Orange Data Mining Alternatives, Desktop and Online

Orange is a free, open source tool from the University of Ljubljana for visual data mining and machine learning. You drag widgets onto a canvas, connect them and watch charts and models update. It is alive. The download page offers version 3.40.0 as a Windows installer or portable zip, separate Mac builds for Apple Silicon and Intel, and conda and pip packages. PyPI dates that release to December 20, 2025 and lists the licence as GPL v3 or later.

Many people search for "Orange data mining online". There is no web version. The download page lists only desktop builds, so you need a local install, or a different tool that runs in a browser. The list below marks which picks do.

Others outgrow Orange because they need scheduled jobs, bigger data, team sharing or a vendor contract. Each of the six tools below covers one of those cases, starting with the closest like-for-like replacement.

Prices below are as of November 6, 2026. Our method is on How we review tools.

Quick comparison

KNIME

KNIME Analytics Platform works on the same principle as Orange: nodes on a canvas, each doing one step, wired into a workflow. The Pro plan page calls it "a free, open-source desktop application". Its node library goes deeper into data preparation, database connectors, text processing and Python or R scripting than Orange's widgets do.

The paid side runs your workflows in KNIME's cloud. Pro costs €19 a month and includes 120 credits and 500 interactions with K-AI, KNIME's assistant. Workflows can run on a schedule every minute, hour, week, month or year, which Orange cannot do on its own.

Best for: An Orange user whose one-off analyses need to become repeatable, scheduled jobs.

Pricing:

• KNIME Analytics Platform: free and open source
• Pro: €19 per month with 120 credits and 500 K-AI interactions; extra credits €0.025 each
• Team plan and Business Hub: priced by capacity through a contact form, with no per-seat licensing

Watch out for:

• Credits run out fast. The smallest executor uses 1 credit per minute, so Pro's 120 included credits cover about two hours of the XS size, per the Pro plan page.
• Business Hub prices are not published; the pricing page sends you to sales.

Official site: KNIME.

JASP

Students often meet Orange in a statistics or social science course. For them, JASP may be the better fit. It is a free point-and-click statistics package with classical and Bayesian tests, and results update in an output panel as you tick options, much like Orange's live widgets.

Version 0.99.0 came out on October 21, 2026 and added JASP AI. Builds exist for Windows, macOS and Linux through Flatpak. The licence is AGPL v3, which the project says guarantees it stays free.

Best for: Students and researchers who mostly run statistical tests and want publication-ready tables.

Pricing:

• Free and open source under AGPL v3

Watch out for:

• It is a statistics tool first. There is no canvas for chaining preprocessing steps into a reusable workflow, the core of how Orange works.
• On Linux it is distributed only as a Flatpak, per the download page.

Official site: JASP.

Weka

Weka comes from the University of Waikato in New Zealand and is the classic teaching tool for machine learning algorithms. Its Explorer lets you load a dataset and try dozens of classifiers, clusterers and attribute selectors, and its Knowledge Flow view gives a node canvas like Orange's.

The download page lists 3.8.7 as the latest stable version and 3.9.7 as the development branch. Installers cover Intel and ARM on Windows, macOS and Linux, and each bundles Bellsoft's OpenJDK 25, so you do not need to install Java first.

Best for: Courses and research that need many algorithms side by side with no cost.

Pricing:

• Free and open source (GNU GPL)

Watch out for:

• The 3.9 development branch "may receive new features that break backwards compatibility", the download page warns, so stick to 3.8 for coursework.
• The interface is older and less visual than Orange's. Charts are basic, and interactive exploration takes more clicks.

Official site: Weka.

RapidMiner AI Studio

RapidMiner has changed owners twice. Altair bought it, renamed the desktop tool Altair AI Studio, and then Siemens took over Altair. The old altair.com page now redirects to Siemens, which calls the product RapidMiner AI Studio and says it is "now part of Intelligence Center x".

The tool itself is still a drag-and-drop canvas for building models without code, with Python and R steps and notebooks for data scientists. Siemens says it can be deployed on any major cloud, on premises or in a hybrid setup, at workgroup or enterprise level.

Best for: A company that wants Orange-style visual modeling with an enterprise vendor behind it.

Pricing:

• No public price on the Siemens product page; contact sales

Watch out for:

• Getting the software is harder than it used to be. In an Altair community thread, a user says the download link "always redirects to this website where you can not download anything".
• The product page mentions no free edition or trial, so it is a poor fit for students who used Orange for free.

Official site: RapidMiner AI Studio.

Dataiku

Dataiku is a browser-based data science platform where analysts build visual "flows" and coders add Python, R or SQL in the same project. It answers the "online" half of the Orange search. The get-started page offers a 14-day trial on a managed Dataiku Cloud instance with no credit card.

The trial space includes an API node with one API service, 4 CPUs and 32GiB of elastic compute. Teams that want to run it themselves can install the Free Edition on Mac, Linux or Windows.

Best for: A business analytics team that wants shared visual projects in a browser.

Pricing:

• Dataiku Cloud: 14-day free trial; support can extend it
• Free Edition: self-installed, for on-premise use
• Paid plans: no prices on the get-started page; contact sales

Watch out for:

• The Windows Free Edition is "available as an experimental version", per the get-started page; Mac and Linux are the supported installs.
• With no published prices, a small team cannot tell what the platform will cost after the trial.

Official site: Dataiku.

Azure Machine Learning designer

Microsoft describes the designer as "a drag-and-drop interface for building machine learning pipelines" inside an Azure Machine Learning workspace, per Microsoft Learn. You connect data assets and components, save drafts, submit them as jobs and clone past runs, all in a browser.

The service has no fee of its own. The pricing page says you pay only for compute and other services such as storage. Its own example bills a DS14 v2 virtual machine at $1.196 per hour.

Best for: A team already on Azure that wants a visual pipeline builder online.

Pricing:

• Azure Machine Learning: no additional charge
• Compute, storage and registry billed separately; the FAQ example uses $1.196 per hour per DS14 v2 VM
• New Azure accounts: $200 credit for 30 days

Watch out for:

• No new classic prebuilt components are being added, and classic components cannot mix with custom v2 components in one pipeline, per Microsoft Learn.
• Costs depend on compute left running, which is easy to forget after a class or a test.

Official site: Azure Machine Learning designer.

How to choose

When to stay with Orange Data Mining

Stay with Orange if you teach, learn or explore small and medium datasets on your own machine. It is free under the GPL, runs on Windows from a portable zip with no installation, and has native builds for both Apple Silicon and Intel Macs. Its interactive charts are still the friendliest way to show a class how a model reacts to the data. Move on when you need schedules, a shared server or a browser.

Frequently asked questions