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 saves
devActivity logo
devActivity
✓ verifiedFreemium

GitHub-based engineering analytics that tracks contributions, automates performance reviews and adds gamification for dev teams.

52K visits/mo
Sherpa Coder logo
Sherpa Coder
✓ verifiedFree

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

Google Opal logo
Google Opal
✓ verifiedFree

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

2.1M visits/mo
Miniapps.ai logo
Miniapps.ai
✓ verifiedFreemium

Marketplace and no-code builder for AI mini-apps and chatbots, with one-place access to many models and embeds.

2.3M visits/mo
Pricing

No public pricing

Free: $0/contributor (up to 7 contributors, 90-day retention)
Premium: $10/contributor (unlimited contributors, AI insights)

No public pricing

No public pricing

Free: $0 (100 credits/day, basic models)
Standard: $9.99/mo (8,000 credits, all models)
Pro: $39/mo (35,000 credits, API and embeds)
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)
  • Contribution and work-quality analytics
  • Automated, AI-powered performance reviews
  • Retrospective insights
  • Operational bottleneck alerts
  • Gamification with XP, levels and leaderboards
  • Uses Git metadata without accessing source code
  • 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
  • Build AI mini-apps from natural-language prompts
  • Visual editor for prompt/tool workflows
  • Share created apps with others
  • No-code AI app prototyping
  • Access to many AI models in one place
  • Create no-code AI mini-apps and chatbots
  • Community app/game marketplace
  • Embed apps on websites
  • Image, audio and video generation apps
Use cases
  • Creating and manipulating datasets
  • Training small machine learning models
  • Implementing advanced training and inference logic
  • Building applications that require tensor computations
  • Automating developer performance reviews
  • Spotting delivery bottlenecks
  • Generating retrospective insights
  • Motivating teams via gamification
  • 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
  • Prototyping an AI workflow quickly
  • Sharing a custom AI mini-app
  • Automating a task with chained prompts
  • Building custom AI chatbots
  • Discovering community AI apps
  • Embedding AI apps on a site
  • Generating images, music and text
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