Data analysis
There are 100 Free AI tools for Data analysis.
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Noel Ortiz🛠️ 1 tool 🙏 5 karmaNov 4, 2025@TinkeryHey everyone! It's Noel, cofounder of Tinkery. We launched recently, growing rapidly and always welcoming feedback to continue improving the platform. Please reach out! -
How has this not received a single review. It’s a brilliant analytical writer of up to 5,000 words
Specialized tools 86
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Chat with your data - AI-driven data analysis and visualization tool.I really like DataLine, but I'm kinda biased cause I built it.
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AI-Powered data analyst on your phone starting with Shopify
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Your personal AI assistant for information management
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Analyze data effortlessly with AI-powered code generation.
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Turn Datasette into a ChatGPT plugin for data queries.
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Talk to your data with AI-powered text interfaceRead the terms and conditions about data usage, not nice...
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Powerful spreadsheet app with AI and data toolsNice spreadsheet tool. Good alternative to Excel and Google Sheets.
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Bridge your data and AI for smarter answers.Very good AI tool for data analysis. Besides, it provides comprehensive AI chat capability and multimedia input and output action, like generating image, read image, read voice, generate voice, etc.
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From data to insights in seconds, right in your browser.
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Bulk web search and no-code analysis with AISurprisingly powerful data transformation tool for data scientists and data analysts. Quick onboarding and easy visual interface. I used AI for sentiment analysis and categorization of game reviews for dataset over 20,000 rows, works pretty fine.
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Conversational AI Data Agent -
AI-powered CSV processing made simple
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AI-powered data analysis, zero code required.
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Explore anything. Connect the dots.Probably the most fun way to explore a topic, powered by GPT. Albus is a live board that will help you explore any topic you like in new ways, from different perspectives. Think of it as Google meets Pinterest.
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Unlock enterprise content value with secure AI.
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AI Tool to Query Excel, CSV, PDF files using natural language. -
Automate exploratory data analysis with AI
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Unleash your data's potential for powerful insights.
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AI-Copilot for all your data analytic needs.
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From messy spreadsheets to insights in secondsData narration and augmentation are valuable tools from datumfuse.ai
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Personal Synthetic Data Analyst – Available 24/7Great tool, offers a lot of data story suggestion and detailed charts.
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AI-powered spreadsheets for faster, smarter data analysis.
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Secure enterprise AI that transforms your business.
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Data cleaning & visualization for insights gained.It is the ease of use for me. DataSquirrel is fast, the UI is super intuitive, and the guided analysis feature is highly convenient. I have officially moved from uploading CSV files from Google sheet to DataSquirrel. Within minutes, I can visualize my data and interpreting it becomes super simple.
Also used for Data analysis 5
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DeepSeek — v3.2Introduced DeepSeek Sparse Attention (DSA), a new sparse-attention system that greatly reduces compute and memory usage. Long-context performance improved, enabling faster processing of long documents, large prompts, and extended conversations. Inference cost significantly reduced — API pricing cut by more than half, making large-scale usage much more affordable. Model efficiency improved while maintaining performance similar to DeepSeek V3.1 on most tasks. Strong performance on reasoning, coding, and QA tasks, with some areas showing slight improvements. Continued support for chat mode and reasoner mode, now optimized with V3.2 architecture. Released with open-source weights, code, and tooling for easy deployment and experimentation.
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Productivity-focused AI companion powered with tools from video understanding to web searchOpenVery good AI assistant, that helped me in my everyday life, by making the tasks for myself, asking David about the things I might not know and many more. I highly recommend.
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Mistral AI — v3New Apache 2.0 open license for the whole family, instead of the older research-style license Switch to a Mixture-of-Experts architecture for the flagship (more total params, fewer active, better efficiency) Multimodal by default, with built-in image understanding instead of separate vision models Context window doubled to 256k tokens for the flagship and small models Expanded small model lineup (Ministral 3B/8B/14B, base/instruct/reasoning) tuned for edge and reasoning use cases, with much lower API prices overall
