CovaSyn vs DIY Python: When Is Build vs Buy Worth It?
RDKit, Open Babel, OpenMS, and 50 more Python packages are free. You could build your chemistry stack yourself. Should you? An honest build-vs-buy analysis for pharma R&D teams.
TL;DR
DIY is cheap in software, expensive in engineering time, updates, and validation argumentation. Crossover typically sits at one senior engineer day per month — above that, CovaSyn almost always wins.
Quick Overview
| Criterion | CovaSyn | DIY Python (RDKit + Custom Code) |
|---|---|---|
| Software cost | €250–750/mo | €0 (open source) |
| Initial setup | <1h (MCP config) | 40–80h |
| Maintenance | 0h (we patch) | 4–8h/month |
| Tool coverage | 130 functions ready | Wrap yourself |
| Validation | Enterprise pack | Write yourself |
| Audit trail | Built-in | Log yourself |
| Updates | Weekly, automatic | Pin or maintain |
| Vendor risk | Single vendor | Zero vendor, 100% internal |
When DIY Python (RDKit + Custom Code) Makes Sense
DIY pays off when your team has more than one senior cheminformatician with Python skills who is already maintaining this layer. When your use case is highly specific (e.g., proprietary internal algorithms) and tool need is <20 functions. When validation is not relevant to your workflow (academic, early-discovery).
When CovaSyn Makes Sense
CovaSyn pays off when you have no engineering capacity for maintenance, when you need regulatory validation, when your tool need is broad (50+ functions across domains like ADMET + tox + MS + NMR), or when you prioritize time-to-value over software cost optimization.
Pricing Comparison
DIY TCO over 12 months: ~€8,000–25,000 (engineering time @ €100/h × 80–250h setup+maintenance). CovaSyn Pro 12 months: €3,000. Unlimited 12 months: €9,000. Even Unlimited is usually cheaper than DIY.
Bottom Line
Engineering org that happens to do chemistry: DIY. Pharma org that buys engineering: CovaSyn.