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Data visualization
taaft.com/data-visualization
88,240 subscribers
There are 9 AI tools for Data visualization.
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Number of tools
9
Most popular
StatPecker
StatPecker▼ Also used
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Also used for Data visualization 9
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Turn messy data into beautiful dashboards in minutes.
Giuseppe🙏 1 karmaMay 20, 2026@Exmergo VizViz makes the process of turning data into dashboards feel much simpler and more natural. Being able to upload or connect data, ask questions in plain language, and quickly get interactive visualizations is genuinely useful, especially for people who do not want to spend hours building dashboards manually. What I like most is that Viz feels focused: it is not just an AI chat tool, but a product designed to help users move from raw data to clear, shareable insights. Overall, it looks like a practical and intuitive tool for making data analysis faster and more accessible. -
Turn research ideas into scientific figure drafts. -
Turn notes into perfect infographics from 500+ designs.Hi TAAFT! I'm Henry, the founder of CartoMind. CartoMind offers a fully automated AI workflow to help you quickly organize text content and generate the perfect infographics to match. 【Why did I build this?】 When creating infographics with AI today, users are often forced to choose between two extremes. You either use generic AI image SaaS tools that trap you in complex prompt engineering and steep design learning curves with zero knowledge management, or you use products like NotebookLM. While they are fantastic for knowledge management, their infographic generation is just an afterthought, lacking design freedom and rich templates. 【Here is where CartoMind stands out:】 1. Lightweight knowledge & note management: We support uploading multiple file formats and automatically parsing text, allowing you to freely select the exact knowledge snippets you want to visualize. 2. Fully automated workflow: Based on your selected content, our AI automatically distills the key text elements and instantly matches you with the ideal infographic design from over 500 professional combinations. 3. Massive template library: A rich selection of infographic templates offering a true what-you-see-is-what-you-get experience. 【Who is using it?】 Marketers, educators, social media creators... In fact, anyone who needs to make their domain knowledge "visible" and loves to share it will find it incredibly useful. 【I can't wait for you all to try it out!】 -
Your AI financial analyst. Upload data, ask questions, get answers. -
AI-powered analytics that unlock smarter business insights.I used Analytify and found it incredibly easy to set up and integrate with Google Analytics, giving me real-time stats and page-level insights without needing any coding knowledge. -
AI spreadsheet & data analyst. 10x your productivity.I use Sourcetable for quick data analysis and visualizations with natural-language queries. I'm working with Excel files and our Postgres database. It feels like an AI analyst built into a spreadsheet for turning raw data into clear reports. (Like ChatGPT + Excel, but better.) -
Open-source web UI for training and running open models.Hi there everyone! You might know us if you're familiar in the open-source space, but at Unsloth we do a lot of things. Mainly we help you fine-tune LLMs locally and help you run LLMs more efficiently and accurately. All of this is 100% local and of course open-source. We DO NOT have paid plans currently and everything is free and open-source. We also have a sub Reddit r/unsloth and very active Discord server so if you have any questions please do ask! Thank you! :) -
Ask data questions, get instant insights, SQL, and charts — all powered -
Building reliable, interpretable AI systemsClaude — v5.0Claude Fable 5 State-of-the-art on Cognition's FrontierCode eval, scoring highest among frontier models even at medium effort. More token-efficient than prior Claude models. Stripe reported a codebase-wide migration on a 50M-line Ruby codebase done in a day, versus an estimated two-plus months by hand. Highest score of any model on Hebbia's Finance Benchmark (senior-level reasoning), with major gains in document reasoning, chart and table interpretation, and problem solving. IMC reported near-across-the-board top results on trading-analysis evals (factual lookup, conceptual reasoning, root-cause analysis, expected-value analysis). New state-of-the-art for vision tasks. Extracts precise numbers from scientific figures and can rebuild a web app's source code from screenshots alone. Needs less scaffolding: beat Pokémon FireRed with a minimal vision-only harness, where earlier models needed complex helper harnesses. Stays focused across millions of tokens on long-running tasks and improves its outputs using its own notes. With persistent file-based memory in Slay the Spire, performance improved 3x more than Opus 4.8, and it reached the final act 3x more often. Works autonomously for longer than any prior Claude model
