Open source pricing tradeoffs
By Erik Loyd, SaaS CEO and former COO/CFO of an AWS Premier Partner.
Data as of July 17, 2026
"Open source" and "free" are not the same thing. Across the 1071 tools we have analyzed and classified by pricing model, 73.1% are genuinely, fully free with no paid tier waiting behind them. 25% offer free as a doorway to a paid plan: open core, freemium, or free to self-host but paid in the cloud.
The tradeoff sharpens with team size. Of the 1071 tools carrying a team-size recommendation, 514 are the right free choice for a solo developer. But for a large team, 497 of those tools call for a paid or self-hosted tier instead of the free one. That gap is the clearest measure of what "free" stops covering as you scale.
How the catalog splits by pricing model
| Pricing model | Tools | Share |
|---|---|---|
| Fully free | 783 | 73.1% |
| Open core | 138 | 12.9% |
| Free self-hosted, paid cloud | 116 | 10.8% |
| Source available | 20 | 1.9% |
| Freemium | 14 | 1.3% |
Where the recommendation flips by team size
Out of 1071 tools with a team-size recommendation.
Where open source most often means open core
Categories with at least 10 analyzed tools, ranked by the share shipped as open core: a free base with the features teams grow into held back for a paid edition.
| Category | Tools | Open core |
|---|---|---|
| Analytics | 10 | 50% |
| UI Components | 12 | 33% |
| Infrastructure as Code | 10 | 30% |
| Data Visualization | 10 | 30% |
| Scheduling | 11 | 27% |
| Monitoring | 25 | 24% |
| Databases | 37 | 22% |
| AI Agent Frameworks | 23 | 22% |
| Developer Tools | 19 | 21% |
| Auth | 14 | 21% |
| Code Editors | 10 | 20% |
| 3D Graphics | 11 | 18% |
| Communication | 22 | 18% |
| Kubernetes Tools | 11 | 18% |
| Productivity | 24 | 17% |
| AI Agent Tools - Runtimes | 23 | 17% |
| Data Processing | 19 | 16% |
| Security | 36 | 14% |
| AI/ML | 40 | 13% |
| Build Tools | 16 | 13% |
| Documentation | 19 | 11% |
| Observability | 10 | 10% |
| Internationalization | 11 | 9% |
| AI Agent Tools - Frameworks | 11 | 9% |
| Media Processing | 14 | 7% |
| Web Frameworks | 29 | 7% |
| LLM Inference | 16 | 6% |
| Testing | 17 | 6% |
| Networking | 24 | 4% |
| MCP Servers - AI | 20 | 0% |
| Container Orchestration | 10 | 0% |
| Terminal/CLI | 22 | 0% |
| AI Agent Tools - Skills | 31 | 0% |
| AI Coding | 27 | 0% |
| Libraries & SDKs | 15 | 0% |
| Static Site Generators | 10 | 0% |
| MCP Servers - Infrastructure | 36 | 0% |
| AI Research | 15 | 0% |
| MCP Servers - Developer Tools | 34 | 0% |
| MCP Servers - Data | 13 | 0% |
Methodology
Every tool here has been read and classified by hand into one of five pricing models, and given a team-size recommendation for solo, small, and large teams. The classification rides alongside the same editorial pass that produces each tool's Lens and Discovery Score. For how the Discovery Score is built, see how we score tools. For who does the analysis and why, see about the author. The figures on this page are recomputed from the live catalog, not frozen into copy, so they move as the catalog grows.
Download the data
The full per-tool table (name, category, pricing model, and team-size recommendation) is free to download and reuse:
Citing this data
If you reference these numbers, please cite the source and the date you pulled them, since they change as the catalog grows:
The Open Source Drop, "Open Source Pricing Tradeoffs," opensourcedrop.com/data/pricing-tradeoffs (data as of July 17, 2026).