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One-click bug-reporting tool that auto-captures console, network logs and repro steps for developers.
Jupyter-native AI agent that remembers a data project across sessions and reads chart/plot outputs, not just code.
AI prototyping tool that generates UI matching your design system, letting product teams test features fast.
AI app builder that turns chat prompts into working web apps and sites, with credit-based build and deploy.
Appy Pie's AI app builder turns prompts into publishable native iOS/Android apps with backend, payments and push, aimed at non-coders.
Free trial available
No public pricing
No public pricing
No public pricing
Free trial available
- ✦One-click bug capture via browser extension
- ✦Automatic repro steps
- ✦Console, network and device logs
- ✦Instant replay of recent activity
- ✦Backend tracing and an AI debugger
- ✦Integrations with Jira, Linear, GitHub and Slack
- ✦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
- ✦AI UI generation from prompts
- ✦Match existing styling and design systems
- ✦Rapid, high-fidelity prototyping
- ✦Live team editing and sharing
- ✦Enterprise security and compliance
- ✦Chat-to-app and website generation
- ✦Real-time prototype building
- ✦One-click deploy and hosting
- ✦Templates to start projects
- ✦Credit-based building with shared workspaces
- ✦You own your code and data
- ✦Prompt-to-app AI generator
- ✦Native Android and iOS binaries
- ✦Included backend, payments and push
- ✦Visual editor with natural-language edits
- ✦Store publishing assistance
- ✦Prompts understood in 8 languages
- →Filing detailed bug reports
- →Reproducing issues faster in QA
- →Sharing debug context with engineers
- →Triaging support bug reports
- →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
- →Prototype new product features
- →Test designs with customers
- →Build design-system-consistent mockups
- →Build web apps without coding
- →Prototype product ideas quickly
- →Create landing pages and sites
- →Ship internal tools
- →Launching native apps without coding
- →Building apps for SMB verticals
- →Publishing to Google Play and the App Store
- →Adding payments and push to an app