Detailed comparison across 10 dimensions
Winner: DeepPavlov
DeepPavlov clearly comes out ahead of Phidata on Staquest's weighted six-dimension score. Both offer a free tier. Phidata's paid plans start at $150/mo.
| Overview | ||
|---|---|---|
| Type | ai tool | ai tool |
| Company | DeepPavlov (MIPT) | Phidata |
| Free Tier | ||
| Has API | ||
| Open Source | ||
| Trending | Stable | Stable |
| Industries | DevelopmentMarketingEducation & EdTechAI & Machine Learning | DevelopmentData & AnalyticsAI & Machine Learning |
| Categories | ai-chatbot | ai-chatbotai-agents-frameworks |
| Website | Visit | Visit |
DeepPavlov
open source
open source
per seat
custom
| Feature | deeppavlov | phidata |
|---|---|---|
| Command Line Interface | ||
| 1 Live Connection | ||
| Modular Pipeline | ||
| 4 Total Seats Included | ||
| Nlp Framework | ||
| Build Multi-Agent Systems | ||
| Pre-Trained Models | ||
| Chat With Agents, Teams And Workflows | ||
| Python Api | ||
| Community Support And Forums | ||
| Control Plane For Live Agentos | ||
| Custom Agent Solutions | ||
| Custom Sso And Rbac | ||
| Customization | ||
| Dedicated Slack Channel | ||
| Dedicated Technical Lead | ||
| Everything In Free | ||
| Everything In Pro | ||
| Jumpstart & Community | ||
| Knowledge & Memory Management | ||
| Pre-Built Production-Ready Codebases | ||
| Run Agent Systems Using The Agentos Control Plane For Local Agentos | ||
| Self-Hosted Control Plane | ||
| Session Monitoring & Metrics | ||
| Support & Scale | ||
| Support Sla | ||
| System Evaluations | ||
| Unlimited Chats | ||
| Unlimited Knowledge | ||
| Unlimited Memories |
Showing 30 of 30 features
Dashes mean the feature isn't listed in our data. The tool may still support it.
On Staquest's weighted six-dimension scoring, DeepPavlov comes out ahead overall, though Phidata can be the better fit depending on your priorities — see the dimension-by-dimension breakdown above.
Both DeepPavlov and Phidata offer a free tier.
DeepPavlov scores higher on pricing value in Staquest's analysis. It is the highest-weighted dimension in this comparison.
