Business Software for Kaggle

Shift is the first fully customizable browser that empowers you to make the most of your life online. Shift allows you to drag and drop apps, bars, and controls, to create a central hub that adapts to however you work. Sign into 1,500+ web apps, swap instantly between Spaces for work, side hustles or personal browsing, and stay logged into multiple accounts at once. In addition, Shift is proudly pioneering carbon-neutral browsing as part of its promise to reimagine what browsers can do—not only for users, but for the planet. Founded in 2016 in Victoria, British Columbia, Shift is a Certified B Corp within the Redbrick portfolio. Key capabilities & features - Build your browser: Create a custom layout for how you use the internet. - Create Spaces: Create separation between work, side hustles, and passion projects. - Integrate Apps: Add web apps to Shift to customize its capability. - Templates: Choose from 6 different layouts to build on.

Rambox is a digital workspace organizer that boosts productivity for professionals who use web apps frequently. It centralizes all your apps, making it easy to organize and access frequently used applications in one place. With over 700 pre-configured apps, including Gmail, WhatsApp, Facebook, iCloud, and more, you can instantly add them to your workspace. And if your app isn't listed, no problem - you can add any custom app in a few easy steps. Rambox synchronizes app configurations and can disable notifications across all devices in the user dashboard, automatically hibernating inactive apps to free up memory. Plus, users can apply CSS styling and JS code to improve each app's design and performance. Other features include: dark mode, do not disturb mode, spell checking, ad blocking, password management, notification management, and keyboard shortcuts.

G Suite just got better — introducing Google Workspace (formerly G Suite). Everything you need to get anything done, now in one place. An integrated workspace that’s simple to use, Google Workspace lets you spend less time managing your work and more time actually doing it. Address what’s important and let Google handle the rest with best-in-class AI and search technology that helps you work smarter. Work from anywhere, on any device – even offline – with tools to help you integrate, customize, and extend Google Workspace to meet your team’s unique needs. Similar to G Suite, all Google Workspace plans provide a custom email for your business and includes collaboration tools like Gmail, Calendar, Meet, Chat, Drive, Docs, Sheets, Slides, Forms, Sites, and more. We have a variety of plans that are designed to meet your unique business needs. Discover which plan best fits your business needs on our plans and pricing page.

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.

Qwen2.5 is an advanced multimodal AI model designed to provide highly accurate and context-aware responses across a wide range of applications. It builds on the capabilities of its predecessors, integrating cutting-edge natural language understanding with enhanced reasoning, creativity, and multimodal processing. Qwen2.5 can seamlessly analyze and generate text, interpret images, and interact with complex data to deliver precise solutions in real time. Optimized for adaptability, it excels in personalized assistance, data analysis, creative content generation, and academic research, making it a versatile tool for professionals and everyday users alike. Its user-centric design emphasizes transparency, efficiency, and alignment with ethical AI practices.

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.

AIxBlock: The first unified and decentralized platform for end-to-end AI development and workflow automation - built natively on MCP. AIxBlock is a MCP-based, decentralized end-to-end AI development and workflow automation platform purpose-built for AI engineer teams. It empowers users to build, train, deploy AI models and build AI automation workflows using those models through a unified environment that integrates decentralized compute, models, datasets, and labeling resources - all at a fraction of the traditional cost. AIxBlock is the modular AI ecosystem - purpose-built for custom model creation, workflow automation, and open interoperability across MCP client tools like Cursor, Claude, WindSurf, etc.

Unsloth is an open source platform designed to accelerate and optimize the fine-tuning and training of Large Language Models (LLMs). It enables users to train custom models, such as ChatGPT, in just 24 hours instead of the typical 30 days, achieving speeds up to 30 times faster than Flash Attention 2 (FA2) while using 90% less memory. Unsloth supports both LoRA and QLoRA fine-tuning techniques, allowing for efficient customization of models like Mistral, Gemma, and Llama versions 1, 2, and 3. Unsloth's efficiency stems from manually deriving computationally intensive mathematical steps and handwriting GPU kernels, resulting in significant performance gains without requiring hardware modifications. Unsloth delivers a 10x speed increase on a single GPU and up to 32x on multi-GPU systems compared to FA2, with compatibility across NVIDIA GPUs from Tesla T4 to H100, and portability to AMD and Intel GPUs.

Qwen3, the latest iteration of the Qwen family of large language models, introduces groundbreaking features that enhance performance across coding, math, and general capabilities. With models like the Qwen3-235B-A22B and Qwen3-30B-A3B, Qwen3 achieves impressive results compared to top-tier models, thanks to its hybrid thinking modes that allow users to control the balance between deep reasoning and quick responses. The platform supports 119 languages and dialects, making it an ideal choice for global applications. Its pre-training process, which uses 36 trillion tokens, enables robust performance, and advanced reinforcement learning (RL) techniques continue to refine its capabilities. Available on platforms like Hugging Face and ModelScope, Qwen3 offers a powerful tool for developers and researchers working in diverse fields.

Devstral is an open source, agentic large language model (LLM) developed by Mistral AI in collaboration with All Hands AI, specifically designed for software engineering tasks. It excels at navigating complex codebases, editing multiple files, and resolving real-world issues, outperforming all open source models on the SWE-Bench Verified benchmark with a score of 46.8%. Devstral is fine-tuned from Mistral-Small-3.1 and features a long context window of up to 128,000 tokens. It is optimized for local deployment on high-end hardware, such as a Mac with 32GB RAM or an Nvidia RTX 4090 GPU, and is compatible with inference frameworks like vLLM, Transformers, and Ollama. Released under the Apache 2.0 license, Devstral is available for free and can be accessed via Hugging Face, Ollama, Kaggle, Unsloth, and LM Studio.

The entire process of building machine learning algorithms and predicting outcomes, packed in one single click. Not all data is built to be ready for ML, use the Data Dialog to seamlessly shape your dataset without wrangling your files. Share your prediction reports with your team or make them public. Allow anyone to start making predictions on your model. Bring dynamic ML predictions into your own app using our low-code API. Predict willingness to pay, score leads and much more in real-time. Obviously AI puts the world’s most cutting-edge algorithms in your hands, without compromising on performance. Forecast revenue, optimize supply chain, personalize marketing. You can now know what happens next. Add a CSV file OR integrate with your favorite data sources in minutes. Pick your prediction column from a dropdown, we'll auto build the AI. Beautifully visualize predicted results, top drivers and simulate "what-if" scenarios.

Uncover top talent on LinkedIn, GitHub, Stack Overflow, with QSourcer's AI-powered Boolean search. Discover how QSourcer makes talent sourcing efficient, fun, and much easier. QSourcer uses AI to make writing Boolean search queries easier. It identifies key terms and suggests industry-specific synonyms, ensuring accurate searches on all major job platforms. This helps you find the best talent profiles quickly. Extracts essential keywords from job titles and descriptions, offering industry-specific synonyms and alternative terms for accurate Boolean search queries. Generates search queries for all major platforms, enabling direct platform searches or Google X-ray searches with one click. Detects the language of job titles and descriptions, creating search keywords to simplify finding candidates in any language. Copy and paste your job title and description into the provided form fields. Optionally, select the folder where you want to save the job for future reference.

DagsHub is a collaborative platform designed for data scientists and machine learning engineers to manage and streamline their projects. It integrates code, data, experiments, and models into a unified environment, facilitating efficient project management and team collaboration. Key features include dataset management, experiment tracking, model registry, and data and model lineage, all accessible through a user-friendly interface. DagsHub supports seamless integration with popular MLOps tools, allowing users to leverage their existing workflows. By providing a centralized hub for all project components, DagsHub enhances transparency, reproducibility, and efficiency in machine learning development. DagsHub is a platform for AI and ML developers that lets you manage and collaborate on your data, models, and experiments, alongside your code. DagsHub was particularly designed for unstructured data for example text, images, audio, medical imaging, and binary files.

Gemma 3, introduced by Google, is a new AI model built on the Gemini 2.0 architecture, designed to offer enhanced performance and versatility. This model is capable of running efficiently on a single GPU or TPU, making it accessible for a wide range of developers and researchers. Gemma 3 focuses on improving natural language understanding, generation, and other AI-driven tasks. By offering scalable, powerful AI capabilities, Gemma 3 aims to advance the development of AI systems across various industries and use cases.

The fastest way to integrate APIs and run code. Pipedream is a serverless integration and compute platform that makes it easy to connect apps and develop event-driven workflows. Event sources turn any API into a real-time event stream. Create event sources to listen for new Tweets, Github events, Airtable records, RSS items, webhook events and more. Inspect events in a human-friendly way, trigger Node.js workflows on every event, or consume events in your own app via API. Workflows are composed of Node.js code steps that run on every event. Write your own Node.js (and use any npm package) or reuse actions that scaffold popular APIs. Trigger via sources or a custom URL, email address, SDK code or schedule. Auth apps once, connect to those apps in any workflow. Pipedream supports OAuth and key-based auth, and handles the OAuth flow and token refresh for you. Just link accounts to steps and reference the relevant auth info in code.

Enhance your outreach with dynamic variables such as time of day, a fun fact or field of study, helping to deliver a highly personalized communication experience. Stand out in busy inboxes with some ‘out-of-the-box’ content that is unique to your target individual. Get creative with custom images, gifs, videos and more to inject some personality into your messages and stand out from your competitors. Create multistep outreach that combines channels like email, LinkedIn, phone calls, SMS and more. Not only will you tap into a wider audience with an integrated, tailored approach, but you’ll never miss an opportunity with automated follow-ups. Once live, outreach runs alongside day-to-day activities so you can refocus time on the more human parts of recruiting.

A family of state-of-the-art, light-open models created from the same research and technology that were used to create Gemini models. These models incorporate comprehensive security measures and help ensure responsible and reliable AI solutions through selected data sets and rigorous adjustments. Gemma models achieve exceptional comparative results in their 2B, 7B, 9B, and 27B sizes, even outperforming some larger open models. With Keras 3.0, enjoy seamless compatibility with JAX, TensorFlow, and PyTorch, allowing you to effortlessly choose and change frameworks based on task. Redesigned to deliver outstanding performance and unmatched efficiency, Gemma 2 is optimized for incredibly fast inference on various hardware. The Gemma family of models offers different models that are optimized for specific use cases and adapt to your needs. Gemma models are large text-to-text lightweight language models with a decoder, trained in a huge set of text data, code, and mathematical content.

PaliGemma 2, the next evolution in tunable vision-language models, builds upon the performant Gemma 2 models, adding the power of vision and making it easier than ever to fine-tune for exceptional performance. With PaliGemma 2, these models can see, understand, and interact with visual input, opening up a world of new possibilities. It offers scalable performance with multiple model sizes (3B, 10B, 28B parameters) and resolutions (224px, 448px, 896px). PaliGemma 2 generates detailed, contextually relevant captions for images, going beyond simple object identification to describe actions, emotions, and the overall narrative of the scene. Our research demonstrates leading performance in chemical formula recognition, music score recognition, spatial reasoning, and chest X-ray report generation, as detailed in the technical report. Upgrading to PaliGemma 2 is a breeze for existing PaliGemma users.

CodeGemma is a collection of powerful, lightweight models that can perform a variety of coding tasks like fill-in-the-middle code completion, code generation, natural language understanding, mathematical reasoning, and instruction following. CodeGemma has 3 model variants, a 7B pre-trained variant that specializes in code completion and generation from code prefixes and/or suffixes, a 7B instruction-tuned variant for natural language-to-code chat and instruction following; and a state-of-the-art 2B pre-trained variant that provides up to 2x faster code completion. Complete lines, and functions, and even generate entire blocks of code, whether you're working locally or using Google Cloud resources. Trained on 500 billion tokens of primarily English language data from web documents, mathematics, and code, CodeGemma models generate code that's not only more syntactically correct but also semantically meaningful, reducing errors and debugging time.