Comparison
pandas-ai vs unstract
Verdict
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; pick unstract if unstract is a Python-driven tool for transforming unstructured data into structured formats using OCR, PDF extraction, and other techniques to integrate with.
Markdown twin · pandas-ai alternatives · unstract alternatives
GraphCanon updated 4d
vs
Trust & integrity
| Signal | pandas-ai | unstract |
|---|---|---|
| Maintenance | Slowing (292d since push) As of 4d · github_public_v1 | Very active (0d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4d · github_public_v1 | Not a fork · Organization account As of 3w · 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
- pandas-ai
- Chat with your database or your datalake using LLMs and RAG.
- unstract
- LLM-Driven Extraction of Unstructured Data for API Deployments and ETL Pipeline Workflows
Stars
- pandas-ai
- 24k
- unstract
- 6.9k
Forks
- pandas-ai
- 2.3k
- unstract
- 663
Open issues
- pandas-ai
- 22
- unstract
- 88
Language
- pandas-ai
- Python
- unstract
- Python
Adopt for
- 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
- unstract
- Unstract is a Python-driven tool for transforming unstructured data into structured formats using OCR, PDF extraction, and other techniques to integrate with APIs and ETL workflows under AGPL-3.0 license.
Persona
- pandas-ai
- -
- unstract
- -
Runtime
- pandas-ai
- -
- unstract
- -
License
- pandas-ai
- Other
- unstract
- AGPL-3.0
Last pushed
- pandas-ai
- Oct 28, 2025
- unstract
- Jul 27, 2026
Categories
- pandas-ai
- Data & Retrieval, LLM Frameworks
- unstract
- Data & Retrieval, LLM Frameworks
Trust and health
Maintenance
- pandas-ai
- Slowing (36%)
- unstract
- Very active (96%)
Days since push
- pandas-ai
- 292d
- unstract
- 0d
Open issues (now)
- pandas-ai
- 22
- unstract
- 88
Stars delta
- pandas-ai
- +90 (30d)
- unstract
- Unknown
Open issues delta
- pandas-ai
- +1 (30d)
- unstract
- Unknown
Full report
- pandas-ai
- Trust report
- unstract
- Trust report
Choose pandas-ai if…
- License: pandas-ai is Other, unstract is AGPL-3.0.
- 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, database.
- pandas-ai ships Docker support for self-hosted deployment.
- - 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.
Choose unstract if…
- License: unstract is AGPL-3.0, pandas-ai is Other.
- Tags unique to unstract: ai-agents, data-engineering, document-ai, generative-ai.
- You prioritize open-source contributions and require the flexibility of the AGPL-3.0 license.
When NOT to use unstract
- Your workflow strictly adheres to closed-source software management policies and requires proprietary control.
- Projects needing direct integration with commercial data processing services incompatible with AGPL-3.0 licensing.
- Cases where real-time performance is critical, as the LLM-driven extraction may introduce latency.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (Zipstack/unstract) · observed Jul 28, 2026
- GitHub forks (Zipstack/unstract) · observed Jul 28, 2026
- Last push (Zipstack/unstract) · observed Jul 27, 2026
- License file (AGPL-3.0) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: pandas-ai 24k · unstract 6.9k (synced Aug 17, 2026).
Common questions
- What is the difference between pandas-ai and unstract?
- pandas-ai: Chat with your database or your datalake using LLMs and RAG.. unstract: LLM-Driven Extraction of Unstructured Data for API Deployments and ETL Pipeline Workflows. See the comparison table for live GitHub stats and shared categories.
- When should I choose pandas-ai over unstract?
- Choose pandas-ai over unstract when License: pandas-ai is Other, unstract is AGPL-3.0; 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, database; pandas-ai ships Docker support for self-hosted deployment; - When you need to perform complex data analysis tasks interactively through natural language commands.
- When should I choose unstract over pandas-ai?
- Choose unstract over pandas-ai when License: unstract is AGPL-3.0, pandas-ai is Other; Tags unique to unstract: ai-agents, data-engineering, document-ai, generative-ai; You prioritize open-source contributions and require the flexibility of the AGPL-3.0 license.
- 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.
- When should I avoid unstract?
- Your workflow strictly adheres to closed-source software management policies and requires proprietary control. Projects needing direct integration with commercial data processing services incompatible with AGPL-3.0 licensing. Cases where real-time performance is critical, as the LLM-driven extraction may introduce latency.
- Is pandas-ai or unstract more popular on GitHub?
- pandas-ai has more GitHub stars (23,746 vs 6,932). Stars measure visibility, not whether either tool fits your constraints.
- Are pandas-ai and unstract open source?
- Yes - both are open-source projects on GitHub (pandas-ai: Other, unstract: AGPL-3.0).
- Where can I find alternatives to pandas-ai or unstract?
- GraphCanon lists graph-backed alternatives at pandas-ai alternatives and unstract alternatives (pandas-ai markdown twin, unstract 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, pandas-ai or unstract?
- pandas-ai: Slowing. unstract: Very active. 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 pandas-ai and unstract?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: pandas-ai trust report; unstract trust report.