pandasai-litellm
LiteLLM integration for PandaAI
Decision gist · record as of 2026-08-14
Yes, if you want to use pandasai with a non-OpenAI LLM provider or need litellm's multi-provider routing. The package is lightweight and permissively licensed. However, the 0.0.1 version and absence of updates since release suggest early-stage maturity; verify compatibility with your target Python version and litellm setup before committing to production use.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.8 to 3.11; does not support Python 3.12 or later.
- Low install friction; a pure-Python wheel with only two runtime dependencies (pandasai and litellm).
- Maintenance status is aging—no updates since initial release on 2025-03-11.
License · maintenance · safety
MIT (permissive) — MIT permissive license; you can use, modify, and distribute this package freely in commercial and private projects with minimal restrictions.
last release 2025-03-11 (521 days) · last repo commit 2025-10-28 · 23,743 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 81,090 downloads/mo, #14,250 on PyPI
Alternatives
Verify before relying
pip install pandasai pandasai-litellm
import pandasai as pai
from pandasai_litellm.litellm import LiteLLM
llm = LiteLLM(model="gpt-4.1-mini", api_key="YOUR_OPENAI_API_KEY")
pai.config.set({"llm": llm})
df = pai.read_csv("data/companies.csv")
response = df.chat("What is the average revenue by region?")
print(response)- Whether LiteLLM integration is feature-complete relative to other PandasAI LLM backends.
- Stability and breaking-change risk given the 0.0.1 version and lack of updates since release.
- Production readiness and whether the package is actively maintained.
What it is and what it does
pandasai-litellm is a bridge between pandasai and litellm, allowing you to ask natural-language questions about your data using any language model that litellm can route to. Instead of writing pandas code or SQL, you configure a LiteLLM instance with your chosen model and API key, then call methods like `df.chat()` to query dataframes conversationally. The package handles translation of natural language into executable pandas operations and can generate charts on request.
It depends on pandasai (the core data-querying engine) and litellm (the multi-provider LLM abstraction layer). The package is minimal—just the integration glue—and installs with low friction. However, it has not been updated since its 0.0.1 release, and requires Python 3.8 to 3.11, which may limit adoption on newer environments.
Use it for
- Enable non-technical users to explore CSV or dataframe data by asking questions in plain English without learning pandas syntax.
- Quickly prototype data analysis workflows by chatting with your data instead of writing boilerplate pandas code.
- Generate exploratory visualizations by describing them in natural language.
- Analyze multiple related dataframes together by asking cross-dataset questions in a single query.
- Switch between LLM providers without changing your pandasai code, leveraging litellm's routing.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you want to use pandasai with a non-OpenAI LLM provider or need litellm's multi-provider routing.
The package is lightweight and permissively licensed. However, the 0.0.1 version and absence of updates since release suggest early-stage maturity; verify compatibility with your target Python version and litellm setup before committing to production use.
Install
pandasai-litellm on PyPI
Before you install
Low install friction; a pure-Python wheel with only two runtime dependencies (pandasai and litellm). Maintenance status is aging—no updates since initial release on 2025-03-11.
Requires Python 3.8 to 3.11; does not support Python 3.12 or later.
License in practice
MIT permissive license; you can use, modify, and distribute this package freely in commercial and private projects with minimal restrictions.
Quickstart
pip install pandasai pandasai-litellm
import pandasai as pai
from pandasai_litellm.litellm import LiteLLM
llm = LiteLLM(model="gpt-4.1-mini", api_key="YOUR_OPENAI_API_KEY")
pai.config.set({"llm": llm})
df = pai.read_csv("data/companies.csv")
response = df.chat("What is the average revenue by region?")
print(response)Verify before relying
- Whether LiteLLM integration is feature-complete relative to other PandasAI LLM backends.
- Stability and breaking-change risk given the 0.0.1 version and lack of updates since release.
- Production readiness and whether the package is actively maintained.
Package facts
| License | MIT permissive |
| Python support | Capped below the current Python release <3.12,>=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagespandasailitellm |
| Maintenance | Aging 521 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 81,090 / month, #14,250 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | License :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9 |
Evidence: pandasai_litellm-0.0.1-py3-none-any.whl
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