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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.

Independent benchmark · MolecularIQ

Frontier LLMs reach 14 to 41 percent on chemistry. With CovaSyn MCP attached: 76 to 92 percent.

Independent MolecularIQ benchmark (arXiv:2601.15279). 3,540 verified chemistry tasks, four frontier models. Three reach 85 to 92 %; the cheapest (Gemini 3.5 Flash) lands at 76 %.

85.4 %
Haiku 4.5 + MCP
21.2 % baseline
91.5 %
Opus 4.7 + MCP
40.8 % baseline
89.9 %
GPT-5.5 + MCP
22.3 % baseline
75.7 %
Gemini 3.5 + MCP
13.7 % baseline
Full benchmark data
Pareto frontier: accuracy vs cost per question

Quick Overview

CriterionCovaSynDIY Python (RDKit + Custom Code)
Software costSubscription, tiered by team€0 (open source)
Initial setup<1h (MCP config)40–80h
Maintenance0h (we patch)4–8h/month
Tool coverageTools for NMR, MS, stability, tox and more, ready to useWrap yourself
ValidationEnterprise packWrite yourself
Audit trailBuilt-inLog yourself
UpdatesWeekly, automaticPin or maintain
Vendor riskSingle vendorZero vendor, 100% internal

When DIY Python (RDKit + Custom Code) Makes Sense

DIY pays off when your team has more than one engineer with Python skills already assigned to maintaining this layer. When your use case is highly specific (e.g., proprietary internal algorithms) and your tool need is narrow. 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 (several domains like ADMET + tox + MS + NMR), or when you prioritize time-to-value over software cost optimization.

Cost Comparison

DIY TCO over 12 months is mostly engineering time for setup and maintenance, typically 80–250h. CovaSyn runs as a subscription, tiered by team and need. We'll work out the concrete comparison for your case in the initial call.

Bottom Line

Engineering org that happens to do chemistry: DIY. Pharma org that buys engineering: CovaSyn.

Free account.

CovaSyn vs DIY Python: When Is Build vs Buy Worth It? | CovaSyn