Best AI tools for< Create Dashboards >

Streamlit is a web application framework that allows data scientists and machine learning engineers to create interactive web applications easily using Python. It simplifies the process of building and sharing data-focused applications, enabling users to visualize data, create dashboards, and deploy machine learning models without the need for extensive web development knowledge.

Streamlit is a platform that allows users to easily create web applications for machine learning and data science projects. It provides a simple and intuitive way to build interactive and customizable apps without the need for extensive web development knowledge. With Streamlit, users can visualize data, create dashboards, and share their projects with others seamlessly.

Streamlit is a web application framework that allows data scientists and machine learning engineers to create interactive web applications quickly and easily. With Streamlit, users can build data-driven applications using simple Python scripts without the need for web development expertise. The platform provides a seamless way to showcase data visualizations, machine learning models, and other data science projects in a user-friendly and interactive manner.

Veezoo is a self-service analytics platform that uses AI and a semantic layer to make data accessible and understandable to everyone in an organization. It allows users to ask questions about their data in plain English and get instant insights. Veezoo also provides features such as dashboards, collaboration tools, and data governance to help businesses make better use of their data.

NLSQL is a B2B SaaS tool that empowers employees with an intuitive text interface to inform and speed up business decisions with significant benefits for enterprises. It works as the first NLP to SQL API, which doesn't require any sensitive or confidential data transfer outside the corporate IT ecosystem. NLSQL supports integrations to all main database types and corporate messengers, which helps drive businesses forward faster with data-driven business decisions.

Fluent is an AI-powered data analytics platform that helps businesses explore their data and uncover insights. It uses natural language processing to understand user questions and generate SQL queries to retrieve data from a variety of sources. Fluent also provides visualizations and dashboards to help users understand their data and make informed decisions.

Qubinets is a cloud data environment solutions platform that provides building blocks for building big data, AI, web, and mobile environments. It is an open-source, no lock-in, secured, and private platform that can be used on any cloud, including AWS, Digital Ocean, Google Cloud, and Microsoft Azure. Qubinets makes it easy to plan, build, and run data environments, and it streamlines and saves time and money by reducing the grunt work in setup and provisioning.

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.

Propellor is a data analytics platform that helps businesses unify and activate their data. It offers a variety of features, including dashboards, templates, data apps, and connectors. Propellor is designed to be easy to use, even for non-technical users. It can be used to analyze data from a variety of sources, including webstores, marketing apps, social media, and CRM systems. Propellor can help businesses improve their decision-making, identify growth opportunities, and prove the impact of their marketing campaigns.

Luzmo is a customer-facing analytics platform for SaaS companies. It provides embedded analytics, embedded dashboard editor, and Luzmo AI to help businesses make better decisions with data. Luzmo is easy to use, scalable, and affordable, making it a great choice for businesses of all sizes.

Streamlit is an open-source Python library that makes it easy to create and share beautiful and interactive web apps for data science and machine learning.

Supertype is a full-cycle data science consultancy offering a range of services including computer vision, custom BI development, managed data analytics, programmatic report generation, and more. They specialize in providing tailored solutions for data analytics, business intelligence, and data engineering services. Supertype also offers services for developing custom web dashboards, computer vision research and development, PDF generation, managed analytics services, and LLM development. Their expertise extends to implementing data science in various industries such as e-commerce, mobile apps & games, and financial markets. Additionally, Supertype provides bespoke solutions for enterprises, advisory and consulting services, and an incubator platform for data scientists and engineers to work on real-world projects.

Digital Analyst Team is an AI-powered digital media automation platform that offers a suite of services for digital agencies. The platform provides automation solutions for various digital media operations, including paid search, SEO, social media, website development, campaign management, workflow automation, marketing automation, analytics, and dashboards. With a focus on AI and machine learning capabilities, Digital Analyst Team aims to streamline and optimize digital media campaigns for agencies, allowing them to focus on strategic growth and client satisfaction. The platform also offers custom software development services and resources such as blogs, case studies, and contact information.

Deepnote is an AI-powered analytics and data science notebook platform designed for teams. It allows users to turn notebooks into powerful data apps and dashboards, combining Python, SQL, R, or even working without writing code at all. With Deepnote, users can query various data sources, generate code, explain code, and create interactive visualizations effortlessly. The platform offers features like collaborative workspaces, scheduling notebooks, deploying APIs, and integrating with popular data warehouses and databases. Deepnote prioritizes security and compliance, providing users with control over data access and encryption. It is loved by a community of data professionals and widely used in universities and by data analysts and scientists.

DataBrain is an AI-powered embedded analytics platform that enables product teams to create and share beautiful dashboards with customers, vendors, and partners. It helps generate insights to drive business outcomes by providing self-serve analytics capabilities, reducing ad-hoc reporting requests, and enabling easy access and sharing of insights across various platforms. With features like modular SDK, white-labeled dashboards, and enterprise security, DataBrain offers a comprehensive solution for crafting end-user analytics experiences. The platform prioritizes data security, offering end-to-end encryption and compliance with industry standards like SOC 2 and ISO 27001.

The Radicalbit AI Monitoring Platform provides a comprehensive solution for monitoring Machine Learning and Large Language models in production. It helps proactively identify and address potential performance issues by analyzing data quality, model quality, and model drift. The repository contains files and projects for running the platform, including UI, API, SDK, and Spark components. Installation using Docker compose is provided, allowing deployment with a K3s cluster and interaction with a k9s container. The platform documentation includes a step-by-step guide for installation and creating dashboards. Community engagement is encouraged through a Discord server. The roadmap includes adding functionalities for batch and real-time workloads, covering various model types and tasks.

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BionicGPT is an on-premise replacement for ChatGPT, offering the advantages of Generative AI while maintaining strict data confidentiality. BionicGPT can run on your laptop or scale into the data center.

AzureOpenAI-with-APIM is a repository that provides a one-button deploy solution for Azure API Management (APIM), Key Vault, and Log Analytics to work seamlessly with Azure OpenAI endpoints. It enables organizations to scale and manage their Azure OpenAI service efficiently by issuing subscription keys via APIM, delivering usage metrics, and implementing policies for access control and cost management. The repository offers detailed guidance on implementing APIM to enhance Azure OpenAI resiliency, scalability, performance, monitoring, and chargeback capabilities.

Nile is a serverless Postgres database designed for modern SaaS applications. It virtualizes tenants/customers/organizations into Postgres to enable native tenant data isolation, performance isolation, per-tenant backups, and tenant placement on shared or dedicated compute globally. With Nile, you can manage multiple tenants effortlessly, without complex permissions or buggy scripts. Additionally, it offers opt-in user management capabilities, customer-specific vector embeddings, and instant tenant admin dashboards. Built for the cloud, Nile provides a true serverless experience with effortless scaling.

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.

ClearML Serving is a command line utility for model deployment and orchestration, enabling model deployment including serving and preprocessing code to a Kubernetes cluster or custom container based solution. It supports machine learning models like Scikit Learn, XGBoost, LightGBM, and deep learning models like TensorFlow, PyTorch, ONNX. It provides a customizable RestAPI for serving, online model deployment, scalable solutions, multi-model per container, automatic deployment, canary A/B deployment, model monitoring, usage metric reporting, metric dashboard, and model performance metrics. ClearML Serving is modular, scalable, flexible, customizable, and open source.

Synmetrix (prev. MLCraft) is an open source data engineering platform and semantic layer for centralized metrics management. It provides a complete framework for modeling, integrating, transforming, aggregating, and distributing metrics data at scale. Key features include data modeling and transformations, semantic layer for unified data model, scheduled reports and alerts, versioning, role-based access control, data exploration, caching, and collaboration on metrics modeling. Synmetrix leverages Cube (Cube.js) for flexible data models that consolidate metrics from various sources, enabling downstream distribution via a SQL API for integration into BI tools, reporting, dashboards, and data science. Use cases include data democratization, business intelligence, embedded analytics, and enhancing accuracy in data handling and queries. The tool speeds up data-driven workflows from metrics definition to consumption by combining data engineering best practices with self-service analytics capabilities.

The Looker GenAI Extension provides code examples and resources for building a Looker Extension that integrates with Vertex AI Large Language Models (LLMs). Users can leverage the power of LLMs to enhance data exploration and analysis within Looker. The extension offers generative explore functionality to ask natural language questions about data and generative insights on dashboards to analyze data by asking questions. It leverages components like BQML Remote Models, BQML Remote UDF with Vertex AI, and Custom Fine Tune Model for different integration options. Deployment involves setting up infrastructure with Terraform and deploying the Looker Extension by creating a Looker project, copying extension files, configuring BigQuery connection, connecting to Git, and testing the extension. Users can save example prompts and configure user settings for the extension. Development of the Looker Extension environment includes installing dependencies, starting the development server, and building for production.

Azure OpenAI Service is a central capability with Azure API Management, providing guidance and tools for organizations to implement Azure OpenAI in a production environment with an emphasis on cost control, secure access, and usage monitoring. It includes infrastructure-as-code templates, CI/CD pipelines, secure access management, usage monitoring, load balancing, streaming requests, and end-to-end samples like ChatApp and Azure Dashboards.

Middleware is an open-source engineering management tool that helps engineering leaders measure and analyze team effectiveness using DORA metrics. It integrates with CI/CD tools, automates DORA metric collection and analysis, visualizes key performance indicators, provides customizable reports and dashboards, and integrates with project management platforms. Users can set up Middleware using Docker or manually, generate encryption keys, set up backend and web servers, and access the application to view DORA metrics. The tool calculates DORA metrics using GitHub data, including Deployment Frequency, Lead Time for Changes, Mean Time to Restore, and Change Failure Rate. Middleware aims to provide DORA metrics to users based on their Git data, simplifying the process of tracking software delivery performance and operational efficiency.

Neptune is a scalable experiment tracker for teams training foundation models. Log millions of runs, effortlessly monitor and visualize model training, and deploy on your infrastructure. Track 100% of metadata to accelerate AI breakthroughs. Log and display any framework and metadata type from any ML pipeline. Organize experiments with nested structures and custom dashboards. Compare results, visualize training, and optimize models quicker. Version models, review stages, and access production-ready models. Share results, manage users, and projects. Integrate with 25+ frameworks. Trusted by great companies to improve workflow.

AirbyteServerless is a lightweight tool designed to simplify the management of Airbyte connectors. It offers a serverless mode for running connectors, allowing users to easily move data from any source to their data warehouse. Unlike the full Airbyte-Open-Source-Platform, AirbyteServerless focuses solely on the Extract-Load process without a UI, database, or transform layer. It provides a CLI tool, 'abs', for managing connectors, creating connections, running jobs, selecting specific data streams, handling secrets securely, and scheduling remote runs. The tool is scalable, allowing independent deployment of multiple connectors. It aims to streamline the connector management process and provide a more agile alternative to the comprehensive Airbyte platform.

Synmetrix is an open source data engineering platform and semantic layer for centralized metrics management. It provides a complete framework for modeling, integrating, transforming, aggregating, and distributing metrics data at scale. Key features include data modeling and transformations, semantic layer for unified data model, scheduled reports and alerts, versioning, role-based access control, data exploration, caching, and collaboration on metrics modeling. Synmetrix leverages Cube.js to consolidate metrics from various sources and distribute them downstream via a SQL API. Use cases include data democratization, business intelligence and reporting, embedded analytics, and enhancing accuracy in data handling and queries. The tool speeds up data-driven workflows from metrics definition to consumption by combining data engineering best practices with self-service analytics capabilities.

TigerGraph CoPilot is an AI assistant that combines graph databases and generative AI to enhance productivity across various business functions. It includes three core component services: InquiryAI for natural language assistance, SupportAI for knowledge Q&A, and QueryAI for GSQL code generation. Users can interact with CoPilot through a chat interface on TigerGraph Cloud and APIs. CoPilot requires LLM services for beta but will support TigerGraph's LLM in future releases. It aims to improve contextual relevance and accuracy of answers to natural-language questions by building knowledge graphs and using RAG. CoPilot is extensible and can be configured with different LLM providers, graph schemas, and LangChain tools.

AI Central is a powerful tool designed to take control of your AI services with minimal overhead. It is built on Asp.Net Core and dotnet 8, offering fast web-server performance. The tool enables advanced Azure APIm scenarios, PII stripping logging to Cosmos DB, token metrics through Open Telemetry, and intelligent routing features. AI Central supports various endpoint selection strategies, proxying asynchronous requests, custom OAuth2 authorization, circuit breakers, rate limiting, and extensibility through plugins. It provides an extensibility model for easy plugin development and offers enriched telemetry and logging capabilities for monitoring and insights.

UpTrain is an open-source unified platform to evaluate and improve Generative AI applications. We provide grades for 20+ preconfigured evaluations (covering language, code, embedding use cases), perform root cause analysis on failure cases and give insights on how to resolve them.

AIS-catcher: A multi-platform AIS Receiver

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.

Your AppSheet Copilot

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Ask Me Anything about No Code Playbook

A PowerBI Expert assisting with debugging, dashboard ideas, and PowerBI service guidance.

I'm Splink Helper, here to (try to) assist with the Splink Python library. I'm very experimental so don't expect my answers to be accurate

Friendly guide for Excel chart analysis, avoiding jargon for clarity.

Expert in Google Analytics 4, GTM, BigQuery, and Looker Studio

Expert in QlikSense scripting, data visualization.

I'm here to make your Streamlit apps go viral!

Microsoft Dynamics 365 Business Central Genius powered by ANEGIS

Your Power BI assistant for dataset creation, DAX, report review, design, and more... [Updated version].

I have a sheetload of skills! Expert in Excel and VBA coding!