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Compare tools

Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

Coder
✓ verifiedFreemium

Self-hosted cloud development environments and AI-agent governance, letting enterprises run coding agents on their own infrastructure.

👁 208K/mo41
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✓ verifiedFreemium

Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.

👁 775K/mo
Sherpa Coder
✓ verifiedFree

VS Code extension letting developers chat with their own custom OpenAI assistants without leaving the editor.

Angular.dev
✓ verifiedFree

Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.

👁 1.1M/mo
Google Opal
✓ verifiedFree

Google Labs experiment for building and sharing AI mini-apps from natural-language prompts, no coding required.

👁 2.1M/mo
Pricing
Community: $0 (open-source, self-hosted, unlimited workspaces)

Free trial available

No public pricing

No public pricing

No public pricing

No public pricing

Core features
  • Self-hosted workspaces with desktop and web IDEs
  • Coder Agents run coding agents on isolated infrastructure
  • AI Governance gateway for LLM usage control
  • SSO (OpenID Connect) and role/group sync
  • Audit logging and resource quotas
  • Multi-organization access controls
  • High availability and workspace proxies
  • Open-source AI code assistant
  • Customizable autocomplete
  • In-editor AI chat
  • Community-built coding agent
  • in-editor chat with OpenAI assistants
  • workspace source-code context sharing
  • support for custom, user-defined assistants
  • secure management of the user's OpenAI account
  • 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
  • Build AI mini-apps from natural-language prompts
  • Visual editor for prompt/tool workflows
  • Share created apps with others
  • No-code AI app prototyping
Use cases
  • Standardize developer environments
  • Run AI coding agents securely on-prem
  • Enforce governance and compliance
  • Cut VDI costs
  • Speed up developer onboarding
  • Get AI code completions while coding
  • Ask questions about code in the editor
  • Build on an open-source coding-agent foundation
  • getting coding help without switching out of VS Code
  • using a personalized OpenAI assistant tuned to a project
  • quick in-editor Q&A while writing code
  • Building scalable single-page apps
  • Enterprise web application development
  • Performance-critical front ends
  • Learning modern web development
  • Prototyping an AI workflow quickly
  • Sharing a custom AI mini-app
  • Automating a task with chained prompts
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