Azure Open Datasets
Improve the accuracy of your machine learning models with publicly available datasets. Save time on data discovery and preparation by using curated datasets that are ready to use in machine learning workflows and easy to access from Azure services. Account for real-world factors that can impact business outcomes. By incorporating features from curated datasets into your machine learning models, improve the accuracy of predictions and reduce data preparation time. Share datasets with a growing community of data scientists and developers. Deliver insights at hyperscale using Azure Open Datasets with Azure’s machine learning and data analytics solutions. There's no additional charge for using most Open Datasets. Pay only for Azure services consumed while using Open Datasets, such as virtual machine instances, storage, networking resources, and machine learning. Curated open data made easily accessible on Azure.
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OORT DataHub
Data Collection and Labeling for AI Innovation.
Transform your AI development with our decentralized platform that connects you to worldwide data contributors. We combine global crowdsourcing with blockchain verification to deliver diverse, traceable datasets.
Global Network: Ensure AI models are trained on data that reflects diverse perspectives, reducing bias, and enhancing inclusivity.
Distributed and Transparent: Every piece of data is timestamped for provenance stored securely stored in the OORT cloud , and verified for integrity, creating a trustless ecosystem.
Ethical and Responsible AI Development: Ensure contributors retain autonomy with data ownership while making their data available for AI innovation in a transparent, fair, and secure environment
Quality Assured: Human verification ensures data meets rigorous standards
Access diverse data at scale. Verify data integrity. Get human-validated datasets for AI. Reduce costs while maintaining quality. Scale globally.
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SpySERP
SpySERP is an advanced SEO rank-tracking and analysis tool built for agencies, freelancers, marketing teams, and website owners who want detailed, up-to-date insight into how their sites are performing across search engines. It tracks keyword rankings on major search engines (like Google, Bing, Yahoo, and more) for both desktop and mobile, and allows you to monitor positions globally or by specific location (country, region, or city). It supports competitor analysis; you can add competitor domains and track their keyword performance, compare their rankings and examine titles, snippets, and URLs. It offers deep keyword data, including clustering similar keywords, grouping them semantically to avoid overlap and maximize SEO efficiency. You can view historical position data, analyze SERP features (snippets, local packs, etc.), and export detailed reports.
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KeywordOrbit
KeywordOrbit is a desktop keyword research app for Windows and Mac that expands Google Autocomplete into thousands of real search queries. It attaches monthly search volume, CPC, and 24-month trend history through the user's own free Google Ads account (Keyword Planner integration) at no extra cost, or via an optional pay-as-you-go API mode. A one-click clustering engine groups thousands of keywords into topic clusters by search intent, with total monthly demand per cluster - turning a flat keyword list into a content plan. Includes built-in Google Trends analysis (interest over time, top countries, related queries), multi-tab projects, advanced filtering, favorites, tri-state filters, and CSV export, with grid performance built for 50,000+ keyword datasets. Projects save as local files: research data stays on the user's machine. Founding-member pricing from $19/month or a $199 one-time lifetime license. $1 7-day full-access trial. Windows builds code-signed; macOS builds notarized.
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