Page 2 | Compare Business Software for Jupyter Notebook: July 2025 Reviews & Comparison

Lepton

Lepton is an open-source project on GitHub. It's free and we don't accept donations. If you like, feel free to donate to Wikimedia Foundation, which helps sustain free knowledge through Wikipedia and its sister projects for people around the world. Lepton replies on GitHub APIs to detect the language. Leptonis a centralized configuration file for Lepton and is parsed at the app startup. The file is not auto-generated. Lepton is a pure desktop client of GitHub Gist without its own service. All data are either saved locally or in the GitHub Gist service. Create a GitHub token with gist enabled. Put the token and other configs in the enterprise section in the Lepton config file. Lepton provides a formatted description section with title and tag support. You can group your gists based on their languages and custom tags. Letpon supports Markdown rendering. As a bonus, you can use Lepton for markdown note-taking and access it everywhere.

Starting Price: Free

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Akira AI

Akira.ai provides businesses with Agentic AI, a set of specialized AI agents designed to optimize and automate complex workflows across various industries. These AI agents collaborate with human teams, enhancing productivity, making real-time decisions, and automating repetitive tasks, such as data analysis, incident management, and HR processes. The platform integrates smoothly with existing systems, including CRMs and ERPs, ensuring a disruption-free transition to AI-enhanced operations. Akira’s AI agents help businesses streamline their operations, increase decision-making speed, and boost overall efficiency, driving innovation across sectors like manufacturing, finance, and IT.

Starting Price: $15 per month

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Deep Lake

activeloop

Generative AI may be new, but we've been building for this day for the past 5 years. Deep Lake thus combines the power of both data lakes and vector databases to build and fine-tune enterprise-grade, LLM-based solutions, and iteratively improve them over time. Vector search does not resolve retrieval. To solve it, you need a serverless query for multi-modal data, including embeddings or metadata. Filter, search, & more from the cloud or your laptop. Visualize and understand your data, as well as the embeddings. Track & compare versions over time to improve your data & your model. Competitive businesses are not built on OpenAI APIs. Fine-tune your LLMs on your data. Efficiently stream data from remote storage to the GPUs as models are trained. Deep Lake datasets are visualized right in your browser or Jupyter Notebook. Instantly retrieve different versions of your data, materialize new datasets via queries on the fly, and stream them to PyTorch or TensorFlow.

Starting Price: $995 per month

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Robocorp

Robocorp’s Open Source Gen2 RPA is better, faster, and is the most cost-effective RPA platform in the world, built for developers and teams that want to work smarter, not harder. Teams can build, optimize and accelerate automation on the fly all while significantly cutting down on the infrastructure burden needed to run Gen1 RPA tools. Teams that run Robocorp save up to 80% of what they’ve traditionally paid by running Gen1 tools. Robocorp’s technology empowers developers to build any automation that their team can dream up. Our programmable approach leverages a powerful open-source ecosystem of libraries and keywords that provides you the flexibility to build automation that you can count on. Our RPA framework automation stack is built on top of Python. Now developers are able to quickly build, integrate, deploy, analyze, and maintain complex automation with Robocorp. Monitor, manage, and visualize your automation in a single pane of glass.

Starting Price: $100 per month

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Kedro

Kedro is the foundation for clean data science code. It borrows concepts from software engineering and applies them to machine-learning projects. A Kedro project provides scaffolding for complex data and machine-learning pipelines. You spend less time on tedious "plumbing" and focus instead on solving new problems. Kedro standardizes how data science code is created and ensures teams collaborate to solve problems easily. Make a seamless transition from development to production with exploratory code that you can transition to reproducible, maintainable, and modular experiments. A series of lightweight data connectors is used to save and load data across many different file formats and file systems.

Starting Price: Free

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Datafi

Datafi provides a unified data platform for business teams. It integrates data siloes, it unifies data security and it enables self-service data workflows for the unique requirements of business users to easily find, use, and share the business information they need. Customers deploy Datafi to expand their organization’s data capabilities and empower more people to make fast and better data-driven decisions. With Datafi, data anywhere is easily accessible and meaningful for everyone. Know for sure how your data is accessed and how your data is used. Data-forward organizations know the value of enabling their data to drive new business outcomes, this starts with enabling data access in a simple and secure way. Novel uses of business data can drive new business outcomes and organizations that increase their data literacy are more likely to discover the data-driven insights that create new outcomes to better serve their customers.

Starting Price: $0.005 per query

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PostgresML

PostgresML is a complete platform in a PostgreSQL extension. Build simpler, faster, and more scalable models right inside your database. Explore the SDK and test open source models in our hosted database. Combine and automate the entire workflow from embedding generation to indexing and querying for the simplest (and fastest) knowledge-based chatbot implementation. Leverage multiple types of natural language processing and machine learning models such as vector search and personalization with embeddings to improve search results. Leverage your data with time series forecasting to garner key business insights. Build statistical and predictive models with the full power of SQL and dozens of regression algorithms. Return results and detect fraud faster with ML at the database layer. PostgresML abstracts the data management overhead from the ML/AI lifecycle by enabling users to run ML/LLM models directly on a Postgres database.

Starting Price: $.60 per hour

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Yandex DataSphere

Yandex.Cloud

Select the configuration and resources needed for specific code segments in your ongoing project. It takes seconds to apply changes within a training scenario and save the work result. Choose the right configuration for computing resources to start training models in just a few seconds. Everything will be created automatically with no need to manage infrastructure. Choose an operating mode: serverless or dedicated. Manage project data, save it to datasets, and set up connections to databases, object storage, or other repositories, all in one interface. Collaborate with colleagues around the world to create an ML model, share the project, and set budgets for teams across your organization. Launch your ML in minutes, without the help of developers. Run experiments with simultaneous publication of different versions of models.

Starting Price: $0.095437 per GB

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Forloop

Forloop is the no-code platform for external data automation. Go beyond your internal data limitations and access the latest market data to adapt faster, track market changes, and support price strategy. Get better insights with data outside of your company. With Forloop, you don’t have to make a compromise between a platform for prototyping and production-ready pipelines in the cloud of your choice. Access and extract data from non-API sources such as websites, maps, or 3rd party platforms. Get recommendations on how to clean, join, and aggregate data according to the best data science practices. Use no-code tools to clean, join, and transform data to model-ready format in an accelerated way with intelligent algorithms solving data quality issues. Our platform helped our users to increase their KPIs even by a factor of 10. Enhance decision-making and increase growth with new data. Forloop is a desktop app that you can download & try locally.

Starting Price: $29 per month

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HyperCrawl

HyperCrawl is the first web crawler designed specifically for LLM and RAG applications and develops powerful retrieval engines. Our focus was to boost the retrieval process by eliminating the crawl time of domains. We introduced multiple advanced methods to create a novel approach to building an ML-first web crawler. Instead of waiting for each webpage to load one by one (like standing in line at the grocery store), it asks for multiple web pages at the same time (like placing multiple online orders simultaneously). This way, it doesn’t waste time waiting and can move on to other tasks. By setting a high concurrency, the crawler can handle multiple tasks simultaneously. This speeds up the process compared to handling only a few tasks at a time. HyperLLM reduces the time and resources needed to open new connections by reusing existing ones. Think of it like reusing a shopping bag instead of getting a new one every time.

Starting Price: Free

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VESSL AI

Build, train, and deploy models faster at scale with fully managed infrastructure, tools, and workflows. Deploy custom AI & LLMs on any infrastructure in seconds and scale inference with ease. Handle your most demanding tasks with batch job scheduling, only paying with per-second billing. Optimize costs with GPU usage, spot instances, and built-in automatic failover. Train with a single command with YAML, simplifying complex infrastructure setups. Automatically scale up workers during high traffic and scale down to zero during inactivity. Deploy cutting-edge models with persistent endpoints in a serverless environment, optimizing resource usage. Monitor system and inference metrics in real-time, including worker count, GPU utilization, latency, and throughput. Efficiently conduct A/B testing by splitting traffic among multiple models for evaluation.

Starting Price: $100 + compute/month

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goormIDE

goormIDE is a powerful cloud-based Integrated Development Environment (IDE) designed to enhance productivity for developers and teams. It allows users to build customized development environments with just a few clicks, facilitating coding, building, running, and debugging directly within a web browser. The platform provides access to Linux-based containers via a fully-featured web terminal, enabling installation and configuration akin to a local machine. Real-time collaboration is a key feature, allowing multiple developers to edit source code simultaneously and communicate effectively within the same environment. Additionally, goormIDE integrates seamlessly with Git and Subversion repositories, offering a user-friendly interface for cloning, editing, committing, pushing, and pulling projects. This flexibility and ease of use make goormIDE a valuable tool for developers seeking efficient and collaborative coding solutions.

Starting Price: $7 per month

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PaizaCloud

On PaizaCloud Cloud IDE, you can operate Linux servers in your browser. You can manage and edit files, run commands, or start a web server/database server, all in a browser alone. You don't need to use troublesome commands to log in, edit files, or upload files anymore. You can operate Linux servers on the cloud just like a computer in front of you. Your new Linux server environment will be set up in just 3 seconds. You can copy an existing server environment, and you can also freely operate multiple Linux servers. Because the new server is set up instantly, you can challenge installing or developing software without worrying about breaking down. All you need is a browser to use your workspace environment from any PC or Mac. You can use the same workspace environment from anywhere without always having to carry the same computer around. For programming schools, coding boot camps, universities, and colleges, students can use the same development environment at school and at home.

Starting Price: $9.80 per month

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Guild AI

Guild AI is an open-source experiment tracking toolkit designed to bring systematic control to machine learning workflows, enabling users to build better models faster. It automatically captures every detail of training runs as unique experiments, facilitating comprehensive tracking and analysis. Users can compare and analyze runs to deepen their understanding and incrementally improve models. Guild AI simplifies hyperparameter tuning by applying state-of-the-art algorithms through straightforward commands, eliminating the need for complex trial setups. It also supports the automation of pipelines, accelerating model development, reducing errors, and providing measurable results. The toolkit is platform-agnostic, running on all major operating systems and integrating seamlessly with existing software engineering tools. Guild AI supports various remote storage types, including Amazon S3, Google Cloud Storage, Azure Blob Storage, and SSH servers.

Starting Price: Free

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KitchenAI

KitchenAI is a developer-centric framework that streamlines the process of transforming AI Jupyter Notebooks into production-ready APIs. It bridges the gap between AI developers, application developers, and infrastructure developers by providing a fully featured API server with default routes, a command-line interface for quick setup, and an extensible plugin framework. This design enables users to author multiple AI techniques, rapidly test and iterate, and seamlessly build and share their work. For AI developers, KitchenAI manages scalability within familiar environments, converting notebooks into robust applications. Application developers benefit from intuitive SDKs and tools that facilitate the integration of AI through simple APIs, allowing for quick testing to determine the most suitable AI techniques for their applications. Infrastructure developers can integrate with AI tooling.

Starting Price: $17 per month

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MLJAR Studio

MLJAR

It's a desktop app with Jupyter Notebook and Python built in, installed with just one click. It includes interactive code snippets and an AI assistant to make coding faster and easier, perfect for data science projects. We manually hand crafted over 100 interactive code recipes that you can use in your Data Science projects. Code recipes detect packages available in the current environment. Install needed modules with 1-click, literally. You can create and interact with all variables available in your Python session. Interactive recipes speed-up your work. AI Assistant has access to your current Python session, variables and modules. Broad context makes it smart. Our AI Assistant was designed to solve data problems with Python programming language. It can help you with plots, data loading, data wrangling, Machine Learning and more. Use AI to quickly solve issues with code, just click Fix button. The AI assistant will analyze the error and propose the solution.

Starting Price: $20 per month

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Scout

Scout is a comprehensive platform that enables users to build, launch, and scale AI solutions efficiently. It offers a workflow builder for creating AI automations using models, web scraping, data storage, API calls, and customized logic. Users can set up automated content ingestion from various sources, including websites and documentation, and connect multiple large language models within a single workflow to find optimal solutions. Deployment options include Copilots for delivering AI-generated answers directly on websites, Slack integration for customer interactions, and APIs and SDKs for building custom AI applications at scale. Scout provides comprehensive testing and tuning features, including evaluations, real-time monitoring, and built-in logging to oversee workflow status, latency, and costs. The platform is trusted by teams building the future.

Starting Price: $49 per month

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Vanna.AI

Vanna.AI is an AI-powered platform designed to help users interact with their databases by asking questions in natural language. It enables both beginners and experts to quickly obtain insights from large datasets without needing to write complex SQL queries. Users simply ask a question, and Vanna automatically identifies the relevant tables and columns to retrieve the data needed. The platform integrates with popular databases like Snowflake, BigQuery, and Postgres and supports various front-end implementations such as Jupyter Notebooks, Slackbots, and web apps. Vanna's open source model allows for secure, self-hosted deployments and can continuously improve its performance as it learns from the user's interactions. It is ideal for businesses looking to democratize access to data insights and simplify the query process.

Starting Price: $25 per month

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runcell.dev

Runcell is a Jupyter-native AI agent that understands your notebooks, writes code and executes cells so you can focus on insights, offering four AI-powered modes in one high-performance extension: Interactive Learning Mode provides an AI teacher that explains concepts with live code examples, step-by-step algorithm comparisons and real-time visual execution; Autonomous Agent Mode takes full control of your notebook to execute cells, automate complex workflows, reduce manual tasks and handle errors intelligently; Smart Edit Mode acts as a context-aware assistant, delivering intelligent code suggestions, automated optimizations and real-time syntax and logic improvements; and AI-Enhanced Jupyter lets you ask natural-language questions about your code, generate AI-powered solutions and receive smart recommendations for next steps, all seamlessly integrated into the familiar Jupyter interface.

Starting Price: $20 per month

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GeoSpock

GeoSpock enables data fusion for the connected world with GeoSpock DB – the space-time analytics database. GeoSpock DB is a unique, cloud-native database optimised for querying for real-world use cases, able to fuse multiple sources of Internet of Things (IoT) data together to unlock its full value, whilst simultaneously reducing complexity and cost. GeoSpock DB enables efficient storage, data fusion, and rapid programmatic access to data, and allows you to run ANSI SQL queries and connect to analytics tools via JDBC/ODBC connectors. Users are able to perform analysis and share insights using familiar toolsets, with support for common BI tools (such as Tableau™, Amazon QuickSight™, and Microsoft Power BI™), and Data Science and Machine Learning environments (including Python Notebooks and Apache Spark). The database can also be integrated with internal applications and web services – with compatibility for open-source and visualisation libraries such as Kepler and Cesium.js.

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Google Cloud Datalab

Google

An easy-to-use interactive tool for data exploration, analysis, visualization, and machine learning. Cloud Datalab is a powerful interactive tool created to explore, analyze, transform, and visualize data and build machine learning models on Google Cloud Platform. It runs on Compute Engine and connects to multiple cloud services easily so you can focus on your data science tasks. Cloud Datalab is built on Jupyter (formerly IPython), which boasts a thriving ecosystem of modules and a robust knowledge base. Cloud Datalab enables analysis of your data on BigQuery, AI Platform, Compute Engine, and Cloud Storage using Python, SQL, and JavaScript (for BigQuery user-defined functions). Whether you're analyzing megabytes or terabytes, Cloud Datalab has you covered. Query terabytes of data in BigQuery, run local analysis on sampled data, and run training jobs on terabytes of data in AI Platform seamlessly.

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Tengu

TENGU is a DataOps Orchestration Platform that works as a central workspace for data profiles of all levels. It provides data integration, extraction, transformation, loading all within it’s graph view UI in which you can intuitively monitor your data environment. By using the platform, business, analytics & data teams need fewer meetings and service tickets to collect data, and can start right away with the data relevant to furthering the company. The Platform offers a unique graph view in which every element is automatically generated with all available info based on metadata. While allowing you to perform all necessary actions from the same workspace. Enhance collaboration and efficiency, with the ability to quickly add and share comments, documentation, tags, groups. The platform enables anyone to get straight to the data with self-service. Thanks to the many automations and low to no-code functionalities and built-in assistant.

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IBM Watson Studio

IBM

Build, run and manage AI models, and optimize decisions at scale across any cloud. IBM Watson Studio empowers you to operationalize AI anywhere as part of IBM Cloud Pak® for Data, the IBM data and AI platform. Unite teams, simplify AI lifecycle management and accelerate time to value with an open, flexible multicloud architecture. Automate AI lifecycles with ModelOps pipelines. Speed data science development with AutoAI. Prepare and build models visually and programmatically. Deploy and run models through one-click integration. Promote AI governance with fair, explainable AI. Drive better business outcomes by optimizing decisions. Use open source frameworks like PyTorch, TensorFlow and scikit-learn. Bring together the development tools including popular IDEs, Jupyter notebooks, JupterLab and CLIs — or languages such as Python, R and Scala. IBM Watson Studio helps you build and scale AI with trust and transparency by automating AI lifecycle management.

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Actian Avalanche

Actian

Actian Avalanche is a fully managed hybrid cloud data warehouse service designed from the ground up to deliver high performance and scale across all dimensions – data volume, concurrent user, and query complexity – at a fraction of the cost of alternative solutions. It is a true hybrid platform that can be deployed on-premises as well as on multiple clouds, including AWS, Azure, and Google Cloud, enabling you to migrate or offload applications and data to the cloud at your own pace. Actian Avalanche delivers the best price-performance in the industry outof-the-box without DBA tuning and optimization techniques. For the same cost as alternative solutions, you can benefit from substantially better performance or chose the same performance for significantly lower cost. For example, Avalanche provides up to 6x the price-performance advantage over Snowflake as measured by GigaOm’s TPC-H industry standard benchmark and even more against many of the appliance vendors.

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Unfolded

Transform your geospatial data into insightful maps within minutes. Use our extensive layer catalog and advanced timeline animation capabilities. Slice and dice your data using our intuitive geospatial analytic capabilities. Quickly arrive at insights through fluid in-browser exploration with immediate visual feedback. Publish your maps to your team with the click of a button. Make your own stories and share impactful data narratives with the world. An intuitive user experience that makes complex geospatial data science easy. Combine Shapefiles, Vector Tiles and Cloud-Optimized GeoTIFFs with traditional data formats like CSV and GeoJSON. Analyze your data by joining tables and grouping rows. Cross-filter data and correlate columns using custom metrics. Build polished web applications on top of your published maps. Iterate quickly with our well-documented and easy-to-use API. Perform geospatial joins across different geospatial data types.

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Spyder

Spyder’s multi-language editor integrates a number of powerful tools right out of the box for an easy to use, efficient editing experience. The editor’s key features include syntax highlighting (pygments); real-time code and style analysis (pyflakes and pycodestyle); on-demand completion, calltips and go-to-definition features (rope and jedi); a function/class browser, horizontal and vertical splitting, and much more. The IPython console allows you to execute commands and interact with data inside IPython interpreters. The variable explorer allows you to interactively browse and manage the objects generated running your code. It shows the namespace contents (including all global objects, variables, class instances and more) of the currently selected IPython console session, and allows you to add, remove, and edit their values through a variety of GUI-based editors.

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Xtendlabs

Installing, and configuring today’s complex software technology platforms takes an extraordinary investment in time and resources. Not with Xtendlabs. Xtendlabs Emerging Technology Platform-as-a-Services provides immediate access to emerging Big Data, Data Sciences, and Database technology platforms online, from any device and location, 24/7. Xtendlabs are available on-demand, any time, from any location, including home, office or the road. Xtendlabs scale to meet your needs on-demand, so you can focus on your business problem and learning rather than struggling to find and set up infrastructure . Just sign-in to get immediate access to your virtual lab environment. Xtendlabs requires no virtual machine installation, system setup or configuration, saving valuable time and resources. Pay as you go monthly. With Xtendlabs there are no upfront investments in software or hardware.

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Warp 10

SenX

Warp 10 is a modular open source platform that collects, stores, and analyzes data from sensors. Shaped for the IoT with a flexible data model, Warp 10 provides a unique and powerful framework to simplify your processes from data collection to analysis and visualization, with the support of geolocated data in its core model (called Geo Time Series). Warp 10 is both a time series database and a powerful analytics environment, allowing you to make: statistics, extraction of characteristics for training models, filtering and cleaning of data, detection of patterns and anomalies, synchronization or even forecasts. The analysis environment can be implemented within a large ecosystem of software components such as Spark, Kafka Streams, Hadoop, Jupyter, Zeppelin and many more. It can also access data stored in many existing solutions, relational or NoSQL databases, search engines and S3 type object storage system.

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TwinThread

Transform your equipment data into competitive advantage; used on over 1 million assets and counting. Power your continuous improvement with the most advanced predictive operations technology available. Today’s production environments are more complex and more interconnected than ever. From increasingly sophisticated PLC technologies to the ever-expanding world of IIoT, your plant floor generates a dizzying amount of data. Adding information streaming in from supply chain systems, business, and financial systems, and dozens of other sources make it tough to separate what’s meaningful from what’s just noise. TwinThread empowers you to transform data from any source into actionable, impactful, positive results. Our predictive operations platform is designed from the ground up to drive greater operational efficiency, reduce costs, and improve consistency and throughput. Our mission, as audacious as it sounds, is to drive 100% plant efficiency.

Starting Price: $200 per month

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Coiled

Coiled is enterprise-grade Dask made easy. Coiled manages Dask clusters in your AWS or GCP account, making it the easiest and most secure way to run Dask in production. Coiled manages cloud infrastructure for you, deploying on your AWS or Google Cloud account in minutes. Giving you a rock-solid deployment solution with zero effort. Customize cluster node types to fit your analysis needs. Run Dask in Jupyter Notebooks with real-time dashboards and cluster insights. Create software environments easily with customized dependencies for your Dask analysis. Enjoy enterprise-grade security. Reduce costs with SLAs, user-level management, and auto-termination of clusters. Coiled makes it easy to deploy your cluster on AWS or GCP. You can do it in minutes, without a credit card. Launch code from anywhere, including cloud services like AWS SageMaker, open source solutions, like JupyterHub, or even from the comfort of your very own laptop.

Starting Price: $0.05 per CPU hour

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Business Software for Jupyter Notebook - Page 2

Top Software that integrates with Jupyter Notebook as of July 2025 - Page 2

Lepton

Akira AI

Deep Lake

Robocorp

Kedro

Datafi

PostgresML

Yandex DataSphere

Forloop

HyperCrawl

VESSL AI

goormIDE

PaizaCloud

Guild AI

KitchenAI

MLJAR Studio

Scout

Vanna.AI

runcell.dev

GeoSpock

Google Cloud Datalab

Tengu

IBM Watson Studio

Actian Avalanche

Unfolded

Spyder

Xtendlabs

Warp 10

TwinThread

Coiled