Best AI tools for< Visualize Data Chunks >

Monitr is a data visualization and analytics platform that allows users to query, visualize, and share data in one place. It helps in tracking key metrics, making data-driven decisions, and breaking down data silos to provide a unified view of data from various sources. Users can create charts and dashboards, connect to different data sources like Postgresql and MySQL, and collaborate with teammates on SQL queries. Monitr's AI features are powered by Meta AI's Llama 3 LLM, enabling the development of powerful and flexible analytics tools for maximizing data utilization.

Lychee is an all-in-one data platform designed to streamline the data workflow process, from data collection to analysis, visualization, and sharing. It offers powerful features such as instant graph generation, AI data analysis, website deployment, social media sharing, and team collaboration. Lychee aims to simplify complex data tasks and help users make faster progress in their data-related projects.

Compact Data Science is a data science platform that provides a comprehensive set of tools and resources for data scientists and analysts. The platform includes a variety of features such as data preparation, data visualization, machine learning, and predictive analytics. Compact Data Science is designed to be easy to use and accessible to users of all skill levels.

Velotix is an AI-powered data security platform that offers groundbreaking visual data security solutions to help organizations discover, visualize, and use their data securely and compliantly. The platform provides features such as data discovery, permission discovery, self-serve data access, policy-based access control, AI recommendations, and automated policy management. Velotix aims to empower enterprises with smart and compliant data access controls, ensuring data integrity and compliance. The platform helps organizations gain data visibility, control access, and enforce policy compliance, ultimately enhancing data security and governance.

Data Science Dojo is a globally recognized e-learning platform that offers programs in data science, data analytics, machine learning, and more. They provide comprehensive and hands-on training in various formats such as in-person, virtual instructor-led, and self-paced training. The focus is on helping students develop a think-business-first mindset to apply their data science skills effectively in real-world scenarios. With over 2500 enterprises trained, Data Science Dojo aims to make data science accessible to everyone.

Data Zenith is a Kolkata-based startup specializing in innovative data analytics solutions. They offer tailored analytics services to help businesses unlock the potential of their data, streamline operations, and make informed decisions for sustainable growth. With a team of experienced data scientists, Data Zenith provides comprehensive data analysis, predictive analytics, and data visualization services to drive actionable insights and enhance operational efficiency.

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.

One Data is an AI-powered data product builder that offers a comprehensive solution for building, managing, and sharing data products. It bridges the gap between IT and business by providing AI-powered workflows, lifecycle management, data quality assurance, and data governance features. The platform enables users to easily create, access, and share data products with automated processes and quality alerts. One Data is trusted by enterprises and aims to streamline data product management and accessibility through Data Mesh or Data Fabric approaches, enhancing efficiency in logistics and supply chains. The application is designed to accelerate business impact with reliable data products and support cost reduction initiatives with advanced analytics and collaboration for innovative business models.

Diagramix is an AI-powered tool that allows users to generate various types of diagrams, such as sequence diagrams, flowcharts, state diagrams, ER diagrams, user journey diagrams, class diagrams, mind maps, and use case diagrams. Users can create these diagrams easily and efficiently with the help of Diagramix and ChatGPT. The tool provides a user-friendly interface for creating visual representations of complex systems and processes, making it ideal for professionals, students, and anyone who needs to visualize information.

Vizio AI is an advanced data analytics and automation services provider that empowers businesses with real-time data and AI insights. They offer services such as data app development, automated reporting, RPA bot development, dashboard development, and generative AI. Vizio AI collaborates with clients to connect and visualize data from various sources, automate tasks, and make AI-powered decisions with ease. Their expert data engineers and analysts work on data app development, dashboard creation, and RPA bot development to streamline business operations and enhance decision-making processes.

ChatViz is an AI-powered data visualization tool that leverages ChatGPT to enhance data visualization capabilities. It offers features such as SQL translator and chart suggestion to streamline the visualization process. By utilizing ChatViz, users can optimize development time, simplify data visualization, and say goodbye to dashboard complexity. The tool provides a new way to visualize data, reducing development time and improving user experience.

ChatCSV is a personal data analyst tool that allows users to upload CSV files and ask questions about their data in a conversational manner. It generates common questions about the data, visualizes answers with charts, and provides a chat history feature. The tool is useful for industries like retail, finance, banking, marketing, and advertising to understand trends, customer behavior, and more.

PlotGPT is a data analyst that is available 24/7. It can help you with a variety of tasks, including data analysis, data visualization, and report generation. PlotGPT is easy to use and can be accessed from any device with an internet connection.

OWOX BI is a leading data democratization platform that empowers businesses by automating business reporting in Google Sheets, simplifying data preparation with SQL and No SQL, and providing AI-powered solutions for marketing analytics. The platform offers features such as AI Copilot for faster SQL queries, Cookieless Analytics Tracking, Dashboard Templates, and integrations with Google Analytics, Google Sheets, BigQuery, and various ad platforms. OWOX BI enables users to centralize and automate marketing and sales data, visualize data with templates, and measure marketing performance effectively. The platform fosters collaboration between data teams and business users, ensuring data accuracy, reliability, and ownership.

Displayr is a comprehensive data workspace designed for teams, offering a range of capabilities including survey analysis, data visualization, dashboarding, automatic updating, PowerPoint reporting, finding data stories, and data cleaning. The platform aims to streamline workflow efficiency, promote self-sufficiency through DIY analytics, enable data storytelling with compelling narratives, and ensure quality control to minimize errors. Displayr caters to statisticians, market researchers, report creators, and professionals working with data, providing a user-friendly interface for creating interactive and insightful data stories.

Blaze SQL AI is an AI Data Analytics chatbot and SQL generator that helps non-technical users and teams turn questions into data insights. It allows users to make their teams more informed and save time by using AI for Data Analysis on their SQL Database. Blaze SQL AI can write SQL code, run queries, visualize data, and provide database documentation. It is trusted by innovative teams and offers a private desktop version for secure data connections. The tool is designed to help users easily interact with their databases using natural language and generate complex SQL queries with the help of AI technology.

Jsonify is an AI tool that automates the process of exploring and understanding websites to find, filter, and extract structured data at scale. It uses AI-powered agents to navigate web content, replacing traditional data scrapers and providing data insights with speed and precision. Jsonify integrates with leading data analysis and business intelligence suites, allowing users to visualize and gain insights into their data easily. The tool offers a no-code dashboard for creating workflows and easily iterating on data tasks. Jsonify is trusted by companies worldwide for its ability to adapt to page changes, learn as it runs, and provide technical and non-technical integrations.

Genius Sheets is a self-service data reporting tool that allows users to connect to data in Excel and Google Sheets and generate reports without the need for SQL or Python. It is designed to be easy to use and provides enterprise-grade security. Genius Sheets is trusted by over 100 companies and has been featured in publications such as Forbes and TechCrunch.

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.

The website offers an AI-powered tool for easy data visualization through natural language commands. Users can transform CSV data into various charts without the need for complex coding. The platform provides a wide range of chart types, smart AI support, and prioritizes data security and privacy. It simplifies data visualization tasks, making it intuitive and versatile for users to create visual insights effortlessly.

Simba is an open source, portable Knowledge Management System (KMS) designed to seamlessly integrate with any Retrieval-Augmented Generation (RAG) system. It features a modern UI and modular architecture, allowing developers to focus on building advanced AI solutions without the complexities of knowledge management. Simba offers a user-friendly interface to visualize and modify document chunks, supports various vector stores and embedding models, and simplifies knowledge management for developers. It is community-driven, extensible, and aims to enhance AI functionality by providing a seamless integration with RAG-based systems.

LitData is a tool designed for blazingly fast, distributed streaming of training data from any cloud storage. It allows users to transform and optimize data in cloud storage environments efficiently and intuitively, supporting various data types like images, text, video, audio, geo-spatial, and multimodal data. LitData integrates smoothly with frameworks such as LitGPT and PyTorch, enabling seamless streaming of data to multiple machines. Key features include multi-GPU/multi-node support, easy data mixing, pause & resume functionality, support for profiling, memory footprint reduction, cache size configuration, and on-prem optimizations. The tool also provides benchmarks for measuring streaming speed and conversion efficiency, along with runnable templates for different data types. LitData enables infinite cloud data processing by utilizing the Lightning.ai platform to scale data processing with optimized machines.

Knowledge Graph Builder App is a tool designed to convert PDF documents into a structured knowledge graph stored in Neo4j. It utilizes OpenAI's GPT/Diffbot LLM to extract nodes, relationships, and properties from PDF text content. Users can upload files from local machine or S3 bucket, choose LLM model, and create a knowledge graph. The app integrates with Neo4j for easy visualization and querying of extracted information.

Gurubase is an open-source RAG system that enables users to create AI-powered Q&A assistants ('Gurus') for various topics by integrating web pages, PDFs, YouTube videos, and GitHub repositories. It offers advanced LLM-based question answering, accurate context-aware responses through the RAG system, multiple data sources integration, easy website embedding, creation of custom AI assistants, real-time updates, personalized learning paths, and self-hosting options. Users can request Guru creation, manage existing Gurus, update datasources, and benefit from the system's features for enhancing user engagement and knowledge sharing.

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. |  |

Invariant Analyzer is an open-source scanner designed for LLM-based AI agents to find bugs, vulnerabilities, and security threats. It scans agent execution traces to identify issues like looping behavior, data leaks, prompt injections, and unsafe code execution. The tool offers a library of built-in checkers, an expressive policy language, data flow analysis, real-time monitoring, and extensible architecture for custom checkers. It helps developers debug AI agents, scan for security violations, and prevent security issues and data breaches during runtime. The analyzer leverages deep contextual understanding and a purpose-built rule matching engine for security policy enforcement.

Alice is an agentic workflow framework that integrates task execution and intelligent chat capabilities. It provides a flexible environment for creating, managing, and deploying AI agents for various purposes, leveraging a microservices architecture with MongoDB for data persistence. The framework consists of components like APIs, agents, tasks, and chats that interact to produce outputs through files, messages, task results, and URL references. Users can create, test, and deploy agentic solutions in a human-language framework, making it easy to engage with by both users and agents. The tool offers an open-source option, user management, flexible model deployment, and programmatic access to tasks and chats.

LightRAG is a repository hosting the code for LightRAG, a system that supports seamless integration of custom knowledge graphs, Oracle Database 23ai, Neo4J for storage, and multiple file types. It includes features like entity deletion, batch insert, incremental insert, and graph visualization. LightRAG provides an API server implementation for RESTful API access to RAG operations, allowing users to interact with it through HTTP requests. The repository also includes evaluation scripts, code for reproducing results, and a comprehensive code structure.

This repository provides a hands-on approach to Retrieval-Augmented Generation (RAG) techniques, simplifying advanced concepts into understandable implementations using Python libraries like openai, numpy, and matplotlib. It offers a collection of Jupyter Notebooks with concise explanations, step-by-step implementations, code examples, evaluations, and visualizations for various RAG techniques. The goal is to make RAG more accessible and demystify its workings for educational purposes.

WilmerAI is a middleware system designed to process prompts before sending them to Large Language Models (LLMs). It categorizes prompts, routes them to appropriate workflows, and generates manageable prompts for local models. It acts as an intermediary between the user interface and LLM APIs, supporting multiple backend LLMs simultaneously. WilmerAI provides API endpoints compatible with OpenAI API, supports prompt templates, and offers flexible connections to various LLM APIs. The project is under heavy development and may contain bugs or incomplete code.

Smart Connections is an AI-powered plugin for Obsidian that helps you discover hidden connections and insights in your notes. With features like Smart View for real-time relevant note suggestions and Smart Chat for chatting with your notes, Smart Connections makes it easier than ever to stay organized and uncover hidden connections between your notes. Its intuitive interface and customizable settings ensure a seamless experience, tailored to your unique needs and preferences.

MoBA (Mixture of Block Attention) is an innovative approach for long-context language models, enabling efficient processing of long sequences by dividing the full context into blocks and introducing a parameter-less gating mechanism. It allows seamless transitions between full and sparse attention modes, enhancing efficiency without compromising performance. MoBA has been deployed to support long-context requests and demonstrates significant advancements in efficient attention computation for large language models.

Chat with your data using OpenAI and AI Search. This solution accelerator uses an Azure OpenAI GPT model and an Azure AI Search index generated from your data, which is integrated into a web application to provide a natural language interface, including speech-to-text functionality, for search queries. Users can drag and drop files, point to storage, and take care of technical setup to transform documents. There is a web app that users can create in their own subscription with security and authentication.

WARC-GPT is an experimental retrieval augmented generation pipeline for web archive collections. It allows users to interact with WARC files, extract text, generate text embeddings, visualize embeddings, and interact with a web UI and API. The tool is highly customizable, supporting various LLMs, providers, and embedding models. Users can configure the application using environment variables, ingest WARC files, start the server, and interact with the web UI and API to search for content and generate text completions. WARC-GPT is designed for exploration and experimentation in exploring web archives using AI.

Deep Lake is a Database for AI powered by a storage format optimized for deep-learning applications. Deep Lake can be used for: 1. Storing data and vectors while building LLM applications 2. Managing datasets while training deep learning models Deep Lake simplifies the deployment of enterprise-grade LLM-based products by offering storage for all data types (embeddings, audio, text, videos, images, pdfs, annotations, etc.), querying and vector search, data streaming while training models at scale, data versioning and lineage, and integrations with popular tools such as LangChain, LlamaIndex, Weights & Biases, and many more. Deep Lake works with data of any size, it is serverless, and it enables you to store all of your data in your own cloud and in one place. Deep Lake is used by Intel, Bayer Radiology, Matterport, ZERO Systems, Red Cross, Yale, & Oxford.

The RAG Experiment Accelerator is a versatile tool that helps you conduct experiments and evaluations using Azure AI Search and RAG pattern. It offers a rich set of features, including experiment setup, integration with Azure AI Search, Azure Machine Learning, MLFlow, and Azure OpenAI, multiple document chunking strategies, query generation, multiple search types, sub-querying, re-ranking, metrics and evaluation, report generation, and multi-lingual support. The tool is designed to make it easier and faster to run experiments and evaluations of search queries and quality of response from OpenAI, and is useful for researchers, data scientists, and developers who want to test the performance of different search and OpenAI related hyperparameters, compare the effectiveness of various search strategies, fine-tune and optimize parameters, find the best combination of hyperparameters, and generate detailed reports and visualizations from experiment results.

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.

Expert in data analysis, visualizations, and predictions.

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

Explore & interpret the Eurostat database. Type in requests for statistics, also ask to visualize it. Works best wish specific datasets. It's meant for professionals familiar with the Eurostat database looking for a faster way to explore it.

I clean and explain data.

Reviews open data using uploaded knowledge.

Data specialist for Toronto Government Data Platform insights

Casual and approachable Python data analysis helper.

Your interactive data analysis expert

I'm the data, image, or document you uploaded, talking to you.

Friendly, professional data analysis expert.

A Data Engineer assistant offering advice on data pipelines and data-related tasks.

Creates full DOCX data analysis reports with integrated visualizations

Advanced assistant for data publication and subscription guidance, with enhanced contextual understanding and technical integration.

Provide a hand-drawing or screenshot of your desired plot along with the data and I'll make the plot.

Shows year progress and safeguards tech details.

I'll help you access and understand open data published by central government, local authorities and public bodies. You can ask me in your native language.

A data assistant for devs, now with real video and image links.

Assists with predictive modeling techniques and data analysis insights.

Generates Vega-Lite JSON code for Power BI visuals from data and descriptions.

Chemical biology expert for literature, data viz, and coding