head to head · open source

PaddleOCR vs DB-GPT

PaddleOCR has 89,852 GitHub stars, 11,370 forks, 243 open issues and last shipped 4 days ago. DB-GPT has 20,014 stars, 2,936 forks, 439 open issues and last shipped 4 days ago. PaddleOCR leads on adoption by 349% (89,852 vs 20,014 stars). PaddleOCR is written in Python under Apache-2.0; DB-GPT is written in Python under MIT. PaddleOCR has attracted 13% as many forks as stars, DB-GPT 15%. DB-GPT 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.

PaddleOCR ★ 90K DB-GPT ★ 20K category AI & Machine Learning

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Side by side

PaddleOCR DB-GPT
GitHub stars ★ 90K ★ 20K
License Apache-2.0 MIT
Written in Python Python
Last push 2026-09-16 2026-09-16
Forks ⑂ 11K ⑂ 2.9K
Self-hosting Yes Yes
Data ownership Your server Your server

pick PaddleOCR if

  • You weight community size — 90K 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

full PaddleOCR profile →

pick DB-GPT if

  • You want the DB-GPT feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Python
  • You evaluated both and DB-GPT fits your workflow better

full DB-GPT profile →

About PaddleOCR

PaddleOCR is an Apache 2.0 Python OCR and document AI toolkit that converts PDFs and images into structured, LLM ready JSON or Markdown across more than 100 languages, and it is built for developers who need to feed documents into RAG pipelines, agents, and document parsing services.

read the full PaddleOCR overview →

About DB-GPT

DB GPT is an open source, MIT licensed agentic AI data assistant written in Python that connects to databases, CSV and Excel files, warehouses, and knowledge bases so large language models can write SQL and code, run reusable skills in sandboxed environments, and turn analysis into charts, dashboards, HTML reports, and written insights.

read the full DB-GPT overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Dify ★ 157K Open WebUI ★ 153K langchain ★ 147K

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PaddleOCR vs Dify PaddleOCR vs langchain PaddleOCR vs ponytail PaddleOCR vs generative-ai-for-beginners PaddleOCR vs graphify PaddleOCR vs claude-mem PaddleOCR vs ragflow PaddleOCR vs Agent-Reach PaddleOCR vs headroom PaddleOCR vs Mem0 PaddleOCR vs daily_stock_analysis PaddleOCR vs LiteLLM

Frequently asked questions

Is PaddleOCR or DB-GPT more popular?

PaddleOCR has 89,852 GitHub stars and DB-GPT has 20,014. PaddleOCR has the larger community by that measure.

Are PaddleOCR and DB-GPT free?

Both are open source. PaddleOCR is licensed under Apache-2.0 and DB-GPT under MIT. Neither carries a licence fee.

What is the difference between PaddleOCR and DB-GPT?

PaddleOCR is written in Python and DB-GPT 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, PaddleOCR or DB-GPT?

Choose PaddleOCR if you want the larger community (89,852 stars) or its Apache-2.0 licence terms. Choose DB-GPT if its feature set, stack or MIT licence fits better. Both are self-hostable.