Search Results for "ai data analyst"
Sort By:
Showing 8 open source projects for "ai data analyst"
View related business solutions-
Try Google Cloud Risk-Free With $300 in CreditUse your credit across every product. Compute, storage, AI, analytics. When it runs out, 20+ products stay free. You only pay when you choose to.
-
Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI. Switch between models without switching platforms.
-
1
Doctor Dok
Doctor Dok is an AI based medical data framework
...Convert all your Blood Tests, MRI Scans, TK Scans, Visit reports, and Hospital Admission Reports to JSON, safely store in the cloud, and discuss, annotate, and translate them with AI. Doctor Dok is a secure storage, digitization, sharing, and AI discovery platform for all your family and/or folder health data. All health history - digitalized - accessible anywhere from Mobile or Desktop. Using AI you may translate your health records to one of 50+ languages - making abroad health services more accessible. Doctor Dok uses AI to OCR even a hardly readable photo of your health documents. ... -
2
Better Stack JavaScript client
Better Stack JavaScript client
...Get answers fast with a powerful SQL query builder. No need to learn a new querying language or ask your data analyst. -
3
Markdown Site
An open-source publishing framework built for AI agents and developers
...The framework supports an efficient authoring experience via a simple terminal sync command that keeps content synchronized across connected browsers, AI tools, and discovery engines. By leveraging Convex for backend real-time data management and Netlify for static hosting, markdown-site enables rich publishing features like SEO optimization, full-text search, analytics dashboards, and AI-indexed content tailored to LLM workflows. -
4
dxos
TypeScript implementation of the DXOS protocols, SDK, toolchain
DXOS is a decentralized operating system framework that empowers developers to build local-first, collaborative applications without relying on central servers. By providing a comprehensive SDK and toolchain, DXOS facilitates the creation of apps that prioritize user privacy, offline functionality, and seamless peer-to-peer synchronization. Its flagship application, Composer, exemplifies the platform's capabilities by enabling users to organize and sync knowledge across devices, with support... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
5
Visual Blocks
Visual Blocks for ML is a Google visual programming framework
Visual Blocks is a node-based, in-browser environment for building AI and data-processing workflows with drag-and-drop components. It lets you connect sources, transforms, models, and visualizers into a live graph, so changes propagate instantly and results are observable without writing glue code. Under the hood it leans on web-friendly runtimes (e.g., WebGPU/WebGL/WebNN or TensorFlow.js backends) to execute pipelines locally, which is great for demos, teaching, and privacy-sensitive prototypes. ... -
6
Xata Agent
AI agent expert in PostgreSQL
Xata Agent is a local development tool that provides a seamless integration experience for developers working with Xata, a serverless database platform. It runs a local proxy that mimics production behavior, allowing developers to test and develop with local credentials, preview branches, and schema changes. The agent is built for productivity, enabling tight CLI and Git integration for data workflows. -
7
FastMCP Framework
A TypeScript framework for building MCP servers
...Because it’s built in TypeScript and designed with modern deployment targets (Node.js, Cloudflare Workers, etc), it aims to support production-ready MCP servers with strong type safety and extensibility. Developers can use it to build server back-ends that expose data or capabilities to LLM applications in a standardized way, reducing the custom boilerplate required for integrating with AI systems. It includes tooling for development (examples, CLI) and is open-source, inviting contributions and extensions. -
8
VulcanSQL
Data API Framework for AI Agents and Data Apps
Vulcan SQL is a modern data API framework that lets you build secure and scalable data APIs directly from SQL files. Designed for data teams, it allows the definition of parameterized queries, policy enforcement, and transformation layers using familiar SQL syntax. Vulcan SQL integrates with BI tools and data warehouses, making it easy to expose internal datasets as RESTful APIs.
- Previous
- You're on page 1
- Next
