Comparison
DB-GPT vs pandas-ai
Verdict
Pick DB-GPT if dB-GPT is an open-source framework that integrates with various LLM services, streamlining tasks from reasoning to SQL execution and planning; pick pandas-ai if pandasAI is a Python library that allows users to interact conversationally with databases (SQL) and data lakes (CSV, Parquet), leveraging large language models (LLMs) for improved accessibility and efficiency in data wr.
Markdown twin · DB-GPT alternatives · pandas-ai alternatives
GraphCanon updated 3d
vs
Trust & integrity
| Signal | DB-GPT | pandas-ai |
|---|---|---|
| Maintenance | Very active (0d since push) As of 3d · github_public_v1 | Slowing (292d since push) As of 4d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3d · github_public_v1 | Not a fork · Organization account As of 4d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- DB-GPT
- open-source agentic AI data assistant for the next generation of AI + Data products
- pandas-ai
- Chat with your database or your datalake using LLMs and RAG.
Stars
- DB-GPT
- 20k
- pandas-ai
- 24k
Forks
- DB-GPT
- 2.9k
- pandas-ai
- 2.3k
Open issues
- DB-GPT
- 428
- pandas-ai
- 22
Language
- DB-GPT
- Python
- pandas-ai
- Python
Adopt for
- DB-GPT
- DB-GPT is an open-source framework that integrates with various LLM services, streamlining tasks from reasoning to SQL execution and planning.
- pandas-ai
- PandasAI is a Python library that allows users to interact conversationally with databases (SQL) and data lakes (CSV, Parquet), leveraging large language models (LLMs) for improved accessibility and efficiency in data wr
Persona
- DB-GPT
- -
- pandas-ai
- -
Runtime
- DB-GPT
- -
- pandas-ai
- -
License
- DB-GPT
- MIT
- pandas-ai
- Other
Last pushed
- DB-GPT
- Aug 17, 2026
- pandas-ai
- Oct 28, 2025
Categories
- DB-GPT
- Data & Retrieval, LLM Frameworks
- pandas-ai
- Data & Retrieval, LLM Frameworks
Trust and health
Maintenance
- DB-GPT
- Very active (96%)
- pandas-ai
- Slowing (36%)
Days since push
- DB-GPT
- 0d
- pandas-ai
- 292d
Open issues (now)
- DB-GPT
- 428
- pandas-ai
- 22
Stars delta
- DB-GPT
- +239 (30d)
- pandas-ai
- +90 (30d)
Open issues delta
- DB-GPT
- -5 (30d)
- pandas-ai
- +1 (30d)
Full report
- DB-GPT
- Trust report
- pandas-ai
- Trust report
Shared compatibility
- Python · DB-GPT: Python runtime · pandas-ai: Python runtime
Choose DB-GPT if…
- License: DB-GPT is MIT, pandas-ai is Other.
- Tags unique to DB-GPT: agents, bgi, deepseek, gpt.
- - You need a tool that can handle complex data processing and task automation using AI.
When NOT to use DB-GPT
- - You are looking for a heavily community-customized or fine-tuned experience as,DB-GPT's flexibility might be limited compared to more customizable systems.
- - Your use case strictly requires proprietary services and you seek a tool without dependency on third-party LLM services which DB-GPT inherently relies upon.
- - Deployment contexts that strictly adhere to closed-source frameworks or environments where open-source software is restricted might not align well with DB-GPT’s licensing model.
Choose pandas-ai if…
- License: pandas-ai is Other, DB-GPT is MIT.
- Pricing: Pricing details for using pandas-ai, especially those related to the integration of external LLM services like GPT-4, are unclear based on available information..
- Tags unique to pandas-ai: ai, csv, data-analysis, datalake.
- - When you need to perform complex data analysis tasks interactively through natural language commands.
When NOT to use pandas-ai
- - When you require advanced, custom SQL features that cannot be effectively translated from natural language commands.
- - For applications where precise control over every aspect of query formulation is necessary due to performance or security concerns.
- - In scenarios that demand real-time analytical capabilities beyond the conversational analysis offered by PandasAI.
- - If your data operations are better managed through traditional programming techniques and you do not see significant value in conversational data querying.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (eosphoros-ai/DB-GPT) · observed Aug 18, 2026
- GitHub forks (eosphoros-ai/DB-GPT) · observed Aug 18, 2026
- Last push (eosphoros-ai/DB-GPT) · observed Aug 17, 2026
- License file (MIT) · observed Aug 18, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (sinaptik-ai/pandas-ai) · observed Aug 17, 2026
- GitHub forks (sinaptik-ai/pandas-ai) · observed Aug 17, 2026
- Last push (sinaptik-ai/pandas-ai) · observed Oct 28, 2025
- License file (Other) · observed Aug 17, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: DB-GPT 20k · pandas-ai 24k (synced Aug 18, 2026).
Common questions
- What is the difference between DB-GPT and pandas-ai?
- DB-GPT: open-source agentic AI data assistant for the next generation of AI + Data products. pandas-ai: Chat with your database or your datalake using LLMs and RAG.. See the comparison table for live GitHub stats and shared categories.
- When should I choose DB-GPT over pandas-ai?
- Choose DB-GPT over pandas-ai when License: DB-GPT is MIT, pandas-ai is Other; Tags unique to DB-GPT: agents, bgi, deepseek, gpt; - You need a tool that can handle complex data processing and task automation using AI.
- When should I choose pandas-ai over DB-GPT?
- Choose pandas-ai over DB-GPT when License: pandas-ai is Other, DB-GPT is MIT; Pricing: Pricing details for using pandas-ai, especially those related to the integration of external LLM services like GPT-4, are unclear based on available information.; Tags unique to pandas-ai: ai, csv, data-analysis, datalake; - When you need to perform complex data analysis tasks interactively through natural language commands.
- When should I avoid DB-GPT?
- - You are looking for a heavily community-customized or fine-tuned experience as,DB-GPT's flexibility might be limited compared to more customizable systems. - Your use case strictly requires proprietary services and you seek a tool without dependency on third-party LLM services which DB-GPT inherently relies upon. - Deployment contexts that strictly adhere to closed-source frameworks or environments where open-source software is restricted might not align well with DB-GPT’s licensing model.
- When should I avoid pandas-ai?
- - When you require advanced, custom SQL features that cannot be effectively translated from natural language commands. - For applications where precise control over every aspect of query formulation is necessary due to performance or security concerns. - In scenarios that demand real-time analytical capabilities beyond the conversational analysis offered by PandasAI. - If your data operations are better managed through traditional programming techniques and you do not see significant value in conversational data querying.
- Is DB-GPT or pandas-ai more popular on GitHub?
- pandas-ai has more GitHub stars (23,746 vs 19,740). Stars measure visibility, not whether either tool fits your constraints.
- Are DB-GPT and pandas-ai open source?
- Yes - both are open-source projects on GitHub (DB-GPT: MIT, pandas-ai: Other).
- Where can I find alternatives to DB-GPT or pandas-ai?
- GraphCanon lists graph-backed alternatives at DB-GPT alternatives and pandas-ai alternatives (DB-GPT markdown twin, pandas-ai markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, DB-GPT or pandas-ai?
- DB-GPT: Very active. pandas-ai: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for DB-GPT and pandas-ai?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: DB-GPT trust report; pandas-ai trust report.