Jupyter Notebook Integrations

Codeium is a free AI-powered coding assistant that accelerates development by providing intelligent code autocompletion in over 70 programming languages and more than 40 IDEs, including VSCode, JetBrains, and Jupyter Notebooks. With Codeium, developers can write code faster, eliminate repetitive tasks, and stay in the flow state—whether they're working with Python, JavaScript, C++, or any other language. Built on billions of lines of open-source code, Codeium understands and anticipates your coding needs, offering multiline suggestions, automated unit tests, and even natural language explanations for complex functions. It’s perfect for streamlining code writing, reducing boilerplate, and cutting down the time spent on documentation searches. Trusted by individual developers and Fortune 500 companies alike, Codeium is your go-to solution for boosting productivity and writing better code. Try Codeium for free today and experience the future of AI-powered coding!

Crowdin, a localization management software powered by AI, facilitates the localization of diverse content such as websites, mobile apps, games, desktop and web applications, help centers, blogs, and email campaigns. With a repertoire of over 600 add-ons and integrations, the platform streamlines the localization process and supports over 100 file formats. Crowdin uses cutting-edge technology to simplify translation and localization tasks, providing easy-to-use solutions for seamless implementation. Crowdin supports more than 100 file formats, including but not limited to files for mobile, software, documents, subtitles, and graphic assets: .xml, .strings, .json, .html, .xliff, .csv, .php, .resx, .yaml, .xml, .strings and on. Continuous localization for all your content: ✓ Software ✓ Mobile Apps ✓ Websites ✓ Marketing content ✓ Help center ✓ Games Try Crowdin for free today Join thousands of people already making their products multilingual 🚀

Saturn Cloud is an award-winning ML platform for any cloud with 100,000+ users, including NVIDIA, CFA Institute, Snowflake, Flatiron School, Nestle, and more. It is an all-in-one solution for data science & ML development, deployment, and data pipelines in the cloud. Users can spin up a notebook with 4TB of RAM, add a GPU, connect to a distributed cluster of workers, build large language models, and more in a completely hosted environment. Data professionals can use your preferred languages, IDEs, and machine-learning libraries in Saturn Cloud. We offer full Git integration, shared custom images, and secure credential storage, making scaling and building your team in the cloud easy. We support the entire machine learning lifecycle from experimentation to production with features like jobs and deployments. These features and built-in tools are easily shareable within teams, so time is saved and work is reproducible.

An end-to-end open source machine learning platform. TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. Build and train ML models easily using intuitive high-level APIs like Keras with eager execution, which makes for immediate model iteration and easy debugging. Easily train and deploy models in the cloud, on-prem, in the browser, or on-device no matter what language you use. A simple and flexible architecture to take new ideas from concept to code, to state-of-the-art models, and to publication faster. Build, deploy, and experiment easily with TensorFlow.

Docker takes away repetitive, mundane configuration tasks and is used throughout the development lifecycle for fast, easy and portable application development, desktop and cloud. Docker’s comprehensive end-to-end platform includes UIs, CLIs, APIs and security that are engineered to work together across the entire application delivery lifecycle. Get a head start on your coding by leveraging Docker images to efficiently develop your own unique applications on Windows and Mac. Create your multi-container application using Docker Compose. Integrate with your favorite tools throughout your development pipeline, Docker works with all development tools you use including VS Code, CircleCI and GitHub. Package applications as portable container images to run in any environment consistently from on-premises Kubernetes to AWS ECS, Azure ACI, Google GKE and more. Leverage Docker Trusted Content, including Docker Official Images and images from Docker Verified Publishers.

Kubernetes (K8s) is an open-source system for automating deployment, scaling, and management of containerized applications. It groups containers that make up an application into logical units for easy management and discovery. Kubernetes builds upon 15 years of experience of running production workloads at Google, combined with best-of-breed ideas and practices from the community. Designed on the same principles that allows Google to run billions of containers a week, Kubernetes can scale without increasing your ops team. Whether testing locally or running a global enterprise, Kubernetes flexibility grows with you to deliver your applications consistently and easily no matter how complex your need is. Kubernetes is open source giving you the freedom to take advantage of on-premises, hybrid, or public cloud infrastructure, letting you effortlessly move workloads to where it matters to you.

Dropbox Business is more than just secure file storage—it’s a smart workspace where teams, tools, and content come together. Create, store, and share cloud content from Google Docs, Sheets, and Slides, Microsoft Office files, and Dropbox Paper alongside traditional files in Dropbox. Dropbox Spaces brings your files and cloud content together, so that your PowerPoints can live next to your Google Docs, Trello boards, and whatever tools your team wants to use. Easily access your team’s work from your computer, mobile device, or any web browser. Keep your team’s files and the conversations about them in the same place by connecting tools like Slack and Zoom. Intelligently suggested files and folders keep your team one step ahead by giving everyone the content they need, when they need it. A secure, distributed infrastructure—plus admin tools for control and visibility—keep your company’s data safe on Dropbox.

GitHub is the world’s most secure, most scalable, and most loved developer platform. Join millions of developers and businesses building the software that powers the world. Build with the world’s most innovative communities, backed by our best tools, support, and services. If you manage multiple contributors , there’s a free option: GitHub Team for Open Source. We also run GitHub Sponsors, where we help fund your work. The Pack is back. We’ve partnered up to give students and teachers free access to the best developer tools—for the school year and beyond. Work for a government-recognized nonprofit, association, or 501(c)(3)? Get a discounted Organization account on us.

All the Python tools in one place. Save time while PyCharm takes care of the routine. Focus on the bigger things and embrace the keyboard-centric approach to get the most of PyCharm's many productivity features. PyCharm knows everything about your code. Rely on it for intelligent code completion, on-the-fly error checking and quick-fixes, easy project navigation, and much more. Write neat and maintainable code while the IDE helps you keep control of the quality with PEP8 checks, testing assistance, smart refactorings, and a host of inspections. PyCharm is designed by programmers, for programmers, to provide all the tools you need for productive Python development. PyCharm provides smart code completion, code inspections, on-the-fly error highlighting and quick-fixes, along with automated code refactorings and rich navigation capabilities.

Tabnine is the AI coding assistant that you control — helping development teams of every size use AI to accelerate and simplify the software development process without sacrificing privacy, security, or compliance. Tabnine boosts engineering velocity, code quality, and developer happiness by automating the coding workflow through AI tools customized to your team. Tabnine is trusted by more than 1,000,000 developers across thousands of organizations. Tabnine offers best-in-class AI code completion and an AI-powered chat and supports numerous use cases such as code generation, explanation of code, creating unit tests, generating documentation, debugging code, refactoring and maintaining code. Tabnine is integrated with all the major IDEs such as VS Code, JetBrains, Visual Studio, Eclipse. It supports over 80 programming languages and frameworks including JavaScript, Python, Java, PHP, Go, and more.

BLACKBOX.AI is a Coding LLM designed to transform the way we build software. By building BLACKBOX.AI, our goal is to: - Accelerate the pace of innovation within companies by making engineers 10X faster in building and releasing products - Accelerate the growth in software engineers around the world and 10X the number of engineers from ~100M to 1B Capabilities: 1. Natural Language to Code 2. Real-Time Knowledge 3. Code Completion 4. VISION 5. Code Commenting 6. Commit Message Generation 7. Chat with your Code Files BLACKBOX is built to answer coding questions and assist you write code faster. Whether you are fixing a bug, building a new feature or refactoring your code, ask BLACKBOX to help. BLACKBOX has real-time knowledge of the world, making it able to answer questions about recent events, technological breakthroughs, product releases, API documentations & more BLACKBOX integrates directly with VSCode to automatically suggests the next lines of code.

Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. JupyterLab is a web-based interactive development environment for Jupyter notebooks, code, and data. JupyterLab is flexible, configure and arrange the user interface to support a wide range of workflows in data science, scientific computing, and machine learning. JupyterLab is extensible and modular, write plugins that add new components and integrate with existing ones. The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include, data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more. Jupyter supports over 40 programming languages, including Python, R, Julia, and Scala.

Pop!_OS is an operating system for STEM and creative professionals who use their computer as a tool to discover and create. Unleash your potential on secure, reliable open source software. Based on your exceptional curiosity, we sense you have a lot of it. Pop!_OS is designed for fast navigation, easy workspace organization, and fluid, convenient workflow. Your operating system should encourage discovery, not obstruct it. While you’ve got your wheels turning, take the scenic route with a dock and touchpad gestures, or race along a minimalist track from behind the wheel of a revving keyboard. With a variety of both mouse-driven and keyboard-driven customizations, you’re empowered to navigate your workflow the way you’ve always wanted. Pop!_OS uses auto-tiling for the same reason that people hire assistants: Organizing your work is incredibly time-consuming. Sure, you could still move, resize, and arrange windows yourself, but why spend the time when your OS does it for you?

With JupyterHub you can create a multi-user Hub which spawns, manages, and proxies multiple instances of the single-user Jupyter notebook server. Project Jupyter created JupyterHub to support many users. The Hub can offer notebook servers to a class of students, a corporate data science workgroup, a scientific research project, or a high performance computing group. JupyterHub officially does not support Windows. You may be able to use JupyterHub on Windows if you use a Spawner and Authenticator that work on Windows, but the JupyterHub defaults will not. Bugs reported on Windows will not be accepted, and the test suite will not run on Windows. Small patches that fix minor Windows compatibility issues (such as basic installation) may be accepted, however. For Windows-based systems, we would recommend running JupyterHub in a docker container or Linux VM.

Colaboratory, or "Colab" for short, allows you to write and execute Python in your browser, with - Zero configuration required - Free access to GPUs - Easy sharing Whether you're a student, a data scientist or an AI researcher, Colab can make your work easier. Colab notebooks allow you to combine executable code and rich text in a single document, along with images, HTML, LaTeX, and more. When you create your own Colab notebooks, they are stored in your Google Drive account. You can easily share your Colab notebooks with co-workers or friends, allowing them to comment on your notebooks or even edit them.

Hundreds of satisfied customers worldwide, tens of millions of requests per day. Here today, here tomorrow. Funded by customers, not VCs - since 2013. Redundant EU data centers, fully GDPR compliant. Independently monitored uptime All API requests via 256-bit SSL encryption (HTTPS). Responsive customer support. Ask us anything. Proud corporate member of the OpenStreetMap Foundation. Great product. Many open gecoders behind a single API. Most permissive licensing in the industry. Cache results as long as you like. No vendor lock-in, display results on ANY map. Worldwide coverage. Continual updates - OpenStreetMap has over four million edits/day. Avoid the stress and on-going costs of maintaining your own system Easy setup: Tutorials and SDKs for over 30 different programming languages. We add useful info like timezones, calling codes, FIPS codes, speed limits, currency, what3words, sunrise/sunset, etc to save you engineering time.

Dagster is a next-generation orchestration platform for the development, production, and observation of data assets. Unlike other data orchestration solutions, Dagster provides you with an end-to-end development lifecycle. Dagster gives you control over your disparate data tools and empowers you to build, test, deploy, run, and iterate on your data pipelines. It makes you and your data teams more productive, your operations more robust, and puts you in complete control of your data processes as you scale. Dagster brings a declarative approach to the engineering of data pipelines. Your team defines the data assets required, quickly assessing their status and resolving any discrepancies. An assets-based model is clearer than a tasks-based one and becomes a unifying abstraction across the whole workflow.

Datameer revolutionizes data transformation with a low-code approach, trusted by top global enterprises. Craft, transform, and publish data seamlessly with no code and SQL, simplifying complex data engineering tasks. Empower your data teams to make informed decisions confidently while saving costs and ensuring responsible self-service analytics. Speed up your analytics workflow by transforming datasets to answer ad-hoc questions and support operational dashboards. Empower everyone on your team with our SQL or Drag-and-Drop to transform your data in an intuitive and collaborative workspace. And best of all, everything happens in Snowflake. Datameer is designed and optimized for Snowflake to reduce data movement and increase platform adoption. Some of the problems Datameer solves: - Analytics is not accessible - Drowning in backlog - Long development

Coginiti, the AI-enabled enterprise data workspace, empowers everyone to get consistent answers fast to any business question. Accelerating the analytic development lifecycle from development to certification, Coginiti makes it easy for you to search and find approved metrics for your use case. Coginiti integrates all the functionality you need to build, approve, version, and curate analytics across all business domains for reuse, all while adhering to your data governance policy and standards. Data and analytic teams in the insurance, financial services, healthcare, and retail/consumer package goods industries trust Coginiti’s collaborative data workspace to deliver value to their customers.

Explore a new library or dataset in a notebook. Automate preprocessing, training, or testing with a 2orkflow. Bring your application to life with a deployment. Use notebooks, workflows, and deployments together or independently. Compatible with everything. Gradient supports all major frameworks and libraries. Gradient is powered by Paperspace's world-class GPU instances. Move faster with source control integration. Connect to GitHub to manage all your work & compute resources with git. Launch a GPU-enabled Jupyter Notebook from your browser in seconds. Use any library or framework. Easily invite collaborators or share a public link. A simple cloud workspace that runs on free GPUs. Get started in seconds with a notebook environment that's easy to use and share. Perfect for ML developers. A powerful no-fuss environment with loads of features that just works. Choose a pre-built template or bring your own. Try a free GPU!

Log, store, query, display, organize, and compare all your model metadata in a single place. Know on which dataset, parameters, and code every model was trained on. Have all the metrics, charts, and any other ML metadata organized in a single place. Make your model training runs reproducible and comparable with almost no extra effort. Don’t waste time looking for folders and spreadsheets with models or configs. Have everything easily accessible in one place. Reduce context switching by having everything you need in a single dashboard. Find the information you need quickly in a dashboard that was built for ML model management. We optimize loggers/databases/dashboards to work for millions of experiments and models. We help your team get started with excellent examples, documentation, and a support team ready to help at any time. Don’t re-run experiments because you forgot to track parameters. Make experiments reproducible and run them once.

Giskard provides interfaces for AI & Business teams to evaluate and test ML models through automated tests and collaborative feedback from all stakeholders. Giskard speeds up teamwork to validate ML models and gives you peace of mind to eliminate risks of regression, drift, and bias before deploying ML models to production.

Build fast with production quality using AI. Create high quality code effortlessly. Prototype with AI Autocomplete. Transform to production quality code with AI. Minimize time filling in boilerplate and on Stack OverFlow with our specialized neural networks. Refactor, document, and add types. Give instructions to the AI directly to modify your code. Hate writing tests? We have you covered. Automatically generate unit tests with AI and metaprogramming. We believe the future of software development is AI accelerated. Our long term mission is to enable programmers to move at the speed of thought. We also believe the recent advances in AI will unlock new ways of programming beyond the pre AI accelerated stack that won't look like a traditional IDE or version control system.

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.

Stata is a complete, integrated software package that provides all your data science needs: data manipulation, visualization, statistics, and automated reporting. Stata is fast and accurate. It is easy to learn through the extensive graphical interface yet completely programmable. With Stata's menus and dialogs, you get the best of both worlds. You can easily point and click or drag and drop your way to all of Stata's statistical, graphical, and data management features. Use Stata's intuitive command syntax to quickly execute commands. Whether you enter commands directly or use the menus and dialogs, you can create a log of all actions and their results to ensure the reproducibility and integrity of your analysis. Stata also has complete command-line scripting and programming facilities, including a full matrix programming language. You have access to everything you need to script your analysis or even to create new Stata commands--commands that work just like those shipped with Stata.

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.

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.

data.world is a fully managed service, born in the cloud, and optimized for modern data architectures. That means we handle all updates, migrations, and maintenance. Set up is fast and simple with a large and growing ecosystem of pre-built integrations including all of the major cloud data warehouses. When time-to-value is critical, your team needs to solve real business problems, not fight with hard-to-manage data software. data.world makes it easy for everyone, not just the "data people", to get clear, accurate, fast answers to any business question. Our cloud-native data catalog maps your siloed, distributed data to familiar and consistent business concepts, creating a unified body of knowledge anyone can find, understand, and use. In addition to our enterprise product, data.world is home to the world’s largest collaborative open data community. It’s where people team up on everything from social bot detection to award-winning data journalism.

DSVMs are Azure Virtual Machine images, pre-installed, configured and tested with several popular tools that are commonly used for data analytics, machine learning and AI training. Consistent setup across team, promote sharing and collaboration, Azure scale and management, Near-Zero Setup, full cloud-based desktop for data science. Quick, Low friction startup for one to many classroom scenarios and online courses. Ability to run analytics on all Azure hardware configurations with vertical and horizontal scaling. Pay only for what you use, when you use it. Readily available GPU clusters with Deep Learning tools already pre-configured. Examples, templates and sample notebooks built or tested by Microsoft are provided on the VMs to enable easy onboarding to the various tools and capabilities such as Neural Networks (PYTorch, Tensorflow, etc.), Data Wrangling, R, Python, Julia, and SQL Server.

SensorCloud is a unique sensor data storage, visualization and remote management platform that leverages powerful Cloud computing technologies to provide excellent data scalability, rapid visualization, and user programmable analysis. SensorCloud's core features include FastGraph, MathEngine®, LiveConnect, and the OpenData API. SensorCloud allows you to easily create dashboards to visualize all of your data. Dashboards can be as simple as a single Timeseries Graph widget, or advanced with Radial Gauges, Text Charts, Linear Gauges, FFTs, Statistics, etc. Since SensorCloud allows you to upload as much data as you want, and LORD's sensors can sample at very high rates, it was important to be able to quickly visualize massive amounts of data. We struggled to find any application that could handle even a few gigabytes of data, so we started from the ground up with our own unique algorithm.

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.

EOfactory allows you to use your own data, or subscribe to our data delivery services. Our platform supports multi public and private data sources that can be used to analyze and extract information. EOfactory allows for the preparation of analysis-ready data with ease, using our ARD toolkit. You no longer need to spend time on data processing; now you can focus on getting the best results. EOfactory allows you to build your own time models through interactive AI/ML tools to help you create the best EO machine learning models. EOfactory has a variety of pre-built models, developed by subject matter experts and are tailored to specific geographic regions. Democratizing earth observation intelligence for a sustainable future. Develop customized UI/ UX with our studio and create an intuitive dashboard to visualize your results. Cloud removal, cloud shadow removal, machine learning downscale, slope, down scale image, and image resampling.

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.

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.

Lodestar is a complete management suite for developing computer vision models from video data. Label hours of video using the world’s first real-time active learning data annotation platform and accelerate high-quality dataset and computer vision model creation. Automated data preparation allows you to drag and drop 10 hours of video into a single project. No data curation needed and multiple video formats supported. Continuous model training and a shared, managed dataset allow annotators and data scientists to collaborate and create a functional object detection model in an hour. Unlimited labels with every plan.

Intel® DevCloud offers complimentary access to a wide range of Intel® architectures to help you get instant hands-on experience with Intel® software and execute your edge, AI, high-performance computing (HPC), and rendering workloads. With preinstalled Intel® optimized frameworks, tools, and libraries, you have everything you need to fast-track your learning and project prototyping. Learn, prototype, test, and run your workloads for free on a cluster of the latest Intel® hardware and software. Learn through a new suite of curated experiences, including market vertical samples, Jupyter Notebook tutorials, and more. Build your solution in JupyterLab and test with bare metal or develop your containerized solution. Quickly bring it to Intel DevCloud for testing. Optimize your solution for a specific target edge device with the deep learning workbench and take advantage of the new, more robust telemetry dashboard.

Take control of your‍ product analytics, and self-service optimization with no-ETL integration. Third parties own your precious data. Blackbox solution processes your data and hides how metrics are computed. Siloed analytics practices make your insights impossible to reconcile. No retrospective analysis, no data backfill. No self-service, non-exploratory analytics leads to communication gaps and delays. Kubit’s no-ETL platform works directly with your existing data model and enables self-service product analytics to drive engagement and improve retention. Out-of-the-box ready templates for query, funnel, path, retention, and cohort analyses. Designed for all product people to explore data and discover instant insights. Kubit works directly with your cloud data warehouse without the need for SDK or ETL jobs. We take full advantage of the rich data model you have already built. Detect anomalies and find answers quickly through our machine learning-based algorithms.

The single development environment for the entire data science workflow. Natively analyze your data with a reduction in context switching between services. Data to training at scale. Build and train models 5X faster, compared to traditional notebooks. Scale-up model development with simple connectivity to Vertex AI services. Simplified access to data and in-notebook access to machine learning with BigQuery, Dataproc, Spark, and Vertex AI integration. Take advantage of the power of infinite computing with Vertex AI training for experimentation and prototyping, to go from data to training at scale. Using Vertex AI Workbench you can implement your training, and deployment workflows on Vertex AI from one place. A Jupyter-based fully managed, scalable, enterprise-ready compute infrastructure with security controls and user management capabilities. Explore data and train ML models with easy connections to Google Cloud's big data solutions.

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.

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.

Akira AI gives best-in-class explainability, accuracy, scalability, stability, and speed in their application. Provide transparent, robust, trustworthy, and fair applications with responsible AI. Transforming the way enterprise work with end-to-end model deployment, computer vision techniques and machine learning solutions. Enable actionable insights to solve business-impacting ML model issues. Build compliant and responsible AI systems with proactive bias monitoring capabilities. Explainable ML and quality management solutions that open the AI black box to understand and optimize the correct inner workings of the model. Intelligent automation-enabled processes reduce operational hindrances and optimize workforce productivity. Build AI-quality solutions that optimize, explain, and monitor ML models. Improve performance, transparency, and robustness. Improve AI outcomes and drive model performance by increasing model velocity.

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.

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.

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.

Voxel51 is the company behind FiftyOne, the open-source toolkit that enables you to build better computer vision workflows by improving the quality of your datasets and delivering insights about your models. Explore, search, and slice your datasets. Quickly find the samples and labels that match your criteria. Use FiftyOne’s tight integrations with public datasets like COCO, Open Images, and ActivityNet, or create your own datasets from scratch. Data quality is a key limiting factor in model performance. Use FiftyOne to identify, visualize, and correct your model’s failure modes. Annotation mistakes lead to bad models, but finding mistakes by hand isn’t scalable. FiftyOne helps automatically find and correct label mistakes so you can curate higher-quality datasets. Aggregate performance metrics and manual debugging don’t scale. Use the FiftyOne Brain to identify edge cases, mine new samples for training, and much more.

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.

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.

Powerful data engineering workflows, without the infrastructure headaches. Complex streaming, scheduling, and data backfill pipelines, are all defined in simple, composable Python. Make ETL a thing of the past, fetch all of your data in real-time, no matter how complex. Incorporate deep learning and LLMs into decisions alongside structured business data. Make better predictions with fresher data, don’t pay vendors to pre-fetch data you don’t use, and query data just in time for online predictions. Experiment in Jupyter, then deploy to production. Prevent train-serve skew and create new data workflows in milliseconds. Instantly monitor all of your data workflows in real-time; track usage, and data quality effortlessly. Know everything you computed and data replay anything. Integrate with the tools you already use and deploy to your own infrastructure. Decide and enforce withdrawal limits with custom hold times.

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.

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.