Promptfoo vs RedFang
Promptfoo
promptfoo.devRedFang
redfang.orgSide by side
| Figure | Promptfoo | RedFang |
|---|---|---|
| Price from | Free | $19/mo |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | Yes | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 3 | 2 |
| Spec score · AI Red Teaming Tools | 8.6 (#4) | 7.5 (#18) |
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.
RedFang
RedFang is a cloud AI red-team scanner aimed at indie builders. It scans AI agents, GitHub repositories and application URLs, including listed customer-service chatbot targets. Before scanning, it requires a TXT-record or file-upload challenge to verify target ownership. RedFang says scans take five minutes and return grades from A+ to F. Seven v1 categories cover direct prompt injection, tool misuse, sensitive data leakage, output-as-attack-vector, agent overreach, denial-of-wallet and system-prompt extraction. Repository scans look for exposed keys, broken authentication and AI-introduced bugs. The stated methodology follows the OWASP LLM Top 10 threat model and tests 12 known direct prompt-injection patterns per scan. Reports can include plain-language findings, the successful prompt, a curl reproduction command, fix code and a retest. PDF and HTML exports are listed. Free preview costs nothing; Full report costs $19 a month. A shareable badge shows the latest grade, with weekly, daily or continuous scan cadence by tier.