
The directory
Machine Learning software
60 products matching your filters. Each one described on the same fields, so two tools can be read against each other rather than against their own marketing.
Showing 1–24 of 60


Amazon Redshift ML
SQL statements in Redshift that train models on SageMaker and return them as functions
Free- Web
4 alternatives · 5 questions answered

Anaconda
The world's most popular data science platform
Free plan, then $15/mo- Windows
- macOS
- Linux
- +1
4 alternatives · 5 questions answered

Apache Spark MLlib
The machine learning library inside Apache Spark, for data that will not fit on one machine
Free- Linux
- macOS
- Windows
4 alternatives · 5 questions answered

AWS SageMaker
Build, train, and deploy machine learning models at scale
Free plan, then $0.04/hour- Web
3 alternatives · 3 questions answered

Azure Machine Learning
Microsoft's managed platform for training, tracking and deploying models on Azure
Free- Web
3 alternatives · 5 questions answered

BentoML
Open source Python framework that packages models into deployable inference services
Free plan available- Linux
- macOS
- Windows
4 alternatives · 5 questions answered


ClearML
Open-source MLOps platform for experiment tracking and orchestration
Free- Linux
- macOS
- Windows
- +1
1 alternative · 3 questions answered


Comet ML
Platform for tracking, comparing, and optimizing ML experiments
Free plan, then $19/mo- Web
- Linux
- macOS
- +1
4 alternatives · 4 questions answered


Databricks
Unified analytics platform for data engineering and data science
Free- Web
4 alternatives · 4 questions answered

Dataiku
Browser-based platform where visual data preparation and written code share one pipeline
Free plan available- Linux
- macOS
- Windows
- +1
4 alternatives · 5 questions answered

DataRobot
Enterprise AI platform for automated machine learning
Pricing not published- Web
3 alternatives · 4 questions answered


DVC
Git-style versioning for data sets and models, with the files kept in object storage
Free- Linux
- macOS
- Windows
4 alternatives · 5 questions answered

Fal AI
Generative media inference platform for developers
From $1.89/hour- API
3 alternatives · 4 questions answered

Google Vertex AI
Unified ML platform to build, deploy, and scale AI models
Pricing not published- Web
3 alternatives · 4 questions answered

Groq
Fast inference provider using proprietary LPU hardware for low-latency serving
Pricing on request- API
- Web
4 alternatives · 2 questions answered

H2O.ai
AI Cloud for building and deploying AI applications
Free plan available- Web
3 alternatives · 2 questions answered

Haystack
Open-source AI orchestration framework for LLM applications
Free- API
- Web
3 alternatives · 3 questions answered


IBM SPSS
Statistical analysis software for data science
Free plan, then $99/mo- Linux
- macOS
- Windows
4 alternatives · 5 limitations documented
Head to head
Machine Learning tools, compared
Pairings from this slice of the directory, each one checked by two reviewers who agreed a buyer would weigh the two against each other.
- Alteryx vs AWS SageMaker
- Alteryx vs Google Vertex AI
- Alteryx vs Azure Machine Learning
- Alteryx vs DataRobot
- Anaconda vs Jupyter
- Anaconda vs Dataiku
- Anaconda vs KNIME
- AWS SageMaker vs Azure Machine Learning
- AWS SageMaker vs Google Vertex AI
- AWS SageMaker vs DataRobot
- Azure Machine Learning vs Google Vertex AI
- Azure Machine Learning vs DataRobot
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How this works
What you are looking at
Where does this data come from?
Pricing, platforms and feature lists are taken from each vendor's own pages. Limitations, answered questions and alternatives are researched separately and carry a source URL on the page that states them. Every product is described on the same fields, so two tools can be read against each other rather than against their own marketing.
Why are there no star ratings?
Because we did not collect any. Softwr hosts no reviews, and a rating aggregated from somewhere else is not ours to publish as though it were an assessment we made. What is shown instead is what a tool costs, where it runs, and what it is concretely bad at.
How are alternatives chosen?
A researcher proposes them, then two independent reviewers judge one question each: would a buyer evaluating this product seriously consider that one instead. 225 of 1,841 candidates failed and were deleted, including a font inspector matched to a dark mode extension. Only pairings that survived both rounds are published.
Do vendors pay to appear here?
Not to be listed. A vendor can buy a place in the results on the home page, on a category listing or on the catalogue, and where they do the result carries a Sponsored label. Everything not carrying that label is ordered on the same criteria as everything else, and a paid place never changes where an unpaid one lands: the editorial order flows around it. Where a link earns a commission that is disclosed on the page carrying it.
How current is it?
Prices and plan limits move without notice, so treat anything with a number on it as a starting point and check the vendor before you buy. Where a claim could go stale it carries the source it came from, which is the fastest way to tell.
Other ways to narrow it down
- Browse by categoryEvery category, and what sits in each one.
- Head to headTwo tools on the same fields, with a straight answer.
- Best ofA shortlist per category, and why each one made it.
- AlternativesWhat people move to, and what they give up doing it.
- Pricing, in fullWhat each tier actually costs, tier by tier.
Something missing here?
Anyone can submit a tool. A person reads every submission, checks the pricing against the vendor’s own page, and nothing is published until it passes.
