Best AI tools for< Understand Data Analysis >

Sequel is an AI-powered tool that serves as a natural language interface for databases, allowing users to effortlessly navigate and understand their data without the need to write complex SQL queries. By simply asking questions in plain English, users can quickly obtain insights and visualizations from their database. The tool supports a wide range of databases and services, ensuring users can connect to their existing database securely and efficiently. Sequel's AI capabilities enable users to generate SQL queries, uncover insights, and make better decisions based on the data analysis.

Grapha.ai is a data exploration tool that helps users to quickly and easily explore and understand their data. It provides a variety of features to help users to visualize their data, identify trends and patterns, and make informed decisions. Grapha.ai is designed to be easy to use, even for users with no prior experience with data analysis.

Simplescraper is a web scraping tool that allows users to extract data from any website in seconds. It offers the ability to download data instantly, scrape at scale in the cloud, or create APIs without the need for coding. The tool is designed for developers and no-coders, making web scraping simple and efficient. Simplescraper AI Enhance provides a new way to pull insights from web data, allowing users to summarize, analyze, format, and understand extracted data using AI technology.

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.

FinChat.io is a comprehensive AI-powered stock research platform that provides institutional-quality data and insights to investors. With FinChat.io, you can access accurate financial data on over 100,000 global public companies, as well as company revenue and profit segments, KPIs, analyst estimates, price targets, and ratings. FinChat.io also utilizes cutting-edge AI to build summaries, models, and visualizations, making it easy to understand complex financial data. Additionally, FinChat.io offers a customizable terminal, allowing you to track what matters most to you and auto-save your research. With FinChat.io, you can work faster than ever and make better investment decisions.

Adzviser is an AI-powered marketing data connector that seamlessly integrates with ChatGPT, Google Sheets, and Looker Studio. It offers an intuitive and cost-effective solution for analyzing cross-platform data, providing users with valuable insights to optimize their marketing strategies. Adzviser simplifies data extraction and analysis, making it accessible to users of all skill levels, without the need for technical expertise. The application is designed to enhance marketing analytics endeavors for businesses of all scales, from small in-house teams to large agencies managing multiple accounts.

Rerun is an SDK, time-series database, and visualizer for temporal and multimodal data. It is used in fields like robotics, spatial computing, 2D/3D simulation, and finance to verify, debug, and explain data. Rerun allows users to log data like tensors, point clouds, and text to create streams, visualize and interact with live and recorded streams, build layouts, customize visualizations, and extend data and UI functionalities. The application provides a composable data model, dynamic schemas, and custom views for enhanced data visualization and analysis.

Mather Economics is a global leader in providing technology, analytics, and advisory services to enable publishers to monetize content and grow subscriber revenue. Our Sophi platform uses industry-leading AI technology and automation to monetize content more effectively and efficiently, driving both revenue growth and cost savings. Our approach to dynamic pricing has proven to drive significant revenue increases over the past 20 years and continues to lead the industry. Overall, our value proposition enables fast, economical, and verifiable return on investment through our efficient application of predictive analytics, technology, A/B testing, and data science.

ChatCSV is a personal data analyst tool that allows users to upload CSV files and ask questions in natural language. It generates common questions about the data, visualizes answers with charts, and maintains a chat history for reference. The tool is useful across various industries like retail, finance, banking, marketing, and more, helping users understand trends, customer behavior, and conduct data analysis effortlessly.

Kanaries is an augmented analytics platform that uses AI to automate the process of data exploration and visualization. It offers a variety of features to help users quickly and easily find insights in their data, including: * **RATH:** An AI-powered engine that can automatically generate insights and recommendations based on your data. * **Graphic Walker:** A visual analytics tool that allows you to explore your data in a variety of ways, including charts, graphs, and maps. * **Data Painter:** A data cleaning and transformation tool that makes it easy to prepare your data for analysis. * **Causal Analysis:** A tool that helps you identify and understand the causal relationships between variables in your data. Kanaries is designed to be easy to use, even for users with no prior experience with data analysis. It is also highly scalable, so it can be used to analyze large datasets. Kanaries is a valuable tool for anyone who wants to quickly and easily find insights in their data. It can be used by businesses of all sizes, and it is particularly well-suited for organizations that are looking to improve their data-driven decision-making.

ElliSense is an AI-powered global market sentiment analysis tool that provides real-time insights into the sentiment of various financial assets, including stocks, cryptocurrencies, and forex currencies. It analyzes thousands of data points per second from various sources, including social media, news outlets, and industry analysts, to provide accurate and up-to-date market sentiment. The tool is designed to help traders and investors make informed decisions by providing clear and easy-to-understand market insights.

Avanty is an AI assistant designed for data analysts using Metabase. It is an AI-powered Chrome extension that supports data analysts in their work by saving time on generating, editing, and understanding SQL queries. Avanty helps users in writing, editing, and debugging SQL queries, providing smart explanations and formatting to make the process easier and faster. It offers features like auto-generating SQL queries from natural language, auto-formatting queries, auto-suggestions for chart titles, and smart error debugging. Avanty aims to enhance the workflow of data analysts by simplifying SQL query tasks and providing intelligent assistance.

Narrative BI is a generative analytics platform designed for growth teams to automatically transform raw data into actionable narratives. It offers integrations with popular tools like Google Analytics, Google Ads, Facebook Ads, and more, providing users with AI-generated insights and alerts to optimize their marketing and advertising strategies. The platform aims to simplify data analysis and decision-making processes by condensing complex data into easy-to-understand information, enabling users to make informed decisions based on real-time data.

vizGPT is an AI-powered data visualization tool that simplifies the process of turning complex data into clear insights. The software offers contextual understanding, intelligent conversation, and natural language processing capabilities to help users quickly generate and understand complex visualizations. With real-time responses and contextual memory features, vizGPT provides a seamless data storytelling experience. Users can create visualizations using a no-code GUI with drag-and-drop functionality and leverage powerful data transformation and profiling tools. vizGPT aims to revolutionize data visualization by offering an intuitive and efficient solution for data analysis.

Four/Four is a data-driven decision-making software that helps businesses understand their customers' needs and make better decisions. The software automatically captures the voice of the customer from real-life conversations, links it with CRM data, and analyzes it through an AI engine to create actionable insights. Four/Four can be used by a variety of teams within an organization, including product marketing, sales, customer success, and executives. The software can help businesses with a variety of tasks, such as account development, lead qualification, opportunity development, customer profiling, roadmap planning, market segmentation, and market due diligence.

AlphaCode is an AI-powered tool that helps businesses understand and leverage their data. It offers a range of services, including data vision, cloud, and product development. AlphaCode's AI capabilities enable it to analyze data, identify patterns, and make predictions, helping businesses make better decisions and achieve their goals.

Vilosia is an AI-powered platform that helps medium and large enterprises with internal development teams to visualize their software architecture, simplify migration, and improve system modularity. The platform uses Gen AI to automatically add event triggers to the codebase, enabling users to understand data flow, system dependencies, domain boundaries, and external APIs. Vilosia also offers AI workflow analysis to extract workflows from function call chains and identify database usage. Users can scan their codebase using CLI client & CI/CD integration and stay updated with new features through the newsletter.

Usermaven is a simple yet powerful website and product analytics tool that offers accurate tracking, comprehensive suite of analytics tools, real-time insights, and AI-powered data analysis. It eliminates the need for coding, provides privacy-friendly analytics, and is trusted by leading brands and agencies. Usermaven empowers marketers and product professionals to gain in-depth insights, understand user behavior, optimize marketing and product strategies, and make data-driven decisions for business success.

Tableau is a visual analytics platform that helps people see, understand, and act on data. It is used by organizations of all sizes to solve problems, make better decisions, and improve operations. Tableau's platform is intuitive and easy to use, making it accessible to people of all skill levels. It also offers a wide range of features and capabilities, making it a powerful tool for data analysis and visualization.

OpinioAI is an AI-powered market research tool that allows users to gain business critical insights from data without the need for costly polls, surveys, or interviews. With OpinioAI, users can create AI personas and market segments to understand customer preferences, affinities, and opinions. The platform democratizes research by providing efficient, effective, and budget-friendly solutions for businesses, students, and individuals seeking valuable insights. OpinioAI leverages Large Language Models to simulate humans and extract opinions in detail, enabling users to analyze existing data, synthesize new insights, and evaluate content from the perspective of their target audience.

airda(Air Data Agent) is a multi-agent system for data analysis, which can understand data development and data analysis requirements, understand data, and generate SQL and Python code for data query, data visualization, machine learning and other tasks.

Data Formulator is an AI-powered tool developed by Microsoft Research to help data analysts create rich visualizations iteratively. It combines user interface interactions with natural language inputs to simplify the process of describing chart designs while delegating data transformation to AI. Users can utilize features like blended UI and NL inputs, data threads for history navigation, and code inspection to create impressive visualizations. The tool supports local installation for customization and Codespaces for quick setup. Developers can build new data analysis tools on top of Data Formulator, and research papers are available for further reading.

DataHorse is an open-source tool and Python library that simplifies data science for everyone. It allows users to interact with data in plain English without requiring technical skills. Users can create graphs, modify data, and build machine learning models to make predictions. The tool is designed to help businesses and individuals quickly understand their data and make data-driven decisions with ease.

BambooAI is a lightweight library utilizing Large Language Models (LLMs) to provide natural language interaction capabilities, much like a research and data analysis assistant enabling conversation with your data. You can either provide your own data sets, or allow the library to locate and fetch data for you. It supports Internet searches and external API interactions.

This repository serves as a comprehensive survey on the application of Large Language Models (LLMs) on tabular data, focusing on tasks such as prediction, data generation, and table understanding. It aims to consolidate recent progress in this field by summarizing key techniques, metrics, datasets, models, and optimization approaches. The survey identifies strengths, limitations, unexplored territories, and gaps in the existing literature, providing insights for future research directions. It also offers code and dataset references to empower readers with the necessary tools and knowledge to address challenges in this rapidly evolving domain.

The 'nlp-llms-resources' repository is a comprehensive resource list for Natural Language Processing (NLP) and Large Language Models (LLMs). It covers a wide range of topics including traditional NLP datasets, data acquisition, libraries for NLP, neural networks, sentiment analysis, optical character recognition, information extraction, semantics, topic modeling, multilingual NLP, domain-specific LLMs, vector databases, ethics, costing, books, courses, surveys, aggregators, newsletters, papers, conferences, and societies. The repository provides valuable information and resources for individuals interested in NLP and LLMs.

BasicLingua is a Python library that provides functionalities for linguistic tasks such as tokenization, stemming, lemmatization, and many others. It is based on the Gemini Language Model, which has demonstrated promising results in dealing with text data. BasicLingua can be used as an API or through a web demo. It is available under the MIT license and can be used in various projects.

LLMs4TS is a repository focused on the application of cutting-edge AI technologies for time-series analysis. It covers advanced topics such as self-supervised learning, Graph Neural Networks for Time Series, Large Language Models for Time Series, Diffusion models, Mixture-of-Experts architectures, and Mamba models. The resources in this repository span various domains like healthcare, finance, and traffic, offering tutorials, courses, and workshops from prestigious conferences. Whether you're a professional, data scientist, or researcher, the tools and techniques in this repository can enhance your time-series data analysis capabilities.

This repository is a collection of papers on Tabular Large Language Models (LLMs) specialized for processing tabular data. It includes surveys, models, and applications related to table understanding tasks such as Table Question Answering, Table-to-Text, Text-to-SQL, and more. The repository categorizes the papers based on key ideas and provides insights into the advancements in using LLMs for processing diverse tables and fulfilling various tabular tasks based on natural language instructions.

MATLAB-Simulink-Challenge-Project-Hub is a repository aimed at contributing to the progress of engineering and science by providing challenge projects with real industry relevance and societal impact. The repository offers a wide range of projects covering various technology trends such as Artificial Intelligence, Autonomous Vehicles, Big Data, Computer Vision, and Sustainability. Participants can gain practical skills with MATLAB and Simulink while making a significant contribution to science and engineering. The projects are designed to enhance expertise in areas like Sustainability and Renewable Energy, Control, Modeling and Simulation, Machine Learning, and Robotics. By participating in these projects, individuals can receive official recognition for their problem-solving skills from technology leaders at MathWorks and earn rewards upon project completion.

CrewAI is a cutting-edge framework designed to orchestrate role-playing autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks. It enables AI agents to assume roles, share goals, and operate in a cohesive unit, much like a well-oiled crew. Whether you're building a smart assistant platform, an automated customer service ensemble, or a multi-agent research team, CrewAI provides the backbone for sophisticated multi-agent interactions. With features like role-based agent design, autonomous inter-agent delegation, flexible task management, and support for various LLMs, CrewAI offers a dynamic and adaptable solution for both development and production workflows.

This repository does not provide a tool, but rather a collection of resources and strategies for academics in the field of artificial intelligence who are feeling depressed or overwhelmed by the rapid advancements in the field. The resources include articles, blog posts, and other materials that offer advice on how to cope with the challenges of working in a fast-paced and competitive environment.

Data-to-paper is an AI-driven framework designed to guide users through the process of conducting end-to-end scientific research, starting from raw data to the creation of comprehensive and human-verifiable research papers. The framework leverages a combination of LLM and rule-based agents to assist in tasks such as hypothesis generation, literature search, data analysis, result interpretation, and paper writing. It aims to accelerate research while maintaining key scientific values like transparency, traceability, and verifiability. The framework is field-agnostic, supports both open-goal and fixed-goal research, creates data-chained manuscripts, involves human-in-the-loop interaction, and allows for transparent replay of the research process.

Ryoma is an AI Powered Data Agent framework that offers a comprehensive solution for data analysis, engineering, and visualization. It leverages cutting-edge technologies like Langchain, Reflex, Apache Arrow, Jupyter Ai Magics, Amundsen, Ibis, and Feast to provide seamless integration of language models, build interactive web applications, handle in-memory data efficiently, work with AI models, and manage machine learning features in production. Ryoma also supports various data sources like Snowflake, Sqlite, BigQuery, Postgres, MySQL, and different engines like Apache Spark and Apache Flink. The tool enables users to connect to databases, run SQL queries, and interact with data and AI models through a user-friendly UI called Ryoma Lab.

Generative AI with LangChain is a code repository for building large language model (LLM) apps with Python, ChatGPT, and other LLMs. The repository provides code examples, instructions, and configurations for creating generative AI applications using the LangChain framework. It covers topics such as setting up the development environment, installing dependencies with Conda or Pip, using Docker for environment setup, and setting API keys securely. The repository also emphasizes stability, code updates, and user engagement through issue reporting and feedback. It aims to empower users to leverage generative AI technologies for tasks like building chatbots, question-answering systems, software development aids, and data analysis applications.

Open Data QnA is a Python library that allows users to interact with their PostgreSQL or BigQuery databases in a conversational manner, without needing to write SQL queries. The library leverages Large Language Models (LLMs) to bridge the gap between human language and database queries, enabling users to ask questions in natural language and receive informative responses. It offers features such as conversational querying with multiturn support, table grouping, multi schema/dataset support, SQL generation, query refinement, natural language responses, visualizations, and extensibility. The library is built on a modular design and supports various components like Database Connectors, Vector Stores, and Agents for SQL generation, validation, debugging, descriptions, embeddings, responses, and visualizations.

Data-Juicer is a one-stop data processing system to make data higher-quality, juicier, and more digestible for LLMs. It is a systematic & reusable library of 80+ core OPs, 20+ reusable config recipes, and 20+ feature-rich dedicated toolkits, designed to function independently of specific LLM datasets and processing pipelines. Data-Juicer allows detailed data analyses with an automated report generation feature for a deeper understanding of your dataset. Coupled with multi-dimension automatic evaluation capabilities, it supports a timely feedback loop at multiple stages in the LLM development process. Data-Juicer offers tens of pre-built data processing recipes for pre-training, fine-tuning, en, zh, and more scenarios. It provides a speedy data processing pipeline requiring less memory and CPU usage, optimized for maximum productivity. Data-Juicer is flexible & extensible, accommodating most types of data formats and allowing flexible combinations of OPs. It is designed for simplicity, with comprehensive documentation, easy start guides and demo configs, and intuitive configuration with simple adding/removing OPs from existing configs.

BIA `bob` is a Jupyter-based assistant for interacting with data using large language models to generate Python code. It can utilize OpenAI's chatGPT, Google's Gemini, Helmholtz' blablador, and Ollama. Users need respective accounts to access these services. Bob can assist in code generation, bug fixing, code documentation, GPU-acceleration, and offers a no-code custom Jupyter Kernel. It provides example notebooks for various tasks like bio-image analysis, model selection, and bug fixing. Installation is recommended via conda/mamba environment. Custom endpoints like blablador and ollama can be used. Google Cloud AI API integration is also supported. The tool is extensible for Python libraries to enhance Bob's functionality.

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.

AskDB is a revolutionary application that simplifies the way users interact with SQL databases. It allows users to query databases in plain English, provides instant answers, and offers AI-assisted query writing and database exploration. AskDB benefits business analysts, data scientists, managers, developers, and database administrators by making querying databases intuitive, effortless, and safe. It offers features like natural language querying, instant insight from data, multi-database connectivity, intelligent query suggestions, data privacy, and easy data export.

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.

Your go-to guide for coding and tech education.

I assist you in understanding the details of a company's financial results based on provided earnings data. If you have an earnings report you'd like me to analyze, feel free to share it, and I'll provide detailed insights and interpretations!

Analyzes annual reports, focusing on specific user-provided data

Generates social research proposals, data analysis and cultural insight reports for academic and applied sociologists.

Expert in Mayan mathematics, focusing on practical applications.

A SID framework companion for understanding and utilizing the Information Framework.

Assists users in understanding UK MPs' voting records.

Upload an image of a statistical analysis and we'll interpret the results: linear regression, logistic regression, ANOVA, cluster analysis, MDS, factor analysis, and many more

Technical analyst backed with 1W-1D-4H refreshed financial market data. For more timeframes and granularity please check our website.

Ask: "What graphs can you create from MY pee times data file (.xlsx)?" Show to your Urologist.

Takes in a research paper or article, analyzes its claims, study quality, and results confidence and provides an easy to understand summary.

A mentor in analysis, linking maths to real-world applications, with follow-up questions for deeper understanding.

Expert critical thinker with a background in psychology, behavioral sciences, and intelligence analysis.

Specializes in analyzing ChatGPT conversations for code snippets to build apps

多元思维分析专家，深入解读人类认知和认知偏误。

Responsive and transparent in visualizing global news data.

I assist with SPSS data interpretation for academic manuscripts.

Upload photos of a person and see how Ai describes them and their lifestyle. Data is not collected.

Provide TOPIC & different views to compare: Gateway to Informed Comparisons. Harness AI-powered insights to analyze and score different viewpoints on any topic, delivering balanced, data-driven perspectives for smarter decision-making.