Best AI tools for< Data Visualization Expert >

Unearth AI is a platform offering geospatial data and location solutions. It provides various products like Unearth Lite, Unearth Insights, and Unearth Platform to cater to different needs. Unearth Lite is a ChatGPT-powered location explorer that offers a simple dashboard to explore locations worldwide. The platform aims to democratize geospatial data and is trusted by fast-growing businesses. With modern location solutions powered by AI, Unearth AI is revolutionizing the way businesses interact with and analyze location-based data.

Dot Analytics is a growth-focused data analytics agency that offers a wide range of services including data analytics, data engineering, data visualization, data science, big data analytics, AI consulting, and more. They specialize in providing analytics solutions for data-driven business managers seeking accuracy, statistics, and data to drive revenue growth. With over 6 years of experience, they offer tailored analytics solutions to optimize customer acquisition cost, lifetime value, average order value, and conversions. Dot Analytics partners with clients from various industries to provide transparent, maintenance, and optimization services.

ChartPixel is an AI-assisted data analysis platform that empowers users to effortlessly generate charts, insights, and actionable statistics in just 30 seconds. The platform is designed to demystify data and analysis, making it accessible to users of all skill levels. ChartPixel combines the power of AI with domain expertise to provide secure and reliable output, ensuring trustworthy results without compromising data privacy. With user-friendly features and educational tools, ChartPixel helps users clean, wrangle, visualize, and present data with ease, catering to both beginners and professionals.

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.

Breadcrumb.ai is an AI data analytics platform that enables users to combine, analyze, and chat with their files using AI data analytic agents. The platform is designed to be intuitive, eliminating the need for coding or data expertise. Breadcrumb's AI agents integrate and clean data, allowing users to ask questions in plain language and generate dashboards effortlessly. The tool provides a visual analytic canvas for exploring data, facilitating communication and collaboration across teams in real-time. With Breadcrumb, users can streamline operations, accelerate sales, and drive marketing decisions with evidence-based insights.

Bricks is an AI-first spreadsheet application that simplifies the process of creating and sharing reports, presentations, charts, and visuals using your data. It eliminates the need for advanced spreadsheet expertise, allowing users to effortlessly generate various types of content. Bricks offers a wide range of pre-built templates and tools to enhance productivity and creativity in data analysis and visualization.

Tabula is a visual data analytics tool that uses AI to help businesses get insights from their data. It is easy to use and can be used by anyone, regardless of their technical expertise. Tabula can be used to access and unify data from a variety of sources, standardize and blend datasets, add custom metrics, build stunning reports, and automate repetitive tasks. Tabula is integrated with a variety of data sources and platforms, making it easy to get started.

KNIME is a data science platform that enables users to analyze, blend, transform, model, visualize, and deploy data science solutions without coding. It provides a range of features and advantages for business and domain experts, data experts, end users, and MLOps & IT professionals across various industries and departments.

Arcwise is a cloud-based data science platform that provides a comprehensive set of tools for data preparation, exploration, modeling, and deployment. It is designed to make data science accessible to users of all skill levels, from beginners to experts. Arcwise offers a user-friendly interface, drag-and-drop functionality, and a wide range of pre-built templates and algorithms. This makes it easy for users to get started with data science and quickly build and deploy machine learning models.

Findly is a data analytics platform that allows users to ask questions about their data and receive insights and reports. It integrates with various data sources such as Google Analytics, Facebook Ads, and BigQuery, and provides features such as data visualization, scheduled reporting, and templates. Findly is designed to make data analysis accessible and actionable for everyone on a team, regardless of their technical expertise.

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.

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.

Posit is an open-source data science company that provides a suite of tools and services for data scientists. Its products include the RStudio IDE, Shiny, and Posit Connect. Posit also offers cloud-based solutions and enterprise support. The company's mission is to make data science accessible to everyone, regardless of their economic means or technical expertise.

Streamlit is a web application framework that allows data scientists and machine learning engineers to create interactive web applications quickly and easily. It simplifies the process of building and sharing data-focused applications by providing a simple Python script that can be turned into a shareable web app with just a few lines of code. With Streamlit, users can create interactive visualizations, dashboards, and machine learning models without the need for web development expertise.

Julius AI is an advanced AI data analyst tool that allows users to analyze data with computational AI, chat with files to get expert-level insights, create sleek data visualizations, perform modeling and predictive forecasting, solve math, physics, and chemistry problems, generate polished analyses and summaries, save time by automating data work, and unlock statistical modeling without complexity. It offers features like generating visualizations, asking data questions, effortless cleaning, instant data export, creating animations, and supercharging data analysis. Julius AI is loved by over 1,200,000 users worldwide and is designed to help knowledge workers make the most out of their data.

ANDRE is an AI-powered Analytic Narrative Discovery & Reporting Engine that uncovers hidden narratives in raw data, providing valuable insights summarized in concise slides. It simplifies data analysis, making expert-level analysis accessible to all by slashing analysis time by up to 90%. The application blends advanced AI with analytical methods to deliver executive-level data stories. Users can import data from various sources and receive comprehensive reports with conclusions. ANDRE transforms complex data into clear insights and narratives, offering flexibility for automated analysis or user-driven exploration.

Historica is an AI-powered history map application that offers a unique and immersive experience by crafting historical maps of civilization's timeline. The application leverages artificial intelligence to reconstruct landscapes of centuries past, providing users with a rich tapestry of history to explore and learn from.

Paro is a professional business finance and accounting solutions platform that matches businesses and accounting firms with skilled finance experts. It offers a wide range of services including accounting, bookkeeping, financial planning, budgeting, business analysis, data visualization, strategic advisory, growth strategy consulting, startup and fundraising consulting, transaction advisory, tax and compliance services, AI consulting services, and more. Paro aims to help businesses optimize faster by providing expert solutions to bridge gaps in finance and accounting operations. The platform also offers staff augmentation services, talent acquisition, and custom solutions to enhance operational efficiency and maximize ROI.

Quantarium is a pioneering force deeply rooted in data, analytics, and valuation models, the bedrock of our reputation. Fueled by this expertise, we crafted the Terraverse™ vision, which integrates Visual Technologies, Intelligent Mapping, and Large Language Models. Our dual commitment to delivering exceptional products and driving technological advancement is what sets us apart in our vast marketplace.

ClearPoint is a strategic planning and execution software designed to drive change and streamline strategy for organizations of all sizes. It offers a robust platform with features such as data collection automation, extensive integrations, customized reporting, data security, artificial intelligence capabilities, analytics, automation, and real-time collaboration. ClearPoint provides solutions for strategy planning, business reporting, OKR management, organizational alignment, project management, and data visualization. The application is known for its user-friendly interface, flexibility, and ability to support any strategic framework or reporting structure. With over 12,000 users worldwide, ClearPoint is a trusted partner in strategy execution, offering personalized support and guidance from strategy experts. Powered by process automation and AI, ClearPoint helps organizations achieve their goals faster and more efficiently from one centralized platform.

KWeaver is an open-source cognitive intelligence development framework that provides data scientists, application developers, and domain experts with the ability for rapid development, comprehensive openness, and high-performance knowledge network generation and cognitive intelligence large model framework. It offers features such as automated and visual knowledge graph construction, visualization and analysis of knowledge graph data, knowledge graph integration, knowledge graph resource management, large model prompt engineering and debugging, and visual configuration for large model access.

Awesome AI Tools is a curated list of popular tools and resources for artificial intelligence enthusiasts. It includes a wide range of tools such as machine learning libraries, deep learning frameworks, data visualization tools, and natural language processing resources. Whether you are a beginner or an experienced AI practitioner, this repository aims to provide you with a comprehensive collection of tools to enhance your AI projects and research. Explore the list to discover new tools, stay updated with the latest advancements in AI technology, and find the right resources to support your AI endeavors.

Awesome MLOps is a curated list of tools related to Machine Learning Operations, covering areas such as AutoML, CI/CD for Machine Learning, Data Cataloging, Data Enrichment, Data Exploration, Data Management, Data Processing, Data Validation, Data Visualization, Drift Detection, Feature Engineering, Feature Store, Hyperparameter Tuning, Knowledge Sharing, Machine Learning Platforms, Model Fairness and Privacy, Model Interpretability, Model Lifecycle, Model Serving, Model Testing & Validation, Optimization Tools, Simplification Tools, Visual Analysis and Debugging, and Workflow Tools. The repository provides a comprehensive collection of tools and resources for individuals and teams working in the field of MLOps.

LLM4DB is a repository focused on the intersection of Large Language Models (LLMs) and Database technologies. It covers various aspects such as data processing, data analysis, database optimization, and data management for LLMs. The repository includes research papers, tools, and techniques related to leveraging LLMs for tasks like data cleaning, entity matching, schema matching, data discovery, NL2SQL, data exploration, data visualization, knob tuning, query optimization, and database diagnosis.

LLM4DB is a repository focused on the intersection of Large Language Models (LLM) and Database technologies. It covers various aspects such as data processing, data analysis, database optimization, and data management for LLM. The repository includes works on data cleaning, entity matching, schema matching, data discovery, NL2SQL, data exploration, data visualization, configuration tuning, query optimization, and anomaly diagnosis using LLMs. It aims to provide insights and advancements in leveraging LLMs for improving data processing, analysis, and database management tasks.

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.

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.

Supervisely is a computer vision platform that provides a range of tools and services for developing and deploying computer vision solutions. It includes a data labeling platform, a model training platform, and a marketplace for computer vision apps. Supervisely is used by a variety of organizations, including Fortune 500 companies, research institutions, and government agencies.

A comprehensive repository of resources for Chinese large language models (LLMs), including data processing tools, fine-tuning frameworks, inference libraries, evaluation platforms, RAG engines, agent frameworks, books, courses, tutorials, and tips. The repository covers a wide range of tools and resources for working with LLMs, from data labeling and processing to model fine-tuning, inference, evaluation, and application development. It also includes resources for learning about LLMs through books, courses, and tutorials, as well as insights and strategies from building with LLMs.

ChatLaw is an open-source legal large language model tailored for Chinese legal scenarios. It aims to combine LLM and knowledge bases to provide solutions for legal scenarios. The models include ChatLaw-13B and ChatLaw-33B, trained on various legal texts to construct dialogue data. The project focuses on improving logical reasoning abilities and plans to train models with parameters exceeding 30B for better performance. The dataset consists of forum posts, news, legal texts, judicial interpretations, legal consultations, exam questions, and court judgments, cleaned and enhanced to create dialogue data. The tool is designed to assist in legal tasks requiring complex logical reasoning, with a focus on accuracy and reliability.

LLM-PowerHouse is a comprehensive and curated guide designed to empower developers, researchers, and enthusiasts to harness the true capabilities of Large Language Models (LLMs) and build intelligent applications that push the boundaries of natural language understanding. This GitHub repository provides in-depth articles, codebase mastery, LLM PlayLab, and resources for cost analysis and network visualization. It covers various aspects of LLMs, including NLP, models, training, evaluation metrics, open LLMs, and more. The repository also includes a collection of code examples and tutorials to help users build and deploy LLM-based applications.

Sidekick is a native LLM application for macOS that allows users to chat with a local language model to retrieve information from files, folders, and websites without the need for additional software installation. It operates offline, ensuring data privacy and security. Sidekick offers features such as resource access, image generation, inline writing assistance, advanced markdown rendering, fast generation speeds, and more. The tool aims to provide a simple and powerful solution for accessing local, private models with context awareness of user files and content on the web.

Gen-AI-Experiments is a structured collection of Jupyter notebooks and AI experiments designed to guide users through various AI tools, frameworks, and models. It offers valuable resources for both beginners and experienced practitioners, covering topics such as AI agents, model testing, RAG systems, real-world applications, and open-source tools. The repository includes folders with curated libraries, AI agents, experiments, LLM testing, open-source libraries, RAG experiments, and educhain experiments, each focusing on different aspects of AI development and application.

AiTreasureBox is a versatile AI tool that provides a collection of pre-trained models and algorithms for various machine learning tasks. It simplifies the process of implementing AI solutions by offering ready-to-use components that can be easily integrated into projects. With AiTreasureBox, users can quickly prototype and deploy AI applications without the need for extensive knowledge in machine learning or deep learning. The tool covers a wide range of tasks such as image classification, text generation, sentiment analysis, object detection, and more. It is designed to be user-friendly and accessible to both beginners and experienced developers, making AI development more efficient and accessible to a wider audience.

AITreasureBox is a comprehensive collection of AI tools and resources designed to simplify and accelerate the development of AI projects. It provides a wide range of pre-trained models, datasets, and utilities that can be easily integrated into various AI applications. With AITreasureBox, developers can quickly prototype, test, and deploy AI solutions without having to build everything from scratch. Whether you are working on computer vision, natural language processing, or reinforcement learning projects, AITreasureBox has something to offer for everyone. The repository is regularly updated with new tools and resources to keep up with the latest advancements in the field of artificial intelligence.

The LLM course is divided into three parts: 1. 🧩 **LLM Fundamentals** covers essential knowledge about mathematics, Python, and neural networks. 2. 🧑‍🔬 **The LLM Scientist** focuses on building the best possible LLMs using the latest techniques. 3. 👷 **The LLM Engineer** focuses on creating LLM-based applications and deploying them. For an interactive version of this course, I created two **LLM assistants** that will answer questions and test your knowledge in a personalized way: * 🤗 **HuggingChat Assistant**: Free version using Mixtral-8x7B. * 🤖 **ChatGPT Assistant**: Requires a premium account. ## 📝 Notebooks A list of notebooks and articles related to large language models. ### Tools | Notebook | Description | Notebook | |----------|-------------|----------| | 🧐 LLM AutoEval | Automatically evaluate your LLMs using RunPod |  | | 🥱 LazyMergekit | Easily merge models using MergeKit in one click. |  | | 🦎 LazyAxolotl | Fine-tune models in the cloud using Axolotl in one click. |  | | ⚡ AutoQuant | Quantize LLMs in GGUF, GPTQ, EXL2, AWQ, and HQQ formats in one click. |  | | 🌳 Model Family Tree | Visualize the family tree of merged models. |  | | 🚀 ZeroSpace | Automatically create a Gradio chat interface using a free ZeroGPU. |  |

Fueling-Ambitions-Via-Book-Discoveries is an Advanced Machine Learning & AI Course designed for students, professionals, and AI researchers. The course integrates rigorous theoretical foundations with practical coding exercises, ensuring learners develop a deep understanding of AI algorithms and their applications in finance, healthcare, robotics, NLP, cybersecurity, and more. Inspired by MIT, Stanford, and Harvard’s AI programs, it combines academic research rigor with industry-standard practices used by AI engineers at companies like Google, OpenAI, Facebook AI, DeepMind, and Tesla. Learners can learn 50+ AI techniques from top Machine Learning & Deep Learning books, code from scratch with real-world datasets, projects, and case studies, and focus on ML Engineering & AI Deployment using Django & Streamlit. The course also offers industry-relevant projects to build a strong AI portfolio.

A repository that lists papers related to Large Language Model (LLM) based agents. The repository covers various topics including survey, planning, feedback & reflection, memory mechanism, role playing, game playing, tool usage & human-agent interaction, benchmark & evaluation, environment & platform, agent framework, multi-agent system, and agent fine-tuning. It provides a comprehensive collection of research papers on LLM-based agents, exploring different aspects of AI agent architectures and applications.

Expert in data analysis and visualization, offering clear explanations and guidance.

Expert in QlikSense scripting, data visualization.

NEMSIS AI Assistant for data interpretation

Expert in explaining data visuals for academic publishing.

Expert in data analysis, visualizations, and predictions.

Master the art of Google Sheets with an assistant who can do everything from answer questions about basic features, explain functions in an eloquent and succinct manner, simplify the most complex formulas into easy steps, and help you identify techniques to effectively visualize your data.

Friendly, professional data analysis expert.

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

Your go-to expert for all Tableau questions!

Expert in Tableau, aiding with clarity and precision.

Your expert in Omniscope with an expanded knowledge base.

Expert in data analysis and ethical insight delivery.

Expert in Power BI and DAX, providing well-explained SQLBI-style solutions.

Chemical biology expert for literature, data viz, and coding

Expert Power BI assistant with a knowledge-driven approach.

Expert at creating and analyzing affinity maps.

Advanced epidemiology expert with AI-driven data integration and dynamic visualization tools.

Expert in AI mapping and visualization

Expert in precise visualization of 'Chibi Adarsh'.

Expert in enhancing Excel tasks with Python