Machine Learning & Data Science · ranked shortlist
Best Machine Learning & Data Science software for Students in 2026
20 approved machine learning & data science listings, ordered by published rating with the method stated below rather than assumed. Students want the $0 column. Anything on this page with a published free plan or an open-source licence is usable without a purchase decision at all.
- Tools ranked
- 20
- Entry price range
- $0.04-$5,195
- Publish a $0 plan
- 16 of 20
How this ranking is derived
The sort key
Published rating, highest first. Ties break on the number of ratings behind the score, then on product name so the order never depends on what the API happened to return first. That is the whole rule, there is no weighting, no score of our own, and nothing paid: no sponsored slot runs on these pages.
Where the ratings come from
No listing in this set carries a rating, so the order falls back to name. Those scores are aggregated from public sources rather than collected here, Softwr hosts no reviews of its own, which is also why no rating on this page is marked up as ours in structured data.
What the pool is
Approved machine learning & data science listings, capped at 20 per page; 20 came back for this one. It is not the whole market, and a tool being absent means we hold no record of it rather than that it failed a test. The unranked full set is on the machine learning & data science category page.
The ranking
Each entry lists why it sits where it sits, drawn from its own published rating and pricing.
- #1
Alteryx
Highest rated hereAnalytics automation platform
- No rating on record, so it ranks below everything that has one.
- Publishes a $0 plan, with paid tiers from $5,195 a month.
- Billing
- subscription
- Published tiers
- 2 tiers
- Tags
- analytics, data-prep, Enterprise, No-Code
- #2
Anaconda
The world's most popular data science platform
- No rating on record, so it ranks below everything that has one.
- Publishes a $0 plan, with paid tiers from $15 a month.
- 3 published tiers, topping out at $50.
- Billing
- Model not published
- Published tiers
- 3 tiers
- Tags
- data-science, Python, package-management, environment
- #3
AWS SageMaker
Build, train, and deploy machine learning models at scale
- No rating on record, so it ranks below everything that has one.
- Paid from $0.04 a month, with no free plan.
- Billing
- Model not published
- Tags
- ml, AWS, cloud, mlops
- #4
Azure Machine Learning
Enterprise-grade machine learning service
- No rating on record, so it ranks below everything that has one.
- Publishes a $0 plan, with paid tiers from $0.05 a month.
- Billing
- usage-based
- Published tiers
- 2 tiers
- Tags
- ml, azure, microsoft, cloud
- #5
BentoML
Build production-ready ML applications
- No rating on record, so it ranks below everything that has one.
- Free, no paid tier is published at all.
- Billing
- freemium
- Published tiers
- 2 tiers
- Tags
- mlops, model-serving, deployment, API
- #6
BigQuery ML
Machine learning in BigQuery using SQL
- No rating on record, so it ranks below everything that has one.
- Publishes a $0 plan, with paid tiers from $5 a month.
- Billing
- usage-based
- Published tiers
- 2 tiers
- Tags
- machine-learning, sql, Google Cloud, bigquery
- #7
Cohere
Enterprise AI platform for NLP
- No rating on record, so it ranks below everything that has one.
- Publishes a $0 plan, with paid tiers from $0.40 a month.
- Billing
- usage-based
- Published tiers
- 2 tiers
- Tags
- ai, API, cohere, Enterprise
- #8
Comet ML
Platform for tracking, comparing, and optimizing ML experiments
- No rating on record, so it ranks below everything that has one.
- Publishes a $0 plan, with paid tiers from $179 a month.
- Billing
- freemium
- Published tiers
- 2 tiers
- Tags
- mlops, experiment-tracking, model-management, monitoring
- #9
Dask
Scalable analytics in Python
- No rating on record, so it ranks below everything that has one.
- Free, no paid tier is published at all.
- Billing
- open-source
- Published tiers
- 1 tier
- Tags
- distributed, parallel-computing, big-data, pandas
- #10
Databricks
Unified analytics platform for data engineering and data science
- No rating on record, so it ranks below everything that has one.
- Publishes a $0 plan, with paid tiers from $0.07 a month.
- Billing
- usage-based
- Published tiers
- 2 tiers
- Tags
- analytics, data-lakehouse, spark, machine-learning
- #11
Dataiku
Everyday AI, Extraordinary People
- No rating on record, so it ranks below everything that has one.
- Free, no paid tier is published at all.
- Billing
- freemium
- Published tiers
- 2 tiers
- Tags
- data-science, Enterprise, collaboration, mlops
- #12
DataRobot
Enterprise AI platform for automated machine learning
- No rating on record, so it ranks below everything that has one.
- Free, no paid tier is published at all.
- Billing
- subscription
- Published tiers
- 2 tiers
- Tags
- ml, automl, Enterprise, mlops
- #13
Domino Data Lab
Enterprise MLOps platform
- No rating on record, so it ranks below everything that has one.
- Free, no paid tier is published at all.
- Billing
- subscription
- Published tiers
- 2 tiers
- Tags
- mlops, Enterprise, reproducibility, collaboration
- #14
DVC
Data version control for machine learning projects
- No rating on record, so it ranks below everything that has one.
- Free, no paid tier is published at all.
- Billing
- open-source
- Published tiers
- 2 tiers
- Tags
- mlops, data-versioning, git, pipelines
- #15
Google Vertex AI
Unified ML platform to build, deploy, and scale AI models
- No rating on record, so it ranks below everything that has one.
- Billing
- Model not published
- Tags
- ml, google, cloud, automl
- #16
Groq
Fast inference provider using proprietary LPU hardware for low-latency serving
- No rating on record, so it ranks below everything that has one.
- Billing
- quote
- #17
H2O.ai
AI Cloud for building and deploying AI applications
- No rating on record, so it ranks below everything that has one.
- Free, no paid tier is published at all.
- Billing
- freemium
- Published tiers
- 2 tiers
- Tags
- ml, automl, Open Source, Enterprise
- #18
Hugging Face
The AI community building the future
- No rating on record, so it ranks below everything that has one.
- Billing
- Model not published
- Tags
- ai, Open Source, hugging-face, models
- #19
IBM SPSS
Statistical analysis software for data science
- No rating on record, so it ranks below everything that has one.
- Publishes a $0 plan, with paid tiers from $99 a month.
- Billing
- subscription
- Published tiers
- 2 tiers
- Tags
- statistics, analytics, predictive, Enterprise
- #20
JMP
Statistical discovery software from SAS
- No rating on record, so it ranks below everything that has one.
- Publishes a $0 plan, with paid tiers from $1,785 a month.
- Billing
- subscription
- Published tiers
- 2 tiers
- Tags
- statistics, visualization, analytics, quality
What machine learning & data science software costs
Counted from the published pricing of the 20 listings on this page. A tool counts as free only where it publishes a $0 plan, an open-source licence or a starting price of zero.
- Cheapest paid plan
- $0.04AWS SageMaker
- Median entry price
- $10across 10 priced
- Dearest entry price
- $5,195Alteryx
- Publish a $0 plan
- 16of 20
Paid machine learning & data science plans in this set start anywhere from $0.04 a month for AWS SageMaker to $5,195 for Alteryx. The median entry price across the 10 tools that publish one is $10, half of them start below that figure and half above it.
16 of 20 publish a $0 plan, and 7 of those charge nothing at all. 1 tool has no free tier of any kind.
How these vendors bill
The billing model each of the 20 machine learning & data science listings publishes, counted. Two tools at the same headline price are not the same purchase if one of them charges per seat.
- subscription
- 5
- freemium
- 4
- usage-based
- 4
- open-source
- 2
- quote
- 1
What comes as standard, and what you pay extra for
Every capability named in a published pricing tier by any of the 16 machine learning & data science tools here that break their plans down, counted once per vendor. This measures what vendors choose to advertise as a selling point, not everything the software does, an absence below is silence, not a missing feature.
Named most often
- Full features , 4 of 16
- Full platform , 4 of 16
- Basic features , 3 of 16
- Community support , 3 of 16
- AutoML , 2 of 16
Named by fewer
- Enterprise support , 2 of 16
- MLOps , 2 of 16
- Priority support , 2 of 16
- SLA , 2 of 16
- Team collaboration , 2 of 16
Named by exactly one vendor: All compute options, Blending, Data versioning, Limited access, Monitoring, Single user. Those are differentiators rather than table stakes.
What “Machine Learning & Data Science” covers in practice
The subject tags that recur across these 20 listings, with the number of tools carrying each. A category label is a filing decision; this is the closer read of what is actually filed under it.
- mlops9
- Enterprise8
- analytics5
- ml5
- Open Source5
- cloud4
- automl3
- deployment3
- ai2
- API2
- collaboration2
- data-science2
Carried by a single tool: automation, bigquery, data-versioning, google, model-management, No-Code, predictive, sql. If one of those is the reason you are here, the category page is the wrong lens, go straight to that product.
How to choose between them
Four things the numbers above should change about your shortlist.
Start with the free tiers if there are enough of them
16 of 20 machine learning & data science tools here publish a $0 plan, which is enough to run a real trial without a purchase order. A free tier is worth more than a free trial when you are evaluating: a trial expires on the vendor's schedule, a free plan expires when you outgrow it. The thing to check before you commit is which of the capabilities below sit above the free line, starting with full features, the single most frequently named capability in this category's published tiers.
Read the spread before you read the features
$0.04 to $5,195 is a $5,194.96 spread on entry price alone, and a spread that wide is never about polish, it is about who the vendor built for. Tools at the bottom of this ladder are priced for one person or a small team; tools near $5,195 are priced for a department with a procurement process. Decide which of those you are before you compare capability, or you will shortlist four tools that were never competing for the same buyer.
Check which tier you actually land on
1 of 20 tools here publish three or more tiers, and the median vendor in this category ships 2 of them. The advertised price is the first rung, and the things teams tend to need, full features, full platform, basic features, are named in higher plans far more often than in entry ones. Price your shortlist at the tier that contains what you need, not at the tier on the pricing page's left edge.
The billing model matters more than the headline number
This category splits across 5 billing models: subscription on 5 listings, freemium on 4, and 3 other arrangements across the rest. A per-user price and a flat subscription at the same headline figure are not the same purchase, the first one grows with headcount and the second does not. Multiply by your real team size before you compare two numbers side by side.
Compare machine learning & data science tools directly
Every pairing below is a full comparison: the same checklist applied to both, so a gap in one is a gap in the other.
- Alteryx vs Anaconda
- Anaconda vs AWS SageMaker
- AWS SageMaker vs Azure Machine Learning
- Azure Machine Learning vs BentoML
- BentoML vs BigQuery ML
- BigQuery ML vs Cohere
- Cohere vs Comet ML
- Comet ML vs Dask
Go straight to the numbers
- Alteryxpricingalternatives
- Anacondapricingalternatives
- AWS SageMakerpricingalternatives
- Azure Machine Learningpricingalternatives
- BentoMLpricingalternatives
- BigQuery MLpricingalternatives
Questions people ask about machine learning & data science software
Answered from the listings on this page, and nowhere else.
- How is this machine learning & data science ranking decided?
- Mechanically. The 20 approved machine learning & data science listings on this page are sorted by their published rating, highest first, with the number of ratings behind each score as the tie-break and the product name as a final tie-break so the order is stable. Those ratings are aggregated from public sources, not collected from Softwr readers, this site hosts no reviews, so the order is a summary of what is already published elsewhere, not a verdict of our own. Nothing on this page is paid placement.
- Is this list re-ordered for students?
- No, and it would be dishonest to imply otherwise. The catalogue records no data about which team sizes or roles each tool suits, so the ranking is the same published-rating order as the unsegmented list. What the students framing changes is which of the figures below matter most. Students want the $0 column. Anything on this page with a published free plan or an open-source licence is usable without a purchase decision at all.
- How much does machine learning & data science software cost?
- Across the 20 machine learning & data science tools listed here, paid plans start between $0.04 and $5,195 a month, with a median entry price of $10. The most expensive single tier published in the category is $5,195 a month (Alteryx). 16 of 20 also publish a $0 plan.
- What is the cheapest machine learning & data science software?
- 7 of the 20 tools listed here cost nothing at all. Among the ones that charge, AWS SageMaker has the lowest published entry price at $0.04 a month. Cheapest and best value are different questions: check which tier the capability you need actually appears in before you compare starting prices.
- Is there free machine learning & data science software?
- Yes, 16 of 20 tools in this category publish a plan priced at $0. 7 of them are free outright, with no paid tier above. A tool is only counted as free here when it publishes a $0 plan, an open-source licence, or a starting price of zero, a free trial does not count.
- What features should machine learning & data science software have?
- Judging by what vendors put in their own published pricing tiers, the most frequently named capabilities in this category are full features (4 of 16 tools that publish plan detail), full platform (4) and basic features (3). Treat those as the category baseline. Anything named by only one vendor, such as all compute options or blending, is a differentiator rather than a standard, so it is worth deciding whether you need it before it narrows your shortlist to one.
- How is machine learning & data science software usually billed?
- subscription (5), freemium (4), usage-based (4), open-source (2), plus 1 less common arrangements, counted across the 20 listings on this page. The distinction that costs money is per-seat versus flat: a per-user plan at the same headline price scales with your headcount and a flat subscription does not.
- What does machine learning & data science software actually cover?
- The 20 tools on this page do not describe themselves the same way. The subject tags they carry most often are mlops (9), enterprise (8), analytics (5), ml (5), open source (5). That spread is the honest answer to what the category means in practice: it is not one product shape, and two tools filed under machine learning & data science may overlap on very little.
- How many pricing tiers do machine learning & data science tools offer?
- 16 of 20 tools here publish a plan breakdown, and the median one has 2 tiers. 1 of 20 publish three or more. More tiers is not generosity, it usually means the capability you are buying for sits two rungs above the advertised price, so price your shortlist at the tier that contains it.
- How many machine learning & data science tools are listed on Softwr?
- 20 approved machine learning & data science listings appear on this page, including Alteryx, Anaconda, AWS SageMaker, Azure Machine Learning. Each links to a full breakdown with its pricing tiers and plan detail, and the category can be filtered by price and sorted by rating above. You can also read the shortlist view at /best/machine-learning-data-science, which ranks the same set by published rating.
Keep reading
More on Machine Learning & Data Science
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