7 Integrations with DashboardGPT
View a list of DashboardGPT integrations and software that integrates with DashboardGPT below. Compare the best DashboardGPT integrations as well as features, ratings, user reviews, and pricing of software that integrates with DashboardGPT. Here are the current DashboardGPT integrations in 2026:
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1
Google Analytics
Google
Get to know your customers. Get a deeper understanding of your customers. Google Analytics gives you the free tools you need to analyze data for your business in one place. Google Analytics 4 (GA4) is the latest iteration of Google’s analytics platform, designed to provide a deeper and more comprehensive understanding of user behavior across websites and apps. Built with a privacy-centric approach, GA4 leverages event-based tracking instead of session-based tracking, enabling more flexible and detailed data collection. It offers advanced features like cross-platform tracking, machine learning-powered insights, and predictive analytics to help businesses better understand customer journeys and make data-driven decisions. With improved integration with Google Ads and customizable reporting, GA4 empowers organizations to optimize their marketing strategies while adhering to evolving privacy regulations. -
2
Google Sheets
Google
Google Sheets is an AI-powered online spreadsheet platform designed to help individuals and teams organize, analyze, and visualize data collaboratively. The platform includes Gemini AI features that allow users to create formulas, generate trackers, analyze datasets, and build data visualizations using simple text prompts. Google Sheets supports real-time collaboration with live co-editing, comments, version history, and customizable sharing controls that help teams work together from any location. Users can streamline workflows with smart tables, pre-built templates, Connected Sheets for BigQuery and Looker data, and integrations with third-party applications such as Salesforce, Intuit, and Asana. The platform also enhances Microsoft Excel files by adding collaborative editing, intelligent suggestions, and task management capabilities directly within spreadsheets. -
3
Google Search Console
Google
Using Search Console tools and reports, you can measure your website's search traffic and performance, correct problems, and make your website stand out in Google Search results. Find out which queries lead users to your content, and analyze impressions, clicks, and your website's position in Google Search. Submit specific sitemaps and URLs for tracking. Check your index coverage to make sure Google knows the most recent version of your website. Receive email alerts when Google detects problems with your website. Check which URLs have been affected and notify Google when you have fixed them. The URL inspection tool provides detailed crawling, indexing and publishing information about your pages, which it gets directly from the Google index. Monitor, test, and control your AMP pages with Search Console tools and reports. Test and improve the mobile usability of your website with custom reports. -
4
Ollama
Ollama
Ollama is an innovative platform that focuses on providing AI-powered tools and services, designed to make it easier for users to interact with and build AI-driven applications. Run AI models locally. By offering a range of solutions, including natural language processing models and customizable AI features, Ollama empowers developers, businesses, and organizations to integrate advanced machine learning technologies into their workflows. With an emphasis on usability and accessibility, Ollama strives to simplify the process of working with AI, making it an appealing option for those looking to harness the potential of artificial intelligence in their projects.Starting Price: Free -
5
Apache Superset
Apache
Superset is fast, lightweight, intuitive, and loaded with options that make it easy for users of all skill sets to explore and visualize their data, from simple line charts to highly detailed geospatial charts. Superset can connect to any SQL based datasource through SQLAlchemy, including modern cloud native databases and engines at petabyte scale. Superset is lightweight and highly scalable, leveraging the power of your existing data infrastructure without requiring yet another ingestion layer. -
6
LM Studio
LM Studio
Use models through the in-app Chat UI or an OpenAI-compatible local server. Minimum requirements: M1/M2/M3 Mac, or a Windows PC with a processor that supports AVX2. Linux is available in beta. One of the main reasons for using a local LLM is privacy, and LM Studio is designed for that. Your data remains private and local to your machine. You can use LLMs you load within LM Studio via an API server running on localhost. -
7
vLLM
vLLM
vLLM is a high-performance library designed to facilitate efficient inference and serving of Large Language Models (LLMs). Originally developed in the Sky Computing Lab at UC Berkeley, vLLM has evolved into a community-driven project with contributions from both academia and industry. It offers state-of-the-art serving throughput by efficiently managing attention key and value memory through its PagedAttention mechanism. It supports continuous batching of incoming requests and utilizes optimized CUDA kernels, including integration with FlashAttention and FlashInfer, to enhance model execution speed. Additionally, vLLM provides quantization support for GPTQ, AWQ, INT4, INT8, and FP8, as well as speculative decoding capabilities. Users benefit from seamless integration with popular Hugging Face models, support for various decoding algorithms such as parallel sampling and beam search, and compatibility with NVIDIA GPUs, AMD CPUs and GPUs, Intel CPUs, and more.
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