head to head · open source
duckdb vs django-DefectDojo
duckdb has 42,747 GitHub stars, 4,176 forks, 858 open issues and last shipped yesterday. django-DefectDojo has 5,181 stars, 2,011 forks, 212 open issues and last shipped yesterday. duckdb leads on adoption by 725% (42,747 vs 5,181 stars). duckdb is written in C++ under MIT; django-DefectDojo is written in Python under BSD-3-Clause. duckdb has attracted 10% as many forks as stars, django-DefectDojo 39%. duckdb was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (analytics), so they are genuine substitutes rather than adjacent tools.
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
| duckdb | django-DefectDojo | |
|---|---|---|
| GitHub stars | ★ 43K | ★ 5.2K |
| License | MIT | BSD-3-Clause |
| Written in | C++ | Python |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 4.2K | ⑂ 2.0K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick duckdb if
- You weight community size — 43K stars and counting
- You want the MIT license terms
- Your stack matches C++
- You value the larger contributor base for long-term maintenance
pick django-DefectDojo if
- You want the django-DefectDojo feature set and don't need the biggest community
- You prefer the BSD-3-Clause license terms
- Your stack matches Python
- You evaluated both and django-DefectDojo fits your workflow better
About duckdb
DuckDB DuckDB is a high performance analytical database system. It is designed to be fast, reliable, portable, and easy to use. DuckDB provides a rich SQL dialect with support far beyond basic SQL. DuckDB supports arbitrary and nested correlated subqueries, window functions, collations, complex types (arrays, structs, maps), and several extensions designed to make SQL easier to use. DuckDB is available as a standalone CLI application and has clients for Python, R, Java, Wasm, etc., with deep integrations with packages such as pandas and dplyr. For more information on using DuckDB, please refer to the DuckDB…
read the full duckdb overview →
About django-DefectDojo
DefectDojo DefectDojo is a DevSecOps, ASPM (application security posture management), and vulnerability management tool. DefectDojo orchestrates end to end security testing, vulnerability tracking, deduplication, remediation, and reporting. Demo Pro Edition: pro.demo.defectdojo.com OWASP Community Edition: demo.defectdojo.org Either demo environment can be logged into with username admin and password 1Defectdojo@demo appsec . Please note that the demos are publicly accessible and reset every day. Do not put sensitive data in the demo. An easy way to test DefectDojo is to upload some sample scan reports. Quick…
read the full django-DefectDojo overview →
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Frequently asked questions
Is duckdb or django-DefectDojo more popular?
duckdb has 42,747 GitHub stars and django-DefectDojo has 5,181. duckdb has the larger community by that measure.
Are duckdb and django-DefectDojo free?
Both are open source. duckdb is licensed under MIT and django-DefectDojo under BSD-3-Clause. Neither carries a licence fee.
What is the difference between duckdb and django-DefectDojo?
duckdb is written in C++ and django-DefectDojo in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, duckdb or django-DefectDojo?
Choose duckdb if you want the larger community (42,747 stars) or its MIT licence terms. Choose django-DefectDojo if its feature set, stack or BSD-3-Clause licence fits better. Both are self-hostable.