0 stars **Reviewed by:** Arvind S. | System Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** July 26, 2022 **What do you like best about MLJAR?** The best thing about this package is easily share notebook and it allows others to execute parameters notebook and easy to download executed notebook as HTML or PDF files **What do you dislike about MLJAR?** The thing i dislike the package is that the GUI of this . It can be more user friendly to use and help people to understand the machine learning. It's difficult to import in the python **What problems is MLJAR solving and how is that benefiting you?** The MLJAR is helping to automate the machine learning process. When i started the learning machine learning it helps me to automate the proce6to built the better codes ### 6. Went the extra mile **Rating:** 4.5/5.0 stars **Reviewed by:** Pooja K. | Cyber Security Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** August 06, 2022 **What do you like best about MLJAR?** The main advantage of MLJAR is producing markdown reports from models training. **What do you dislike about MLJAR?** The solution can quickly become complex and hard to visualize. It is hard to use version control systems because notebooks have code and output stored together in the notebook file. **What problems is MLJAR solving and how is that benefiting you?** Explainability of the models produced by the system is available and is stored in a local directory, the model output by MLJAR is doing a great job. ### 7. One of the best python package for machine learning **Rating:** 4.5/5.0 stars **Reviewed by:** ShriRam g. | Software Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** March 29, 2022 **What do you like best about MLJAR?** The best thing about MLJAR is that even the one having less or no programming background can even use it. It is easily sharebale and saves the development time of the developers. Also python notebooks can be converted to the the interactive web apps. **What do you dislike about MLJAR?** Although MLJAR is a good and lightweight software but it can have updates more quickly. The beginner to advanced path can be more simplified so that everyone adapts to their env quickly. **Recommendations to others considering MLJAR:** If you want to fast-track your development cycle , you can proceed ahead with this tool. **What problems is MLJAR solving and how is that benefiting you?** MLJAR helps to save the time of the developers.ML Algorithms can easily be integrated without knowing the deep intricasies of the language.There is extensive explanation and analysis for each algorithm. ### 8. MLJAR - Data Science tools **Rating:** 4.0/5.0 stars **Reviewed by:** Kuldeep S. | IT Analyst, Enterprise (> 1000 emp.) **Reviewed Date:** July 29, 2022 **What do you like best about MLJAR?** easy to write code - a graphical interface for code generation, easy to reuse code as an application or scheduled task, easy to control version, easy to build applications with GUI, easy to test. **What do you dislike about MLJAR?** Couldn't figure out any dislike about it. **What problems is MLJAR solving and how is that benefiting you?** no-code graphical interface desktop application saves you from Python installation and proper packages version resulting in increased performance. ### 9. MLJAR Review **Rating:** 2.5/5.0 stars **Reviewed by:** Shivam G. | Technical Consultant, Enterprise (> 1000 emp.) **Reviewed Date:** April 01, 2022 **What do you like best about MLJAR?** One of the cases which I like is providing notebook parameters in YAML form. I never experienced this in any other product. Another one is scheduling a notebook execution. **What do you dislike about MLJAR?** I am not satisfied with the user experience personally. I have used several platforms with ML integration which are far better. User experience needs some improvement. **Recommendations to others considering MLJAR:** I can recommend MLJAR to someone accustomed to YAML and scheduling notebook execution. **What problems is MLJAR solving and how is that benefiting you?** I tried to solve problems related to Real Estate where I prepare models after extracting data and scheduling notebook execution. I think in some way due to scheduling performance increased. ### 10. Senior Associate **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Computer & Network Security | Small-Business (50 or fewer emp.) **Reviewed Date:** April 01, 2022 **What do you like best about MLJAR?** -It saves time due to a readymade package. Frankly speaking, it saves around 25% of time. -Helps a lot in developing new module -Easy to installation **What do you dislike about MLJAR?** There is nothing I dislike about it. The only suggestion i can provide like More packages needs to be added for the popular product as well. **What problems is MLJAR solving and how is that benefiting you?** We were developing a module a create a centralized log repository and extract meaning data and loading that data into a DB table. It uses helps us in achieving it quickly. ### 11. Best platform for all your ML needs **Rating:** 5.0/5.0 stars **Reviewed by:** Shrikant P. | S, Enterprise (> 1000 emp.) **Reviewed Date:** April 18, 2022 **What do you like best about MLJAR?** It is very easy to train model accross multiple algorithm and it will save time for sure. **What do you dislike about MLJAR?** Nothing to dislike makes my job easier . **What problems is MLJAR solving and how is that benefiting you?** Trained a few models for personal and professional work. ### 12. MLJAR python package **Rating:** 5.0/5.0 stars **Reviewed by:** Sonali A. | Senior Data Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** April 01, 2022 **What do you like best about MLJAR?** It is very time saving and provides accurate results **What do you dislike about MLJAR?** It is slower when compared to other similar services available **What problems is MLJAR solving and how is that benefiting you?** We are using this to perform predictive analysis for different challenges and this proves to be extremely accurate ### 13. Easiest package tool for PYTHON BASED ML **Rating:** 5.0/5.0 stars **Reviewed by:** Mukul T. | Founder, Small-Business (50 or fewer emp.) **Reviewed Date:** March 30, 2022 **What do you like best about MLJAR?** The way that auto ML works by managing data in tabular forms which improves efficiency in available hardware configurations **What do you dislike about MLJAR?** It needs some better processing power i.e. Better hardware **What problems is MLJAR solving and how is that benefiting you?** I am using this for weather and soil analysis ### 14. MLJAR - blessings for Data Science **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer & Network Security | Enterprise (> 1000 emp.) **Reviewed Date:** March 29, 2022 **What do you like best about MLJAR?** Machine learning on tabular data is awesome. Helps to learn and analyze various data structural aspects as well with varity of easy learning features. **What do you dislike about MLJAR?** Nothing as such that is considered as dislikable part as MLJAR is concern. **Recommendations to others considering MLJAR:** Must have a glance with great experience of MLJAR **What problems is MLJAR solving and how is that benefiting you?** Focusing on loading, saving, re- running aspects to increase its efficiency and reliablity.Its built-in model is excellent : explain-perform-compete-optuna. ### 15. MLJAR Review **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Pharmaceuticals | Small-Business (50 or fewer emp.) **Reviewed Date:** December 29, 2021 **What do you like best about MLJAR?** MLJAR is the best in the industry for creating no code ML scripts and notebooks. Its integration with Jupyter notebook is also very efficient. **What do you dislike about MLJAR?** The ability to switch between beginner and professional mode to adapt to some heavy tweaking could further be improved. It is definitely a novel approach and looking forward to more developments. **What problems is MLJAR solving and how is that benefiting you?** The biggest benefit is when you are aware of the concepts but cant seem to remember all the syntax and intricacies of the language, MLJAR provides the best solution and ease of access there and saves alot of time there. ### 16. MLJAR for ML on Tabular data **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** March 31, 2022 **What do you like best about MLJAR?** How it can ease up the process of machine learning on a tabular data **What do you dislike about MLJAR?** It could be more efficient if it had inbuilt support of execution like numba **Recommendations to others considering MLJAR:** Try it once you'll like it **What problems is MLJAR solving and how is that benefiting you?** Training our data that are in Relational databases ## MLJAR Discussions - [What is MLJAR used for?](https://www.g2.com/discussions/what-is-mljar-used-for) - [View MLJAR pricing details and edition comparison](https://www.g2.com/products/mljar/reviews?section=pricing&secure%5Bexpires_at%5D=2026-05-20+09%3A03%3A47+-0500&secure%5Bsession_id%5D=8b45c7cc-6c0e-4bfe-9c20-f8b0b2d66b39&secure%5Btoken%5D=d36cd9cd842501e8ba98ce9f390f75b6098ee9bba71d70f3fe774ef90585988e&format=llm_user) ## MLJAR Features **Deployment** - Language Flexibility - Framework Flexibility - Versioning - Ease of Deployment - Scalability **Deployment** - Language Flexibility - Framework Flexibility - Versioning - Ease of Deployment - Scalability **Management** - Cataloging - Monitoring - Governing - Model Registry **Operations** - Metrics - Infrastructure management - Collaboration **Management** - Cataloging - Monitoring - Governing **Generative AI** - AI Text Generation - AI Text Summarization ## Top MLJAR Alternatives - [Databricks](https://www.g2.com/products/databricks/reviews) - 4.6/5.0 (746 reviews) - [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) - 4.3/5.0 (754 reviews) - [Snowflake](https://www.g2.com/products/snowflake/reviews) - 4.6/5.0 (687 reviews)