What is pandas built with?

pandas is a Python repo. It stores its data in pyarrow, reaches it with SQLAlchemy, makes its content with html5lib, nbformat, odfpy, lxml, jinja2, and 9 more, is tested with moto, pytest-cov, pytest-xdist, and Pytest, and uses gcsfs, pickleshare, psycopg2-binary, pyiceberg, pymysql, and 3 more. It has 758,101 written lines, with 1,263 test files.

Read on November 5, 2026, at commit 249a3e4. Read it as markdown

Frontend

Interface 3

Backend

Data 9

Data access 1

Support

Content 14

2 more
  • nbformat
  • odfpy

Testing 4

  • Pytest946 files
  • pytest-cov
  • pytest-xdist
  • moto

Tools 16

  • Numba11 files
  • Sphinx2 files
  • cython1 file
  • ipython1 file
  • coverage
  • ipykernel
  • notebook
  • pre-commit
  • pygments
  • scipy-stubs
  • gitpython2 files
  • mypy
4 more
  • pip
  • tokenize-rt
  • types-python-dateutil
  • types-pyyaml

Other 13

  • NumPy173 files
  • SciPy8 files
  • python-dateutil2 files
  • fsspec1 file
  • pyyaml1 file
  • bottleneck
  • numexpr2 files
  • requests1 file
  • natsort
  • pytz
  • tabulate
  • tzdata
1 more
  • zstandard

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Frequently asked questions

What language is pandas written in?
pandas is written in Python, with 758,101 written lines.
What database does pandas use?
pandas stores its data in pyarrow and reaches it with SQLAlchemy.
What services does pandas use?
pandas uses gcsfs, pickleshare, psycopg2-binary, pyiceberg, pymysql, fastparquet, Postgres, and s3fs.
Does pandas have tests?
Yes. pandas has 1,263 test files and is tested with moto, pytest-cov, pytest-xdist, and Pytest.
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