head to head · open source
gs-quant vs databunker
gs-quant has 13,876 GitHub stars, 1,928 forks, 73 open issues and last shipped 6 days ago. databunker has 1,494 stars, 101 forks, 4 open issues and last shipped 4 days ago. gs-quant leads on adoption by 829% (13,876 vs 1,494 stars). gs-quant is written in Python under Apache-2.0; databunker is written in Go under MIT. gs-quant has attracted 14% as many forks as stars, databunker 7%. databunker was the more recently maintained of the two, and both are self-hostable with no licence fee.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| gs-quant | databunker | |
|---|---|---|
| GitHub stars | ★ 14K | ★ 1.5K |
| License | Apache-2.0 | MIT |
| Written in | Python | Go |
| Last push | 2026-10-28 | 2026-10-30 |
| Forks | ⑂ 1.9K | ⑂ 101 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick gs-quant if
- You weight community size — 14K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick databunker if
- You want the databunker feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Go
- You evaluated both and databunker fits your workflow better
About gs-quant
GS Quant GS Quant is a Python toolkit for quantitative finance, created on top of one of the world’s most powerful risk transfer platforms. Designed to accelerate development of quantitative trading strategies and risk management solutions, crafted over 25 years of experience navigating global markets. It is created and maintained by quantitative developers (quants) at Goldman Sachs to enable the development of trading strategies and analysis of derivative products. GS Quant can be used to facilitate derivative structuring, trading, and risk management, or as a set of statistical packages for data analytics…
read the full gs-quant overview →
About databunker
Databunker Databunker is a self hosted, GDPR compliant, Go based tool for secure personal records tokenization and storage PII/PHI/KYC: Databunker intro 💣 The Big Problem with Traditional Database Encryption Traditional database encryption solutions often provide a false sense of security. While they may encrypt data at rest, they leave critical vulnerabilities: Encryption alone isn’t enough: Most vendors offer only disk block encryption, ignoring API level encryption Vulnerable GraphQL Queries: Unfiltered queries can expose unencrypted data to attackers SQL Injection Risks: Attackers can retrieve plaintext…
read the full databunker overview →
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Frequently asked questions
Is gs-quant or databunker more popular?
gs-quant has 13,876 GitHub stars and databunker has 1,494. gs-quant has the larger community by that measure.
Are gs-quant and databunker free?
Both are open source. gs-quant is licensed under Apache-2.0 and databunker under MIT. Neither carries a licence fee.
What is the difference between gs-quant and databunker?
gs-quant is written in Python and databunker in Go. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, gs-quant or databunker?
Choose gs-quant if you want the larger community (13,876 stars) or its Apache-2.0 licence terms. Choose databunker if its feature set, stack or MIT licence fits better. Both are self-hostable.