Best MLJAR AutoML Alternatives in 2026
The top MLJAR AutoML alternatives are SAS Viya, SAS Advanced Analytics and Azure Machine Learning: 15 predictive analytics software our editors would look at instead of MLJAR AutoML, in our ranking order.
MLJAR AutoML: A focused open-source AutoML package for explainable supervised tabular modeling. Where it falls short: designed for tabular supervised learning rather than time series.
Switching from MLJAR AutoML? For most predictive analytics software buyers the best MLJAR AutoML alternative is SAS Viya, built for governed enterprise analytics and decisioning. IBM Watson Studio has a free plan. KNIME Analytics Platform offers the most data connectors (300).
Why People Look for an MLJAR AutoML Alternative
- Designed for tabular supervised learning rather than time series
- Deployment mode is batch prediction
- Studio pricing is separate from the open-source Python package
- No forecasting workflows — 13 of the alternatives below have it
- No time-series modeling — 12 of the alternatives below have it
Quick Picks by What You Need
- Best overallSAS Viya9.4
Governed enterprise analytics and decisioning
Visit SAS Viya - Best free optionIBM Watson Studio8.9
Has a free plan
Visit IBM Watson Studio - Most data connectorsKNIME Analytics Platform8.4
300
Visit KNIME Analytics Platform - Best for forecasting workflowsSAS Viya9.4
Forecasting workflows (MLJAR AutoML: no)
Visit SAS Viya
All 15 MLJAR AutoML Alternatives, Ranked
Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.
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Best forGoverned enterprise analytics and decisioning
- Better than MLJAR AutoML:
- Forecasting workflows
- Time-series modeling
- Editor score 9.4 vs 7.2
A broad, governed analytics platform for operational predictive decisioning.
- Automated machine learning
- Time-series modeling
- Forecasting workflows
9.4/10★★★★★Visit SAS Viya -
Best forLarge-scale statistical forecasting programs
- Better than MLJAR AutoML:
- Forecasting workflows
- Time-series modeling
- Editor score 9.1 vs 7.2
A broad enterprise platform for forecasting, machine learning, and governed model deployment.
- Automated machine learning
- Time-series modeling
- Forecasting workflows
9.1/10★★★★★Visit SAS Viya -
Best forAzure users building managed ML pipelines
- Better than MLJAR AutoML:
- Forecasting workflows
- Time-series modeling
- Editor score 9.0 vs 7.2
A broad managed ML lifecycle service, particularly suited to teams already working in Azure.
- Automated machine learning
- Time-series modeling
- Forecasting workflows
9.0/10★★★★☆Visit Azure ML -
Best forAWS-centric no-code predictive modeling
- Better than MLJAR AutoML:
- Forecasting workflows
- Time-series modeling
- Editor score 9.0 vs 7.2
A capable no-code predictive modeling workspace for AWS-centered teams.
- Automated machine learning
- Time-series modeling
- Forecasting workflows
9.0/10★★★★☆Visit site -
Best forOrganizations scaling automated model operations
- Better than MLJAR AutoML:
- Forecasting workflows
- Time-series modeling
- Editor score 8.9 vs 7.2
A mature predictive AI platform for automated modeling, deployment, monitoring, and governance.
- Automated machine learning
- Time-series modeling
- Forecasting workflows
8.9/10★★★★☆Visit DataRobot -
Best forCollaborative cloud data-science teams
- Better than MLJAR AutoML:
- Forecasting workflows
- Time-series modeling
- Editor score 8.9 vs 7.2
A broad cloud data-science workspace with AutoAI, forecasting, deployment and governance.
- Automated machine learning
- Time-series modeling
- Forecasting workflows
8.9/10★★★★☆Visit site -
Best forAutomated modeling with strong interpretability
- Better than MLJAR AutoML:
- Forecasting workflows
- Time-series modeling
- Editor score 8.8 vs 7.2
Automated modeling with interpretability, forecasting, and deployment for technical teams.
- Automated machine learning
- Time-series modeling
- Forecasting workflows
8.8/10★★★★☆Visit H2O.ai -
Best forAlteryx users needing guided AutoML
- Better than MLJAR AutoML:
- Forecasting workflows
- Time-series modeling
- Editor score 8.7 vs 7.2
A focused AutoML choice for teams working in the Alteryx ecosystem.
- Automated machine learning
- Time-series modeling
- Forecasting workflows
8.7/10★★★★☆Visit Alteryx -
Best forFree open-source general-purpose machine learning
- Better than MLJAR AutoML:
- Editor score 8.6 vs 7.2
A flexible free platform for general-purpose machine learning across code, APIs, and browser workflows.
- Automated machine learning
- API access
- Model evaluation
8.6/10★★★★☆Visit H2O.ai -
Best forTeams wanting visual predictive analytics for free
- Better than MLJAR AutoML:
- Forecasting workflows
- Time-series modeling
- Editor score 8.5 vs 7.2
A free, visual predictive analytics workspace with AutoML, forecasting, and Python/R support.
- Automated machine learning
- Time-series modeling
- Forecasting workflows
8.5/10★★★★☆Try Altair AI Studio -
Best forFree visual analytics with broad connectivity
- Better than MLJAR AutoML:
- Forecasting workflows
- Time-series modeling
- Editor score 8.4 vs 7.2
A free, connected platform for visual predictive workflows, forecasting, and repeatable analytics.
- Time-series modeling
- Forecasting workflows
- API access
8.4/10★★★★☆Visit KNIME -
Best forCommercial teams combining forecasts and optimization
- Better than MLJAR AutoML:
- Forecasting workflows
- Time-series modeling
- Editor score 8.3 vs 7.2
A broad predictive AI platform for commercial, retail and manufacturing decisions.
- Time-series modeling
- Forecasting workflows
- API access
8.3/10★★★★☆Visit Peak -
Best forRetailers needing deep demand planning
- Better than MLJAR AutoML:
- Editor score 8.2 vs 7.2
A specialized choice for retailers that need granular, scenario-based demand planning.
8.2/10★★★★☆Visit RELEX -
Best forBusiness teams operationalizing recurring predictions
- Better than MLJAR AutoML:
- Forecasting workflows
- Editor score 8.1 vs 7.2
Automates recurring predictive workflows, with batch-oriented delivery and sales-led pricing.
- Automated machine learning
- Forecasting workflows
- API access
8.1/10★★★★☆Visit Pecan AI -
Best forGoverned enterprise model development and deployment
- Better than MLJAR AutoML:
- Forecasting workflows
- Time-series modeling
- Editor score 8.0 vs 7.2
A governed enterprise platform spanning model development, deployment, monitoring, and forecasting.
- Automated machine learning
- Time-series modeling
- Forecasting workflows
8.0/10★★★★☆Try Domino Data Lab
MLJAR AutoML Alternatives: Common Questions
What is the best alternative to MLJAR AutoML?
SAS Viya: #1 in our Predictive Analytics Software ranking, with an editor score of 9.4 out of 10. A broad, governed analytics platform for operational predictive decisioning.
Is there a free alternative to MLJAR AutoML?
Yes. IBM Watson Studio, H2O-3, Altair AI Studio and KNIME Analytics Platform have a free plan or a free tier.
Why do people look for MLJAR AutoML alternatives?
Designed for tabular supervised learning rather than time series; Deployment mode is batch prediction; Studio pricing is separate from the open-source Python package.
Which MLJAR AutoML alternative has the most data connectors?
KNIME Analytics Platform, with 300.
How do I switch from MLJAR AutoML?
Export your data from MLJAR AutoML (most tools have an export in their settings). Sign up for the alternative; start on its free plan or trial if it has one. Import your export and set up the integrations your team relies on. Run both side by side for a short while, then cancel MLJAR AutoML.
How to Switch from MLJAR AutoML
- Export your data from MLJAR AutoML (most tools have an export in their settings).
- Sign up for the alternative; start on its free plan or trial if it has one.
- Import your export and set up the integrations your team relies on.
- Run both side by side for a short while, then cancel MLJAR AutoML.
MLJAR AutoML vs Each Alternative
| # | Tool | Free plan | Paid from | Forecasting workflows | Model evaluation | Automated machine learning | Deployment mode | Time-series modeling | Score |
|---|---|---|---|---|---|---|---|---|---|
| 22 | MLJAR AutoML | Free | No | Yes | Yes | Batch | No | 7.2 | |
| 1 | SAS Viya | No | Yes | Yes | Yes | Batch_and_real-time | Yes | 9.4 | |
| 2 | SAS Advanced Analytics | Yes | Yes | Yes | Batch_and_real-time | Yes | 9.1 | ||
| 3 | Azure Machine Learning | No | Yes | Yes | Yes | Batch_and_real-time | Yes | 9.0 | |
| 4 | Amazon SageMaker Canvas | No | $1.90/unit usage-based | Yes | Yes | Yes | Batch_and_real-time | Yes | 9.0 |
| 5 | DataRobot | Yes | Yes | Yes | Batch_and_real-time | Yes | 8.9 | ||
| 6 | IBM Watson Studio | Yes | Yes | Yes | Yes | Batch_and_real-time | Yes | 8.9 | |
| 7 | H2O Driverless AI | No | Yes | Yes | Yes | Batch_and_real-time | Yes | 8.8 | |
| 8 | Alteryx Machine Learning | No | Yes | Yes | Yes | Batch | Yes | 8.7 | |
| 9 | H2O-3 | Yes | Free | Yes | Yes | 8.6 | |||
| 10 | Altair AI Studio | Yes | Yes | Yes | Yes | Batch_and_real-time | Yes | 8.5 | |
| 11 | KNIME Analytics Platform | Yes | Free | Yes | Yes | No | Batch_and_real-time | Yes | 8.4 |
| 12 | Peak | Yes | Yes | Real-time | Yes | 8.3 | |||
| 13 | RELEX Demand Planning | No | 8.2 | ||||||
| 14 | Pecan AI | Yes | Yes | Yes | Batch | 8.1 | |||
| 15 | Domino Data Lab | No | Yes | Yes | Yes | Real-time | Yes | 8.0 |
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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