Machine Learning · alternatives
Alternatives to JMP
21 machine learning tools sit alongside JMP in this directory. Below is what separates each from JMP on the figures we hold, price, model, tier count and rating, and a direct comparison for every one.
- Alternatives listed
- 21
- With a free tier
- 17
- Cheaper to start
- 0
- JMP starts at
- Free
Why people look past JMP
Nothing on the record flags a reason to move. JMP has a free tier, and starts at Free against a category median of $17/month. People still switch over fit and workflow, and those are not things a catalogue entry can measure, which is what the comparisons below are for.
What each alternative does differently
Ordered by the aggregated rating on each catalogue entry. Differences are drawn from price, pricing model, tier count and rating, the fields the category listing carries. For a feature-level difference, follow the head-to-head link on each card: those pages read both full records.
Build, train, and deploy machine learning models at scale
- Starts $0.04 a hour dearer, at $0.04/hour.
Unified ML platform to build, deploy, and scale AI models
- No free tier, where JMP has one.
Microsoft's managed platform for training, tracking and deploying models on Azure
- Sold on a usage-based model rather than subscription.
Enterprise AI platform for automated machine learning
- No free tier, where JMP has one.
Open-source MLOps platform for experiment tracking and orchestration
- Sold on a Open-source self-hosted, with paid hosted and enterprise tiers model rather than subscription.
- 1 tier to JMP's 2.
LLM engineering platform for testing and evaluating AI agents in production
- Starts $29 a month dearer, at €29/month.
- Sold on a Tiered subscription with usage-based overage charges model rather than subscription.
- 3 tiers to JMP's 2.
Every JMP alternative at a glance
A dash means the catalogue entry carries no figure, not that the answer is nothing.
| Tool | Entry price | Model | Tiers | Head to head |
|---|---|---|---|---|
| JMP (this page) | Free | Subscription | 2 | |
| AWS SageMakerBuild, train, and deploy machine learning models at scale | Free, then $0.04/hour | - | - | vs JMP |
| Google Vertex AIUnified ML platform to build, deploy, and scale AI models | On request | - | - | vs JMP |
| Azure Machine LearningEnterprise-grade machine learning service | Free | Usage-based | 2 | vs JMP |
| DataRobotEnterprise AI platform for automated machine learning | Free | Subscription | 2 | vs JMP |
| ClearML | Free | Open-source self-hosted, with paid hosted and enterprise tiers | 1 | vs JMP |
| Langwatch | Free, then €29/month | Tiered subscription with usage-based overage charges | 3 | vs JMP |
| Haystack | Free | Open-source with optional paid enterprise support | 2 | vs JMP |
| Semantic Kernel | Free | Open source, no pricing | 1 | vs JMP |
| H2O.ai | Free | Freemium | 2 | vs JMP |
| Dask | Free | Open-source | 1 | vs JMP |
| IBM SPSS | Free, then $99/month | Subscription | 2 | vs JMP |
| Anaconda | Free, then $15/month | - | 3 | vs JMP |
| BentoML | Free | Freemium | 2 | vs JMP |
| Dataiku | Free | Freemium | 2 | vs JMP |
| Comet ML | Free, then $19/month | Freemium | 4 | vs JMP |
| Hugging Face | Free | - | - | vs JMP |
| BigQuery ML | Free | Usage-based | 2 | vs JMP |
| Domino Data Lab | Free | Subscription | 2 | vs JMP |
| DVC | Free | Open-source | 2 | vs JMP |
| Fal AI | $1.89/hour | Usage-based | 2 | vs JMP |
| Groq | On request | Quote | - | vs JMP |
Ratings are aggregated from third-party sources and imported with each catalogue entry; Softwr hosts no reviews of these products. How each figure is used is set out on the JMP badges page.
Cheaper ways to solve the same problem
Free to start (17)
These publish a tier that costs nothing, so they can be evaluated before any money changes hands.
- AWS SageMaker , Free, then $0.04/hour
- Azure Machine Learning , Free
- ClearML , Free
- Langwatch , Free, then €29/month
- Haystack , Free
- Semantic Kernel , Free
- H2O.ai , Free
- Dask , Free
What you would be giving up
JMP is most often brought in for planning a physical experiment where each run is expensive, and the question is which twelve runs to perform rather than how to model data you already have, process capability and control chart work in a manufacturing quality function that has to produce evidence for a customer or regulator, exploratory analysis by an engineer or scientist who will not write code but needs more than a spreadsheet, semiconductor, chemical and pharmaceutical development groups where jmp is already the shared language for reporting results. Anything replacing it has to cover the ones you actually depend on, and a cheaper tool that misses one of them is not cheaper.
Two things this page cannot settle. It compares on price, model, tier count and rating, because those are the fields the category listing carries, feature-level differences need both full records, which is what the head-to-head pages load. And the ratings are third-party aggregates imported with each entry rather than reviews written here, so a 0.2 difference between two tools is noise rather than a finding.
If JMP is broadly right and the question is cost, the JMP pricing breakdown covers every tier and what each one adds. If you want the whole field rather than a shortlist, the Machine Learning category lists everything the directory holds, and best machine learning tools ranks them.
JMP runs on mac, windows. Platform coverage is not carried on the category listing for the alternatives, so it is one more thing to check on each head-to-head page rather than here.
Questions about JMP alternatives
- What are the main alternatives to JMP?
- 21 other machine learning tools are listed in this directory, led by AWS SageMaker, Google Vertex AI, Azure Machine Learning, DataRobot. They are ordered by the aggregated rating on each catalogue entry, not by any Softwr ranking.
- What is the best free alternative to JMP?
- 17 of the alternatives listed here can be used without paying: AWS SageMaker, Azure Machine Learning, ClearML, Langwatch, Haystack.
- Is there a reason to switch away from JMP?
- Nothing in the data flags one. JMP has a free tier, and starts at Free against a category median of $17/month. Fit and workflow are the usual reasons to move, and those are not things this record can measure.
- What would I give up by switching from JMP?
- JMP is most often brought in for planning a physical experiment where each run is expensive, and the question is which twelve runs to perform rather than how to model data you already have, process capability and control chart work in a manufacturing quality function that has to produce evidence for a customer or regulator, exploratory analysis by an engineer or scientist who will not write code but needs more than a spreadsheet, semiconductor, chemical and pharmaceutical development groups where jmp is already the shared language for reporting results. Anything you replace it with has to cover the ones you actually rely on, the side-by-side comparisons linked from each alternative below put the two feature records against each other.
- Is there an open-source alternative to JMP?
- Dask, DVC are recorded with an open-source licence model.
- How were these JMP alternatives chosen?
- They are the tools filed in the same category, Machine Learning, ordered by the aggregated rating on each entry. There is no editorial shortlist, and nothing on this page is paid: no sponsored placement runs on alternatives pages and the order cannot be bought. Softwr has not used these products.
- Where can I compare JMP against one of these directly?
- Every alternative below has a side-by-side page against JMP covering price, platforms, features and what each one is used for. Those pages read the full record for both products rather than the summary shown here.
- Does this list cover every machine learning tool?
- No. It covers what this directory holds in the Machine Learning category, 21 tools beside JMP. The category page lists the rest of the catalogue as it grows.