Promptfoo vs TextGrad
Promptfoo
promptfoo.devTextGrad
textgrad.comSide by side
| Figure | Promptfoo | TextGrad |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | Yes | — |
| Web | Yes | — |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | Yes |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 0 |
| Spec score · Prompt Engineering Tools | 8.5 (#10) | 6.7 (#21) |
| Integrations | Documented integrations include LangChain, LangGraph, CrewAI, MCP, Splunk, Burp Suite, GitHub Actions, GitLab, Jenkins, CircleCI, Azure Pipelines, and Bitbucket Pipelines. | The maker's GitHub README says a LiteLLM-based engine supports models available through LiteLLM, including Bedrock, Together, and Gemini. |
| License | The open-source project is distributed under the MIT license. | The maker's GitHub repository lists the project license as MIT. |
| Model providers | Provider documentation covers OpenAI, Anthropic, Google, Vertex, HTTP, JavaScript, Python, Ruby, shell, OpenAI Agents, and other services. | The repository says its experimental LiteLLM engine supports models available through LiteLLM, including Bedrock, Together, and Gemini. |
| Product | Promptfoo helps developers and enterprises build secure, reliable AI applications. | TextGrad is a Python package for building LLM-gradient pipelines that optimize text. |
| Security | The site displays SOC 2 and ISO 27001 certification badges. | The official website and documentation pages reviewed do not state security or compliance features. |
| Support | Community support is provided through chat and GitHub issues, while Enterprise includes professional services and dedicated Slack support. | The official website links to API documentation and a public GitHub repository for source code. |
Plans
In their own words
Promptfoo
Promptfoo helps developers and enterprises evaluate prompts and test AI applications for security risks. It compares prompt outputs across multiple models in a web view. Red-team testing simulates users to look for prompt injections, jailbreaks, data leaks, business rule violations and insecure agent tool use. Its getting-started guide lists more than 60 providers, including OpenAI, Anthropic, Google and local models such as Ollama. Integrations include CI systems such as GitHub Actions, GitLab CI, Jenkins, Azure Pipelines, CircleCI and Bitbucket Pipelines, plus Splunk, Burp Suite, Google Sheets and MCP. Installation is available through npm, npx or Homebrew. Promptfoo requires Node.js 22.22.0 or newer and recommends Node.js 24 LTS. The free Community plan includes all LLM evaluation features and 10k red-team probes per month, and can run locally or be self-hosted. Enterprise includes managed cloud deployment; On-Premise runs on customer infrastructure. Promptfoo says it is based in San Francisco, is now part of OpenAI and remains open source.