AI tools for data analysis
Related Tools:
dataset.macgence
dataset.macgence is an AI-powered data analysis tool that helps users extract valuable insights from their datasets. It offers a user-friendly interface for uploading, cleaning, and analyzing data, making it suitable for both beginners and experienced data analysts. With advanced algorithms and visualization capabilities, dataset.macgence enables users to uncover patterns, trends, and correlations in their data, leading to informed decision-making. Whether you're a business professional, researcher, or student, dataset.macgence can streamline your data analysis process and enhance your data-driven strategies.
Vizly
Vizly is an AI-powered data analysis tool that empowers users to make the most of their data. It allows users to chat with their data, visualize insights, and perform complex analysis. Vizly supports various file formats like CSV, Excel, and JSON, making it versatile for different data sources. The tool is free to use for up to 10 messages per month and offers a student discount of 50%. Vizly is suitable for individuals, students, academics, and organizations looking to gain actionable insights from their data.
ANDRE
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.
Displayr
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.
SheetBot AI
SheetBot AI is an AI data analyst tool that enables users to analyze data quickly without the need for coding. It automates repetitive and time-consuming data tasks, making data visualization and analysis more efficient. With SheetBot AI, users can generate accurate and visually appealing graphs in seconds, streamlining the data analysis process.
AskCSV
AskCSV is a revolutionary AI-powered tool that empowers you to unlock valuable insights from your CSV files. Simply ask any question about your data, and AskCSV will provide you with instant, accurate answers and visualizations. Your data remains completely secure, processed directly in your browser's memory without any server uploads. With AskCSV, you can effortlessly analyze your data, identify trends, make informed decisions, and gain a deeper understanding of your business.
Jeda.ai
Jeda.ai is a generative AI workspace that allows users to create, visualize, and analyze data in a collaborative environment. It offers a variety of features, including AI template analysis, AI mind map diagrams, AI flowchart diagrams, AI wireframe, AI text writer, AI sticky notes, AI art, AI vision and transform, AI data analysis, AI document analysis, and AI business cases. Jeda.ai is designed to help users improve their productivity and make better decisions.
HappyLoop
HappyLoop is an AI tool that allows SaaS users to embed their own AI Analyst into their products. It provides real-time AI analysis inside the product, enabling users to access data instantly, break down silos, generate reports quickly, and receive actionable recommendations. HappyLoop has been praised for modernizing products, improving user retention, increasing revenue, streamlining workflows, and enhancing user engagement. The tool aims to solve the problem of users struggling to make sense of their data by turning data into decisions instantly. It offers features like real-time insights, advanced reporting, conversational actions, personalized UIs, secure & compliant data handling, and GenAI capabilities.
The Futurum Group
The Futurum Group is an AI tool that provides data and intelligence analysis, testing, labs, validation, research, advisory services, media activation, and custom projects. It covers various topics such as artificial intelligence software and tools, devices, channels, go-to-market strategies, cybersecurity, DevOps, application development, enterprise applications, semiconductors, and more. The platform offers insights, research reports, and expert analysis to help businesses stay competitive and make informed decisions in the tech industry.
Hepta AI
Hepta AI is an AI-powered statistics tool designed for scientific research. It simplifies the process of statistical analysis by allowing users to easily input their data and receive comprehensive results, including tables, graphs, and statistical analysis. With a focus on accuracy and efficiency, Hepta AI aims to streamline the research process for scientists and researchers, providing valuable insights and data visualization. The tool offers a user-friendly interface and advanced AI algorithms to deliver precise and reliable statistical outcomes.
ChartPixel
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.
Dataku.ai
Dataku.ai is an advanced data extraction and analysis tool powered by AI technology. It offers seamless extraction of valuable insights from documents and texts, transforming unstructured data into structured, actionable information. The tool provides tailored data extraction solutions for various needs, such as resume extraction for streamlined recruitment processes, review insights for decoding customer sentiments, and leveraging customer data to personalize experiences. With features like market trend analysis and financial document analysis, Dataku.ai empowers users to make strategic decisions based on accurate data. The tool ensures precision, efficiency, and scalability in data processing, offering different pricing plans to cater to different user needs.
ChartFast
ChartFast is an AI Data Analyzer tool that automates data visualization and analysis tasks, powered by GPT-4 technology. It allows users to generate precise and sleek graphs in seconds, process vast amounts of data, and provide interactive data queries and quick exports. With features like specialized internal libraries for complex graph generation, customizable visualization code, and instant data export, ChartFast aims to streamline data work and enhance data analysis efficiency.
Genius Sports
Genius Sports is an AI-powered sports data and technology platform that offers innovative solutions for teams, leagues, brands, content owners, and sportsbooks. By capturing and transforming sports data into intelligent technology, Genius Sports enhances fan experiences and provides cutting-edge performance analysis. The platform enables users to engage fans globally, optimize marketing strategies, and drive revenue through AI insights and live betting experiences.
Ontosight.ai
Ontosight.ai is an AI-powered research assistant designed to provide users with smarter insights. It leverages artificial intelligence to assist in research tasks, offering advanced capabilities for data analysis and information retrieval. By utilizing cutting-edge technology, Ontosight.ai aims to streamline the research process and enhance decision-making through intelligent data processing.
UserAnalytics.AI
UserAnalytics.AI is an advanced AI data analysis tool designed for e-commerce platforms such as Shopify, WooCommerce, and SaaS. It provides in-depth analytics and insights to help businesses optimize their online performance and make data-driven decisions. With powerful AI algorithms, UserAnalytics.AI offers a user-friendly interface for users to track and analyze various metrics related to their online stores, customer behavior, and sales performance.
Research Studio
Research Studio is a next-level UX research tool that helps you streamline your user research with AI-enhanced analysis. Whether you're a freelance UX designer, user researcher, or agency, Research Studio can help you get the insights you need to make better decisions about your products and services.
DataLang
DataLang is a tool that allows you to chat with your databases, expose a specific set of data (using SQL) to train GPT, and then chat with it in natural language. You can also use DataLang to automatically make your SQL views available via API, share it with your privately users, or make it public.
Genius Sheets
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.
KNIME
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.
CannaIndustry Data Expert
Data trend analysis expert in cannabis, also skilled in image and data analysis, document generation, and web search.
Data Analysis Report Creator
Creates full DOCX data analysis reports with integrated visualizations
Illuminous - The Data Exploration AI
Expert in data analysis, visualizations, and predictions.
Data Analysis Prompt Engineer
Specializes in creating, refining, and testing data analysis prompts based on user queries.
Data Analysis & Report AI
Your expert in limitless, detailed scientific data analysis and reporting
Emmi Data Analysis and Visualizer
Expert in data analysis and visualization, offering clear explanations and guidance.
GUNSHIGPT
TikTok users data analysis and interpretation. (@apify actions)(Email me if any inquiries)
Your Business Data Optimizer Pro
A chatbot expert in business data analysis and optimization.
ai-data-analysis-MulitAgent
AI-Driven Research Assistant is an advanced AI-powered system utilizing specialized agents for data analysis, visualization, and report generation. It integrates LangChain, OpenAI's GPT models, and LangGraph for complex research processes. Key features include hypothesis generation, data processing, web search, code generation, and report writing. The system's unique Note Taker agent maintains project state, reducing overhead and improving context retention. System requirements include Python 3.10+ and Jupyter Notebook environment. Installation involves cloning the repository, setting up a Conda virtual environment, installing dependencies, and configuring environment variables. Usage instructions include setting data, running Jupyter Notebook, customizing research tasks, and viewing results. Main components include agents for hypothesis generation, process supervision, visualization, code writing, search, report writing, quality review, and note-taking. Workflow involves hypothesis generation, processing, quality review, and revision. Customization is possible by modifying agent creation and workflow definition. Current issues include OpenAI errors, NoteTaker efficiency, runtime optimization, and refiner improvement. Contributions via pull requests are welcome under the MIT License.
data-juicer
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.
Ultimate-Data-Science-Toolkit---From-Python-Basics-to-GenerativeAI
Ultimate Data Science Toolkit is a comprehensive repository covering Python basics to Generative AI. It includes modules on Python programming, data analysis, statistics, machine learning, MLOps, case studies, and deep learning. The repository provides detailed tutorials on various topics such as Python data structures, control statements, functions, modules, object-oriented programming, exception handling, file handling, web API, databases, list comprehension, lambda functions, Pandas, Numpy, data visualization, statistical analysis, supervised and unsupervised machine learning algorithms, model serialization, ML pipeline orchestration, case studies, and deep learning concepts like neural networks and autoencoders.
Awesome-AI-Data-Guided-Projects
A curated list of data science & AI guided projects to start building your portfolio. The repository contains guided projects covering various topics such as large language models, time series analysis, computer vision, natural language processing (NLP), and data science. Each project provides detailed instructions on how to implement specific tasks using different tools and technologies.
data-to-paper
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.
Awesome-AI-Data-GitHub-Repos
Awesome AI & Data GitHub-Repos is a curated list of essential GitHub repositories covering the AI & ML landscape. It includes resources for Natural Language Processing, Large Language Models, Computer Vision, Data Science, Machine Learning, MLOps, Data Engineering, SQL & Database, and Statistics. The repository aims to provide a comprehensive collection of projects and resources for individuals studying or working in the field of AI and data science.
Open_Data_QnA
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-formulator
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.
ai-data-science-team
The AI Data Science Team of Copilots is an AI-powered data science team that uses agents to help users perform common data science tasks 10X faster. It includes agents specializing in data cleaning, preparation, feature engineering, modeling, and interpretation of business problems. The project is a work in progress with new data science agents to be released soon. Disclaimer: This project is for educational purposes only and not intended to replace a company's data science team. No warranties or guarantees are provided, and the creator assumes no liability for financial loss.
awesome-open-data-annotation
At ZenML, we believe in the importance of annotation and labeling workflows in the machine learning lifecycle. This repository showcases a curated list of open-source data annotation and labeling tools that are actively maintained and fit for purpose. The tools cover various domains such as multi-modal, text, images, audio, video, time series, and other data types. Users can contribute to the list and discover tools for tasks like named entity recognition, data annotation for machine learning, image and video annotation, text classification, sequence labeling, object detection, and more. The repository aims to help users enhance their data-centric workflows by leveraging these tools.
Auto-Data
Auto Data is a library designed for the automatic generation of realistic datasets, essential for the fine-tuning of Large Language Models (LLMs). This highly efficient and lightweight library enables the swift and effortless creation of comprehensive datasets across various topics, regardless of their size. It addresses challenges encountered during model fine-tuning due to data scarcity and imbalance, ensuring models are trained with sufficient examples.
LLM-on-Tabular-Data-Prediction-Table-Understanding-Data-Generation
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.
awesome-generative-ai-data-scientist
A curated list of 50+ resources to help you become a Generative AI Data Scientist. This repository includes resources on building GenAI applications with Large Language Models (LLMs), and deploying LLMs and GenAI with Cloud-based solutions.
morph
Morph is a python-centric full-stack framework for building and deploying data apps. It is fast to start, deploy and operate, requires no HTML/CSS knowledge, and is customizable with Python and SQL for advanced data workflows. With Markdown-based syntax and pre-made components, users can create visually appealing designs without writing HTML or CSS.
Data-Science-EBooks
This repository contains a collection of resources in the form of eBooks related to Data Science, Machine Learning, and similar topics.
DataFrame
DataFrame is a C++ analytical library designed for data analysis similar to libraries in Python and R. It allows you to slice, join, merge, group-by, and perform various statistical, summarization, financial, and ML algorithms on your data. DataFrame also includes a large collection of analytical algorithms in form of visitors, ranging from basic stats to more involved analysis. You can easily add your own algorithms as well. DataFrame employs extensive multithreading in almost all its APIs, making it suitable for analyzing large datasets. Key principles followed in the library include supporting any type without needing new code, avoiding pointer chasing, having all column data in contiguous memory space, minimizing space usage, avoiding data copying, using multi-threading judiciously, and not protecting the user against garbage in, garbage out.
responsible-ai-toolbox
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment interfaces and libraries for understanding AI systems. It empowers developers and stakeholders to develop and monitor AI responsibly, enabling better data-driven actions. The toolbox includes visualization widgets for model assessment, error analysis, interpretability, fairness assessment, and mitigations library. It also offers a JupyterLab extension for managing machine learning experiments and a library for measuring gender bias in NLP datasets.
OAD
OAD is a powerful open-source tool for analyzing and visualizing data. It provides a user-friendly interface for exploring datasets, generating insights, and creating interactive visualizations. With OAD, users can easily import data from various sources, clean and preprocess data, perform statistical analysis, and create customizable visualizations to communicate findings effectively. Whether you are a data scientist, analyst, or researcher, OAD can help you streamline your data analysis workflow and uncover valuable insights from your data.