Container Diet vs Unprompt: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Container Diet and Unprompt — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Container Diet
k1lgor
AI-powered CLI that analyzes Docker images and Dockerfiles to provide context-aware, actionable optimization advice to slim images.
Key features
- CLI Analysis: Runs as a command-line tool to inspect Docker images and Dockerfiles and produce readable reports for developers.
- Context-Aware Recommendations: Uses AI to generate optimization advice tailored to the specific Dockerfile and image contents rather than generic tips.
- Dockerfile Evaluation: Identifies inefficiencies in Dockerfile instructions (for example build dependencies or unnecessary layers) and suggests concrete edits.
- Size Reduction Guidance: Highlights packages, files, and layers that contribute most to image size and recommends removal or substitution strategies.
- Open-Source Distribution: Provided as a lightweight, community-accessible project that can be run locally and integrated into development workflows.
- Analyzes Docker images and Dockerfiles to identify optimization opportunities
- Provides actionable, context-aware optimization advice
- Targets Docker image size reduction and efficiency improvements
- Presented as a web-hosted project (GitHub Pages) — user interface exposed via website
- No API, CLI, or integration details are specified on the provided page
Best for
- Pre-deployment Image Slimming: Analyze production container images to reduce registry storage and lower network transfer times for deployments.
- CI Integration for Preventing Bloat: Integrate into CI pipelines to detect regressions in image size and enforce optimization guidance before merging.
- Dockerfile Hardening and Cleanup: Review Dockerfiles to find leftover build dependencies, redundant steps, or opportunities for multi-stage builds.
- Cost Reduction for Cloud Deployments: Reduce container size to lower bandwidth and storage costs when distributing images across environments.
- Audit Third-Party Images: Inspect base or third-party images to identify unnecessary components and decide whether to replace or trim them.
- Reduce Docker image sizes for faster pull and deployment times
- Optimize CI/CD pipelines by producing smaller build artifacts
- Minimize container attack surface by removing unnecessary packages and layers
- Educate developers on Dockerfile best practices and layer optimization
Unprompt
Polymorph
iPhone and Mac app that measures your AI usage in tokens, API-rate cost and water, without judging it.
Key features
- Automatic Measurement: Mac reads local AI tool logs and iPhone uses Screen Time, so there is nothing to count manually.
- Evening Check-In: A one-tap daily confirmation of personal versus work AI use, with adjustments allowed.
- Pixel Calendar: Each day becomes a pixel colored against your own average, with streaks and a full-year band.
- Usage and Cost (Premium): Tokens, the API-rate cost and estimated water use over today, 30 days and full history.
- Codex Quotas and Widgets (Premium): Quota countdowns plus USAGE and LIMITS widgets.
- Milestones and Friends: 62 milestones and friend trends via QR code or link with no account needed.
- Private by Design: Data stays on device and in your iCloud, with no conversation read and no ads or tracking.
Best for
- Self-Awareness: See how much you rely on AI day to day without being blocked or lectured.
- Cost Tracking: Estimate what your token use would cost at API rates.
- Environmental Awareness: View an estimate of the water behind your AI usage.
- Work-Life Separation: Separate personal AI use from work-hours use.
- Quota Planning: Watch Codex limits and reset countdowns to avoid wasting capacity.
- Group Accountability: Compare trends with friends without sharing exact numbers.