Palt vs Theneo

Palt is a hosted API documentation platform for creating, publishing, and managing interactive reference material from OpenAPI specifications. Import OpenAPI or Swagger JSON and YAML files for OpenAPI 3.0 and later, then let readers try endpoints in a browser-based console. Palt also generates code samples in cURL, JavaScript, Python, Go, and more. A visual editor offers custom colors, fonts, dark mode, HTTP-method colors, and company logos; endpoint search includes keyboard shortcuts. Published documentation can use a custom domain or be embedded in an existing site. Custom domains are free and include automatic SSL. The Free plan costs nothing and includes 3 projects, a custom domain, the Try It playground, and basic analytics. Pro costs $19 a month per project and adds branding removal, custom CSS, advanced analytics, and priority support. Enterprise pricing is custom and includes SSO, audit logs, an SLA guarantee, and dedicated support. Palt says it does not store API keys or sensitive request data.

Theneo is a developer portal for publishing API references, guides, changelogs, and customer-specific private portals. It creates interactive API documentation from OpenAPI files, Postman collections, or Git connections, with code samples, live testing, and CI/CD sync. Supported formats include REST, AsyncAPI, SOAP, GraphQL, and gRPC. Teams can co-edit, comment, review changes, track versions, and roll back. AI tools include documentation generation, Ask AI answers, release summaries, MCP, and llms.txt support. Private portals can control API visibility by customer and include SSO options and custom branding. Integrations include GitHub and Bitbucket sync, a VS Code extension, Postman sync, CLI, SDK, and API access. Theneo lists SOC 2 Type II, ISO 27001, and ISO 9001 certifications and GDPR compliance; it describes AES-256 encryption at rest, TLS 1.2 or later in transit, and seven-day point-in-time backups. A free plan is available; Business starts at $120/month billed annually. Enterprise includes self-hosting on AWS, Azure, Google Cloud, or on-premises Kubernetes.