Instead of ML Workspace
ML Workspace alternatives
ML Workspace is a free, self-deployed web IDE for machine learning and data science. It puts browser-based Jupyter, JupyterLab, Visual Studio Code and a Linux desktop GUI in one environment, with TensorFlow, PyTorch, Keras and scikit-learn preinstalled in its main image. Git tools, TensorBoard, hardware monitoring, remote connections and minimal, R, Spark and GPU image flavors extend the workspace across Linux, macOS, Windows and web access. It can also provide remote runtimes for several development tools and supports browser, SSH and VNC access.
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Paperspace Gradient
Free plan Open source APIExtensionLinux+4Hosted GPU notebooks and model API deployment — Paperspace Gradient adds hosted GPU and IPU compute, collaborative notebooks, GitHub integration and model-serving API endpoints.
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JupyterLab
by JupyterLabFree plan Open source APILinuxMac+3Free, extensible notebook development — JupyterLab focuses on arranging notebooks, terminals, editors, consoles and extensions rather than ML Workspace’s bundled libraries and monitoring.
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KEEL
Free plan LinuxMacWindowsOffline classical data-mining experiments — KEEL supplies 518 algorithms, preprocessing, statistical tests, experiment design and more than 600 linked datasets in a Java suite.
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KNIME Analytics Platform
by KNIME Analytics PlatformFree plan LinuxMacWindowsVisual workflows with many data connectors — KNIME provides open-source visual workflows and 300+ connectors for data access, transformation, analysis, modeling and visualization.
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MLJAR Studio
Free plan LinuxMacSelf-hosted+1Local AI-assisted analysis and AutoML — MLJAR Studio adds plain-language Python analysis, experiment tuning, reports and local notebook-to-web-app publishing.
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Google Colab
Free plan APIExtensionSelf-hosted+1 - 9
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H2O.ai
Free plan APIiPhoneSelf-hosted+1 - 11
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Alibaba Cloud Machine Learning Platform for AI
Free plan Web - 14
Kubeflow Notebooks
Free plan Self-hostedWeb - 15
Altair AI Studio
Free plan LinuxMacWindows - 16
DataRobot
Free trial APILinuxSelf-hosted+1 - 17
Glycerine Workbench
Free plan Web - 18
IBM Watson Studio
Free plan Web - 19
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NVIDIA AI Workbench
Free plan LinuxMacWindows - 21
3DEXPERIENCE Enterprise Data Science
Paid Web - 22
Domino Data Lab
Paid APISelf-hostedWeb - 23
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Azure Machine Learning
Paid Web4.9 Visit site
Choosing it means accepting operational boundaries. Docker is required, the documentation recommends at least 2 CPUs and 500 MB of memory, and the design targets a single user. Non-root use is unsupported, and individual email support is unavailable. Alternatives shift the balance toward hosted GPU computing, collaboration, data applications, visual workflows, classic notebook tooling or specialized data mining. Compare whether you need model endpoints, shared notebooks, AI-assisted analysis, offline local work or broad infrastructure control, then weigh platform coverage and paid-plan or compute costs against ML Workspace’s free bundled environment.
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