Bocoel vs ScreenplayIQ

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

Analysis reviewed Live tool data as of 2026-10-18
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At a glance

DimensionBocoelScreenplayIQ
Target UsersML researchers, engineersScreenwriters, producers, studio execs
Core PurposeBayesian optimization for LLM evaluation cost reductionAI screenplay analysis & box office prediction
Key IntegrationsHugging Face Transformers, DatasetsPitchTrailer
Not ForProduction deployments (archived), GUI or no-code, real-time evaluationLine-by-line editing, TV/short films, hobbyists needing free full-feature, scripts >150 pages
Latest NewsNo recent newsNo recent news

If you need to slash LLM evaluation costs using Bayesian optimization in a Python research context, Bocoel is a powerful free library. For screenwriters or executives wanting data-driven script feedback and box office forecasts, ScreenplayIQ offers actionable insights with paid tiers. Choose based on your domain: ML research or film industry.

Bocoel
Bocoel

Bocoel is an archived BSD-3 Python library that cuts LLM benchmark runs to tens of samples with Bayesian optimization.

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ScreenplayIQ
ScreenplayIQ

AI screenplay analysis that returns a logline, comps, character arcs, and proofed fixes on your draft

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Pricing
Free
Paid
Plans
—
~$24 TV / ~$38 Feature
~$48 TV / ~$78 Feature
~$60 TV / ~$98 Feature
~$24 TV / ~$38 Feature
Custom
Popularity
5 views
7.5k views
Skill Level
Advanced
Intermediate
API Available
Platforms
CLIAPI
WebAPI
Categories
📡 LLM Observability & Evals
📖 Fiction & Screenwriting
Features
Bayesian optimization selects an informative subset of benchmark samples to evaluate
Gaussian process backbone for surrogate inference over the embedding space
Acquisition function decides which corpus sample the language model evaluates next
Embedding-based corpus encoding that is reusable across evaluation runs
Corpus-to-model evaluation: measures how well a model covers a dataset
Model-to-corpus evaluation: measures how well a dataset probes a model
Modular components: Index, Storage, Embedder, Corpus, Score, Adaptor, Optimizer, Exam
Hugging Face Transformers integration for language model loading
Hugging Face Datasets integration for corpus loading
Out-of-the-box model families including GPT-2, Pythia and LLaMA
Index options including Faiss, Hnswlib, Polar and Whitening
N-sphere representation and whitening of the latent space to improve evaluation quality
Scoring via BLEU (NLTK, SacreBLEU), Rouge, RougeScore and Exact
Manager and Exam utilities for running and managing evaluations (v0.0.4)
Metrics reporting how well the model and corpus perform (v0.1.0)
Generate a logline from a full screenplay draft
Surface comparable films and TV shows for market framing
Break a script into structured story points
Produce a full synopsis without reading the whole draft
Write character synopses for the full cast
Create visual representations of characters
Chart each character's emotional journey across the script
Deliver a full assessment analysis of the draft
Break down the story's themes
Proofread report with inline highlights on every issue
Recommend a fix for each flagged issue
Build a custom analysis package outside the presets
Price analysis by page length, quoted separately for TV and features
Store uploaded scripts in encrypted, siloed storage
WGA-compliant handling of submitted scripts
Integrations
Hugging Face Transformers
Hugging Face Datasets

Who should pick which

  • ML researcher evaluating LLMs on a tight budget
    Pick: Bocoel

    Bocoel uses Bayesian optimization to reduce evaluation samples, cutting compute costs. It's free and integrates with Hugging Face models.

  • Screenwriter seeking marketability feedback
    Pick: ScreenplayIQ

    ScreenplayIQ provides structural analysis and box office prediction, plus comparative market data on the Pro tier.

  • Producer evaluating portfolio of scripts
    Pick: ScreenplayIQ

    Studio tier allows up to 5 users and API access, suitable for collaborative evaluation and integration into workflows.

  • ML engineer prototyping cost-efficient evaluation pipeline
    Pick: Bocoel

    Bocoel's modular components and integration with HF Datasets make it easy to embed in Python scripts for rapid prototyping.

Frequently Asked Questions

Bocoel vs ScreenplayIQ: which should you choose?

If you need to slash LLM evaluation costs using Bayesian optimization in a Python research context, Bocoel is a powerful free library. For screenwriters or executives wanting data-driven script feedback and box office forecasts, ScreenplayIQ offers actionable insights with paid tiers. Choose based on your domain: ML research or film industry.

Is Bocoel suitable for production use?

No, Bocoel is archived and not maintained, so it's best for research and prototyping, not production deployments.

Does ScreenplayIQ support TV scripts?

No, it only supports English feature films. TV writers or short film creators should look elsewhere.

Can I use Bocoel with any LLM?

It integrates with Hugging Face Transformers, supporting GPT-2, Pythia, LLaMA, and similar models. But it may require custom code for others.

What export formats does ScreenplayIQ offer?

It exports reports as PDF and provides API access for programmatic retrieval.

Is Bocoel free?

Yes, it's open-source and free to use, including all features.

Does ScreenplayIQ have a free tier?

Yes, it offers 1 analysis per month for free, with limited features.

What is the max script length for ScreenplayIQ?

Scripts over 150 pages may exceed the AI context window limitation.

Does Bocoel require GPU?

It can run on CPU, but for large models, a GPU speeds up embedding generation and inference.

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Last reviewed: July 3, 2026