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ProofHound vs TextGrad

Both stand on ai prompt generators. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

ProofHound

Free plan APISelf-hostedWeb

Choose ProofHound for LLM classification workflows that need prompt iteration, auditable experiments, and controlled deployment. The free plan has tight project, member, and upload limits; the Pro plan is planned but checkout is not open.

Visit ProofHound

TextGrad

Free plan LinuxSelf-hosted

TextGrad provides a PyTorch-like way to optimize text and other objects using LLM feedback. Its provider keys, experimental engine, and deployment options are important practical considerations.

Visit TextGrad

The facts

ProofHoundTextGrad
Free planYesYes
Open sourceNot publishedNot published
Runs onAPI, Self-hosted, WebLinux, Self-hosted
Lowest paid planPro: $29 a monthNot published
Plans published3None
MakerNot publishedNot published
Websiteproofhound.orgtextgrad.com
On ai prompt generators#18 of 28#22 of 28

ProofHound: what it does well

  • Accepts CSV, TSV, JSONL, JSON array, and ZIP datasets.
  • Targets overall accuracy or category-specific recall and precision.
  • Keeps immutable prompt versions and experiment records.
  • Supports A/B testing, staged releases, full rollout, and rollback.
  • Offers self-hosting and private data storage on user infrastructure.

What to know first

  • The free plan is limited to three projects and one member.
  • Free plan dataset uploads are capped at 200MB each.
  • The Pro checkout is not open yet.
  • Users bring their own model provider.

TextGrad: what it does well

  • Free Python package under the MIT License
  • Uses PyTorch-like loss and optimization APIs
  • Optimizes text, code, prompts, and molecules
  • Supports prompt variables and prompt testing
  • Works with LiteLLM model providers

What to know first

  • Tutorials require an OpenAI or Anthropic key
  • LiteLLM engine is experimental
  • Runs on Linux or self-hosted setups

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