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Rerun
✓ verifiedFreemium
Open-source SDK and viewer for logging, querying, and visualizing multimodal robotics data, with a paid managed Hub for scale.
88K visits/mo
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The New GitBook
✓ verifiedFreemium
Documentation platform for publishing accurate, AI-ready docs sites, with Git sync and an MCP server for AI tools.
653K visits/mo2.9K saves
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Magic Patterns
✓ verifiedFreemium
AI prototyping tool that generates UI matching your design system, letting product teams test features fast.
242K visits/mo3.8K saves
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Codeflying
✓ verifiedFreemium
Vibe-coding builder creating full-stack apps by chatting with AI.
118K visits/mo
Pricing
Open Source SDK: Free (Apache-2.0/MIT)
No public pricing
Free trial available
No public pricing
Free: 0$
Basic: 25$
Advanced: 40$
Premium: 200$
No public pricing
Core features
- ✦Open-source Python, Rust, and C++ logging SDK
- ✦Interactive desktop and web viewer for reviewing recordings
- ✦SQL and dataframe queries across logged data
- ✦Column-chunk .rrd storage format for multimodal data
- ✦PyTorch dataloader for training directly on recordings
- ✦Commercial Hub with managed catalog, SSO, and byte-range indexing
- ✦Used in robotics projects like LeRobot, Brush, and PyCuVSLAM
- ✦Publish structured documentation sites
- ✦Git sync for docs-as-code workflows
- ✦AI setup agent to build and import docs
- ✦GitBook MCP server for AI access
- ✦Enterprise controls
- ✦Free tier to start
- ✦AI UI generation from prompts
- ✦Match existing styling and design systems
- ✦Rapid, high-fidelity prototyping
- ✦Live team editing and sharing
- ✦Enterprise security and compliance
- ✦CodeFlying enables full-stack app creation via chat in minutes
- ✦Design canvas integrated directly into the IDE (VSCode/Cursor)
- ✦Agent-driven MCP canvas based on open design format
- ✦AI Multiplayer for generating screens and flows in parallel
- ✦Design as Code: Design files live in repo, versioned with Git
- ✦Pixel-perfect vector-to-code workflow
Use cases
- →Robotics teams debugging calibration and training runs
- →Visualizing and querying large multimodal sensor datasets
- →Streaming training data mixes directly to GPUs at scale
- →Sharing annotated recordings across a robotics engineering team
- →Publish product and API documentation
- →Maintain docs-as-code with Git sync
- →Make docs consumable by AI assistants
- →Import existing docs into a hosted site
- →Prototype new product features
- →Test designs with customers
- →Build design-system-consistent mockups
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- →Designing new products and features with pixel-perfect precision without leaving the development environment.
- →Eliminating design handoffs by having design and code live under one roof.
- →Accelerating workflow by using AI multiplayer to generate UI components and flows.
- →Shipping production-ready apps with guaranteed code-design alignment.
- →Integrating existing design systems directly from the codebase.
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