Notebook Intelligence vs ScreenplayIQ

Side-by-side comparison of features, pricing, and ratings

Live tool data as of 2026-07-17
Reviewed by our team on
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At a glance

DimensionNotebook IntelligenceScreenplayIQ
Pricingfree · from Free $0/mopaid · from Story Analysis ~$24 for TV / ~$38 for Feature
Best forData scientists using JupyterLab wanting AI-assisted coding with agentic capabilities, Teams needing managed AI policies (provider locking, model endpoints) for JupyterHubScreenwriters seeking data-driven feedback on script marketability, Producers evaluating potential box office returns
Standout featuresFirst-class Claude Code integration with sessions, Skills, Plugins, and MCP · GitHub Copilot chat and completion models · Ollama local model support (fully offline)AI-powered screenplay analysis with structural feedback · Box office performance prediction · PitchTrailer integration for generating pitch decks
Viability score87/10075/100
APINoYes

Notebook Intelligence is the stronger pick for data scientists using jupyterlab wanting ai-assisted coding with agentic capabilities; ScreenplayIQ fits better for screenwriters seeking data-driven feedback on script marketability.

Built from live tool data, last verified 2026-07-17.

Notebook Intelligence
Notebook Intelligence

Agentic AI coding in JupyterLab with Claude Code, Copilot, Ollama & OpenAI – MCP, Skills, admin policies

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ScreenplayIQ
ScreenplayIQ

AI script analysis with box office prediction and tailored feedback.

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Pricing
Free
Paid
Plans
$0/mo
~$24 for TV / ~$38 for Feature
~$48 for TV / ~$78 for Feature
~$60 for TV / ~$98 for Feature
~$24 for TV / ~$38 for Feature
~$24 for TV / ~$38 for Feature
~$118 for TV / ~$198 for Feature
Popularity
1 views
7.5k views
Skill Level
Advanced
Intermediate
API Available
Platforms
WebDesktopCLI
WebAPI
Categories
💻 Code & Development📊 Data & Analytics
📊 Data & Analytics
Features
First-class Claude Code integration with sessions, Skills, Plugins, and MCP
GitHub Copilot chat and completion models
Ollama local model support (fully offline)
OpenAI-compatible and LiteLLM-compatible endpoints
Inline chat on any code cell (Cmd+I/Ctrl+I)
Agent mode: creates, edits, runs cells, and fixes errors autonomously
Chat sidebar with tool-call status cards and inline diffs
Coding-agent launcher tiles from JupyterLab launcher
Admin policy controls via environment variables (force-on/off/user-choice)
Sync organization-wide Skills manifest
MCP server management for custom tools, databases, APIs
Cell output actions: Explain/Ask/Troubleshoot
Image attachments in chat
Streaming inline-chat responses
Security passes: MCP stdio-command allowlist and filesystem token-password check
AI-powered screenplay analysis with structural feedback
Box office performance prediction
PitchTrailer integration for generating pitch decks
Beat sheet generation for pacing analysis
Visual heatmap of dialogue and pacing
Genre classification
Character arc analysis and emotional journey charts
Comparative market data against top-grossing films
Export reports as PDF
Collaborative workspace (up to 5 users)
Custom genre templates
API access
Advanced analytics dashboard
Priority support
Dedicated account manager
Integrations
Claude Code
GitHub Copilot
Ollama
OpenAI-compatible endpoints
LiteLLM
vLLM
PitchTrailer

Who should pick which

  • Data scientist coding in JupyterLab
    Pick: Notebook Intelligence

    NBI integrates directly with JupyterLab, supports multiple AI models, and agent mode automates repetitive coding tasks.

  • AI researcher needing offline models
    Pick: Notebook Intelligence

    NBI supports Ollama local models for fully offline use, ensuring data privacy and no API costs.

  • Studio executive evaluating script ROI
    Pick: ScreenplayIQ

    ScreenplayIQ provides box office predictions and comparative market data to quantify a script's potential.

  • Screenwriter wanting structural feedback
    Pick: ScreenplayIQ

    It offers beat sheets, pacing heatmaps, and character arc analysis tailored for feature film scripts.

  • IT admin managing AI policies in JupyterHub
    Pick: Notebook Intelligence

    NBI's admin policies allow force-enabling providers, Skills, and MCP across the organization.

Frequently Asked Questions

Which is better, Notebook Intelligence or ScreenplayIQ?

The best choice between Notebook Intelligence and ScreenplayIQ depends on your specific use case — we compare them independently on features, current pricing, integrations, and real-world signals (with an on-demand sentiment scan available for each). See the side-by-side breakdown above to match them to your needs.

What are the main differences between Notebook Intelligence and ScreenplayIQ?

The key differences include pricing model, feature set, platform support, and skill level requirements. Review the full comparison on RightAIChoice for a detailed breakdown.

Is there a free version of Notebook Intelligence or ScreenplayIQ?

Check the pricing section in the comparison for the latest pricing details on both tools, including free tiers, trial options, and paid plans.

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