Compare the Top AI Tools that integrate with JupyterLab as of October 2025

This a list of AI Tools that integrate with JupyterLab. Use the filters on the left to add additional filters for products that have integrations with JupyterLab. View the products that work with JupyterLab in the table below.

What are AI Tools for JupyterLab?

AI tools are software tools that utilize artificial intelligence to perform a variety of functions. They can be used to automate tasks, provide data-driven insights, and help streamline processes. AI tools can be applied across many different industries and applications, from healthcare to finance. By leveraging the power of machine learning and natural language processing, AI tools can help improve the efficiency of existing operations. Compare and read user reviews of the best AI Tools for JupyterLab currently available using the table below. This list is updated regularly.

  • 1
    Kite

    Kite

    Kite

    Code Faster. Stay in Flow. Kite adds AI powered code completions to your code editor, giving developers superpowers. Download the Kite engine to add Kite’s AI powered code completions to all your code editors. Kite supports over 16 languages and 16 code editors. Experience lightning fast completions that are context aware of your code. Give your code editor super powers and get longer multi-line completions where you would typically get none. Code faster and stay in flow. Kite’s AI helps you cut keystrokes, by as much as 47% in this example. View Python docs with just one click or mouse-hover, plus find helpful examples and how-tos. Quickly find files in your codebase that may be related to the current file that you are coding in. Making thousands of developers more productive.
    Starting Price: Free
  • 2
    UbiOps

    UbiOps

    UbiOps

    UbiOps is an AI infrastructure platform that helps teams to quickly run their AI & ML workloads as reliable and secure microservices, without upending their existing workflows. Integrate UbiOps seamlessly into your data science workbench within minutes, and avoid the time-consuming burden of setting up and managing expensive cloud infrastructure. Whether you are a start-up looking to launch an AI product, or a data science team at a large organization. UbiOps will be there for you as a reliable backbone for any AI or ML service. Scale your AI workloads dynamically with usage without paying for idle time. Accelerate model training and inference with instant on-demand access to powerful GPUs enhanced with serverless, multi-cloud workload distribution.
  • 3
    CodeSquire

    CodeSquire

    CodeSquire

    Quickly write code by translating your comments into code, like in this example where we quickly create a Plotly bar chart. Create entire functions with ease, without searching for library methods and parameters. In this example, we created a function that loads df to AWS bucket in parquet format. Write SQL queries by providing CodeSquire with simple instructions on what you want to pull, join, and group by, like in the following example where we are trying to determine the top 10 most common names. CodeSquire can even help you understand someone else’s code, just ask to explain the function above, and get your explanation in plain text. CodeSquire can help you create complex functions that involve several logic steps. Brainstorm with it by starting simple and adding more complex features as you go.
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