AI tools for “data”
942 results (tools & skills) · 266 ms · understood as category: Data & Analytics
PartyRock is Amazon's no-code AI playground. Build AI-powered apps, analyze data, and generate images in the browser — with free daily usage and no setup. Educators can run hands-on AI workshops for their learners.
Databricks AI Runtime, the `databricks air` CLI commands for submitting and managing GPU training workloads on Databricks serverless compute. Use for: writing and submitting `databricks air` workload YAML, choosing an…
Datamatics is an AI-first Digital Technologies, Operations, and CX company. We leverage Agentic AI and Intelligent Automation to optimize your operations and elevate CX
Shuttlebase is an autonomous AI platform trained on millions of real data points. It finds where your store is losing sales, tests the fix, and ships what works.
Databricks development guidance including Python SDK, Databricks Connect, CLI, and REST API. Use when working with databricks-sdk, databricks-connect, or Databricks APIs.
The data primitives to build, understand, and improve your data loop. Designed for multi-rate, multimodal data, from the first recording to massive scale.
Turn your docs, code, data or script into a video you can post, right in Claude Code or Codex. Claude Motion-style launches, explainers, data stories and shorts. No Team plan, no credits.
Trust Ingestro to prepare customer data from any source or format. AI agents build reusable workflows that run automatically on every incoming file.
IDMP datasource skill. Use it to list and inspect connections, verify connectivity before deeper metadata reads, and diagnose database or table visibility issues instead of stopping at the connection list.
PaperFig is an AI scientific figure generator that turns data and ideas into publication-ready visuals—a fast scientific figure maker for papers and journals.
Extract structured JSON, Markdown, and SERP data from any website with XCrawl, the AI-ready web scraping API with built-in proxies, crawling, and automation.
Real papers, reference checks, research data and scientific figures for your AI agent. One MCP connection; works in Claude, ChatGPT, Codex and Cursor.
Run ML model inference on FiftyOne datasets. Use when running models for detection, classification, segmentation, or embeddings. Discovers available models dynamically from the Zoo, plugin operators, or custom sources —…
Discussions at the intersection of data science and AI. Click to read AI for data science, by Hadley Wickham, a Substack publication with thousands of subscribers.
Get data-driven insights on Skool rankings, pricing, and growth metrics Skool StatsFeaturesPricingFAQContactSign InSee PlansToggle navigationFeaturesFAQPricingContactSign InSee PlansThe #1 intelligence platform for…
Design diverse eval datasets using dimension-based variation. Use when bootstrapping eval datasets, when real traces are sparse, or when existing datasets miss edge cases.
Create AI scientific illustrations, diagrams and data charts for papers, presentations and teaching. Refine results and export SVG, PPTX or chart files. Try free.
Open-source Python framework for incremental indexing. Keep code, documents, and other data current for AI agents by reprocessing changed inputs.
Track portfolio performance, analyze risk with Sharpe ratio, Sortino ratio, and 20+ metrics. Build data-driven portfolios with our free stock screener and portfolio analytics tools.
How to find things in the Atlan data catalog with the Atlan MCP tools — which of semantic_search / search_assets / get_assets / traverse_lineage / resolve_metadata / get_users to reach for, and the filter rules that…