BambooAI
An LLM-driven data analyst that works in a persistent Python kernel, one cell at a time, and reproduces its own results before it reports them. Give it a dataset and a question; it writes and runs code, reads the output, decides the next step, and ends with a report whose cited numbers have been re-executed in a fresh kernel. It runs on your machine with your own model keys; the code the model writes runs in a Docker container, not under your account.
pip install bambooai
bambooai serve
Requirements: Python 3.11 or newer, and Docker running. The first serve creates ~/bambooai,
writes a .env there, builds the executor image and opens the browser. Put a model key in the .env
(an OpenRouter key covers the default configuration) and start again.
Documentation, configuration and the source: https://github.com/pgalko/BambooAI
Hosted version: https://bambooai.org
BambooAI 1.x was a notebook library; it remains installable as bambooai<2.
1 maintainer
Metadata
1 maintainer
Release files for bambooai 2.5.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| bambooai-2.5.1.tar.gz | 1.4 MB | With provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| bambooai-2.5.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.8 MB
Release files / bambooai-2.5.1.tar.gz
| Download URL | bambooai-2.5.1.tar.gz |
|---|---|
| Size | 1.4 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
5982c1fe1de201584983f6ef81e781091a9bd27a24f6df2eb974cb05f8b99a56
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BLAKE2b-256 checksum How to use checksums |
e67ee73518a36be3afece888216f166187b25fc29ce7ec15618b14524605b545
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.16
|
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Transparency logRelease files / bambooai-2.5.1-py3-none-any.whl
| Download URL | bambooai-2.5.1-py3-none-any.whl |
|---|---|
| Size | 1.4 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
0e29c530ffa37cddade4e306d767e639f4b32a7036196ffe0b698fe379d6c8e5
|
|
BLAKE2b-256 checksum How to use checksums |
d69430d4ec0dfa98eb981565a1045b5f8951585f6813f8d7cdef64765e8cfb95
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.16
|
Provenance
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PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
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Transparency logSecurity for bambooai 2.5.1
Provenance
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Full provenance
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Attestation for bambooai-2.5.1.tar.gz
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 24, 2026.
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