Machine Learning · ranked shortlist
Best Machine Learning software for Startups in 2026
20 approved machine learning listings, ordered by published rating with the method stated below rather than assumed. Startups are buying for a headcount they do not have yet, which makes the second and third tier of each ladder more important than the first. Check what the price becomes at ten people.
- Tools ranked
- 20
- Entry price range
- $0.05-$1,785
- Publish a $0 plan
- 17 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 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 category page.
The ranking
Each entry lists why it sits where it sits, drawn from its own published rating and pricing.
- #1
Anaconda
Highest rated hereThe 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
- #2
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
- #3
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
- #4
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
- #5
ClearML
Open-source MLOps platform for experiment tracking and orchestration
- No rating on record, so it ranks below everything that has one.
- Free, no paid tier is published at all.
- Billing
- Open-source self-hosted, with paid hosted and enterprise tiers
- Published tiers
- 1 tier
- Tags
- mlops, machine-learning, Open Source, experiment-tracking
- #6
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 $19 a month.
- Billing
- freemium
- Published tiers
- 4 tiers
- Tags
- mlops, experiment-tracking, model-management, monitoring
- #7
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
- #8
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
- #9
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
- #10
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
- #11
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
- #12
Fal AI
Generative media inference platform for developers
- No rating on record, so it ranks below everything that has one.
- Paid from $1.89 a month, with no free plan.
- Its top tier is unpriced and sold by quote.
- Billing
- usage-based
- Published tiers
- 2 tiers
- Tags
- ai, inference, generative, gpu
- #13
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
- #14
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
- #15
Haystack
Open-source AI orchestration framework for LLM applications
- No rating on record, so it ranks below everything that has one.
- Free, no paid tier is published at all.
- Its top tier is unpriced and sold by quote.
- Billing
- Open-source with optional paid enterprise support
- Published tiers
- 2 tiers
- Tags
- Ai Framework, llm, orchestration, Open Source
- #16
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
- #17
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
- #18
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
- #19
Langwatch
LLM engineering platform for testing and evaluating AI agents in production
- No rating on record, so it ranks below everything that has one.
- Publishes a $0 plan, with paid tiers from $29 a month.
- Its top tier is unpriced and sold by quote.
- Billing
- Tiered subscription with usage-based overage charges
- Published tiers
- 3 tiers
- Tags
- Llm Testing, observability, Ai Agents, Evaluation
- #20
Semantic Kernel
Model-agnostic SDK for AI orchestration
- No rating on record, so it ranks below everything that has one.
- Free, no paid tier is published at all.
- Billing
- Open source, no pricing
- Published tiers
- 1 tier
- Tags
- ai, agents, llm, framework
What machine learning 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
- $0.05Azure Machine Learning
- Median entry price
- $17across 8 priced
- Dearest entry price
- $1,785JMP
- Publish a $0 plan
- 17of 20
Paid machine learning plans in this set start anywhere from $0.05 a month for Azure Machine Learning to $1,785 for JMP. The median entry price across the 8 tools that publish one is $17, half of them start below that figure and half above it.
17 of 20 publish a $0 plan, and 10 of those charge nothing at all. 1 tool has no free tier of any kind.
3 of 20 keep at least one tier unpriced and sold by quote, which in practice means the number you end up paying at the top end is not on this page or on theirs.
How these vendors bill
The billing model each of the 20 machine learning listings publishes, counted. Two tools at the same headline price are not the same purchase if one of them charges per seat.
- freemium
- 4
- subscription
- 4
- usage-based
- 3
- open-source
- 2
- Open source, no pricing
- 1
- Open-source self-hosted, with paid hosted and enterprise tiers
- 1
- Open-source with optional paid enterprise support
- 1
- quote
- 1
- Tiered subscription with usage-based overage charges
- 1
Separately, 3 of 20 publish at least one tier with no price attached. Those are sold by quote, so the top of the ladder is negotiable, and unknowable, until you talk to sales.
What comes as standard, and what you pay extra for
Every capability named in a published pricing tier by any of the 18 machine learning 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 platform , 4 of 18
- Community support , 3 of 18
- Experiment tracking , 3 of 18
- Full features , 3 of 18
- AutoML , 2 of 18
Named by fewer
- Basic features , 2 of 18
- Enterprise support , 2 of 18
- Full framework access , 2 of 18
- MLOps , 2 of 18
Named by exactly one vendor: Access to 1000+ models, Centralized access management, Data management, Limited access, Monitoring, Self-hosted server. Those are differentiators rather than table stakes.
What “Machine Learning” 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.
- mlops8
- Open Source8
- Enterprise6
- ai3
- analytics3
- data-science3
- ml3
- API2
- automl2
- collaboration2
- deployment2
- distributed2
Carried by a single tool: agents, bigquery, environment, Google Cloud, Llm Testing, observability, pipelines, rag. 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
17 of 20 machine learning 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 platform, the single most frequently named capability in this category's published tiers.
Read the spread before you read the features
$0.05 to $1,785 is a $1,784.95 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 $1,785 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
3 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 platform, community support, experiment tracking, 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 9 billing models: freemium on 4 listings, subscription on 4, and 7 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 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.
- Anaconda vs Azure Machine Learning
- Azure Machine Learning vs BentoML
- BentoML vs BigQuery ML
- BigQuery ML vs ClearML
- ClearML vs Comet ML
- Comet ML vs Dask
- Dask vs Dataiku
- Dataiku vs DataRobot
Go straight to the numbers
- Anacondapricingalternatives
- Azure Machine Learningpricingalternatives
- BentoMLpricingalternatives
- BigQuery MLpricingalternatives
- ClearMLpricingalternatives
- Comet MLpricingalternatives
Questions people ask about machine learning software
Answered from the listings on this page, and nowhere else.
- How is this machine learning ranking decided?
- Mechanically. The 20 approved machine learning 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 startups?
- 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 startups framing changes is which of the figures below matter most. Startups are buying for a headcount they do not have yet, which makes the second and third tier of each ladder more important than the first. Check what the price becomes at ten people.
- How much does machine learning software cost?
- Across the 20 machine learning tools listed here, paid plans start between $0.05 and $1,785 a month, with a median entry price of $17. The most expensive single tier published in the category is $1,785 a month (JMP). 17 of 20 also publish a $0 plan.
- What is the cheapest machine learning software?
- 10 of the 20 tools listed here cost nothing at all. Among the ones that charge, Azure Machine Learning has the lowest published entry price at $0.05 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 software?
- Yes, 17 of 20 tools in this category publish a plan priced at $0. 10 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 software have?
- Judging by what vendors put in their own published pricing tiers, the most frequently named capabilities in this category are full platform (4 of 18 tools that publish plan detail), community support (3) and experiment tracking (3). Treat those as the category baseline. Anything named by only one vendor, such as access to 1000+ models or centralized access management, 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 software usually billed?
- freemium (4), subscription (4), usage-based (3), open-source (2), plus 5 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. 3 of 20 tools also keep at least one tier unpriced and sold by quote.
- What does machine learning 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 (8), open source (8), enterprise (6), ai (3), analytics (3). 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 may overlap on very little.
- How many pricing tiers do machine learning tools offer?
- 18 of 20 tools here publish a plan breakdown, and the median one has 2 tiers. 3 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 tools are listed on Softwr?
- 20 approved machine learning listings appear on this page, including Anaconda, Azure Machine Learning, BentoML, BigQuery ML. 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, which ranks the same set by published rating.
Keep reading
More on Machine Learning
Neighbouring categories
Adjacent in the same taxonomy, not a ranking.