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:
-
1
Jupyter Notebook
Project Jupyter
3 RatingsThe Jupyter Notebook is a web-based open-source tool that enables users to create and distribute documents featuring live code, visualizations, equations, and written explanations. Its applications are diverse and encompass tasks such as data cleaning and transformation, statistical modeling, numerical simulations, data visualization, machine learning, among others, showcasing its versatility in various fields. Additionally, it serves as an excellent platform for collaboration and sharing insights within the data science community. -
2
Accelerate your coding experience and maintain your creative momentum with Kite, which integrates AI-driven code completions into your preferred code editor, effectively granting developers extraordinary capabilities. By downloading the Kite engine, you can enhance any code editor with advanced AI completions, compatible with over 16 programming languages and code editors. Enjoy rapid, context-sensitive suggestions that empower your coding process, allowing for longer multi-line completions in scenarios where you might usually struggle. As you code more efficiently, Kite's AI can reduce your keystrokes by as much as 47%, streamlining your workflow significantly. Access Python documentation effortlessly with a simple click or mouse hover, and discover useful examples and tutorials at your fingertips. Additionally, you can swiftly locate files in your codebase that are pertinent to the current file you are working on, ultimately boosting productivity for thousands of developers. With Kite, you not only code faster but also enhance your overall development experience.
-
3
JupyterLab
Jupyter
1 RatingProject Jupyter is dedicated to the creation of open-source tools, standards, and services that facilitate interactive computing in numerous programming languages. At the heart of this initiative is JupyterLab, a web-based interactive development environment designed for Jupyter notebooks, coding, and data manipulation. JupyterLab offers remarkable flexibility, allowing users to customize and organize the interface to cater to various workflows in fields such as data science, scientific research, and machine learning. Its extensibility and modular nature enable developers to create plugins that introduce new features and seamlessly integrate with existing components. The Jupyter Notebook serves as an open-source web application enabling users to produce and share documents that incorporate live code, mathematical equations, visualizations, and descriptive text. Common applications of Jupyter include data cleaning and transformation, numerical simulations, statistical analysis, data visualization, and machine learning, among others. Supporting over 40 programming languages—including popular ones like Python, R, Julia, and Scala—Jupyter continues to be a valuable resource for researchers and developers alike, fostering collaborative and innovative approaches to computing challenges. -
4
Coiled
Coiled
$0.05 per CPU hourCoiled simplifies the process of using Dask at an enterprise level by managing Dask clusters within your AWS or GCP accounts, offering a secure and efficient method for deploying Dask in a production environment. With Coiled, you can set up cloud infrastructure in mere minutes, allowing for a seamless deployment experience with minimal effort on your part. You have the flexibility to tailor the types of cluster nodes to meet the specific requirements of your analysis. Utilize Dask in Jupyter Notebooks while gaining access to real-time dashboards and insights about your clusters. The platform also facilitates the easy creation of software environments with personalized dependencies tailored to your Dask workflows. Coiled prioritizes enterprise-level security and provides cost-effective solutions through service level agreements, user-level management, and automatic termination of clusters when they’re no longer needed. Deploying your cluster on AWS or GCP is straightforward and can be accomplished in just a few minutes, all without needing a credit card. You can initiate your code from a variety of sources, including cloud-based services like AWS SageMaker, open-source platforms like JupyterHub, or even directly from your personal laptop, ensuring that you have the freedom and flexibility to work from anywhere. This level of accessibility and customization makes Coiled an ideal choice for teams looking to leverage Dask efficiently. -
5
DataOps.live
DataOps.live
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. -
6
JetBrains DataSpell
JetBrains
$229Easily switch between command and editor modes using just one keystroke while navigating through cells with arrow keys. Take advantage of all standard Jupyter shortcuts for a smoother experience. Experience fully interactive outputs positioned directly beneath the cell for enhanced visibility. When working within code cells, benefit from intelligent code suggestions, real-time error detection, quick-fix options, streamlined navigation, and many additional features. You can operate with local Jupyter notebooks or effortlessly connect to remote Jupyter, JupyterHub, or JupyterLab servers directly within the IDE. Execute Python scripts or any expressions interactively in a Python Console, observing outputs and variable states as they happen. Split your Python scripts into code cells using the #%% separator, allowing you to execute them one at a time like in a Jupyter notebook. Additionally, explore DataFrames and visual representations in situ through interactive controls, all while enjoying support for a wide range of popular Python scientific libraries, including Plotly, Bokeh, Altair, ipywidgets, and many others, for a comprehensive data analysis experience. This integration allows for a more efficient workflow and enhances productivity while coding. -
7
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. -
8
Train in Data
Train in Data
$15Train in Data is a specialized online school offering intermediate to advanced courses in Python programming, data science, and machine learning designed for serious learners. Led by industry professionals with extensive experience developing and deploying machine learning models in production environments, the platform provides practical, hands-on instruction. Its teaching philosophy centers on mastering the theory behind machine learning before applying it through Python coding exercises. The courses help students build a strong, intuitive understanding of complex concepts while reinforcing learning through real coding practice. Train in Data delivers a comprehensive learning experience by combining theoretical knowledge, practical coding skills, and troubleshooting techniques. This prepares learners to confidently tackle real-world machine learning projects from start to finish. The platform is ideal for those looking to deepen their expertise and transition from theory to practice. Ultimately, it empowers students to become proficient machine learning practitioners. -
9
OpenHexa
Bluesquare
Navigating health-related challenges frequently necessitates the integration of intricate and varied data sources, even when focusing on interventions within a single nation. Such data may originate from Health Management Information Systems (HMIS) like DHIS2, personal tracking mechanisms, bespoke software aimed at particular issues, or assorted Excel files supplied by health professionals. The presence of this heterogeneous data in isolated silos often represents the most significant hurdle in facilitating an effective exploration and analytical process. This fragmentation also hampers collaboration, resulting in data analysts who specialize in health data frequently resorting to creating improvised scripts and visualizations on their personal devices, and subsequently disseminating their findings across disparate publications that complicate the extraction of coherent insights. To remedy this challenge, Bluesquare has developed OpenHexa, a comprehensive cloud-based data integration platform that features three key components: extraction, analysis, and visualization. This innovative platform primarily leverages established open-source technologies, ensuring both reliability and accessibility for users across the health sector. By streamlining data management, OpenHexa aims to enhance collaboration and foster unified insights that can drive more effective health interventions. -
10
Wizata
Wizata
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. -
11
Vast.ai
Vast.ai
$0.20 per hourVast.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. -
12
Timbr.ai
Timbr.ai
The intelligent semantic layer merges data with its business context and interconnections, consolidates metrics, and speeds up the production of data products by allowing for SQL queries that are 90% shorter. Users can easily model the data using familiar business terminology, creating a shared understanding and aligning the metrics with business objectives. By defining semantic relationships that replace traditional JOIN operations, queries become significantly more straightforward. Hierarchies and classifications are utilized to enhance data comprehension. The system automatically aligns data with the semantic model, enabling the integration of various data sources through a robust distributed SQL engine that supports large-scale querying. Data can be accessed as an interconnected semantic graph, improving performance while reducing computing expenses through an advanced caching engine and materialized views. Users gain from sophisticated query optimization techniques. Additionally, Timbr allows connectivity to a wide range of cloud services, data lakes, data warehouses, databases, and diverse file formats, ensuring a seamless experience with your data sources. When executing a query, Timbr not only optimizes it but also efficiently delegates the task to the backend for improved processing. This comprehensive approach ensures that users can work with their data more effectively and with greater agility. -
13
Azure Marketplace
Microsoft
The Azure Marketplace serves as an extensive digital storefront, granting users access to a vast array of certified, ready-to-use software applications, services, and solutions provided by both Microsoft and various third-party vendors. This platform allows businesses to easily explore, purchase, and implement software solutions directly within the Azure cloud ecosystem. It features a diverse selection of products, encompassing virtual machine images, AI and machine learning models, developer tools, security features, and applications tailored for specific industries. With various pricing structures, including pay-as-you-go, free trials, and subscriptions, Azure Marketplace makes the procurement process more straightforward and consolidates billing into a single Azure invoice. Furthermore, its seamless integration with Azure services empowers organizations to bolster their cloud infrastructure, streamline operational workflows, and accelerate their digital transformation goals effectively. As a result, businesses can leverage cutting-edge technology solutions to stay competitive in an ever-evolving market. -
14
Quantinuum Nexus
Quantinuum
Quantinuum Nexus is a cloud-centric platform designed to facilitate the execution, evaluation, and collaboration on quantum computing initiatives. It effectively incorporates support for a range of quantum hardware providers by utilizing the pytket quantum programming tools, which enhance circuit performance and enable seamless translation across different backends. Among its notable features are a unified cloud interface for various quantum backends, preinstalled dedicated simulators—including our emulator—a fully hosted and configured JupyterHub environment, automated storage solutions for circuits, compilation passes, and results, as well as secure data sharing capabilities with collaborators. Furthermore, Nexus consolidates all necessary components to reproduce your experiments in a single location, capturing a comprehensive snapshot of the backend alongside the utilized settings and variables. With its efficient data management solutions, users can focus more on innovation rather than logistical concerns, fostering a more productive and collaborative quantum computing experience. -
15
Cleanlab
Cleanlab
Cleanlab Studio offers a comprehensive solution for managing data quality and executing data-centric AI processes within a unified framework designed for both analytics and machine learning endeavors. Its automated pipeline simplifies the machine learning workflow by handling essential tasks such as data preprocessing, fine-tuning foundation models, optimizing hyperparameters, and selecting the best models for your needs. Utilizing machine learning models, it identifies data-related problems, allowing you to retrain on your refined dataset with a single click. You can view a complete heatmap that illustrates recommended corrections for every class in your dataset. All this valuable information is accessible for free as soon as you upload your data. Additionally, Cleanlab Studio comes equipped with a variety of demo datasets and projects, enabling you to explore these examples in your account right after logging in. Moreover, this user-friendly platform makes it easy for anyone to enhance their data management skills and improve their machine learning outcomes.
- Previous
- You're on page 1
- Next