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Jupyter-native AI agent that remembers a data project across sessions and reads chart/plot outputs, not just code.
AI codebase assistant that chats with your repos to search, debug, review PRs, and generate docs and unit tests.
Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.
No-code AI website builder generating full sites from a text prompt, image, or URL with a visual editor and one-click publishing.
No public pricing
No public pricing
No public pricing
Free trial available
No public pricing
- ✦Fast tensor operations
- ✦Differentiable tensors for gradient-based optimization
- ✦Network connectivity
- ✦Integration with Bun and Flashlight
- ✦Support for GPU computation with CUDA (Linux) and CPU computation (macOS)
- ✦Cross-session project memory recalling prior decisions and state
- ✦Autonomous execution of long, multi-step notebook tasks
- ✦Reads cell outputs (plots, tables, metrics), not just code
- ✦In-notebook cell-level assistance and error fixing
- ✦Installs directly into existing JupyterLab via pip, no new editor
- ✦Concept explanations with runnable example cells
- ✦Chat with your repositories
- ✦Natural-language codebase search
- ✦Fast code indexing
- ✦AI pull-request and commit review
- ✦Automated documentation generation
- ✦AI unit-test generation
- ✦Signals-based fine-grained reactivity
- ✦Built-in control flow and deferrable views
- ✦Server-side rendering and hydration
- ✦First-party routing, forms and dependency injection
- ✦AI-forward tooling and MCP resources
- ✦In-browser tutorials and playground
- ✦AI website generation from text prompts, images, or reference URLs
- ✦Visual point-and-click editor for styling and layout changes
- ✦500+ industry templates as customizable starting points
- ✦One-click publishing with custom domains and built-in SEO
- ✦Mobile-responsive design applied automatically
- ✦Built-in backend (database, functions) and integrations like Stripe and Calendly
- ✦Agency features for managing multiple client sites and white-label branding
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Data scientists running multi-week model iteration projects
- →Domain experts (e.g. risk/fintech) who know the problem but not deep Python
- →Researchers wanting an agent that remembers project context across days
- →Analysts needing help understanding unfamiliar algorithms or libraries
- →Onboard new developers to a codebase
- →Resolve bugs faster
- →Generate docs and tests automatically
- →Review pull requests with AI
- →Building scalable single-page apps
- →Enterprise web application development
- →Performance-critical front ends
- →Learning modern web development
- →Generating a business, portfolio, or e-commerce website from a description
- →Recreating a design from a screenshot or Figma mockup
- →Launching landing pages quickly without hiring a developer
- →Running an agency managing many client sites under one account