lakefs
lakeFS Python SDK Wrapper
Decision gist · record as of 2026-08-14
Yes. The package is actively maintained, has no known vulnerabilities, carries a permissive Apache-2.0 license, and installs with minimal friction. It is a sensible choice if you are already using lakeFS and want a Pythonic, higher-level interface rather than working directly with the lower-level SDK.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later; requires a running lakeFS server and valid credentials (via environment variables, .lakectl.yaml, or explicit Client initialization).
- Low friction installation with only two runtime dependencies (lakefs-sdk and pyyaml).
- The package is actively maintained with a recent release and no known vulnerabilities.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows use in commercial and private projects with minimal restrictions; you must include a copy of the license and state significant changes.
last release 2026-04-10 (126 days) · last repo commit 2026-08-05 · 5,485 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 383,463 downloads/mo, #7,077 on PyPI
Alternatives
Verify before relying
pip install lakefs
import lakefs
repo = lakefs.repository(repository_id="my-repo")
branch = repo.branch("main")
for obj in branch.objects():
print(f"{obj.path}: {obj.size_bytes}")- Whether the package handles concurrent operations safely or has thread-safety guarantees.
- Performance characteristics when working with large numbers of objects or branches.
- Whether all lakeFS server versions are supported or if there are compatibility constraints.
What it is and what it does
lakefs is a Python wrapper that sits on top of the lower-level lakefs-sdk, providing a more intuitive object-oriented interface for working with lakeFS repositories. It abstracts away configuration boilerplate by inferring credentials from environment variables or configuration files, and offers higher-level operations like branching, committing, and diffing that mirror Git-like workflows but operate on data lake objects.
The package is designed for developers who want to programmatically manage versioned data repositories without wrestling with low-level SDK details. You work with Repository, Branch, and Reference objects to perform common tasks: listing objects, reading and writing files, creating commits, computing diffs between branches, and traversing version history using ref expressions similar to Git's revision syntax.
Use it for
- Automate data pipeline workflows that need to version control datasets across multiple branches and commits.
- Search or process objects stored in specific lakeFS references without manual credential management.
- Programmatically upload datasets and commit them with descriptive messages in a CI/CD pipeline.
- Compare data changes between branches to detect drift or validate transformations.
- Build Python applications that treat a lakeFS repository as a versioned data source.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package is actively maintained, has no known vulnerabilities, carries a permissive Apache-2.0 license, and installs with minimal friction. It is a sensible choice if you are already using lakeFS and want a Pythonic, higher-level interface rather than working directly with the lower-level SDK.
Install
lakefs on PyPI
Before you install
Low friction installation with only two runtime dependencies (lakefs-sdk and pyyaml). The package is actively maintained with a recent release and no known vulnerabilities.
Requires Python 3.10 or later; requires a running lakeFS server and valid credentials (via environment variables, .lakectl.yaml, or explicit Client initialization).
License in practice
Apache-2.0 permissive license allows use in commercial and private projects with minimal restrictions; you must include a copy of the license and state significant changes.
Quickstart
pip install lakefs
import lakefs
repo = lakefs.repository(repository_id="my-repo")
branch = repo.branch("main")
for obj in branch.objects():
print(f"{obj.path}: {obj.size_bytes}")
Verify before relying
- Whether the package handles concurrent operations safely or has thread-safety guarantees.
- Performance characteristics when working with large numbers of objects or branches.
- Whether all lakeFS server versions are supported or if there are compatibility constraints.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packageslakefs-sdkpyyaml |
| Maintenance | Actively maintained 126 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 383,463 / month, #7,077 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Intended Audience :: DevelopersOperating System :: OS IndependentProgramming Language :: Python :: 3Topic :: Software Development :: Libraries :: Python ModulesTopic :: Software Development :: Version ControlTopic :: UtilitiesTyping :: Typed |
Evidence: lakefs-0.16.0-py3-none-any.whl
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