toolspool

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

Thin 'Lingbot-map' agent listing on github.com with zero traffic; too thin to tell.

5.2K
Coder
✓ verifiedFreemium

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

👁 208K/mo41
Workik
✓ verifiedFreemium

AI coding assistant that gathers project context to plan, generate, test and ship code across the SDLC via IDE and chat integrations.

👁 210K/mo
Angular.dev
✓ verifiedFree

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

👁 1.1M/mo
Atoms
✓ verifiedFreemium

No-code AI platform using multi-agent 'employees' to research, build, deploy and market full-stack apps from a prompt.

👁 619K/mo15K
Pricing

No public pricing

Community: $0 (open-source, self-hosted, unlimited workspaces)

Free trial available

Trial: $0/month (20 AI requests on signup, 7 requests/day, 50 free flow runs, up to 3 users)
Starter: $15/month billed annually or $25/month (20M standard AI tokens, 1,000 flow runs)
Premium: $30/month billed annually or $50/month (40M standard + 4M advanced AI tokens, 3,000 flow runs)
Elite: $80/month billed annually or $150/month (100M standard + 10M advanced AI tokens, 10,000 flow runs)
Tailored: $62/month (custom AI token allocation)

Free trial available

No public pricing

Free: $0/mo (15 credits/day)
Pro: from $20/mo (100 credits)
Max: from $100/mo (500 credits)
Core features
  • 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)
  • 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
  • Automatic context-gathering from connected engineering sources
  • AI-generated code, tests and pull requests from tickets
  • Task planning that breaks complex work into subtasks
  • Auto-updating engineering documentation
  • Vector search over embedded project data
  • Multiple selectable AI models (GPT, Gemini, Claude, Llama, etc.)
  • Engineering productivity analytics dashboard
  • 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
  • Multi-agent AI team (PM, engineer, analyst, etc.)
  • Chat-to-build full-stack apps
  • Built-in backend: auth, database, Stripe
  • SEO and ads agents
  • Race Mode across multiple models
  • Code export and GitHub sync
Use cases
  • Creating and manipulating datasets
  • Training small machine learning models
  • Implementing advanced training and inference logic
  • Building applications that require tensor computations
  • Standardize developer environments
  • Run AI coding agents securely on-prem
  • Enforce governance and compliance
  • Cut VDI costs
  • Speed up developer onboarding
  • Engineering teams automating ticket-to-PR workflows
  • Developers wanting AI-assisted debugging and test generation
  • Engineering managers tracking AI-driven productivity gains
  • Teams centralizing documentation from scattered sources
  • Building scalable single-page apps
  • Enterprise web application development
  • Performance-critical front ends
  • Learning modern web development
  • Build SaaS and e-commerce apps
  • Launch MVPs in minutes
  • Add payments and user login
  • Drive SEO and ad growth
  • Export code and self-host
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