
The directory
Machine Learning software
32 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 32


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

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



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


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


Jupyter
Interactive computing across all programming languages
Free- Web
- Linux
- macOS
- +1
2 alternatives · 3 questions answered

Langwatch
LLM engineering platform for testing and evaluating AI agents in production
Free plan, then €29/mo- Web
- Self-hosted
3 alternatives · 3 questions answered

Milvus
Open-source vector database for scalable similarity search
Free plan available- Linux
- macOS
- Windows
- +1
4 alternatives · 3 questions answered

Minitab
Statistical software for quality engineering, and the tool Six Sigma training is written around
From $2,394/yr- macOS
- Windows
- Web
4 alternatives · 5 questions answered

Mistral AI
European AI lab with open models, API platform and Le Chat assistant
Pricing not published- Web
- API
- Self-hosted
4 alternatives · 3 questions answered

MLflow
Open source platform for managing the ML lifecycle
Free- Web
- API
4 alternatives · 5 questions answered

Neptune.ai
Metadata store for MLOps
Free plan, then $49/mo- Web
- Self-hosted
3 alternatives · 4 questions answered
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
- 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
- AWS SageMaker vs BigQuery ML
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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.
