What Integrates with JupyterHub?

Find out what JupyterHub integrations exist in 2025. Learn what software and services currently integrate with JupyterHub, and sort them by reviews, cost, features, and more. Below is a list of products that JupyterHub currently integrates with:

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    Jupyter Notebook Reviews
    Open-source web application, the Jupyter Notebook, allows you to create and share documents with live code, equations, and visualizations. Data cleaning and transformation, numerical modeling, statistical modeling and data visualization are just a few of the many uses.
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    Kite Reviews
    Code faster. Stay in the Flow. Kite gives developers superpowers by adding AI-powered code completions to their code editor. Kite can be downloaded to add Kite's AI-powered code completions to all of your code editors. Kite supports more than 16 languages and 16 code editors. You will experience lightning fast code completions that are context-aware. Your code editor has superpowers and can complete multi-line lines faster than you would normally. Stay in flow and code faster. Kite's AI can reduce keystrokes by up to 47% in this example. With just one click, you can view Python docs. You can also find helpful examples and how tos. Find files in your codebase that might be related to the file you are currently coding in. This will make thousands of developers more productive.
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    JupyterLab Reviews
    Project Jupyter is an open-source project that develops open-standards software and services for interactive computing in dozens of programming languages. JupyterLab provides a web-based interactive environment for Jupyter notebooks and code. JupyterLab's user interface is flexible. You can configure and arrange it to support a variety of workflows in data science and scientific computing. JupyterLab can be extended and modified to add new components or integrate with existing ones. Open-source web application, Jupyter Notebook, allows you to create and share documents with live code, equations and visualizations. Data cleaning and transformation, numerical modeling, statistical modeling and data visualization are just a few of the many uses. Jupyter supports more than 40 programming languages, including Python and R, Julia, Scala, and Scala.
  • 4
    Coiled Reviews

    Coiled

    Coiled

    $0.05 per CPU hour
    Coiled makes enterprise-grade Dask easy. Coiled manages Dask clusters within your AWS or GCP account. This makes it the easiest and most secure method to run Dask in production. Coiled manages your cloud infrastructure and can deploy to your AWS account or Google Cloud account in a matter of minutes. Coiled provides a solid deployment solution that requires little effort. You can customize the cluster node types to meet your analysis needs. Run Dask in Jupyter Notebooks to get real-time dashboards, cluster insights, and other useful information. You can easily create software environments with custom dependencies for your Dask analysis. Enjoy enterprise-grade security. SLAs, user level management, and auto-termination clusters reduce costs. Coiled makes it easy for you to deploy your cluster on AWS and GCP. It takes only minutes and requires no credit card. You can launch code from anywhere you like, including cloud services like AWS SageMaker and open source solutions like JupyterHub.
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    DataOps.live Reviews
    Create a scalable architecture that treats data products as first-class citizens. Automate and repurpose data products. Enable compliance and robust data governance. Control the costs of your data products and pipelines for Snowflake. This global pharmaceutical giant's data product teams can benefit from next-generation analytics using self-service data and analytics infrastructure that includes Snowflake and other tools that use a data mesh approach. The DataOps.live platform allows them to organize and benefit from next generation analytics. DataOps is a unique way for development teams to work together around data in order to achieve rapid results and improve customer service. Data warehousing has never been paired with agility. DataOps is able to change all of this. Governance of data assets is crucial, but it can be a barrier to agility. Dataops enables agility and increases governance. DataOps does not refer to technology; it is a way of thinking.
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    NeevCloud Reviews

    NeevCloud

    NeevCloud

    $1.69/GPU/hour
    NeevCloud offers cutting-edge GPU cloud services powered by NVIDIA GPUs such as the H200, GB200 NVL72 and others. These GPUs offer unmatched performance in AI, HPC and data-intensive workloads. Flexible pricing and energy-efficient graphics cards allow you to scale dynamically, reducing costs while increasing output. NeevCloud is ideal for AI model training and scientific research. It also ensures seamless integration, global accessibility, and media production. NeevCloud GPU Cloud Solutions offer unparalleled speed, scalability and sustainability.
  • 7
    Wizata Reviews
    The Wizata Platform enables the manufacturing industry to drive digital transformation. It facilitates the development of AI solutions, from proof of concept to production recommendations, for a complete loop control through AI. This SaaS-Software as a Service platform acts as an orchestrator for your various assets (machines and sensors, AI, edge, etc.) and allows you to easily gather and analyze your data. It is your sole control. You can manage your resources and prioritize your projects based on how your AI solutions solve business problems and improve production processes. We have also developed data science best practices in metalurgics since 2004.
  • 8
    JetBrains DataSpell Reviews
    With a single keystroke, switch between editor and command modes. Use the arrow keys to navigate between cells. All the Jupyter shortcuts are available. Fully interactive outputs are available right under the cell. Editing code cells is easy with smart code completion, quick error checking and quick fixes, and easy navigation. You can connect to remote JupyterHub or JupyterLab servers from the IDE. Interactively run Python scripts and arbitrary expressions in a Python Console. You can see the outputs and the state variables in real time. Split Python scripts into code cells using the #%% separator, and run them individually in a Jupyter notebook. Interactive controls allow you to browse DataFrames or visualizations in real time. All popular Python scientific libraries, including Plotly and Altair, ipywidgets and others, are supported.
  • 9
    Vast.ai Reviews

    Vast.ai

    Vast.ai

    $0.20 per hour
    Vast.ai offers the lowest-cost cloud GPU rentals. Save up to 5-6 times on GPU computation with a simple interface. Rent on-demand for convenience and consistency in pricing. You can save up to 50% more by using spot auction pricing for interruptible instances. Vast offers a variety of providers with different levels of security, from hobbyists to Tier-4 data centres. Vast.ai can help you find the right price for the level of reliability and security you need. Use our command-line interface to search for offers in the marketplace using scriptable filters and sorting options. Launch instances directly from the CLI, and automate your deployment. Use interruptible instances to save an additional 50% or even more. The highest bidding instance runs; other conflicting instances will be stopped.
  • 10
    OpenHexa Reviews
    Understanding health issues requires the integration of complex and diverse data sources, even when they are within the context of single country interventions. Data can be gathered from HMIS platforms like DHIS2, individual tracking systems, custom software designed to address specific issues or various Excel reports provided in part by health professionals. It is often difficult to analyze and explore data from different sources. Collaboration is also difficult because many data analysts working with health data end up creating ad-hoc visualisations and scripts on their laptops. This makes it difficult for them to share their results in scattered publications, making it difficult to gain unified insights. Bluesquare created OpenHexa, which is a cloud-based data management platform that consists of three components: extraction, analysis, and visualization. This platform is largely based on open-source technologies that are mature.
  • 11
    Cleanlab Reviews
    Cleanlab Studio is a single framework that handles all analytics and machine-learning tasks. It includes the entire data quality pipeline and data-centric AI. The automated pipeline takes care of all your ML tasks: data preprocessing and foundation model tuning, hyperparameters tuning, model selection. ML models can be used to diagnose data problems, and then re-trained using your corrected dataset. Explore the heatmap of all suggested corrections in your dataset. Cleanlab Studio offers all of this and more free of charge as soon as your dataset is uploaded. Cleanlab Studio is pre-loaded with a number of demo datasets and project examples. You can view them in your account once you sign in.
  • 12
    Timbr.ai Reviews
    The smart semantic layer unifies metrics and speeds up the delivery of data products by 90% with shorter SQL queries. Model data using business terms for a common meaning and to align business metrics. Define semantic relationships to replace JOINs, making queries much easier. Hierarchies and classifications can help you better understand data. Automatically map data into the semantic model. Join multiple data sources using a powerful SQL engine distributed to query data at a large scale. Consume data in the form of a semantically connected graph. Materialized views and an intelligent cache engine can boost performance and reduce compute costs. Advanced query optimizations are available. Connect to any file format, cloud, datalake, data warehouse, or database. Timbr allows you to work seamlessly with your data sources. Timbr optimizes a query and pushes it to the backend when a query is executed.
  • 13
    Azure Marketplace Reviews
    Azure Marketplace is an online store with thousands of ready-to-use, certified software applications, services and solutions from Microsoft as well as third-party vendors. It allows businesses to discover, buy, and deploy software within the Azure cloud. The marketplace includes a wide variety of products including virtual machine images and AI and machine-learning models, developer tools and security solutions. Azure Marketplace simplifies procurement and centralizes billing with its flexible pricing options, such as pay-as you-go, free trial, and subscription models. It supports seamless integration with Azure Services, enabling organizations enhance their cloud infrastructure and streamline workflows.
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