Zenml vs ScreenplayIQ

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

Analysis reviewed Live tool data as of 2026-10-09
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At a glance

DimensionZenmlScreenplayIQ
Best ForML engineers, data scientists building production pipelinesScreenwriters, producers, studio execs predicting box office
Core FunctionalityML pipeline orchestration & agent runtime (Kitaru)AI screenplay analysis & box office prediction
Key IntegrationsKubernetes, Vertex AI, SageMaker, Airflow, MLflow, LangChainPitchTrailer
Latest NewsKitaru durable agent runtime launched (April 2026); works with Claude, LangGraph, OpenAI AgentsNo recent news
Not ForNo-code users, simple batch jobsLine editing, TV scripts, hobbyists
Zenml
Zenml

Open-source ML orchestration plus a durable agent runtime that replays real production sessions before a change ships.

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ScreenplayIQ
ScreenplayIQ

AI screenplay analysis on your draft — logline, comps, character emotional journey charts, and inline proofread fixes

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Pricing
Freemium
Paid
Plans
$0/mo
$39/mo
$999/mo
Custom
~$24 TV / ~$38 Feature (based on page length)
~$48 TV / ~$78 Feature (based on page length)
~$60 TV / ~$98 Feature (based on page length)
~$24 TV / ~$38 Feature
Popularity
18 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
WebCLIAPI
WebAPI
Categories
🕸️ Agent Frameworks & Orchestration📊 Data & Analytics⚙️ Developer Infrastructure
📖 Fiction & Screenwriting
Features
Declarative pipeline DAGs via Python decorators
Pluggable stack architecture across clouds and orchestrators
Automatic artifact versioning and lineage tracking
Built-in basic model registry with versioning
Smart caching to skip unchanged pipeline steps
Distributed execution on Kubernetes, Vertex AI, SageMaker, AzureML, Kubeflow, Airflow
Kitaru durable execution with checkpoints and durable waits
Replay boundaries and inspectable execution history for agents
Replay-based evals in Python and TypeScript
Convert production traces into replayable test scenarios
Cohorts: immutable sets of sessions for evaluation
Evaluators and side-by-side run-vs-run comparison
Experiment configuration: swap model, prompt, or tool policy
Session and trace import from Langfuse, LangSmith, Braintrust, Logfire and Arize Phoenix
Self-hosted deployment in Docker or your own VPC
Generate a logline from a full screenplay draft
Surface comparable films and TV shows for market fit
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
Apache Airflow
Kubeflow
Google Cloud Vertex AI
Amazon SageMaker
AzureML
Kubernetes
MLflow
Weights & Biases
LangChain
LangGraph
CrewAI
AutoGen
OpenAI Agents SDK
Claude Agent SDK
Docker

Who should pick which

  • Screenwriter seeking market feedback
    Pick: ScreenplayIQ

    ScreenplayIQ provides narrative structure analysis and box office predictions, helping writers understand script marketability.

  • ML engineer building production pipelines
    Pick: Zenml

    Zenml's declarative pipeline DAGs, artifact versioning, and pluggable stacks enable reproducible, scalable ML workflows.

  • Producer evaluating script investments
    Pick: ScreenplayIQ

    Producers can leverage comparative market data and box office predictions to make data-driven slate decisions.

  • AI agent developer needing durable runtime
    Pick: Zenml

    With Kitaru, Zenml provides crash recovery, checkpoint replay, and inspectable runs for LangGraph or OpenAI Agents.

  • Studio executive analyzing script portfolio
    Pick: ScreenplayIQ

    ScreenplayIQ's Studio tier ($49/mo) supports collaborative analysis for teams up to 5, ideal for internal script coverage.

Frequently Asked Questions

Can ScreenplayIQ edit my script?

No. ScreenplayIQ focuses on structural analysis and box office prediction, not line-by-line editing or grammar checking.

Can Zenml run on my laptop?

Yes. Zenml runs locally with a SQLite backend and can switch to cloud orchestrators (Kubernetes, Vertex AI) without code changes.

Does ScreenplayIQ support TV scripts?

No. It only supports feature films (English).

Is Zenml free?

Yes, the open-source core is free. Paid tiers add RBAC, audit logs, Codespaces, and support.

What is Kitaru?

Kitaru is Zenml's open-source durable execution runtime for AI agents, enabling crash recovery, checkpoint replay, and human-in-the-loop.

Does ScreenplayIQ integrate with other tools?

It integrates with PitchTrailer for pitch deck generation. No other integrations are listed.

Can Zenml manage ML agents?

Yes, via Kitaru. It works with Claude, LangGraph, OpenAI Agents, and more.

Which tool has better API access?

ScreenplayIQ offers API access on its Studio tier; Zenml has a complete Python SDK and CLI for pipeline definition and execution.

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Last reviewed: July 3, 2026