Best AI tools for< Build Dashboard >

Onvo AI is an embedded data visualization platform that allows users to create interactive dashboards and data visualizations using simple AI prompts. It connects to various data sources, enabling users to build insightful charts and visualizations without the need for complex queries or manual data manipulation. Onvo AI offers customization options, allowing users to match their brand's identity and provides secure sharing and embedding features. It also includes analytics capabilities, enabling users to track dashboard usage and user engagement.

Hogwarts AI empowers users to effortlessly build dashboards and unlock valuable data insights without the need for SQL or complex data analytics tools. Trained on a vast repository of queries and patterns, Hogwarts AI seamlessly transforms product data into intuitive charts and summaries. Its diverse data integration capabilities allow for effortless connection to various sources, including Postgres, Snowflake, Salesforce, Stripe, and even Excel tables. The AI Copilot feature enables users to create visually compelling charts with text in minutes, eliminating the need for SQL and DAX queries. Hogwarts AI also provides intelligent chart recommendations to facilitate deeper insights and enables the generation of shareable charts for product documentation and executive reviews.

Amazon Q in QuickSight is a generative BI assistant that makes it easy to build and consume insights. With Amazon Q, BI users can build, discover, and share actionable insights and narratives in seconds using intuitive natural language experiences. Analysts can quickly build visuals and calculations and refine visuals using natural language. Business users can self-serve data and insights using natural language. Amazon Q is built with security and privacy in mind. It can understand and respect your existing governance identities, roles, and permissions and use this information to personalize its interactions. If a user doesn't have permission to access certain data without Amazon Q, they can't access it using Amazon Q either. Amazon Q in QuickSight is designed to meet the most stringent enterprise requirements from day one—none of your data or Amazon Q inputs and outputs are used to improve underlying models of Amazon Q for anyone but you.

VisualizeAI is a powerful AI-powered platform that helps businesses visualize and analyze their data. With VisualizeAI, you can easily create stunning data visualizations, dashboards, and reports that will help you make better decisions. VisualizeAI is perfect for businesses of all sizes, from startups to large enterprises. It is easy to use and affordable, and it can help you save time and money while improving your decision-making.

SaaS Pronto is a revolutionary AI-powered platform that enables users to quickly build their own Software as a Service (SaaS) startups without the hassle of manual setup. By automating tasks such as database configuration, authentication, landing page design, and payment integration, SaaS Pronto empowers entrepreneurs to focus on developing profitable features. The platform offers a beginner-friendly approach, minimal coding requirements, and rapid deployment, making it ideal for indie makers and startups looking to launch MVPs efficiently and cost-effectively.

Flowtrail AI is a powerful data analytics platform that simplifies reporting and amplifies insights for businesses. It allows users to effortlessly create insightful reports and dashboards from multiple databases without the need for SQL expertise. With features like AI-driven query building, natural language processing, and text-to-SQL conversion, Flowtrail AI transforms data into actionable insights, making data-driven decision-making more efficient and effective.

Infogram is an AI-powered platform that enables users to create interactive data visualizations, infographics, reports, maps, charts, tables, slides, and dashboards effortlessly. With a wide range of features such as AI chart recommendations, interactive content, embeds, custom maps, data import, and advanced editing tools, Infogram empowers users to craft compelling visual stories. The platform also offers content engagement analytics, real-time collaboration, and a brand kit for consistent branding. Trusted by over 10 million users worldwide, Infogram is a go-to tool for individuals, teams, and organizations looking to transform data into engaging visuals.

Polymer is a business intelligence (BI) tool that makes it easy to connect to your data, build visualizations, and share insights. With Polymer, you don't need to be a data analyst to create beautiful dashboards and interactive reports. Polymer's AI-powered features make it easy to get started, even if you're new to BI. With Polymer, you can:

Looker is a business intelligence platform that offers embedded analytics and AI-powered BI solutions. Leveraging Google's AI-led innovation, Looker delivers intelligent BI by combining foundational AI, cloud-first infrastructure, industry-leading APIs, and a flexible semantic layer. It allows users to build custom data experiences, transform data into integrated experiences, and create deeply integrated dashboards. Looker also provides a universal semantic modeling layer for unified, trusted data sources and offers self-service analytics capabilities through Looker and Looker Studio. Additionally, Looker features Gemini, an AI-powered analytics assistant that accelerates analytical workflows and offers a collaborative and conversational user experience.

InsightBase is a powerful AI-powered analytics platform that makes it easy for everyone to get insights from their data. With InsightBase, you can ask questions in plain English and get answers in seconds, build powerful dashboards and reports in minutes, and get the most out of your data with the least amount of time, money, and resources.

Latitude is an open-source framework for building interactive data apps using code. It provides a workspace for data analysts to streamline their workflow, connect to various data sources, perform data transformations, create visualizations, and collaborate with others. Latitude aims to simplify the data analysis process by offering features such as data snapshots, a data profiler, a built-in AI assistant, and tight integration with dbt.

Reform is a modern logistics software development platform that provides pre-built modules and AI capabilities to help teams build logistics applications quickly and efficiently. It offers features such as document AI for automating data capture, universal TMS integrations for seamless connectivity, embeddable customer dashboards for real-time data visibility, and more.

Equals is a next-generation analysis and reporting tool designed to help startups and businesses make better decisions with their data. It offers features such as live data connections, full-featured spreadsheets, and BI-grade dashboards. Equals bridges the gap between one-size-fits-all solutions and complex data platforms, providing users with a familiar and flexible environment for data exploration and reporting.

Outerbase is an AI-powered database platform that allows users to view, query, visualize, and edit their data. It features an AI Copilot, EZQL™, that can answer questions and generate SQL queries, a table editor that makes it easy to work with data, and a variety of plugins and themes to customize the experience. Outerbase integrates with most popular databases, including Postgres, MySQL, BigQuery, and Snowflake.

Walter Shields Data Academy is an AI-powered platform offering premium training in SQL, Python, and Excel. With over 200,000 learners, it provides curated courses from bestselling books and LinkedIn Learning. The academy aims to revolutionize data expertise and empower individuals to excel in data analysis and AI technologies.

Accio is a data modeling tool that allows users to define consistent relationships, metrics, and expressions for on-the-fly computations in reports and dashboards across various BI tools. It provides a syntax similar to GraphQL that allows users to define models, relationships, and metrics in a human-readable format. Accio also offers a user-friendly interface that provides data analysts with a holistic view of the relationships between their data models, enabling them to grasp the interconnectedness and dependencies within their data ecosystem. Additionally, Accio utilizes DuckDB as a caching layer to accelerate query performance for BI tools.

Upsolve AI is a customer-facing analytics service powered by AI that allows businesses to embed dashboard and business intelligence in their products for customers. It manages customer analytics, empowers users with product data insights, and provides out-of-the-box connections to popular databases. With features like building interactive analytics dashboards, creating custom charts, and offering self-service customization, Upsolve AI aims to help businesses make data-driven decisions and communicate values to stakeholders. The platform also offers easy deployment, theme customization, and AI-powered chart exploration for enhanced user experience.

Lazy AI is an AI tool that enables users to quickly build and modify web apps with prompts and deploy them to the cloud with just one click. Users can create various applications such as customer portals, API endpoints for AI text summarization, metrics dashboards, web scrapers, chatbots, and discord bots. The platform offers a wide range of template categories and tools for automation, data mining, AI agents, dashboards, reporting, and more. Users can also access reusable templates from the Lazy AI community to streamline their development process.

ML Clever is a no-code machine learning platform that empowers users to build powerful ML models with one click, explore what-if scenarios to guide decisions, and create interactive dashboards to explain results. It combines automated machine learning, interactive dashboards, and flexible prediction tools in one platform, allowing users to transform data into business insights without the need for data scientists or coding skills.

Build Club is an AI tool designed to help individuals learn and explore various aspects of artificial intelligence. The platform offers a wide range of courses, challenges, hackathons, and community projects to enhance users' AI skills. Users can build AI models for tasks like image and video generation, AI marketing, and creating AI agents. Build Club aims to create a collaborative learning environment for AI enthusiasts to grow their knowledge and skills in the field of artificial intelligence.

Quadratic is a modern multiplayer spreadsheet application that integrates Python, AI, and SQL functionalities. It aims to streamline team collaboration and data analysis by enabling users to pull data from various sources and utilize popular data science tools. The application supports building dashboards, creating internal tools, mixing data from different sources, exploring data for insights, visualizing Python workflows, and facilitating collaboration between technical and non-technical team members. Quadratic is built with Rust + WASM + WebGL to ensure seamless performance in the browser, and it offers features like WebGL Grid, local file management, Python and Pandas support, Excel formula support, multiplayer capabilities, charts and graphs, and team support. The tool is currently in Beta with ongoing development for additional features like JS support, SQL database support, and AI auto-complete.

Buster is a modern analytics platform designed with AI in mind, focusing on self-serve experiences powered by Large Language Models. It addresses pain points in existing tools by advocating for AI-centric app development, cost-effective data warehousing, improved CI/CD processes, and empowering data teams to create powerful, user-friendly data experiences. The platform aims to revolutionize AI analytics by enabling data teams to build deep integrations and own their entire analytics stack.

SuperSonic is a next-generation BI platform that integrates Chat BI (powered by LLM) and Headless BI (powered by semantic layer) paradigms. This integration ensures that Chat BI has access to the same curated and governed semantic data models as traditional BI. Furthermore, the implementation of both paradigms benefits from the integration: * Chat BI's Text2SQL gets augmented with context-retrieval from semantic models. * Headless BI's query interface gets extended with natural language API. SuperSonic provides a Chat BI interface that empowers users to query data using natural language and visualize the results with suitable charts. To enable such experience, the only thing necessary is to build logical semantic models (definition of metric/dimension/tag, along with their meaning and relationships) through a Headless BI interface. Meanwhile, SuperSonic is designed to be extensible and composable, allowing custom implementations to be added and configured with Java SPI. The integration of Chat BI and Headless BI has the potential to enhance the Text2SQL generation in two dimensions: 1. Incorporate data semantics (such as business terms, column values, etc.) into the prompt, enabling LLM to better understand the semantics and reduce hallucination. 2. Offload the generation of advanced SQL syntax (such as join, formula, etc.) from LLM to the semantic layer to reduce complexity. With these ideas in mind, we develop SuperSonic as a practical reference implementation and use it to power our real-world products. Additionally, to facilitate further development we decide to open source SuperSonic as an extensible framework.

Defog's SQLCoder is a family of state-of-the-art large language models (LLMs) designed for converting natural language questions into SQL queries. It outperforms popular open-source models like gpt-4 and gpt-4-turbo on SQL generation tasks. SQLCoder has been trained on more than 20,000 human-curated questions based on 10 different schemas, and the model weights are licensed under CC BY-SA 4.0. Users can interact with SQLCoder through the 'transformers' library and run queries using the 'sqlcoder launch' command in the terminal. The tool has been tested on NVIDIA GPUs with more than 16GB VRAM and Apple Silicon devices with some limitations. SQLCoder offers a demo on their website and supports quantized versions of the model for consumer GPUs with sufficient memory.

SuperKnowa is a fast framework to build Enterprise RAG (Retriever Augmented Generation) Pipelines at Scale, powered by watsonx. It accelerates Enterprise Generative AI applications to get prod-ready solutions quickly on private data. The framework provides pluggable components for tackling various Generative AI use cases using Large Language Models (LLMs), allowing users to assemble building blocks to address challenges in AI-driven text generation. SuperKnowa is battle-tested from 1M to 200M private knowledge base & scaled to billions of retriever tokens.

This repository provides a deployment guide for utilizing Google Cloud's Generative AI tools in marketing scenarios. It includes step-by-step instructions, examples of crafting marketing materials, and supplementary Jupyter notebooks. The demos cover marketing insights, audience analysis, trendspotting, content search, content generation, and workspace integration. Users can access and visualize marketing data, analyze trends, improve search experience, and generate compelling content. The repository structure includes backend APIs, frontend code, sample notebooks, templates, and installation scripts.

Helicone is an open-source observability platform designed for Language Learning Models (LLMs). It logs requests to OpenAI in a user-friendly UI, offers caching, rate limits, and retries, tracks costs and latencies, provides a playground for iterating on prompts and chat conversations, supports collaboration, and will soon have APIs for feedback and evaluation. The platform is deployed on Cloudflare and consists of services like Web (NextJs), Worker (Cloudflare Workers), Jawn (Express), Supabase, and ClickHouse. Users can interact with Helicone locally by setting up the required services and environment variables. The platform encourages contributions and provides resources for learning, documentation, and integrations.

An integration for Home Assistant that leverages AI models to understand your unique home environment and propose intelligent automations. By analyzing your entities, devices, areas, and existing automations, the AI Automation Suggester helps you discover new, context-aware use cases you might not have considered, ultimately streamlining your home management and improving efficiency, comfort, and convenience. The tool acts as a personal automation consultant, providing actionable YAML-based automations that can save energy, improve security, enhance comfort, and reduce manual intervention. It turns the complexity of a large Home Assistant environment into actionable insights and tangible benefits.

The `amazon-q-developer-cli` monorepo houses core code for the Amazon Q Developer desktop app and CLI. It includes projects like autocomplete, dashboard, figterm, q CLI, fig_desktop, fig_input_method, VSCode plugin, and JetBrains plugin. The repo also contains build scripts, internal rust crates, internal npm packages, protocol buffer message specification, and integration tests. The architecture involves different components communicating via IPC.

Tiledesk is an open-source live chat platform with integrated chatbots written in Node.js and Express. It is designed to be a multi-channel platform for web, Android, and iOS, and it can be used to increase sales or provide post-sales customer service. Tiledesk's chatbot technology allows for automation of conversations, and it also provides APIs and webhooks for connecting external applications. Additionally, it offers a marketplace for apps and features such as CRM, ticketing, and data export.

Qiaoqiaoyun is a new generation zero-code product that combines an AI application development platform, AI knowledge base, and zero-code platform, helping enterprises quickly build personalized business applications in an AI way. Users can build personalized applications that meet business needs without any code. Qiaoqiaoyun has comprehensive application building capabilities, form engine, workflow engine, and dashboard engine, meeting enterprise's normal requirements. It is also an AI application development platform based on LLM large language model and RAG open-source knowledge base question-answering system.

AgentNeo is an advanced, open-source Agentic AI Application Observability, Monitoring, and Evaluation Framework designed to provide deep insights into AI agents, Large Language Model (LLM) calls, and tool interactions. It offers robust logging, visualization, and evaluation capabilities to help debug and optimize AI applications with ease. With features like tracing LLM calls, monitoring agents and tools, tracking interactions, detailed metrics collection, flexible data storage, simple instrumentation, interactive dashboard, project management, execution graph visualization, and evaluation tools, AgentNeo empowers users to build efficient, cost-effective, and high-quality AI-driven solutions.

A Pythonic framework to simplify AI service building. The LeptonAI Python library allows you to build an AI service from Python code with ease. Key features include a Pythonic abstraction Photon, simple abstractions to launch models like those on HuggingFace, prebuilt examples for common models, AI tailored batteries, a client to automatically call your service like native Python functions, and Pythonic configuration specs to be readily shipped in a cloud environment.

Archon is an AI meta-agent designed to autonomously build, refine, and optimize other AI agents. It serves as a practical tool for developers and an educational framework showcasing the evolution of agentic systems. Through iterative development, Archon demonstrates the power of planning, feedback loops, and domain-specific knowledge in creating robust AI agents.

Cube is a semantic layer for building data applications, helping data engineers and application developers access data from modern data stores, organize it into consistent definitions, and deliver it to every application. It works with SQL-enabled data sources, providing sub-second latency and high concurrency for API requests. Cube addresses SQL code organization, performance, and access control issues in data applications, enabling efficient data modeling, access control, and performance optimizations for various tools like embedded analytics, dashboarding, reporting, and data notebooks.

Air is a live-reloading command line utility for developing Go applications. It provides colorful log output, allows customization of build or any command, supports excluding subdirectories, and allows watching new directories after Air has started. Air can be installed via `go install`, `install.sh`, `goblin.run`, or Docker/Podman. To use Air, simply run `air` in your project root directory and leave it alone to focus on your code. Air has nothing to do with hot-deploy for production.

Julep is an advanced platform for creating stateful and functional AI apps powered by large language models. It offers features like statefulness by design, automatic function calling, production-ready deployment, cron-like asynchronous functions, 90+ built-in tools, and the ability to switch between different LLMs easily. Users can build AI applications without the need to write code for embedding, saving, and retrieving conversation history, and can connect to third-party applications using Composio. Julep simplifies the process of getting started with AI apps, whether they are conversational, functional, or agentic.

Vocode is an open source library that enables users to easily build voice-based LLM (Large Language Model) apps. With Vocode, users can create real-time streaming conversations with LLMs and deploy them for phone calls, Zoom meetings, and more. The library offers abstractions and integrations for transcription services, LLMs, and synthesis services, making it a comprehensive tool for voice-based applications.

Sematic is an open-source ML development platform that allows ML Engineers and Data Scientists to write complex end-to-end pipelines with Python. It can be executed locally, on a cloud VM, or on a Kubernetes cluster. Sematic enables chaining data processing jobs with model training into reproducible pipelines that can be monitored and visualized in a web dashboard. It offers features like easy onboarding, local-to-cloud parity, end-to-end traceability, access to heterogeneous compute resources, and reproducibility.

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