head to head · open source
DB-GPT vs PixelRAG
DB-GPT has 20,251 GitHub stars, 3,001 forks, 439 open issues and last shipped 2 days ago. PixelRAG has 10,848 stars, 981 forks, 19 open issues and last shipped 2 days ago. DB-GPT leads on adoption by 87% (20,251 vs 10,848 stars). DB-GPT is written in Python under MIT; PixelRAG is written in Python under Apache-2.0. DB-GPT has attracted 15% as many forks as stars, PixelRAG 9%. DB-GPT was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (rag), 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
| DB-GPT | PixelRAG | |
|---|---|---|
| GitHub stars | ★ 20K | ★ 11K |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-11-03 | 2026-11-03 |
| Forks | ⑂ 3.0K | ⑂ 981 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick DB-GPT if
- You weight community size — 20K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick PixelRAG if
- You want the PixelRAG feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and PixelRAG fits your workflow better
About DB-GPT
DB GPT: Open Source Agentic AI Data Assistant Documents Contact Us Community Paper An open source AI data assistant that connects to your data, writes SQL and code, runs skills in sandboxed environments, and turns analysis into reports, insights, and action. What is DB GPT? DB GPT is an open source agentic AI data assistant for the next generation of AI + Data products. It helps users and teams: connect to databases, CSV / Excel files, warehouses, and knowledge bases ask questions in natural language and let AI write SQL autonomously run Python and code driven analysis workflows load and execute reusable skills…
read the full DB-GPT overview →
About PixelRAG
Official codebase for PIXELRAG: Web Screenshots Beat Text for Retrieval Augmented Generation Yichuan Wang , Zhifei Li , Zirui Wang , Paul Teiletche , Lesheng Jin Matei Zaharia †, Joseph E. Gonzalez †, Sewon Min † Equal contribution † Equal advising Work done at Berkeley SkyLab & BAIR & Berkeley NLP Search any document by how it looks , not just the text it contains. What it is · Give Claude eyes · How it works · Pipelines The two core operations — render a page to screenshots, search a visual index: Live, hosted endpoint — serves a pre built index of 8.28M Wikipedia pages . No setup, no API…
read the full PixelRAG overview →
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Frequently asked questions
Is DB-GPT or PixelRAG more popular?
DB-GPT has 20,251 GitHub stars and PixelRAG has 10,848. DB-GPT has the larger community by that measure.
Are DB-GPT and PixelRAG free?
Both are open source. DB-GPT is licensed under MIT and PixelRAG under Apache-2.0. Neither carries a licence fee.
What is the difference between DB-GPT and PixelRAG?
DB-GPT is written in Python and PixelRAG 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, DB-GPT or PixelRAG?
Choose DB-GPT if you want the larger community (20,251 stars) or its MIT licence terms. Choose PixelRAG if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.