Best AI tools for< Perform Data Analysis >

Latitude is an open-source framework for building interactive data apps using code. It provides a workspace for data analysts to streamline their workflow, connect to various data sources, perform data transformations, create visualizations, and collaborate with others. Latitude aims to simplify the data analysis process by offering features such as data snapshots, a data profiler, a built-in AI assistant, and tight integration with dbt.

Deepsheet is a cloud-based spreadsheet application that uses artificial intelligence to help users analyze and visualize data. It offers a variety of features, including the ability to import data from a variety of sources, create charts and graphs, and perform data analysis. Deepsheet is designed to be easy to use, even for users with no prior experience with spreadsheets.

MarkovML is an AI application that empowers enterprises to transform knowledge work with AI. It offers a no-code platform to create custom workflows, build GenAI applications, and perform automated exploratory data analysis. The application provides AI-driven solutions for EdTech, recruiting, and finance operations. Users can access insights, trends, and machine learning resources through the blog and share data insights with peers. MarkovML ensures data security, traceability, and encryption, and offers integrations with various data sources for unified access and reuse.

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.

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.

Julius is an AI-powered tool that helps users analyze data and files. It can perform various tasks such as generating visualizations, answering data questions, and performing statistical modeling. Julius is designed to save users time and effort by automating complex data analysis tasks.

Websim.ai is an advanced AI tool designed to provide users with a powerful platform for simulating and analyzing web data. With cutting-edge algorithms and machine learning capabilities, Websim.ai offers a comprehensive suite of tools for web data analysis, visualization, and prediction. Users can easily upload their data sets, perform complex analyses, and generate insightful reports to gain valuable insights into their web performance and user behavior. Whether you are a data scientist, marketer, or business owner, Websim.ai empowers you to make informed decisions and optimize your online presence.

Cohesive is an AI tool designed to provide outsourced analysts and assistants for businesses. It enables users to prospect at scale, perform outbound activities with AI enrichment and web scraping directly within Google Sheets. The tool is Google Sheets native, allowing users to enrich and scrape the web without the need to import data into a separate platform. Cohesive also leverages AI for bulk data analysis, personalization generation, web scraping, and email finding/validation. It offers free usage with the option to join the Cohesive Slack community for additional support.

Sourcetable is an AI-powered spreadsheet and data analysis tool that enables users to perform various tasks such as analyzing files, creating visualizations, writing formulas, researching, and cleaning data with the help of artificial intelligence. It offers features like AI Spreadsheet Assistant, AI Formula Generator, AI Chart Generator, AI Data Analysis, SQL Generator, and more to streamline data-related tasks efficiently.

NumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and high-level mathematical functions to perform operations on these arrays. It is the fundamental package for scientific computing with Python and is used in a wide range of applications, including data science, machine learning, and image processing. NumPy is open source and distributed under a liberal BSD license, and is developed and maintained publicly on GitHub by a vibrant, responsive, and diverse community.

Alteryx offers a leading AI Platform for Enterprise Analytics that delivers actionable insights by automating analytics. The platform combines the power of data preparation, analytics, and machine learning to help businesses make better decisions faster. With Alteryx, businesses can connect to a wide variety of data sources, prepare and clean data, perform advanced analytics, and build and deploy machine learning models. The platform is designed to be easy to use, even for non-technical users, and it can be deployed on-premises or in the cloud.

Luminal is a powerful AI copilot that helps users clean, transform, and analyze spreadsheets 10x faster. It offers fast and efficient data analysis capabilities, enabling users to perform complex operations and run AI-enabled tasks using natural language. Luminal is designed to simplify data processing tasks, saving users time and effort. With support for multiple languages and secure data hosting, Luminal is a versatile tool suitable for both personal and professional use.

SheetMagic is an AI-powered tool that allows users to perform various tasks within Google Sheets, including generating AI content, web scraping, data analysis, and data preparation. It integrates with ChatGPT, allowing users to access advanced AI capabilities without coding or hiring developers. SheetMagic is designed to enhance productivity and streamline workflows for individuals and teams.

MimicPC is a web-based platform that allows users to run various AI applications directly in their browser without the need for installation. Users can access a wide range of AI tools and applications seamlessly, making it convenient for both professionals and enthusiasts to leverage the power of artificial intelligence. With MimicPC, users can perform tasks such as image recognition, natural language processing, and data analysis with ease.

Mediar is a generative AI tool that helps users maximize the number of operations they can perform. It is designed to be easy to use and can be used for a variety of tasks, including content creation, data analysis, and software development.

Sintra is an AI-powered platform that offers a range of digital assistants to help with various tasks, from customer support and SEO to email marketing and data analysis. The platform aims to make work more enjoyable by providing efficient and effective AI helpers that can perform tasks on demand. Sintra's digital assistants are designed to streamline processes and improve productivity for individuals and businesses.

Spreadsheet Daddy is an AI-powered add-on for Google Sheets that enables users to automate tasks, generate content, extract data, and perform various other functions using advanced AI models like GPT-4 and GPT-4-32k. It seamlessly integrates with Google Sheets, allowing users to leverage the power of AI within their spreadsheets. With its user-friendly interface and diverse range of features, Spreadsheet Daddy empowers businesses and individuals to enhance their productivity and efficiency.

KYP.ai is a productivity intelligence platform that offers a 360° view of organizations across people, process, and technology dimensions. It provides instant productivity intelligence, end-to-end process optimization, holistic productivity insights, ROI-driven automation, and unparalleled scalability. The platform helps in live visibility, immediate impact, hybrid workplace management, technology landscape rationalization, and AI-powered aggregation and analysis. KYP.ai focuses on workforce enablement, no integration hassles, no-code configuration, and secure, privacy-compliant data processing.

Yogger is an AI-powered video analysis and movement assessment tool designed for coaches, trainers, physical therapists, and athletes. It allows users to track form, gather data, and analyze movement for any sport or activity in seconds. With features like AI joint tracking, range of motion visualization, and virtual assessments, Yogger helps streamline client evaluations and deliver objective scores and insights. The tool is versatile, user-friendly, and accessible from anywhere, making it a valuable asset for enhancing training, preventing injuries, and optimizing performance.

AnalyStock.ai is a financial application leveraging AI to provide users with a next-generation investment toolbox. It helps users better understand businesses, risks, and make informed investment decisions. The platform offers direct access to the stock market, powerful data-driven tools to build top-ranking portfolios, and insights into company valuations and growth prospects. AnalyStock.ai aims to optimize the investment process, offering a reliable strategy with factors like A-Score, factor investing scores for value, growth, quality, volatility, momentum, and yield. Users can discover hidden gems, fine-tune filters, access company scorecards, perform activity analysis, understand industry dynamics, evaluate capital structure, profitability, and peers' valuation. The application also provides adjustable DCF valuation, portfolio management tools, net asset value computation, monthly commentary, and an AI assistant for personalized insights and assistance.

LAMBDA is a code-free multi-agent data analysis system that utilizes large models to address data analysis challenges in complex data-driven applications. It allows users to perform complex data analysis tasks through human language instruction, seamlessly generate and debug code using two key agent roles, integrate external models and algorithms, and automatically generate reports. The system has demonstrated strong performance on various machine learning datasets, enhancing data science practice by integrating human and artificial intelligence.

Vivaria is a web application tool designed for running evaluations and conducting agent elicitation research. Users can interact with Vivaria using a web UI and a command-line interface. It allows users to start task environments based on METR Task Standard definitions, run AI agents, perform agent elicitation research, view API requests and responses, add tags and comments to runs, store results in a PostgreSQL database, sync data to Airtable, test prompts against LLMs, and authenticate using Auth0.

Phidata is a framework for building AI Assistants with memory, knowledge, and tools. It enables LLMs to have long-term conversations by storing chat history in a database, provides them with business context by storing information in a vector database, and enables them to take actions like pulling data from an API, sending emails, or querying a database. Memory and knowledge make LLMs smarter, while tools make them autonomous.

GenAI Agents is a comprehensive repository for developing and implementing Generative AI (GenAI) agents, ranging from simple conversational bots to complex multi-agent systems. It serves as a valuable resource for learning, building, and sharing GenAI agents, offering tutorials, implementations, and a platform for showcasing innovative agent creations. The repository covers a wide range of agent architectures and applications, providing step-by-step tutorials, ready-to-use implementations, and regular updates on advancements in GenAI technology.

hongbomiao.com is a personal research and development (R&D) lab that facilitates the sharing of knowledge. The repository covers a wide range of topics including web development, mobile development, desktop applications, API servers, cloud native technologies, data processing, machine learning, computer vision, embedded systems, simulation, database management, data cleaning, data orchestration, testing, ops, authentication, authorization, security, system tools, reverse engineering, Ethereum, hardware, network, guidelines, design, bots, and more. It provides detailed information on various tools, frameworks, libraries, and platforms used in these domains.

GPTMe is a tool that allows users to interact with an LLM assistant directly in their terminal in a chat-style interface. The tool provides features for the assistant to run shell commands, execute code, read/write files, and more, making it suitable for various development and terminal-based tasks. It serves as a local alternative to ChatGPT's 'Code Interpreter,' offering flexibility and privacy when using a local model. GPTMe supports code execution, file manipulation, context passing, self-correction, and works with various AI models like GPT-4. It also includes a GitHub Bot for requesting changes and operates entirely in GitHub Actions. In progress features include handling long contexts intelligently, a web UI and API for conversations, web and desktop vision, and a tree-based conversation structure.

This repository is a collection of notes and knowledge based on the 'AI and Machine Learning for Coders' book, presented in Vietnamese. It includes additional explanations, code snippets, and illustrations to aid understanding. The content is a combination of the book's teachings and the author's personal experiences, tailored to help beginners grasp the operational aspects and results of computations easily.

This project enables you to fetch liked tweets from Twitter (using Selenium), save it to JSON and Excel files, and perform initial data analysis and image captions. This is part of the initial steps for a larger personal project involving Large Language Models (LLMs).

cassIO is a framework-agnostic Python library that seamlessly integrates Apache Cassandra with ML/LLM/genAI workloads. It provides an easy-to-use interface for developers to connect their Cassandra databases to machine learning models, allowing them to perform complex data analysis and AI-powered tasks directly on their Cassandra data. cassIO is designed to be flexible and extensible, making it suitable for a wide range of use cases, from data exploration and visualization to predictive modeling and natural language processing.

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.

ERAG is an advanced system that combines lexical, semantic, text, and knowledge graph searches with conversation context to provide accurate and contextually relevant responses. This tool processes various document types, creates embeddings, builds knowledge graphs, and uses this information to answer user queries intelligently. It includes modules for interacting with web content, GitHub repositories, and performing exploratory data analysis using various language models.

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.

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.

Scira is a powerful open-source tool for analyzing and visualizing data. It provides a user-friendly interface for data exploration, cleaning, and modeling. With Scira, users can easily import datasets, perform statistical analysis, create insightful visualizations, and generate reports. The tool supports various data formats and offers a wide range of statistical functions and visualization options. Whether you are a data scientist, researcher, or student, Scira can help you uncover valuable insights from your data and communicate your findings effectively.

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.

Kaapana is an open-source toolkit for state-of-the-art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging. Obtaining large amounts of medical data necessary for developing and training modern machine learning methods is an extremely challenging effort that often fails in a multi-center setting, e.g. due to technical, organizational and legal hurdles. A federated approach where the data remains under the authority of the individual institutions and is only processed on-site is, in contrast, a promising approach ideally suited to overcome these difficulties. Following this federated concept, the goal of Kaapana is to provide a framework and a set of tools for sharing data processing algorithms, for standardized workflow design and execution as well as for performing distributed method development. This will facilitate data analysis in a compliant way enabling researchers and clinicians to perform large-scale multi-center studies. By adhering to established standards and by adopting widely used open technologies for private cloud development and containerized data processing, Kaapana integrates seamlessly with the existing clinical IT infrastructure, such as the Picture Archiving and Communication System (PACS), and ensures modularity and easy extensibility.

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.

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